Cloudera Integrations

The Qlik Data Integration platform designed for managed data lakes streamlines the delivery of consistently updated, reliable, and trusted data sets for business analytics purposes. Data engineers enjoy the flexibility to swiftly incorporate new data sources, ensuring effective management at every stage of the data lake pipeline, which includes real-time data ingestion, refinement, provisioning, and governance. It serves as an intuitive and comprehensive solution for the ongoing ingestion of enterprise data into widely-used data lakes in real-time. Employing a model-driven strategy, it facilitates the rapid design, construction, and management of data lakes, whether on-premises or in the cloud. Furthermore, it provides a sophisticated enterprise-scale data catalog that enables secure sharing of all derived data sets with business users, thereby enhancing collaboration and data-driven decision-making across the organization. This comprehensive approach not only optimizes data management but also empowers users by making valuable insights readily accessible.

IBM Db2 Big SQL is a sophisticated hybrid SQL-on-Hadoop engine that facilitates secure and advanced data querying across a range of enterprise big data sources, such as Hadoop, object storage, and data warehouses. This enterprise-grade engine adheres to ANSI standards and provides massively parallel processing (MPP) capabilities, enhancing the efficiency of data queries. With Db2 Big SQL, users can execute a single database connection or query that spans diverse sources, including Hadoop HDFS, WebHDFS, relational databases, NoSQL databases, and object storage solutions. It offers numerous advantages, including low latency, high performance, robust data security, compatibility with SQL standards, and powerful federation features, enabling both ad hoc and complex queries. Currently, Db2 Big SQL is offered in two distinct variations: one that integrates seamlessly with Cloudera Data Platform and another as a cloud-native service on the IBM Cloud Pak® for Data platform. This versatility allows organizations to access and analyze data effectively, performing queries on both batch and real-time data across various sources, thus streamlining their data operations and decision-making processes. In essence, Db2 Big SQL provides a comprehensive solution for managing and querying extensive datasets in an increasingly complex data landscape.

At Progress DataDirect, we are passionate about enhancing applications through enterprise data. Our solutions for data connectivity cater to both cloud and on-premises environments, encompassing a wide range of sources such as relational databases, NoSQL, Big Data, and SaaS. We prioritize performance, reliability, and security, which are integral to our designs for numerous enterprises and prominent analytics, BI, and data management vendors. By utilizing our extensive portfolio of high-value connectors, you can significantly reduce your development costs across diverse data sources. Our commitment to customer satisfaction includes providing 24/7 world-class support and robust security measures to ensure peace of mind. Experience the convenience of our affordable, user-friendly drivers that facilitate quicker SQL access to your data. As a frontrunner in the data connectivity sector, we are dedicated to staying ahead of industry trends. If you happen to need a specific connector that we have not yet created, don't hesitate to contact us, and we will assist you in developing an effective solution. It's our mission to seamlessly embed connectivity into your applications or services, enhancing their overall functionality.

Leverage your data, regardless of its location, with an open and hybrid data lakehouse designed specifically for AI and analytics. Seamlessly integrate data from various sources and formats, all accessible through a unified entry point featuring a shared metadata layer. Enhance both cost efficiency and performance by aligning specific workloads with the most suitable query engines. Accelerate the discovery of generative AI insights with integrated natural-language semantic search, eliminating the need for SQL queries. Ensure that your AI applications are built on trusted data to enhance their relevance and accuracy. Maximize the potential of all your data, wherever it exists. Combining the rapidity of a data warehouse with the adaptability of a data lake, watsonx.data is engineered to facilitate the expansion of AI and analytics capabilities throughout your organization. Select the most appropriate engines tailored to your workloads to optimize your strategy. Enjoy the flexibility to manage expenses, performance, and features with access to an array of open engines, such as Presto, Presto C++, Spark Milvus, and many others, ensuring that your tools align perfectly with your data needs. This comprehensive approach allows for innovative solutions that can drive your business forward.

Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.

Rapidly establish cloud environments tailored for spontaneous development, testing, and enhanced productivity for IT and business personnel. Mitigate the risks and expenses associated with managing your data lake by adopting robust data governance practices that include comprehensive end-to-end data lineage for business users. Achieve greater cost efficiency by providing clean, reliable, and timely data for your data lakes, data warehouses, or big data initiatives, while also consolidating applications and phasing out legacy databases. Benefit from automatic schema propagation to accelerate job creation, implement type-ahead search features, and maintain backward compatibility, all while following a design that allows for execution across varied platforms. Develop data integration workflows and enforce governance and quality standards through an intuitive design that identifies and recommends usage trends, thus enhancing user experience. Furthermore, boost visibility and information governance by facilitating complete and authoritative insights into data, backed by proof of lineage and quality, ensuring that stakeholders can make informed decisions based on accurate information. With these strategies in place, organizations can foster a more agile and data-driven culture.

Create rich, interactive dashboards to accelerate your analytical insights throughout your enterprise. Cloudera Data Visualization allows data engineers, data scientists, and business analysts to explore data, collaborate and share insights throughout the data lifecycle - from data ingest through to data insights. Data Visualization, a native Cloudera product, provides a consistent data visualization experience that is easy to use. It includes drag-and drop dashboards and custom applications. SDX provides full security for Data Visualization, enabling enhanced data workflows in all your data and analytics workflows. Cloudera Machine Learning can be used to build predictive applications, or you can leverage your data warehouse for fast intelligent reporting.

AtScale streamlines and speeds up business intelligence processes, leading to quicker insights, improved decision-making, and enhanced returns on your cloud analytics investments. It removes the need for tedious data engineering tasks, such as gathering, maintaining, and preparing data for analysis. By centralizing business definitions, AtScale ensures that KPI reporting remains consistent across various BI tools. The platform not only accelerates the time it takes to gain insights from data but also optimizes the management of cloud computing expenses. Additionally, it allows organizations to utilize their existing data security protocols for analytics, regardless of where the data is stored. AtScale’s Insights workbooks and models enable users to conduct Cloud OLAP multidimensional analysis on datasets sourced from numerous providers without the requirement for data preparation or engineering. With user-friendly built-in dimensions and measures, businesses can swiftly extract valuable insights that inform their strategic decisions, enhancing their overall operational efficiency. This capability empowers teams to focus on analysis rather than data handling, leading to sustained growth and innovation.

The Trading Platforms enable comprehensive oversight and management of sales processes pertaining to banking, financial, and insurance products, leveraging an in-depth comprehension of various channels and seamless integration with back-end systems, both administrative and managerial. To effectively navigate the traditional "physical" barriers that have historically constrained the three primary operational domains, it is essential to implement a cohesive management approach. These platforms also incorporate features aimed at enhancing customer relationship management, addressing all front-end requirements through various interfaces such as tellers, call centers, and financial advisors. Additionally, there is a strong emphasis on innovation in portfolio modeling and sales planning, which serves as a vital information repository that supports the channels area. This repository aggregates and synthesizes all relevant data and events processed by the back-end systems, ultimately driving strategic decision-making and operational efficiency. By prioritizing these innovations and integrations, organizations can significantly improve their sales processes and customer engagement.

Mage Sensitive Data Discovery module can help you uncover hidden data locations in your company. You can find data hidden in any type of data store, whether it is structured, unstructured or Big Data. Natural Language Processing and Artificial Intelligence can be used to find data in the most difficult of places. A patented approach to data discovery ensures efficient identification of sensitive data and minimal false positives. You can add data classifications to your existing 70+ data classifications that cover all popular PII/PHI data. A simplified discovery process allows you to schedule sample, full, and even incremental scans.

Azquo represents a revolutionary advancement in Business Intelligence, designed to conserve both time and resources by merging processing, calculation, and analytics into one cohesive platform that integrates effortlessly with Excel. Featuring its distinctive Smart Data Store, it functions as a virtual ‘Satellite Data Warehouse,’ linking to all internal and external data sources without disrupting existing systems. The platform's control and reporting interface is based in Excel, allowing Line of Business Analysts to easily extract necessary information while ensuring complete transparency for their Data Scientist counterparts in the I.T. department. Azquo® introduces a fresh perspective on Business Intelligence, transforming the way data is stored, labeled, and utilized by computers. No other reporting system can match the adaptable efficiencies that Azquo offers. Instead of labeling it merely as a database, we emphasize that it lacks the dimensionality typically associated with traditional databases, highlighting its unique approach to data management. This innovative design fundamentally changes how businesses interact with their data, ultimately enhancing decision-making processes across the organization.

Our talented team possesses the creativity, insight, and execution skills necessary to assist organizations in analyzing and interpreting data, transforming it into informed decisions. With over a decade of experience in data integration, visualization, mining, Big Data, predictive analytics, and data science, Datalytics is well-equipped to support our clients. We aspire to be strategic partners for organizations, guiding them in recognizing the true potential of their data analysis capabilities. By harnessing our analytical creativity and knowledge, we empower businesses to make smart decisions and discover new opportunities. In today's world, information stands as the most valuable asset, prompting us to offer a range of services designed to help clients understand, analyze, and transform their data effectively. Our approach includes data architecture, specialized training, and comprehensive technical assessments, which are just a few of the strategies we implement to deliver exceptional Big Data services, ensuring organizations can thrive in a data-driven landscape.

Revolutionize your operations across various sectors by leveraging AI and Automation to establish an Autonomous Enterprise that enhances resilience, assures quality, and elevates the customer experience. Digitate’s ignio addresses your operational challenges, enabling the transition to an Agile, Resilient, and Autonomous Enterprise. Organizations can swiftly adapt to changes, embark on digital transformations, and foster innovation to thrive in competitive landscapes. By utilizing ignio, you can shift your IT and business operations from a reactive stance to a proactive one, propelling you toward the ability to ‘Predict, Prescribe, and Prevent.’ Discover how enterprises can enhance their business and IT operational strategies to forge a path into an Autonomous Enterprise. Begin your transformation journey from Traditional to Automated and ultimately to Autonomous Operations. With the power of AI and Machine Learning, Autonomous Operations empower businesses to minimize manual intervention, seamlessly adapt to both business and IT shifts with lower costs, and prioritize innovation as a core focus. This strategic shift not only optimizes efficiency but also positions organizations to thrive in an ever-evolving landscape.

Quickly prepare data to provide trusted insights across the organization. Business analysts and data scientists spend too much time cleaning out data rather than analyzing it. Talend Data Preparation is a self-service, browser-based tool that allows you to quickly identify errors and create rules that can be reused and shared across large data sets. With our intuitive user interface and self-service data preparation/curation functionality, anyone can perform data profiling, cleansing, enriching and enrichment in real time. Users can share prepared datasets and curated data, and embed data preparations in batch, bulk, or live data integration scenarios. Talend allows you to transform ad-hoc analysis and data enrichment jobs into fully managed, reusable process. You can use any data source, including Teradata and AWS, Salesforce and Marketo, to operationalize data preparation. Always using the most recent datasets. Talend Data Preparation gives you control over data governance.

The Knox API Gateway functions as a reverse proxy, prioritizing flexibility in policy enforcement and backend service management for the requests it handles. It encompasses various aspects of policy enforcement, including authentication, federation, authorization, auditing, dispatch, host mapping, and content rewriting rules. A chain of providers, specified in the topology deployment descriptor associated with each Apache Hadoop cluster secured by Knox, facilitates this policy enforcement. Additionally, the cluster definition within the descriptor helps the Knox Gateway understand the structure of the cluster, enabling effective routing and translation from user-facing URLs to the internal workings of the cluster. Each secured Apache Hadoop cluster is equipped with its own REST APIs, consolidated under a unique application context path. Consequently, the Knox Gateway can safeguard numerous clusters while offering REST API consumers a unified endpoint for seamless access. This design enhances both security and usability by simplifying interactions with multiple backend services.

Securonix Unified Defense SIEM is an advanced security operations platform that integrates log management, user and entity behavior analytics (UEBA), and security incident response, all driven by big data. It captures vast amounts of data in real-time and employs patented machine learning techniques to uncover sophisticated threats while offering AI-enhanced incident response for swift remediation. This platform streamlines security operations, minimizes alert fatigue, and effectively detects threats both within and outside the organization. By providing an analytics-centric approach to SIEM, SOAR, and NTA, with UEBA at its core, Securonix operates as a fully cloud-based solution without compromises. Users can efficiently collect, identify, and address threats through a single, scalable solution that leverages machine learning and behavioral insights. Designed with a results-oriented mindset, Securonix takes care of SIEM management, allowing teams to concentrate on effectively addressing security threats as they arise.

Our security controls, driven by data science, facilitate the automation of advanced threat detection, remediation, and response. Gurucul’s Unified Security and Risk Analytics platform addresses the crucial question: Is anomalous behavior truly a risk? This unique capability sets us apart in the industry. We prioritize your time by avoiding alerts related to non-risky anomalous activities. By leveraging context, we can accurately assess whether certain behaviors pose a risk, as understanding the context is essential. Merely reporting what is occurring lacks value; instead, we emphasize notifying you when a genuine threat arises, which exemplifies the Gurucul advantage. This actionable information empowers your decision-making. Our platform effectively harnesses your data, positioning us as the only security analytics provider capable of seamlessly integrating all your data from the outset. Our enterprise risk engine can absorb data from various sources, including SIEMs, CRMs, electronic medical records, identity and access management systems, and endpoints, ensuring comprehensive threat analysis. We’re committed to maximizing the potential of your data to enhance security.

Assure Compliance Monitoring is a comprehensive suite of Assure Security functionalities designed to swiftly detect security and compliance challenges by generating alerts and reports based on IBM i system operations, database modifications, and insights into Db2 data. The suite comprises two features that can also be utilized independently. Assure Monitoring and Reporting effectively extracts valuable insights from IBM i journal data, providing alerts and reports regarding security breaches and compliance discrepancies. Monitoring capabilities for both systems and databases can be accessed separately or in conjunction, and you also have the option to channel data directly to your enterprise SIEM solution, enabling IBM i security oversight alongside other enterprise platforms. Additionally, Assure Db2 Data Monitor stands out as an innovative tool that oversees access to highly sensitive Db2 data and can even restrict visibility of certain records. Assure Security offers leading-edge IBM i security solutions that empower your organization to adhere to cybersecurity regulations effectively while ensuring robust protection of your data. This holistic approach to security not only safeguards sensitive information but also streamlines compliance processes across your organization.

Mage™ offers comprehensive Static Data Masking (SDM) and Test Data Management (TDM) functionalities that are fully compatible with Imperva’s Data Security Fabric (DSF), ensuring robust safeguarding of sensitive or regulated information. This integration occurs smoothly within an organization’s current IT infrastructure and aligns with existing application development, testing, and data processes, all without necessitating any alterations to the existing architectural setup. As a result, organizations can enhance their data security while maintaining operational efficiency.

The Mage™ Dynamic Data Masking module, part of the Mage data security platform, has been thoughtfully crafted with a focus on the needs of end customers. Developed in collaboration with clients, Mage™ Dynamic Data Masking effectively addresses their unique requirements and challenges. Consequently, this solution has advanced to accommodate virtually every potential use case that enterprises might encounter. Unlike many competing products that often stem from acquisitions or cater to niche scenarios, Mage™ Dynamic Data Masking is designed to provide comprehensive protection for sensitive data accessed by application and database users in production environments. Additionally, it integrates effortlessly into an organization’s existing IT infrastructure, eliminating the need for any substantial architectural modifications, thus ensuring a smoother transition for businesses implementing this solution. This strategic approach reflects a commitment to enhancing data security while prioritizing user experience and operational efficiency.

Acceldata stands out as the sole Data Observability platform that offers total oversight of enterprise data systems, delivering extensive visibility into intricate and interconnected data architectures. It integrates signals from various workloads, as well as data quality, infrastructure, and security aspects, thereby enhancing both data processing and operational efficiency. With its automated end-to-end data quality monitoring, it effectively manages the challenges posed by rapidly changing datasets. Acceldata also provides a unified view to anticipate, detect, and resolve data-related issues in real-time. Users can monitor the flow of business data seamlessly and reveal anomalies within interconnected data pipelines, ensuring a more reliable data ecosystem. This holistic approach not only streamlines data management but also empowers organizations to make informed decisions based on accurate insights.

Transitioning to bare metal switches in Open Networking offers considerable operational and financial advantages for developing advanced networks. These switches are equipped with the necessary capabilities to reach cloud-scale levels while providing agility, elasticity, and adaptability. As you adopt a disaggregated open networking approach, choosing the appropriate Network Operating System (OS) becomes a vital element for success. The reason for this is that the chosen Network OS unleashes the full potential of performance, functionality, and services from Open Networking switches, ensuring maximum value is attained. Netvisor® ONE stands out as an open, secure, and programmable next-generation Network OS specifically designed to enhance the operational capabilities of bare metal Open Networking hardware. This operating system has been thoroughly tested in critical production environments across enterprise and carrier networks, ensuring it meets stringent performance benchmarks. Furthermore, Netvisor ONE guarantees high reliability and flexibility at scale, delivering uncompromised performance that is essential for today's dynamic networking landscape. With its innovative features, Netvisor ONE empowers organizations to stay ahead in a rapidly evolving technology environment.

Talend Data Integration allows you to connect and manage all of your data regardless of where it is located. Connect virtually any data source to any data environment using over 1,000 connectors and component. Drag-and-drop interface makes it easy to create and deploy reusable data pipes. It's 10x faster than hand-coding. Talend has been a leader in scaling large data sets to advanced data analytics and Spark platforms. We partner with top cloud service providers, data warehouses and analytics platforms such as Amazon Web Services, Microsoft Azure and Google Cloud Platform, Snowflake and Databricks. Talend ensures data quality at every stage of data integration. Before inconsistencies disrupt or impact critical decisions, you can identify, highlight, and fix them as data moves through your systems. Connect to data wherever it is, and use it where you want it.

As organizations shift their focus from merely hunting for talent to effectively harnessing and connecting their employees, fostering a collaborative environment has become increasingly essential for talent development. The demand for engaging workplaces and agile teams is growing, prompting HR professionals to seek a more adaptable HR function, which presents fresh opportunities for leaders while also aligning with stakeholder expectations. By embracing this new approach, companies can create a unified HR function that enhances employee engagement and utilizes potential across the organization. TCS’ CHROMA™ emerges as a pivotal Talent 4.0 solution, enabling organizations to swiftly implement HR best practices, encourage collaboration, and nurture talent through intelligent hiring processes. This solution includes seamless onboarding and a wide range of benefits tailored to diverse needs, along with user-friendly mobile features for managing leave, attendance, and claims. Additionally, CHROMA™ promotes agile social collaboration and flexible compensation structures, ensuring that all aspects of employee engagement are effectively addressed. In this way, organizations are better equipped to thrive in an ever-evolving workforce landscape.

With the rapid pace of urbanization, it has become increasingly challenging for planners and city administrators to create intelligent, secure, and sustainable environments for their residents and workers. The pressing task they face involves developing more adaptable and contemporary urban living and working conditions despite the constraints of limited resources. To tackle this challenge, city officials must utilize data from various Smart City 1.0 platforms to enhance services that encourage sustainable lifestyles and foster economic growth. The TCS Intelligent Urban Exchange™ (IUX) IoT Analytics for Smart Cities and Businesses is designed to facilitate the cost-effective rollout of smart IoT projects, offering a modular and insight-driven platform that delivers innovative software solutions to address the complexities of modern urban areas. This cloud-based platform synthesizes data from a wide array of domains, systems, and IoT devices, employing advanced analytics to enable real-time decision-making. By integrating these capabilities, city leaders can better respond to the dynamic needs of their communities and improve overall quality of life.

The TCS ADD platform significantly enhances the speed at which pharmaceutical companies can bring products to market by streamlining the entire clinical research and development process, ultimately leading to more agile and secure clinical trials. By fostering digital ecosystems and simplifying the intricacies of data management, TCS ADD facilitates quicker access to innovative and effective medications for patients. This platform utilizes the TCS Decision FabricTM, an advanced cognitive artificial intelligence engine, alongside smart analytics and the Internet of Things, delivering exceptional business advantages to the pharmaceutical sector. It serves as a comprehensive, metadata-driven solution designed to uphold industry standards and sponsor requirements in clinical trials. Furthermore, this data science-oriented platform employs artificial intelligence and machine learning technologies to expedite decision-making, accelerate study initiation, and implement targeted interventions. By digitizing the entire supply chain management of clinical trials while prioritizing patient safety, this solution not only improves overall effectiveness but also enhances the patient experience throughout the trial process. Ultimately, TCS ADD represents a transformative approach to clinical trial management that aligns with the evolving needs of healthcare.

Marketers today are under immense pressure to deliver tangible results in an ever-evolving landscape filled with high expectations; CMOs seek significant victories while sales teams require enhanced support and quality leads, all while customers demand personalized experiences. As organizational dynamics change and budgets become increasingly constrained, we equip sales teams with valuable insights concerning target stakeholders, unique messaging that stands out from competitors, and engaging content that resonates with customers. Our support enables sales to successfully win, retain, and grow accounts. Additionally, we empower marketers to execute account-based marketing (ABM) programs at scale, featuring innovative campaigns that can be customized for one-on-one, small group, or broader audiences, coupled with optimization strategies that yield successful outcomes. We assist marketing teams in building, scaling, and refining their ABM initiatives effectively. Every two weeks, we share our latest findings and research crafted by our ABM experts, ensuring that our clients benefit from cutting-edge knowledge. Ultimately, we create impactful, comprehensive account-based marketing programs that deliver measurable results, driving success for our clients.

SOLIXCloud CDP provides a cloud-based data management solution tailored for contemporary data-centric businesses. Utilizing open-source and cloud-native technologies, it enables organizations to effectively handle and analyze their structured, semi-structured, and unstructured data, facilitating advanced analytics, regulatory compliance, infrastructure efficiency, and robust data security. Key components of this platform include Solix Connect for efficient data ingestion, Solix Data Governance, Solix Metadata Management, and Solix Search, collectively forming a holistic framework for managing cloud data. This framework supports the development and operation of data-driven applications, including SQL data warehouses, machine learning models, and artificial intelligence systems, while addressing the increasing complexities associated with data management regulations, data retention policies, and consumer privacy concerns. In this way, SOLIXCloud CDP empowers companies to navigate the evolving landscape of data management with confidence.

The volume of data continues to increase, yet not all data carries the same significance. Companies that embrace cloud data management can effectively lower their enterprise data management expenses while ensuring security, compliance, high performance, and straightforward accessibility. As time passes, the value of content diminishes; however, organizations can still generate revenue from older data using innovative SaaS-based solutions. SOLIXCloud provides all the necessary features to achieve an ideal equilibrium between managing both historical and current data. In addition to its robust compliance functionalities for structured, unstructured, and semi-structured data, SOLIXCloud presents a comprehensive managed service for all types of enterprise data. Furthermore, Solix's metadata management framework serves as a complete solution for analyzing all enterprise metadata and lineage from a single, centralized repository, supported by a comprehensive business glossary that enhances organizational efficiency. This holistic approach allows businesses to derive insights from their data, regardless of its age.

App Orchid is transforming how businesses tackle digital transformation by empowering users with AI capabilities directly. This innovative platform is making AI accessible to all, eliminating the need for lengthy and costly IT projects. With App Orchid, enterprises can implement AI applications seamlessly, without the requirement of coding, system replacements, or extensive training programs. The platform takes care of preparing enterprise data to be "AI Ready" by managing the complete knowledge harvesting lifecycle, which means you avoid the hassle of deploying and integrating multiple tools. A standout feature is its ability to incorporate the "tribal knowledge" of your employees, ensuring that you receive the most valuable insights and recommendations tailored to your business needs. In contrast to traditional AI platforms or analytical solutions, the App Orchid platform simplifies the process by executing the full Knowledge Harvesting Lifecycle, thus making your data ready for AI without the need to clean historical data or connect various tools. This approach not only enhances efficiency but also maximizes the potential of your existing resources.

Witboost is an adaptable, high-speed, and effective data management solution designed to help businesses fully embrace a data-driven approach while cutting down on time-to-market, IT spending, and operational costs. The system consists of various modules, each serving as a functional building block that can operate independently to tackle specific challenges or be integrated to form a comprehensive data management framework tailored to your organization’s requirements. These individual modules enhance particular data engineering processes, allowing for a seamless combination that ensures swift implementation and significantly minimizes time-to-market and time-to-value, thereby lowering the overall cost of ownership of your data infrastructure. As urban environments evolve, smart cities increasingly rely on digital twins to forecast needs and mitigate potential issues, leveraging data from countless sources and managing increasingly intricate telematics systems. This approach not only facilitates better decision-making but also ensures that cities can adapt efficiently to ever-changing demands.

Enhance the precision and effectiveness of your business applications through the integration of real-time global postal address validation and geocoding solutions. Expanding your customer base internationally requires significant effort, and delivering an exceptional experience is key to ensuring customer satisfaction. From online forms and customer support to prompt deliveries, it’s essential to meet the expectations of clients regardless of their location. Nevertheless, navigating the complexities of global address standards and geocoding information can be quite daunting. This solution accommodates the necessary formats, character sets, regulations, and postal standards across more than 240 countries and territories. Additionally, it offers Unicode support to cater to a wide array of languages, enhancing accessibility. The system is designed to intelligently recognize and convert data into standardized address formats. By implementing this technology, you can significantly reduce costly billing and shipping inaccuracies, avoid wasted mailings, and prevent misdirected customer communications. While data entry mistakes may still occur, striving to minimize them is essential for operational efficiency. Overall, this integration not only streamlines processes but also elevates customer satisfaction.

Harness the capabilities of both private and public clouds through a unique hybrid data platform tailored for contemporary data architectures, enabling data access from any location. Cloudera stands out as a hybrid data platform that offers unparalleled flexibility, allowing users to choose any cloud, any analytics solution, and any type of data. It streamlines data management and analytics, ensuring optimal performance, scalability, and security for data accessibility from anywhere. By leveraging Cloudera, organizations can benefit from the strengths of both private and public clouds, leading to quicker value realization and enhanced control over IT resources. Moreover, Cloudera empowers users to securely transfer data, applications, and individuals in both directions between their data center and various cloud environments, irrespective of the data's physical location. This bi-directional capability not only enhances operational efficiency but also fosters a more adaptable and responsive data strategy.

Monitor user interactions through advanced analytics and categorize users according to their activities. Develop engagement tactics using cutting-edge AI technology. Certain mobile manufacturers impose OS/Device level limitations, which can impede the delivery of push notifications. Our solution enables you to circumvent these barriers, allowing you to connect with an additional 20% of users effectively. We guarantee improved inbox delivery rates by collaborating with email consultants and industry specialists to provide you with optimal strategies. Refrain from sending mass messages that may land in spam folders or damage your brand's integrity. Easily tailor your communications by language for a more personalized approach. Our platform is designed with multilingual capabilities, enabling you to communicate with customers in their native language. Identify users based on acquisition sources, uninstall trends, and more. Customize user segments to fit your specific needs. Foster conversations, lower churn rates, and leverage impactful insights to enhance your overall strategy. With these tools, your potential for user engagement can significantly increase, driving better results for your business.

Efficiently assign, monitor, and execute tasks while gaining valuable insights into productivity. Automate over 100 tasks to enhance human interactions through bots, group chats, and additional tools. Provide actionable insights that empower Line Managers, HR Professionals, and CXOs to maximize their effectiveness. Establish an organizational structure by defining roles and permissions while managing access rights. Oversee the entire employee life cycle, from onboarding to exit, including the publication of necessary documentation. Ensure smooth payroll processing, manage loans and reimbursements, and comply with regulatory requirements. Utilize real-time attendance tracking to manage attendance, holiday calendars, shifts, and integration seamlessly. Achieve organizational objectives and elevate performance through comprehensive 360-degree feedback mechanisms. Enhance employee morale and foster engagement with specialized tools designed for this purpose. Additionally, use engagement tools to create a supportive work environment that drives both productivity and satisfaction.

Our platform is tailored for both analysts and high-level executives, equipping teams to swiftly generate insights and confidently make critical decisions across various business functions, such as payment processes and liquidity management. It seamlessly integrates and consolidates data from various online APIs and sources. Users can validate, cleanse, and reconcile datasets to prepare them for in-depth analysis. The system allows for the monitoring and exploration of intricate networks through interactive dashboards. Furthermore, it enables the simulation of settlement and payment systems, turning raw data into actionable insights. FNA’s platform boasts an advanced suite of automated data visualization algorithms that offer real-time mapping and network functionalities, allowing users to derive substantial meaning from their datasets rapidly. Additionally, with the capability to simulate any global payment or settlement system, organizations leveraging the FNA platform can effectively adapt to significant shifts, such as emerging regulatory demands and the introduction of new market players like CBDCs. This flexibility ensures that businesses remain agile and well-informed in a rapidly evolving landscape.

Doolytic is at the forefront of big data discovery, integrating data exploration, advanced analytics, and the vast potential of big data. The company is empowering skilled BI users to participate in a transformative movement toward self-service big data exploration, uncovering the inherent data scientist within everyone. As an enterprise software solution, doolytic offers native discovery capabilities specifically designed for big data environments. Built on cutting-edge, scalable, open-source technologies, doolytic ensures lightning-fast performance, managing billions of records and petabytes of information seamlessly. It handles structured, unstructured, and real-time data from diverse sources, providing sophisticated query capabilities tailored for expert users while integrating with R for advanced analytics and predictive modeling. Users can effortlessly search, analyze, and visualize data from any format and source in real-time, thanks to the flexible architecture of Elastic. By harnessing the capabilities of Hadoop data lakes, doolytic eliminates latency and concurrency challenges, addressing common BI issues and facilitating big data discovery without cumbersome or inefficient alternatives. With doolytic, organizations can truly unlock the full potential of their data assets.

Wallaroo streamlines the final phase of your machine learning process, ensuring that ML is integrated into your production systems efficiently and rapidly to enhance financial performance. Built specifically for simplicity in deploying and managing machine learning applications, Wallaroo stands out from alternatives like Apache Spark and bulky containers. Users can achieve machine learning operations at costs reduced by up to 80% and can effortlessly scale to accommodate larger datasets, additional models, and more intricate algorithms. The platform is crafted to allow data scientists to swiftly implement their machine learning models with live data, whether in testing, staging, or production environments. Wallaroo is compatible with a wide array of machine learning training frameworks, providing flexibility in development. By utilizing Wallaroo, you can concentrate on refining and evolving your models while the platform efficiently handles deployment and inference, ensuring rapid performance and scalability. This way, your team can innovate without the burden of complex infrastructure management.

R Systems strives to empower businesses to recognize and address obstacles in the customer journey, ultimately enhancing loyalty and long-term profitability by leveraging cutting-edge technologies such as AI, data analytics, Natural Language Processing (NLP), and Deep Neural Networks (DNN). By grasping the core of customer experience, organizations can elevate how their audience engages with their brand, fostering greater loyalty and retention. To achieve this, companies must utilize precise data and metrics to identify, collect, and scrutinize customer information, enabling them to derive actionable insights and make informed decisions aimed at retaining and attracting customers. Our comprehensive data analytics framework is designed to enhance First Contact Resolution (FCR), minimize customer effort, streamline self-service alternatives, and efficiently manage seasonal demand fluctuations. With R Systems as your partner, each interaction will progressively enhance your overall customer experience. In addition, our services facilitate the collection of data from customer engagements, allowing for deeper insights into their behaviors and preferences, which can guide future strategies for improvement.

Introducing an intuitive application designed for managers to oversee the deadline tasks of their entire team from a single interface! The Task Manager App offers Salesforce users and their supervisors an efficient way to handle tasks, providing a consolidated view where they can prioritize and monitor all outstanding assignments of any selected user. Users who possess Salesforce licenses can easily choose from a drop-down menu to view their own tasks (which is the default setting), all tasks, or those of another individual. This functionality ensures that all tasks with missed due dates or unfilled deadline fields are prominently displayed. Task Manager guarantees that tracking your responsibilities will never be overlooked! You can effortlessly search through any of the visible columns without needing to refresh the page, ensuring that tasks remain in focus. Say goodbye to the worries of procrastination or overlooking deadlines. This is the essential app for anyone looking to maximize their Salesforce experience by ensuring every task is accounted for and enhancing overall task management efficiency. With Task Manager, you'll stay organized and proactive in your work!

We provide an accessible platform designed to empower businesses across diverse sectors to undergo digital transformation and achieve enhanced insights that foster a lasting competitive edge. Our software suite features Contxt, a robust, real-time industrial platform functioning as the core data engine, along with Nsight, our application for data integration and intelligent analytics. Throughout this journey, we ensure comprehensive support and services. At the heart of our offering lies Contxt, our adaptable data management engine focused on industrial optimization. This platform is built upon our cutting-edge ETLT technology, which facilitates data availability in under 15 seconds for any transaction across various disconnected data sources. Contxt enables developers to construct a real-time digital twin, providing live data across all applications and analyses within the organization, thereby driving significant business outcomes. Ultimately, our commitment is to equip businesses with the tools they need to thrive in an increasingly competitive landscape.

Velotix empowers organizations to unlock the true value of their data while maintaining the highest standards of security and compliance in today’s complex regulatory landscape. The Velotix Data Security Platform offers a comprehensive suite of features, including AI-driven data discovery, automated policy enforcement, and granular, dynamic access controls that adapt to the evolving needs of businesses. Designed to seamlessly integrate with multi-cloud and hybrid environments, Velotix simplifies data management, enabling secure, self-service access to data without compromising governance or risking compliance violations. With Velotix, organizations can optimize the use of their data while ensuring that security policies are enforced consistently and efficiently across all platforms. The platform’s advanced workflows and automation capabilities help reduce manual overhead, streamline data processes, and minimize the risk of human error. This results in faster, more informed decision-making while protecting sensitive data assets.

Specifically designed to deploy AI seamlessly across all types of data, our solution maximizes the potential of your unstructured information, enabling you to access, prepare, train, optimize, and implement AI without constraints. We have integrated our top-tier file and object storage options, such as PowerScale, ECS, and ObjectScale, with our PowerEdge servers and a contemporary, open data lakehouse framework. This combination empowers you to harness AI for your unstructured data, whether on-site, at the edge, or in any cloud environment, ensuring unparalleled performance and limitless scalability. Additionally, you can leverage a dedicated team of skilled data scientists and industry professionals who can assist in deploying AI applications that yield significant benefits for your organization. Moreover, safeguard your systems against cyber threats with robust software and hardware security measures alongside immediate threat detection capabilities. Utilize a unified data access point to train and refine your AI models, achieving the highest efficiency wherever your data resides, whether that be on-premises, at the edge, or in the cloud. This comprehensive approach not only enhances your AI capabilities but also fortifies your organization's resilience against evolving security challenges.

Mindtree's Decision Moments stands out as the pioneering data analytics platform that harnesses continuous learning algorithms to analyze extensive datasets. This groundbreaking sense-and-respond mechanism enables organizations to reveal valuable insights that evolve over time, thereby enhancing the value derived from their digital transformation efforts. As an agile and adaptable data intelligence platform, Decision Moments effectively alleviates technological complexities by seamlessly aligning with your organization’s pre-existing data analytics investments. Furthermore, it possesses the necessary flexibility to adjust in accordance with fluctuations in market conditions, technological advancements, or varying business requirements. To maximize the benefits and cost efficiencies associated with a data analytics platform, Decision Moments leverages Microsoft Azure services, including the Cortana Intelligence Suite, within a cloud-native framework. Ultimately, Mindtree’s Decision Moments equips your key decision-makers with the essential tools to interpret vast amounts of data sourced from diverse origins, ensuring they can make informed choices in a rapidly evolving landscape. This robust platform not only aids in immediate decision-making but also fosters a culture of continuous improvement within organizations.

Unravel empowers data functionality across various environments, whether it’s Azure, AWS, GCP, or your own data center, by enhancing performance, automating issue resolution, and managing expenses effectively. It enables users to oversee, control, and optimize their data pipelines both in the cloud and on-site, facilitating a more consistent performance in the applications that drive business success. With Unravel, you gain a holistic perspective of your complete data ecosystem. The platform aggregates performance metrics from all systems, applications, and platforms across any cloud, employing agentless solutions and machine learning to thoroughly model your data flows from start to finish. This allows for an in-depth exploration, correlation, and analysis of every component within your contemporary data and cloud infrastructure. Unravel's intelligent data model uncovers interdependencies, identifies challenges, and highlights potential improvements, providing insight into how applications and resources are utilized, as well as distinguishing between effective and ineffective elements. Instead of merely tracking performance, you can swiftly identify problems and implement solutions. Utilize AI-enhanced suggestions to automate enhancements, reduce expenses, and strategically prepare for future needs. Ultimately, Unravel not only optimizes your data management strategies but also supports a proactive approach to data-driven decision-making.

Cazena's Instant Data Lake significantly reduces the time needed for analytics and AI/ML from several months to just a few minutes. Utilizing its unique automated data platform, Cazena introduces a pioneering SaaS model for data lakes, requiring no operational input from users. Businesses today seek a data lake that can seamlessly accommodate all their data and essential tools for analytics, machine learning, and artificial intelligence. For a data lake to be truly effective, it must ensure secure data ingestion, provide adaptable data storage, manage access and identities, facilitate integration with various tools, and optimize performance among other features. Building cloud data lakes independently can be quite complex and typically necessitates costly specialized teams. Cazena's Instant Cloud Data Lakes are not only designed to be readily operational for data loading and analytics but also come with a fully automated setup. Supported by Cazena’s SaaS Platform, they offer ongoing operational support and self-service access through the user-friendly Cazena SaaS Console. With Cazena's Instant Data Lakes, users have a completely turnkey solution that is primed for secure data ingestion, efficient storage, and comprehensive analytics capabilities, making it an invaluable resource for enterprises looking to harness their data effectively and swiftly.

The HPE Consumption Analytics Portal serves as the metering and analytics feature within HPE GreenLake, an on-demand IT solution from HPE Pointnext Services that combines the flexibility and cost-effectiveness of public cloud services with the security of your own data center. This platform provides detailed insights into your usage patterns and expenses through engaging dashboards and an intuitive drag-and-drop reporting interface. You can effectively manage IT expenditures with adaptable budgeting options and a recommendation system that operates based on usage metrics for consumption-driven services. Additionally, by predicting demand, you can avert potential shortages that could lead to outages, empowering you with the ability to strategically plan your resource capacity. Integrated within HPE GreenLake, the HPE Consumption Analytics Portal enhances transparency, allowing for clearer understanding of how your usage and commitments impact your monthly expenses. Ultimately, this tool grants you greater control over decision-making concerning capacity planning to ensure optimal performance of your workloads.

The fundamental technology that powers contemporary solutions for data integration and management is designed to swiftly link various structured and unstructured data sources. It allows for the comprehensive cataloging of your entire data environment, ensuring that data remains within its original sources and is retrieved as needed, eliminating the requirement for duplicate copies. Users can construct data models tailored to their needs, even when drawing from multiple data sources, while also concealing the intricacies of back-end systems from end users. The virtual model can be securely accessed and utilized through standard SQL alongside other formats such as REST, SOAP, and OData, promoting easy access to diverse data types. It features complete data integration and modeling capabilities, along with an Active Data Catalog that enables self-service for data and metadata exploration and preparation. Furthermore, it incorporates robust data security and governance measures, ensures rapid and intelligent execution of data queries, and provides real-time data delivery in various formats. The system also supports the establishment of data marketplaces and effectively decouples business applications from data systems, paving the way for more informed, data-driven decision-making strategies. This innovative approach enhances the overall agility and responsiveness of organizations in managing their data assets.

StackState's Topology & Relationship-Based Observability platform allows you to manage your dynamic IT environment more effectively. It unifies performance data from existing monitoring tools and creates a single topology. This platform allows you to: 1. 80% Reduced MTTR by identifying the root cause of the problem and alerting the appropriate teams with the correct information. 2. 65% Less Outages: Through real-time unified observation and more planned planning. 3. 3.3.2. 3x faster releases: Developers are given more time to implement the software. Get started today with our free guided demo: https://www.stackstate.com/schedule-a-demo

Talend Data Catalog provides your organization with a single point of control for all your data. Data Catalog provides robust tools for search, discovery, and connectors that allow you to extract metadata from almost any data source. It makes it easy to manage your data pipelines, protect your data, and accelerate your ETL process. Data Catalog automatically crawls, profiles and links all your metadata. Data Catalog automatically documents up to 80% of the data associated with it. Smart relationships and machine learning keep the data current and up-to-date, ensuring that the user has the most recent data. Data governance can be made a team sport by providing a single point of control that allows you to collaborate to improve data accessibility and accuracy. With intelligent data lineage tracking and compliance tracking, you can support data privacy and regulatory compliance.