Azure Data Factory Integrations

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.

Stonebranch’s Universal Automation Center (UAC) is a Hybrid IT automation platform, offering real-time management of tasks and processes within hybrid IT settings, encompassing both on-premises and cloud environments. As a versatile software platform, UAC streamlines and coordinates your IT and business operations, while ensuring the secure administration of file transfers and centralizing IT job scheduling and automation solutions. Powered by event-driven automation technology, UAC empowers you to achieve instantaneous automation throughout your entire hybrid IT landscape. Enjoy real-time hybrid IT automation for diverse environments, including cloud, mainframe, distributed, and hybrid setups. Experience the convenience of Managed File Transfers (MFT) automation, effortlessly managing and orchestrating file transfers between mainframes and systems, seamlessly connecting with AWS or Azure cloud services.

RunMyJobs by Redwood is the only SAP endorsed and premium-certified and the most awarded SAP-certified SaaS workload automation platform and only allowing enterprises to achieve end-to-end IT process automation and unify complex across any application, system or environment without limits and with high availability as you scale. We're the #1 job scheduling choice for SAP customers with seamless integration to S/4HANA, BTP, RISE, ECC and more while maintaining a clean core. Empower teams with seamless integration with any present and future tech stack, a low-code editor and a rich library of templates. Monitor processes in real-time with predictive SLA management and get proactive notifications via email or SMS on performance issues or delays in all your processes. Redwood team provides 24/7/365 day global support with the industry’s strongest SLAs and 15-minute response times and a proven approach to migration that secures continuous operations, including team training, on-demand learning and more.

Accelerate your data journey with AnalyticsCreator. Automate the design, development, and deployment of modern data architectures, including dimensional models, data marts, and data vaults or a combination of modeling techniques. Seamlessly integrate with leading platforms like Microsoft Fabric, Power BI, Snowflake, Tableau, and Azure Synapse and more. Experience streamlined development with automated documentation, lineage tracking, and schema evolution. Our intelligent metadata engine empowers rapid prototyping and deployment of analytics and data solutions. Reduce time-consuming manual tasks, allowing you to focus on data-driven insights and business outcomes. AnalyticsCreator supports agile methodologies and modern data engineering workflows, including CI/CD. Let AnalyticsCreator handle the complexities of data modeling and transformation, enabling you to unlock the full potential of your data

Suntek Reporting turns complex data into visual insights that anyone can understand. Reduce the time spent staring at spreadsheets. Let us help you decode complex data and allow you to focus on what's most important: growing your business! Our user-friendly interface scores high and tracks business performance. This allows users to see where their business stands in real time. We reduce data sets into simple KPI scores that provide actionable insights that can improve your bottom line. Suntek Reporting's predictive analysis allows users to make informed decisions that lead to: *Increased revenue *Better customer service *Improved employee efficiency *Greater market share. Suntek Reporting can eliminate the pain of complex reporting and give you the confidence that comes with improving performance and profitability.

Amazon Simple Storage Service (Amazon S3) is a versatile object storage solution that provides exceptional scalability, data availability, security, and performance. It accommodates clients from various sectors, enabling them to securely store and manage any volume of data for diverse applications, including data lakes, websites, mobile apps, backups, archiving, enterprise software, IoT devices, and big data analytics. With user-friendly management tools, Amazon S3 allows users to effectively organize their data and set tailored access permissions to satisfy their unique business, organizational, and compliance needs. Offering an impressive durability rate of 99.999999999% (11 nines), it supports millions of applications for businesses globally. Businesses can easily adjust their storage capacity to match changing demands without needing upfront investments or lengthy resource acquisition processes. Furthermore, the high durability ensures that data remains safe and accessible, contributing to operational resilience and peace of mind for organizations.

Microsoft SQL Server 2019 incorporates both intelligence and security, providing users with added features at no additional cost while ensuring top-tier performance and adaptability for on-premises requirements. You can seamlessly transition to the cloud, taking full advantage of its efficiency and agility without the need to alter your existing code. By leveraging Azure, you can accelerate insight generation and predictive analytics. Development is flexible, allowing you to utilize your preferred technologies, including open-source options, supported by Microsoft's advancements. The platform enables easy data integration into your applications and offers a comprehensive suite of cognitive services that facilitate the creation of human-like intelligence, regardless of data volume. The integration of AI is intrinsic to the data platform, allowing for quicker insight extraction from both on-premises and cloud-stored data. By combining your unique enterprise data with global data, you can foster an organization that is driven by intelligence. The dynamic data platform provides a consistent user experience across various environments, expediting the time it takes to bring innovations to market; this allows you to develop your applications and deploy them in any environment you choose, enhancing overall operational efficiency.

Amazon Redshift is the preferred choice among customers for cloud data warehousing, outpacing all competitors in popularity. It supports analytical tasks for a diverse range of organizations, from Fortune 500 companies to emerging startups, facilitating their evolution into large-scale enterprises, as evidenced by Lyft's growth. No other data warehouse simplifies the process of extracting insights from extensive datasets as effectively as Redshift. Users can perform queries on vast amounts of structured and semi-structured data across their operational databases, data lakes, and the data warehouse using standard SQL queries. Moreover, Redshift allows for the seamless saving of query results back to S3 data lakes in open formats like Apache Parquet, enabling further analysis through various analytics services, including Amazon EMR, Amazon Athena, and Amazon SageMaker. Recognized as the fastest cloud data warehouse globally, Redshift continues to enhance its performance year after year. For workloads that demand high performance, the new RA3 instances provide up to three times the performance compared to any other cloud data warehouse available today, ensuring businesses can operate at peak efficiency. This combination of speed and user-friendly features makes Redshift a compelling choice for organizations of all sizes.

Connecting every data source with analytics services on a single AI-powered platform will transform how people access, manage, and act on data and insights. All your data. All your teams. All your teams in one place. Create an open, lake-centric hub to help data engineers connect data from various sources and curate it. This will eliminate sprawl and create custom views for all. Accelerate analysis through the development of AI models without moving data. This reduces the time needed by data scientists to deliver value. Microsoft Teams, Microsoft Excel, and Microsoft Teams are all great tools to help your team innovate faster. Connect people and data responsibly with an open, scalable solution. This solution gives data stewards more control, thanks to its built-in security, compliance, and governance.

Concentrate on developing your applications and the associated business logic, while allowing Azure to manage complex distributed system challenges like reliability, scalability, management, and latency. Azure Service Fabric, an open source initiative, supports essential Azure infrastructure and various Microsoft offerings, including Skype for Business, Intune, Azure Event Hubs, Azure Data Factory, Azure Cosmos DB, Azure SQL Database, Dynamics 365, and Cortana. It is engineered to provide services that are both highly available and resilient at a cloud scale, as it inherently comprehends the infrastructure capabilities and resource requirements of your applications. This capability facilitates automatic scaling, seamless upgrades, and self-recovery from any faults that may arise. By utilizing Azure Service Fabric, developers can concentrate on creating features that enhance the business value of their applications, eliminating the need to write additional code to address issues related to reliability, scalability, management, or latency within the underlying systems. Ultimately, this allows for a more efficient development process and a stronger focus on innovation.

Ascend provides data teams with a streamlined and automated platform that allows them to ingest, transform, and orchestrate their entire data engineering and analytics workloads at an unprecedented speed, achieving results ten times faster than before. This tool empowers teams that are often hindered by bottlenecks to effectively build, manage, and enhance the ever-growing volume of data workloads they face. With the support of DataAware intelligence, Ascend operates continuously in the background to ensure data integrity and optimize data workloads, significantly cutting down maintenance time by as much as 90%. Users can effortlessly create, refine, and execute data transformations through Ascend’s versatile flex-code interface, which supports the use of multiple programming languages such as SQL, Python, Java, and Scala interchangeably. Additionally, users can quickly access critical metrics including data lineage, data profiles, job and user logs, and system health indicators all in one view. Ascend also offers native connections to a continually expanding array of common data sources through its Flex-Code data connectors, ensuring seamless integration. This comprehensive approach not only enhances efficiency but also fosters stronger collaboration among data teams.

Klera is a company specializing in software products and services that aims to provide innovative solutions for extracting intelligence from data. We empower organizations to operate transparently, collaboratively, and cohesively, eliminating the barriers of data silos. Our fast, no-code platform for developing intelligent applications streamlines the processes of data collection, analysis, and synchronization, making it easier for businesses to harness their data effectively. With Klera, enterprises can transform their data landscape, fostering a more integrated approach to decision-making and operational efficiency.

FairCom EDGE makes it easy to integrate sensor and machine data at their source - be that a factory, water treatment facility, oil platform, wind farm, or other industrial site. FairCom EDGE is the first converged IoT/Industrial IoT hub in the world. It unifies messaging and persistence with an all-in one solution. It also offers browser-based administration, configuration, and monitoring. FairCom EDGE supports MQTT, OPC UA and SQL for machine-tomachine (M2M), communication, and HTTP/REST for monitoring and real-time reporting. It constantly retrieves data from sensors and devices with OPC UA support and receives messages from machines with MQTT support. The data is automatically parsed and persisted, and made available via MQTT or SQL.

FairCom DB is ideal to handle large-scale, mission critical core-business applications that demand performance, reliability, and scalability that cannot easily be achieved with other databases. FairCom DB provides predictable high-velocity transactions with big data analytics and massively parallel big-data processing. It provides developers with NoSQL APIs that allow them to process binary data at machine speed. ANSI SQL allows for simple queries and analysis over the same binary data. Verizon is one of the companies that has taken advantage of FairCom DB's flexibility. Verizon recently selected FairCom DB to be its in-memory database for the Verizon Intelligent Network Control Platform Transaction Server Migrating. FairCom DB, an advanced database engine, gives you a Continuum of Control that allows you to achieve unparalleled performance at a low total cost of ownership (TCO). FairCom DB doesn't conform to you. FairCom DB conforms. FairCom DB doesn't force you to conform to the database's limitations.

Apache Spark™ serves as a comprehensive analytics platform designed for large-scale data processing. It delivers exceptional performance for both batch and streaming data by employing an advanced Directed Acyclic Graph (DAG) scheduler, a sophisticated query optimizer, and a robust execution engine. With over 80 high-level operators available, Spark simplifies the development of parallel applications. Additionally, it supports interactive use through various shells including Scala, Python, R, and SQL. Spark supports a rich ecosystem of libraries such as SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming, allowing for seamless integration within a single application. It is compatible with various environments, including Hadoop, Apache Mesos, Kubernetes, and standalone setups, as well as cloud deployments. Furthermore, Spark can connect to a multitude of data sources, enabling access to data stored in systems like HDFS, Alluxio, Apache Cassandra, Apache HBase, and Apache Hive, among many others. This versatility makes Spark an invaluable tool for organizations looking to harness the power of large-scale data analytics.

Keep a close eye on your data health and the performance of your pipelines. Achieve comprehensive oversight for pipelines utilizing cloud-native technologies such as Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. This observability platform is specifically designed for Data Engineers. As the challenges in data engineering continue to escalate due to increasing demands from business stakeholders, Databand offers a solution to help you keep pace. With the rise in the number of pipelines comes greater complexity. Data engineers are now handling more intricate infrastructures than they ever have before while also aiming for quicker release cycles. This environment makes it increasingly difficult to pinpoint the reasons behind process failures, delays, and the impact of modifications on data output quality. Consequently, data consumers often find themselves frustrated by inconsistent results, subpar model performance, and slow data delivery. A lack of clarity regarding the data being provided or the origins of failures fosters ongoing distrust. Furthermore, pipeline logs, errors, and data quality metrics are often gathered and stored in separate, isolated systems, complicating the troubleshooting process. To address these issues effectively, a unified observability approach is essential for enhancing trust and performance in data operations.

Azure Data Lake offers a comprehensive set of features designed to facilitate the storage of data in any form, size, and speed for developers, data scientists, and analysts alike, enabling a wide range of processing and analytics across various platforms and programming languages. By simplifying the ingestion and storage of data, it accelerates the process of launching batch, streaming, and interactive analytics. Additionally, Azure Data Lake is compatible with existing IT frameworks for identity, management, and security, which streamlines data management and governance. Its seamless integration with operational stores and data warehouses allows for the extension of current data applications without disruption. Leveraging insights gained from working with enterprise clients and managing some of the world's largest processing and analytics tasks for services such as Office 365, Xbox Live, Azure, Windows, Bing, and Skype, Azure Data Lake addresses many of the scalability and productivity hurdles that hinder your ability to fully utilize data. Ultimately, it empowers organizations to harness their data's potential more effectively and efficiently than ever before.

Improved full-lifecycle cloud native development capabilities empower customers to create future-ready applications. By harnessing the full power of the cloud today, businesses can develop applications designed for tomorrow's needs. Historically, cloud adoption strategies have concentrated on infrastructure and application migration, often neglecting the essential updates needed in the underlying code. Although the cloud has consistently provided advantages like elasticity and scalability, its complete potential can only be realized when the application code is modernized. Embracing cloud native technologies and contemporary architectures enables the development of modern applications that tap into the cloud's full capabilities, enhance agility, and expedite innovation. Create self-healing and auto-scaling applications that are free from server constraints. Serverless architectures not only optimize efficiency and cost but also delegate the majority of infrastructure and software management tasks to the platform, resulting in a more streamlined development process. This shift allows organizations to focus on innovation rather than infrastructure, paving the way for groundbreaking advancements.

Most tasks involving operations, support, and troubleshooting carried out by Microsoft staff and their sub-processors typically do not necessitate access to customer data. In those infrequent instances where such access becomes necessary, Customer Lockbox for Microsoft Azure offers a system through which customers can evaluate and either approve or deny requests for access to their data. This feature is particularly utilized when a Microsoft engineer requires access to customer data, either due to a support ticket initiated by the customer or a problem detected by Microsoft itself. Activity logs serve to document Customer Lockbox interactions, which can be accessed in the Azure portal by selecting Activity Logs, allowing for a review of auditing information linked to these requests. Users have the option to filter the logs to find specific actions. Furthermore, a new baseline control (3.13) has been introduced in the Azure Security Benchmark, addressing the relevance of Customer Lockbox. This enhancement enables customers to leverage the benchmark to assess the applicability of Customer Lockbox for their services effectively. By doing so, organizations can ensure they maintain a high standard of data security and compliance.

Evvox serves as a comprehensive platform tailored for the insurance sector. Our primary goal is to assist you in discovering fresh avenues for expansion and enhancing your overall business performance. We achieve this through a sophisticated blend of advanced analytics, AI and machine learning technologies, intelligent routing, customer segmentation, lifetime value assessment, cross-selling and upselling strategies, among other tools, all readily available for your organization. The standout feature of our data platform lies in its seamless capability to not only ingest new data but also to integrate it effortlessly into existing models, presenting it in a way that is most relevant to your needs. With a robust 25 years of experience in data ingestion, we have refined our processes to accelerate new data integration by five to ten times. We provide the essential data models alongside external data sources, while you contribute what you have, and collectively we establish a solid foundation for actionable insights. These insights are directly channeled to your sales team, empowering them to maximize the value they offer to customers and to secure new business opportunities. By leveraging our platform, you can transform data into a competitive edge that drives growth and fosters lasting customer relationships.

Introducing Sirius, the comprehensive chatbot platform that surpasses all other conversational tools. Tailored to enhance employee productivity and boost conversion rates through engaging customer interactions, Sirius ensures a seamless conversational experience. This platform empowers administrative teams with full control and can be effortlessly implemented across various channels in a matter of hours! Immerse yourself in the innovative features of Sirius and gain valuable insights into user behavior with its intuitive analytics dashboard. Instantly access your Power BI KPIs and reports through the bot’s chat interface, providing you with real-time data at your fingertips, no matter the location. SiriusBOT possesses advanced capabilities to comprehend user intent, allowing for complete backend management. Additionally, it identifies unanswered questions and continually learns from each interaction, making it increasingly intelligent for your users. With Sirius, you not only enhance customer engagement, but also foster a proactive approach to improving the chatbot’s effectiveness.

Organizations are increasingly focused on becoming more data-driven, implementing dashboards, analytics, and data pipelines throughout the contemporary data landscape. However, many organizations face significant challenges with data reliability, which can lead to misguided business decisions and a general mistrust in data that negatively affects their financial performance. Addressing intricate data challenges is often a labor-intensive process that requires collaboration among various teams, all of whom depend on informal knowledge to painstakingly reverse engineer complex data pipelines spanning multiple platforms in order to pinpoint root causes and assess their implications. Pantomath offers a solution as a data pipeline observability and traceability platform designed to streamline data operations. By continuously monitoring datasets and jobs within the enterprise data ecosystem, it provides essential context for complex data pipelines by generating automated cross-platform technical pipeline lineage. This automation not only enhances efficiency but also fosters greater confidence in data-driven decision-making across the organization.

DataHawk consolidates all your marketplace information into one platform, converting it into straightforward actionable insights that help you enhance profitability and revenue across various channels. With a comprehensive end-to-end solution, integrated artificial intelligence, and user-friendly dashboards, ecommerce analytics becomes significantly more robust and accessible. You can work with the most extensive marketplace data available, all in one convenient location. Access to enriched historical data allows for improved trend tracking, threat avoidance, and opportunity identification. The platform is customizable and adaptable to meet unique business challenges and emerging requirements seamlessly. You can also integrate your preferred data and analytics tools into the system. Supported by seasoned ecommerce and data specialists, DataHawk understands the specific hurdles you encounter because they have experienced similar challenges themselves. Utilizing machine learning and AI, DataHawk continuously monitors data, assists in decision-making processes, identifies and prioritizes necessary actions, and even automates those actions to streamline operations. This comprehensive approach ensures you are always ahead in the competitive ecommerce landscape.

The Azure Marketplace serves as an extensive digital storefront, granting users access to a vast array of certified, ready-to-use software applications, services, and solutions provided by both Microsoft and various third-party vendors. This platform allows businesses to easily explore, purchase, and implement software solutions directly within the Azure cloud ecosystem. It features a diverse selection of products, encompassing virtual machine images, AI and machine learning models, developer tools, security features, and applications tailored for specific industries. With various pricing structures, including pay-as-you-go, free trials, and subscriptions, Azure Marketplace makes the procurement process more straightforward and consolidates billing into a single Azure invoice. Furthermore, its seamless integration with Azure services empowers organizations to bolster their cloud infrastructure, streamline operational workflows, and accelerate their digital transformation goals effectively. As a result, businesses can leverage cutting-edge technology solutions to stay competitive in an ever-evolving market.