Azure Data Lake Storage Integrations

Composable is an enterprise-grade DataOps platform designed for business users who want to build data-driven products and create data intelligence solutions. It can be used to design data-driven products that leverage disparate data sources, live streams, and event data, regardless of their format or structure. Composable offers a user-friendly, intuitive dataflow visual editor, built-in services that facilitate data engineering, as well as a composable architecture which allows abstraction and integration of any analytical or software approach. It is the best integrated development environment for discovering, managing, transforming, and analysing enterprise data.

Microsoft Entra ID, formerly known as Azure Active Directory, is a comprehensive cloud-based identity and access management solution that combines core directory service, application access management and advanced identity protection. Cloud identity and access management solutions connect employees, customers and partners with their apps, devices and data. Protect data and resources with adaptive access policies and strong authentication without compromising the user experience. Provide a quick, easy sign-in across your multicloud environment in order to keep your users productive and reduce time spent managing passwords. Manage all your identities, and access to your applications, in one central location, whether in the cloud, or on-premises. This will improve visibility and control.

Microsoft Azure serves as a versatile cloud computing platform that facilitates swift and secure development, testing, and management of applications. With Azure, you can innovate purposefully, transforming your concepts into actionable solutions through access to over 100 services that enable you to build, deploy, and manage applications in various environments—be it in the cloud, on-premises, or at the edge—utilizing your preferred tools and frameworks. The continuous advancements from Microsoft empower your current development needs while also aligning with your future product aspirations. Committed to open-source principles and accommodating all programming languages and frameworks, Azure allows you the freedom to build in your desired manner and deploy wherever it suits you best. Whether you're operating on-premises, in the cloud, or at the edge, Azure is ready to adapt to your current setup. Additionally, it offers services tailored for hybrid cloud environments, enabling seamless integration and management. Security is a foundational aspect, reinforced by a team of experts and proactive compliance measures that are trusted by enterprises, governments, and startups alike. Ultimately, Azure represents a reliable cloud solution, backed by impressive performance metrics that validate its trustworthiness. This platform not only meets your needs today but also equips you for the evolving challenges of tomorrow.

Azure Synapse represents the next generation of Azure SQL Data Warehouse. This expansive analytics platform seamlessly combines enterprise data warehousing with Big Data analytics. Users have the flexibility to query data according to their preferences, leveraging either serverless or provisioned resources on a large scale. By integrating these two domains, Azure Synapse offers a cohesive experience for ingesting, preparing, managing, and delivering data, catering to immediate business intelligence and machine learning requirements. This innovative service not only enhances data accessibility but also streamlines the analytics process for organizations.

IBM® StreamSets allows users to create and maintain smart streaming data pipelines using an intuitive graphical user interface. This facilitates seamless data integration in hybrid and multicloud environments. IBM StreamSets is used by leading global companies to support millions data pipelines, for modern analytics and intelligent applications. Reduce data staleness, and enable real-time information at scale. Handle millions of records across thousands of pipelines in seconds. Drag-and-drop processors that automatically detect and adapt to data drift will protect your data pipelines against unexpected changes and shifts. Create streaming pipelines for ingesting structured, semistructured, or unstructured data to deliver it to multiple destinations.

Progress DataDirect is passionate about empowering applications with enterprise data. We offer cloud and on-premises connectivity solutions for relational, NoSQL and Big Data data sources. We design solutions for thousands of companies and top vendors in analytics, data management, and BI. Our high-value connectors are designed to reduce development costs for a variety data sources. For greater security and peace of mind, you can get 24/7 support from experts around the world. For faster SQL access, connect with easy-to-use and time-saving drivers. Our mission is to keep up with the changing trends in data connectivity. If we don't have the connector you need, we will help you design it. Integrate connectivity into an application or service.

Effortlessly share data from various sources with other organizations, regardless of format or size. You can easily manage what information is shared, who gets access, and the conditions under which it can be used. Data Share offers complete transparency regarding your data-sharing connections through a user-friendly interface. With just a few clicks, you can distribute data or create your own custom application using the REST API. This serverless, code-free data-sharing solution eliminates the need for any infrastructure setup or ongoing management. Its intuitive design allows you to oversee all your data-sharing interactions efficiently. The automated processes enhance productivity and ensure consistent outcomes. Additionally, the service is fortified with Azure's security protocols to safeguard your data sharing. You can conveniently share structured and unstructured data from various Azure data repositories with others in no time. There is no requirement for setting up infrastructure or managing SAS keys, making the sharing process entirely code-free. You maintain control over data access while establishing terms of use that align with your organizational policies, ensuring compliance and security throughout the sharing process. This streamlined approach empowers your organization to collaborate effectively while safeguarding sensitive information.

Integrate your data sources including relational and NoSQL database, SaaS and APIs. You can query them immediately as a single source of data. Process data wherever you are. Data from different sources can be merged, retrieved, and cached. Use webhooks for streaming data from Kafka or Segment into the Peaka Table. Real-time data access replaces nightly batch ingestion. Treat each data source as a relational database. Convert any API into a table and combine and join it with other data sources. Use familiar SQL to run queries on NoSQL databases. The same skills can be used to retrieve data from SQL and NoSQL database. You can query and filter your consolidated datasets to create new data sets. Use APIs to expose them and serve other apps or systems. Don't get bogged down with scripts and logs when setting up your data stack. Eliminate the burdens of managing and maintaining ETL pipelines.

Our effortless, no-code integrations are compatible with over 200 of the largest platforms globally. Whether it's human resources, payroll, or customer and vendor management, you have the ability to link everyone to everything without any manual effort. The design of our interface is so user-friendly that it feels as though you're performing the automation directly within QuickBooks. By integrating QuickBooks with your accounting systems, you can eradicate data entry tasks and significantly enhance your team's efficiency. Transform the accounting experience for your franchise business, keeping you at the forefront of competition while encouraging customer loyalty with a branded accounting automation application. Streamline even the most intricate systems of your organization into one simple workflow, automating all the tedious tasks that slow you down. This integration not only makes your accounting processes more efficient but also allows your accountants to focus on what truly matters, engaging in more impactful work that contributes to your organization's success. Embrace this opportunity to elevate your operational capabilities and watch your business thrive.

Azure Data Lake encompasses all necessary features that enable developers, data scientists, and analysts to effortlessly store various types of data, regardless of size or format, while facilitating diverse processing and analytical tasks across different platforms and programming languages. By eliminating the challenges associated with data ingestion and storage, it significantly accelerates the initiation of batch, streaming, and interactive analytics. Additionally, Azure Data Lake is designed to work harmoniously with existing IT infrastructures regarding identity, management, and security, thus simplifying data governance and overall management. It also provides seamless integration with operational databases and data warehouses, allowing users to enhance their current data applications. Drawing from extensive experience with enterprise clients and managing some of the largest data processing and analytics workloads for major Microsoft services such as Office 365, Xbox Live, Azure, Windows, Bing, and Skype, Azure Data Lake effectively addresses a multitude of productivity and scalability obstacles that hinder optimal data utilization. Consequently, organizations can leverage this powerful platform to unlock the full potential of their data assets and drive better decision-making processes.

Utilize widely recognized open-source frameworks like Apache Hadoop, Spark, Hive, and Kafka with Azure HDInsight, a flexible and robust service designed for open-source analytics at the enterprise level. Seamlessly handle large volumes of data while enjoying the extensive advantages provided by the diverse ecosystem of open-source projects, all supported by Azure's global infrastructure. Transitioning your big data operations and processing to the cloud can be done with ease. The setup of open-source projects and clusters is quick and straightforward, eliminating the need for physical hardware installation or infrastructure management. Big data clusters are cost-effective, featuring autoscaling capabilities and pricing structures that allow you to only pay for what you consume. Your data's safety is ensured through enterprise-grade security and top-notch compliance, boasting over 30 certifications. Furthermore, components optimized for popular open-source technologies like Hadoop and Spark ensure you remain current with the latest advancements. This service not only enhances productivity but also fosters innovation by providing a reliable platform for developers.

Extract valuable insights from your data and create artificial intelligence (AI) solutions using Azure Databricks, where you can establish your Apache Spark™ environment in just minutes, scale automatically, and collaborate on shared projects within an interactive workspace. Azure Databricks is compatible with various programming languages such as Python, Scala, R, Java, and SQL, and it also supports popular data science frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. With Azure Databricks, you have access to the latest Apache Spark versions, enabling smooth integration with open source libraries. You can quickly deploy clusters and develop in a fully managed Apache Spark environment that benefits from Azure's global scale and availability. The clusters are automatically configured and optimized to ensure high reliability and performance without the necessity of continuous monitoring. Utilize features like autoscaling and auto-termination to enhance your total cost of ownership (TCO), making it a smart choice for businesses looking to maximize efficiency. Additionally, the platform's collaborative features allow teams to work together in real time, fostering innovation and accelerating project timelines.

Data-driven organizations are constantly striving to become more data-driven. They build dashboards, analytics and data pipelines throughout the modern data stack. Unfortunately, data reliability issues are a major problem for most organizations, leading to poor decisions and a lack of trust in the data as an organisation, which directly impacts their bottom line. Resolving complex issues is a time-consuming and manual process that involves multiple teams, all of whom rely on tribal knowledge. They manually reverse-engineer complex data pipelines across various platforms to identify the root-cause and to understand the impact. Pantomath, a data pipeline traceability and observability platform, automates data operations. It continuously monitors datasets across the enterprise data ecosystem, providing context to complex data pipes by creating automated cross platform technical pipeline lineage.

As a leader in the business arena, it's crucial to have unwavering confidence in your data, ensuring it is thoroughly governed, compliant, and precise. This entails incorporating all data from every source and location without any restrictions. It's important to have a comprehensive grasp of your data resources. Conduct audits to assess risks, compliance, and quality to support your initiatives. Create a detailed inventory of data across all sources and types, fostering a collective understanding of your data resources. Execute a swift, cost-effective, and precise one-time audit of your data assets. Audits for PCI, PII, and PHI are designed to be both fast and thorough. This service approach eliminates the need for any software purchases. Evaluate and audit the quality and duplication of data within all your enterprise data assets, whether they are cloud-native or on-premises. Ensure compliance with global data privacy regulations on a large scale. Actively discover, classify, track, trace, and audit compliance with privacy standards. Additionally, oversee the propagation of PII, PCI, and PHI data while automating the processes for complying with Data Subject Access Requests (DSAR). This comprehensive strategy will effectively safeguard your data integrity and enhance overall business operations.

Salesforce Data Cloud is an online data platform that allows businesses to collect, harmonize, and analyze data in real time. This creates a 360-degree customer profile which can be used across Salesforce's various applications, such as Marketing Cloud, Sales Cloud, and Service Cloud. It allows businesses collect, harmonize and analyze data in real-time, creating a 360° customer profile that can then be used across Salesforce's different applications, including Marketing Cloud, Sales Cloud and Service Cloud. This platform allows for faster, more personal customer interactions through the integration of data from online and off-line channels, such as CRM data, transactional information, and third-party sources. Salesforce Data Cloud offers advanced AI and analytics capabilities that help organizations gain deeper insight into customer behavior, and predict future needs. Salesforce Data Cloud helps improve customer experiences, target marketing, and data-driven decision making across departments by centralizing and refining the data.

Azure Marketplace serves as an extensive digital storefront, granting users access to thousands of certified software applications, services, and solutions from both Microsoft and various third-party providers. This platform allows businesses to easily discover, acquire, and implement software directly within the Azure cloud framework. The marketplace features a diverse array of offerings, such as virtual machine images, AI and machine learning frameworks, developer tools, security measures, and specialized applications tailored for specific industries. By providing various pricing structures, including pay-as-you-go, free trials, and subscription plans, Azure Marketplace not only simplifies purchasing but also consolidates billing through a single Azure invoice. Furthermore, it ensures smooth integration with Azure services, which empowers organizations to bolster their cloud infrastructure, enhance operational efficiency, and fast-track their digital transformation journeys. Ultimately, Azure Marketplace plays a pivotal role in helping enterprises innovate and adapt in an ever-evolving technological landscape.