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Attunity launches streaming data pipeline solutions for data lakes and data warehouses on Azure


Attunity, a provider of data integration and big data management software solutions, has announced two new solutions: Attunity for Data Lakes on Microsoft Azure, designed to automate streaming data pipelines, and Attunity Compose for Microsoft Azure SQL Data Warehouse, designed to enable data warehouse automation for Azure SQL Data Warehouse.

Both offerings utilize change data capture (CDC) capabilities to stream changes efficiently and continuously from many enterprise databases, mainframes, and applications such as SAP, to accelerate near real-time analytics, machine learning, and AI initiatives. 

According to Attunity, enterprises are moving to cloud data lakes and data warehouses for agility and elasticity but continue to be challenged to efficiently create analytics-ready data sets from heterogeneous data sources. Attunity's offering is designed to automate the necessary steps in a multi-zone data lake and provide a full historical data store from which analytic-specific data sets are derived. 

Attunity helps enterprises to overcome integration challenges with solutions leveraging efficient data transfer and automated generation of data transformations to accelerate data pipelines—from the generation of source system data streams right through to the creation of analytics-ready data sets. 

According to Attunity, using Apache Spark as a high-performance engine, Attunity for Azure Data Lakes is designed to automate the generation of transformations and analytics-ready data sets in data lakes running on Azure, enabling data engineers can expect to create reusable, automated data pipelines that streamline the delivery of analytics-ready datasets to end users.  In addition, Attunity Compose for Data Warehouses enables users to automate the data warehouse design, data loading, transformation, and updates for Azure SQL Data Warehouses, dynamically adjusting data sources and models to accommodate changing business requirements. Data lake users can discover managed datasets through a catalog which includes metadata such as data lineage, and the solution's graphical interface and data pipeline management functionality readily adapts to changes in underlying data lake technology and new Microsoft Azure offerings with just a simple drag-and-drop. 

"With this new data pipeline automation offering, we continue to strengthen our offering for Microsoft Azure customers and our work with Microsoft, empowering enterprises to easily and quickly automate their data lakes and data warehouses for more timely analytics," said Itamar Ankorion, CMO at Attunity. "These new solutions will help our customers to maximize their investment, continually reap the benefits of having their data on Azure and allow for real-time analytics using data we make available in Azure Data Lake Storage, Azure SQL Data Warehouse, Azure Cloud SQL Database, Azure Event Hubs, and other analytics data services running on Azure."

For more information, go to www.attunity.com/partners/technology-partners/microsoft.


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