This week Attunity announced two new solutions for Microsoft Azure.
The data integration and data management firm announced Attunity for Data Lakes on Microsoft Azure and Attunity Compose for Microsoft Azure SQL Data Warehouse, both aiming to help organizations move data in real time without impacting core services. The latest announcement builds on a long-lasting relationship with Microsoft, one of Attunity’s main technology partners, according to Itamar Ankorion, chief marketing officer 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,” he said.
Enterprises trying to create analytics-ready data sets from heterogeneous sources during a migration often requires manual labour, and by the time it’s ready for business consumption, data might be outdated. Attunity for Azure Data Lakes uses Apache Spark as a high-performance engine to automate the generation of transformations and analytics-ready data sets in data lakes (a data lake is usually a single store of all enterprise data) running on Azure. This means data engineers can quickly create reusable, automated data pipelines that simplify the delivery of analytics-ready data sets to end users.
Attunity Compose for Data Warehouse (ADW) is a fully managed cloud data warehouse for enterprises of any size. On its website, Attunity says its a way for organizations to avoid large capital expenditures and provide performance at scale for advanced analytic queries.