Attunity, a provider of data integration and big data management software solutions, has launched Attunity for Data Lakes on Amazon Web Services (AWS), a new solution to automate streaming data pipelines on AWS.
Designed to support streaming real-time data from major enterprise databases, mainframes, and applications such as SAP, the company says the solution accelerates near real-time analytics, machine learning, and artificial intelligence initiatives.
Using Apache Spark as a high-performance engine, the solution is designed to automate the generation of transformations and allow for analytics-ready datasets, lessening the need for manual coding or expensive development resources.
In addition, continuously streaming data and metadata updates powered by Attunity's change data capture technology helps ensure that datasets are accurate and current and also supports a range of data sources from on-premise and cloud databases, to data warehouses, SAP, and mainframe systems.
The software enables users to discover managed datasets through a catalog which includes metadata such as data lineage, suporting confidence in the origin and preparation of their analytics-ready datasets. The 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 datasets are derived.
In addition, the solution's graphical interface and data pipeline management functionality readily adapt to changes in underlying data lake technology and new AWS offerings with drag-and-drop efficiency.
More information is available about Attunity for Data Lakes on Amazon Web Services (AWS)