Attunity for Data Lakes on Azure Debuts
February 13, 2019
for Data Lakes on Microsoft Azure is 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 (ML) and artificial intelligence
•Improve operational efficiency and increase ROI – 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. This means that data engineers can expect to quickly create reusable, automated data pipelines that streamline the delivery of analytics-ready data sets to end users, lessening the need for manual coding or expensive development resources.
•Automate the design, data loading, transformation and updates of cloud data warehouses – 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.
•Provide transactional data for analytics efficiently and in near real-time – Continuously streaming data and metadata updates powered by Attunity’s CDC technology means that data sets are accurate and current.
•Provision trusted data sets to promote confidence – Data lake users discover managed data sets through a catalog which includes metadata such as data lineage. As a result, users can be confident in the origin and preparation of their analytics-ready data sets.
•Establish best practices for real-time data pipeline delivery – 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.
•Readily adapt to
changing technologies – The Attunity for Data Lakes 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.