StreamSets, provider of the industry's first DataOps platform, announced
today support and platform integration for Microsoft's recently announced
SQL Server 2019 Big Data
Clusters. With this integration, SQL users are
empowered to design and operationalize data pipelines for big data workloads
without the complexities of coding for big data systems.
Announced at Ignite conference last November, Microsoft SQL Server
2019 Big Data Clusters allows users to deploy scalable clusters of SQL Server,
Apache Spark and HDFS containers running on Kubernetes. With StreamSets DataOps
Platform's new capabilities for Big Data Clusters, SQL developers can
accelerate their analytics use cases by:
- Design and operate
continuous data flows with intuitive, visual tools, eliminating the need to
know how to code for big data systems
- Develop complex analytics
applications on Apache Spark using intuitive drag-and-drop user interface
- Ingest and process data at
scale from a wide variety of data sources with native integration into SQL
Server and HDFS
- Accelerate the migration
from relational databases, Hadoop clusters and NoSQL stores into Big Data
Clusters
"By building native support for Microsoft SQL Server 2019 Big Data
Clusters, the StreamSets DataOps Platform is bridging big data and SQL Server
use cases," said Jobi George, general manager, StreamSets Cloud. "We are
excited to continue to bring innovative solutions to our joint Microsoft
customers and empower them to deliver data faster and with confidence through
our DataOps platform."
"StreamSets enables data professionals to leverage the advanced
capabilities of our new SQL Server 2019 Big Data Clusters," said Asad Khan,
director of Program Management, SQL Server at Microsoft. "With this support,
StreamSets continues to demonstrate its value in helping joint customers
quickly increase productivity with Big Data Clusters and accelerate critical business
objectives."