Aug 23, 2017
The adoption of Apache Spark to analyze data in real-time is increasing with its ability to handle sophisticated analytical requirements and a common framework for streaming and batch. However, most organizations are also looking for "true streaming" features like lower latency and the ability to process out-of-order data.
Structured Streaming, a new high-level API, introduced in Apache Spark 2.0 promises these and other enhancements to the Spark approach to streaming data processing.
Jul 21, 2017
Offloading enterprise mission-critical workloads from a legacy data warehouse to a logical data lake can be a daunting task. Scale, speed, cost and enterprise readiness are some of the top concerns of IT executives in their modernization initiative.
This webinar by Impetus CTO, Vineet Tyagi, can help you address these issues and provide a solution that can ensure the success of a migration process and transform the legacy EDW to the modern data warehouse.
Jun 17, 2016
Real-time streaming analytics and IoT seem to be the next big thing in the data and analytics industry. As enterprises adopt Apache Spark and Spark Streaming widely, IT teams are facing the challenge to provide the tools and the framework needed to make Apache Spark Streaming an easy-to-use, robust, scalable and multi-tenant service.