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As the move to the next generation of integration platforms grows momentum, the need to implement a proven and scalable technology is critical. Databricks and Apache Spark, delivered on the major Hadoop distributions, is one such area where the delivery of massively scalable technology with low risk implementation is really key.

At Talend we see a wide array of batch processes, moving to an operational and real time perspective, driven by the consumers of the data. In this vein, the uptake in adoption and the growing community of Apache Spark, the powerful open-source processing engine, has been hard to miss. In a relatively short time, it is now a part of every major Hadoop vendor’s offering, is the most active open source project in the Big Data space, and has been deployed in production across a number of verticals.

Traditional ETL and enterprise integration provides limitations, in both timeliness of extract, speed of load and importantly the supportability of the integration infrastructure itself. Spark delivers a new execution topology, allowing your Big Data platform to deliver much more than just ‘traditional’ Hadoop MapReduce tasks.

The power of integrating Spark and Talend Studio is that Talend users will get to immediately harness the power of Spark, all 80+ operations and sophisticated analytics, directly from the familiar and easy to use Talend Studio interface. With Talend and its unique approach to code generation, the code required to load data and execute a query in Spark is managed for you. The designers simply need to identify the data, Talend can then provide the tools to deliver the data at the right time, in the right format and into the desired Hadoop environment.

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