Webinar: Introducing the Spark Connector for MongoDB
(15-09-2016)

The MongoDB Connector for Apache Spark lets you extend the real-time processing power of MongoDB to analyze your operational data using machine learning, graph, streaming, and SQL APIs available with Spark.
You can download the connector now, but for a full introduction and demo of the Spark Connector, attend our live tutorial.

Learn how to build new classes of sophisticated, real-time analytics by combining Apache Spark, the industry's leading data processing engine, with MongoDB, the industry’s fastest growing database.

We live in a world of “big data”. But it isn’t just the data itself that is valuable – it’s the insight it can generate. How quickly an organization can unlock and act on that insight has become a major source of competitive advantage.

Collecting data in operational systems and then relying on nightly batch extract, transform, load (ETL) processes to update the enterprise data warehouse (EDW) is no longer sufficient.

In this live session, we show you how MongoDB and Spark work together and provide examples using the new Spark Connector for MongoDB.

Date: Thursday 15th September 2016
Time: 15:00 BST | 16:00 CEST | 19:30 IST

Register