PRESENTATION - September 15, 2016

Webinar: Introducing the Spark Connector for MongoDB

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 organisation 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. During this webinar, we showed you how MongoDB and Spark work together and provided examples using the new Spark Connector for MongoDB.

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PRESENTATION - September 15, 2016

Webinar: Introducing the Spark Connector for MongoDB

View Presentation

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 organisation 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. During this webinar, we showed you how MongoDB and Spark work together and provided examples using the new Spark Connector for MongoDB.

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