{"id":1175,"date":"2015-11-19T11:51:38","date_gmt":"2015-11-19T16:51:38","guid":{"rendered":"https:\/\/solutionsreview.com\/data-integration\/?p=1175"},"modified":"2018-03-22T12:08:10","modified_gmt":"2018-03-22T16:08:10","slug":"getting-started-with-apache-spark-the-definitive-guide-2","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/data-integration\/getting-started-with-apache-spark-the-definitive-guide-2\/","title":{"rendered":"Getting Started with Apache Spark: the Definitive Guide"},"content":{"rendered":"

\"Getting<\/p>\n

If you work in Data Science or IT, you’re probably already familiar with Apache Spark. In practice, Spark<\/a> has grown exponentially in 2015, and in some use cases it has matched or even surpassed Hadoop<\/a> as the open source Big Data framework of choice. Vendors are beginning to hop on board as well, as Talend<\/a>, Altiscale<\/a> and Pentaho<\/a> have all enhanced their integration platforms with Spark<\/a> in recent months.<\/p>\n

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With all of the highly technical chatter out there, it can be hard to understand what Spark can help your organization do. Thankfully there’s LinkedIn’s Slideshare<\/a>, a resource where users and companies can host webinars and presentations for public access. We combed through thousands of presentations on the site using the Spark keyword to find a series of eight created by Databricks<\/a>, a company who revolutionizes data processing through the Spark platform.<\/p>\n

The slideshows, which were all presented by Databricks at Spark Summit EU 2015 in late October, outline various topics on Spark, as you’ll see below:<\/p>\n

The evolution of Spark: where is it being used, for what purpose, and by whom?<\/strong><\/p>\n