Jump over the Data Preparation Hurdle with Spark

@machinelearnbot 

In using them to do manual data preparation, you're missing a huge opportunity to extract the most value from your intellectual assets. By automating and accelerating much of this raw data crunching and ETL work, you enable non-data scientists to do data preparation rapidly and simply--and ask their own questions and find their own answers. What's more, in this new Big Data Discovery environment, answers come in minutes, not months. Data scientists are able to focus on Spark-driven advanced analytics that yield game-changing answers. In this next DSC webinar, you will learn: How to automate your data integration process to set up your organization to be truly data-driven How to manage your data as a self-service feature at the speed of thought How to effectively unearth big insights that effectively impact the bottom line in the most efficient cycles.

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