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Goal Based Data Production: The Spark of a Revolution - Sim Simeonov

303 views · Published 30 October 2017 · 33:26 · Indexed 4 November 2026

Channel: Databricks · 2017 · Science & Technology

"Since the invention of SQL and relational databases, data production has been about specifying how data is transformed through queries. While Apache Spark can certainly be used as a general distributed query engine, the power and granularity of Spark's APIs enables a revolutionary increase in data engineering productivity: goal-based data production. Goal-based data production concerns itself with specifying WHAT the desired result is, leaving the details of HOW the result is achieved to a smart data warehouse running on top of Spark. That not only substantially increases productivity, but also significantly expands the audience that can work directly with Spark: from developers and data scientists to technical business users. With specific data and architecture patterns spanning the range from ETL to machine learning data prep and with live demos, this session will demonstrate how Spark users can gain the benefits of goal-based data production.

Session hashtag: #EUent1"

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Goal Based Data Production: The Spark of a Revolution - Sim Simeonov

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