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SparkSQL is just the latest addition to the technology stack that provides access to big data. From an analytics perspective, an enterprise has a significant amount of data and needs to turn its data ...

However, while the addition of a SQL front-end was a significant step forward for the big data platform in terms of performance and workloads, it still lags behind such top relational query engines ...

Here’s an image for you. There is no such thing as a data lake. The multi-petabyte storage racks nearly overflowing with unstructured and semi-structured data that are being built by hyperscalers, ...

It’s time for the next version of SQL Server, Microsoft’s flagship database product. The company today announced the first public preview of SQL Server 2019 and while yet another update to a ...

Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

You probably did not hear it here first. Spark has been making waves in big data for a while now, and 2017 has not disappointed anyone who has bet on its meteoric rise. That was a pretty safe bet ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

A Spark application contains several components, all of which exist whether you’re running Spark on a single machine or across a cluster of hundreds or thousands of nodes. Each component has a ...