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 ...

In a recent paper, researchers introduced Flare, a back-end for Spark that improves the framework’s performance closer to that of the top SQL query engines for relational and machine learning ...

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 ...

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The open source project .NET for Apache Spark has debuted in version 1.0, finally vaulting the C# and F# programming languages into Big Data first-class citizenship. Spearheaded by Microsoft and the ...

Enterprise software development and open source big data analytics technologies have largely existed in separate worlds. This is especially true for developers in the Microsoft .NET ecosystem. The ...

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 ...