No need to spin up separate Apache Spark clusters, vendor claims Snowflake is launching a client connector to run Apache ...

Spark SQL, part of Apache Spark, is used for structured data processing by running SQL queries on Spark data. Srini Penchikala discusses Spark SQL module & how it simplifies data analytics using SQL.

Snowflake announces the public preview of Snowpark Connect for Spark. The new architecture enables Apache Spark code to run ...

Now in public preview, Snowpark Connect promises to reduce latency and complexity by moving analytics workloads where the ...

The Data Engineer's Guide to Apache Spark™ For data engineers looking to leverage Apache Spark™'s immense growth to build faster and more reliable data pipelines, Databricks is happy to provide The ...

Databricks identified several of the fastest-growing areas in the Spark ecosystem as Spark SQL users (up 67 pecrent), streaming users (up 57 percent) and advanced analytics users (leveraging the ...

At the recent Spark AI Summit 2020, held online for the first time, the highlights of the event were innovations to improve Apache Spark 3.0 performance, including optimizations for Spark SQL, and ...

And Apache Spark, which largely eclipsed Hadoop as the open source analytics poster child, has made its way into numerous Microsoft platforms, including its flagship SQL Server database and Azure ...

It’s safe to say that, if you’re a big data developer, you’re probably interested in Spark, among a number of other technologies. According to a recent survey by Syncsort, nearly 70% of respondents ...

The shift to a microservices architecture is being done through a project called Spark Connect, which introduced a new protocol, based on gRPC and Apache Arrow, that allows remote connectivity to ...