Spark SQL allows user-defined functions (UDFs) to be transparently used in SQL queries. Selecting some columns from a dataframe is as simple as this line of code: citiesDF.select(“name ...

Databricks said the free offering automates up to 80% of the migration lifecycle and can be used as part of a strategy to ...

Spark’s SQL support also gets better in 3.2. Specifically ... and now it has contributed that code back to the Apache Spark community so everybody can avail themselves of the benefits of retaining ...

“We added low-code SQL to our already robust support for Spark because, over and over, we’ve seen how data analytics and machine learning are bottlenecked when teams can’t feed ...

Second, Vora has an SQL interpreter layer that takes SQL queries submitted to Spark and compiles them down to C code, which runs very close to the server iron and which is very fast compared to SQL.

Spark is itself an ecosystem of sorts, offering options for SQL-based access to data ... This means it's hard to pinpoint which lines of code cause something to happen in this complex distributed ...

While low-code SQL is new, it must be noted that this is not the first visual tooling of the platform. The company already provides low-code support for Spark, Spark Streaming, and Apache Airflow ...

Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ...

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...