Extract, transform, and load (ETL). Those are three words that when placed side-by-side in nearly any order strike fear into people across all levels of business. ETL is perhaps one of the most ...

The rapidly changing world of data engineering has seen a significant shift with the combination of Apache Spark, Snowflake, and Apache Airflow. This trio allows organizations to build highly ...

Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...

After a year of development, Pentaho Labs has finally finished adapting the data integration and preparation component of its widely-used business intelligence suite to work with Apache Spark. The ...

Apache Spark has been lauded for its versatility and strengths as a distributed computing framework. It’s attractive, in part, because it can deliver analytics, do data processing, and handle machine ...