With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Databricks, AWS and Google Cloud are among the top ETL tools for seamless data integration, featuring AI, real-time processing and visual mapping to enhance business intelligence. Extract ...

As digital transformation accelerates, now is the time to revisit your integration strategy and unlock the full potential of ...

Databricks Inc. today announced the general availability of Delta Live Tables, which it claims is the first extract/transfer/load or ETL framework to use a declarative approach to building data ...

As data integration gets agile, custom alternatives to ETL are gaining acceptance. For example, streaming data through the pipeline is based on business entities and not database tables.

Databricks today announced the general availability (GA) of Delta Live Tables (DLT), a new offering designed to simplify the building and maintenance of data pipelines for extract, transform, and load ...

Google BigQuery ETL is a cloud-based data warehouse that ... its change data capture and replication service, for processing tables for analytics. This change data capture and replication can ...

Organisations need to establish the dependencies on which lookup tables must be populated before the dimensions of the ETL system are in place. These dimensions must be up to date before certain ...

Amazon made a couple of announcements today at AWS re:Invent in Las Vegas that helps move data management toward a future without the need for extract transform load, or ETL. ETL is the bane of ...

Microsoft Excel offers a wide array of data sorting and organizing functions, but Excel power users often consider pivot tables among the software's most powerful tools. Though business users can ...