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 ...

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

Extract, transform and load (ETL) tools are used to migrate data from disparate sources, preprocess the data and load it into a target system or data warehouse. The process often offers users ...

Many IT professionals say the data transformation tool ETL hinders companies’ ability to do real-time analytics, and they are looking for alternatives. The data transformation tool known as ETL ...

ETL (extract, transform, load) migration is often treated as an afterthought when companies plan the migration of their on-prem data warehouses and data lakes to the cloud. Of course, ETL ...

Matillion, a provider of data transformation software for cloud data warehouses (CDWs), is releasing Matillion ETL for Azure Synapse to enable data transformations in complex IT environments at scale.

ETL vs ELT: What Are the Main Differences and Which Is Better? Your email has been sent What are the main differences between ETL and ELT? Use our guide to compare ETL and ELT, including their ...

Because they operate in the moment, streaming engines by nature have been confined to performing rudimentary operations such as monitoring, filtering, light transformations of data. But as the ...

Coalesce is a startup that offers data transformation tools geared mainly ... Fortunately for Coalesce, the ETL market is massive, with one estimate putting it at $10.75 billion as of early ...