SQL is not confined to the traditional relational database systems (RDBMS) and data warehousing solutions. SQL-on-Hadoop engines run on top of distributed file systems to help process big data and ...

Create the ETL Jobs We can finally focus on the process of transforming the various sources of data. Here again, multiple technologies exist: MapReduce, Cascading and Pig are some of the most common ...

Here are common strategies for this process: 1. Version Control For ETL Code Change tracking detects changes in ETL code, ensuring a comprehensive record of modifications made over time.

Microsoft first truly disrupted the ETL marketplace with the introduction of SQL Server Integration Services (SSIS) back with the release of SQL Server 2005. Microsoft has upped the ante yet again by ...

If you're considering using a data integration platform to build your ETL process, you may be confused by the terms data integration and ETL. Here's what you need to know about these two processes.

Understanding the complexities of ETL for data management Data is critical to the success of any business, but it’s in the ETL tools where a company can unlock the true potential of its data.

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow.

Queplix Corp., a provider of data virtualization solutions, has announced two new product families to bring the benefits of data virtualization to ETL (extract, transform and load). According to ...

One of the messages to emerge during the AWS re:Invent gathering in Las Vegas this week is that Amazon is declaring war on the need to extract, transfer and load data. The ETL process has been a ...

What are the main differences between ETL and ELT? Use our guide to compare ETL and ELT, including their processes, benefits and drawbacks.