In this special guest feature, Monte Zweben of Splice Machine outlines how traditional ETL processes are bursting at the seams with the volume of Big Data and ways to streamline the ETL pipeline.

Hi guys,<BR><BR>I've dumped with an ETL project which will form the basis of a reporting system.<BR><BR>I've been looking at a few Open Source tools and commericial products (infomatica, hyperion) but ...

Microsoft has dabbled in the ETL (extract-transform-load) marketplace for a long time, in fact, almost 2 decades. Way back in the day, SQL Server shipped with a command-line tool known as the Bulk ...

The extract, transform and load (ETL) processes that feed Humana Inc.’s multiterabyte data stores consist of hundreds of custom-coded, table-driven Cobol programs. Those processes proved too ...

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow. BlazingSQL is a GPU-accelerated SQL engine built on top of ...

Data Ingestion vs. ETL: What Are the Main Differences? Your email has been sent Data ingestion and ETL are often used interchangeably. But, they're not the same thing. Here's what they mean and how ...

SQL development is evolving fast, and Microsoft.Build.Sql is leading the charge. This next-generation SDK brings flexible project structures, better source control integration, automated build-time ...

Kishore Ande led a transformative data integration initiative at CNA Insurance that revolutionized how the organization processed critical daily transaction data from Managing General Underwriters ...