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 ...

Overview: MongoDB continues to power modern applications, but analytics requires structured, reliable pipelines.ETL tools ...

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 ...

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 ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

This overview of Fivetran, an ETL and data migration tool, provides a detailed look at its features, pricing and terms. Image: Mark/Adobe Stock Fivetran has become a popular tool for efficiently ...

Data Integration vs ETL: What Are the Differences? Your email has been sent If you're considering using a data integration platform to build your ETL process, you may be confused by the terms data ...

Sachin is the CEO and Co-Founder of Dataworkz, which uses AI-powered automation to take the slog out of building a data-driven enterprise. This is the first in a series of articles about ELT, how it ...

The extract, transform, and load phases of ETL typically involve multiple tasks, each of which can be executed independently. This means you can develop each task as a microservice. Companies generate ...