The lifeline for any business intelligence solution is the process called extract, transform, and load (ETL). According to a recent survey by The Data Warehousing Institute (TDWI), ETL design and ...

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 ...

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.

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 and ETL are often used interchangeably. But, they’re not the same thing. Here’s what they mean and how they work. Today’s businesses have increased the amount of data they use in their ...

I am looking for help regarding the ETL process. I have raw data and I want to transform it in MySQL to remove data errors. What is the process for doing this? If you Google for extract, transform and ...

Data integration and processing is a complex challenge enterprise IT organizations face when they manage microservices applications at scale. Modern microservices applications process data from a wide ...

Global software house Microsoft is making big data the focus of SQL Server 2019, set for release later this year. A key part is data virtualisation, eliminating complex ETL processes. Microsoft says ...

Amazon Aurora PostgreSQL, Amazon DynamoDB, and Amazon RDS for MySQL zero-ETL integrations with Amazon Redshift enable customers to analyze data from multiple sources without building and maintaining ...

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 ...