This is the first in a series of articles about ELT, how it compares with traditional ETL and what new use cases it enables. In this first article, we’ll focus on discussing ETL (extract ...

Examining Effective ETL Migration Strategies Efficiently leveraging ETL tools to the cloud platform is the ultimate goal for successful cloud migration. There are primarily two ways to modernize ...

ETL Jobs and Interactive Sessions: Hourly rate, billed by the second, for ETL jobs and interactive sessions. For example, an AWS Glue Apache Spark job that runs for 15 minutes and uses 6 DPUs ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework. In today’s data-driven landscape ...

ETL is often used when dealing with legacy systems, complex business logic, or compliance requirements that demand data cleansing before loading it into a warehouse. ETL vs. ELT: Which is better?

ETL Evolution: Why It Is As Mission-Critical As Ever in the AI-Era, DBTA's most recent webinar, featured John O'Brien, principal advisor and industry analyst, Radiant Advisors, and Abhilash Mula, ...

Amazon made a couple of announcements today at AWS re:Invent in Las Vegas that helps move data management toward a future without the need for extract transform load, or ETL.

Despite evolution over the years, traditional ETL processes have lost the race to the madness called big data. As per Gartner, only 20% of analytic insights will trigger key business outcomes.

Fivetran said that with the acquisition of Census and its Reverse ETL platform, the company “now enables governed data movement in every direction across all major warehouses, data lakes, and ...