Fivetran is buying Census, which develops its Reverse ETL platform for making prepared, trusted data in data warehouse systems available for operational and AI applications. Data movement tech company ...

Adeptia, the Intelligent ETL platform for enterprise data automation, today announced Automate 5.3, the company's latest agentic platform release. The latest release expands its native MCP ...

Invoices for almost the same work arrive every few weeks. Specialized consultant fees for migrating data from acquired ...

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 ...

What are the main differences between ETL and ELT? Use our guide to compare ETL and ELT, including their processes, benefits and drawbacks. The E, T and L in both ETL and ELT stand for extract, ...

Getting a consistent view of business performance across a large enterprise is a thorny problem. Often, global corporations lack a single definitive source of data related to customers or products.

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 ...

BearingPoint’s Shruti Goyal talks about zero-copy architecture and why it’s ultimately a game-changer for data teams. The world of data architecture, according to Shruti Goyal, has been defined by one ...

The extract-transform-load (ETL) system, or more informally, the "back room," is often estimated to consume 70 percent of the time and effort of building a data warehouse. But there hasn't been enough ...

Extraction, transformation and load (ETL) became a familiar concept in the 1990s, when data warehousing became a well known business intelligence (BI) concept. The advent of the web, and the vast ...