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 ...

Automate 5.3 lets AI agents, and the business teams working alongside them, build and validate data mappings in natural language, cutting mapping time from weeks to minutes and easing the load on ...

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 ...

Invoices for almost the same work arrive every few weeks. Specialized consultant fees for migrating data from acquired companies into the core system cost $20,000 to $30,000 per project. For a company ...

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, ...

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 ...

Using data fabric architectures to solve a slew of an organization’s operational problems is a popular—and powerful—avenue to pursue. Though acknowledged as a formidable enabler of enterprise data ...

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 ...

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.

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 ...