AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

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 ...

Oracle has announced the general availability of Oracle Warehouse Builder 10g Release 2, the database design and Extraction, Transformation and Load (ETL) tool that helps customers manage the life ...

Database vs Data Warehouse vs Data Lake comes down to how data is stored, processed, and used. A database is typically built ...

You’ve probably heard of ETL, or heard somebody talk about “ee-tee-elling” their data. It’s a technology from the days of big iron for extracting data from many relational databases, transforming it ...

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 ...

Maria Anurag Reddy Basani, a seasoned expert in data engineering and analytics, has made significant strides in the field over the past decade. With experience spanning industries such as insurance, ...

One of the key assumptions of the current business environment is that competence in using data to improve your business operations can be a source of competitive advantage. It doesn’t matter if you ...

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 ...

MetaMatrix was one of a few “database virtualization” products that aimed to make all of your RDBMSes look like one giant unified schema. This is the sort of idea that makes perfect sense to people ...