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 ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

In industries relying on up-to-the-minute insights, interruptions disrupt crucial processes, hindering timely responses to market changes and the accuracy of analytical outcomes. This can lead to ...

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, ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...

LAS VEGAS--(BUSINESS WIRE)--At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced new integrations that enable customers to quickly and easily ...

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

Data engineers historically have toiled away in the virtual basement, doing the dirty work of spinning raw data into something usable by data scientists and analysts. The advent of generative AI is ...

The Cloud ETL (Extract, Transform, Load) Tool Market was valued at USD 2.8 billion in 2024 and is projected to reach USD 10.5 billion by 2033, exhibiting a CAGR of 16.4% from 2026 to 2033. This ...

To help drive business growth and make informed decisions, organizations often turn to data software systems to turn their datasets into actionable insights. However, with many data solution tools ...