If you’ve bought a smoke alarm from Amazon recently, you may want to double-check that it actually meets U.S. safety standards. The Wirecutter recently uncovered that several of the best-selling smoke ...

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...

As the volume, velocity, and variety of data continue to accelerate, developers are facing a critical shift: data is no longer just stored and queried--it's constantly on the move. From traditional ...

Microsoft is betting big on AI. Starting with integrating Bing with ChatGPT, it has implemented AI capabilities in its products. Microsoft Designer is a new product from Microsoft with AI capabilities ...

Blockchains are a treasure trove of data. The transparency and immutability of data in public blockchains make them a reliable resource for trustless verification and data analysis. The caveat is that ...

Imagine this: you’re in the middle of an important project, juggling deadlines, and collaborating with a team scattered across time zones. Suddenly, your computer crashes, and hours of work vanish in ...

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, ...

Constant, widespread technological evolutions tend to distract businesses in pursuit of the next big ROI-driver. However, some traditional processes, if neglected, will lead to foundational failure ...

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 ...