Use the Right Tools There are specific tools that the data analysts work a lot with. SQL is used to get data from large databases. Python or R is used to identify patterns in the data. Excel is good ...

Cost-effectiveness: Many of these tools offer affordable pricing plans, making advanced data analysis accessible to businesses of all sizes. Here’s how to get started with AI to analyze your data.

Get up and running—and avoid the setup pitfalls—with this enterprise-class, open-source database available for all major platforms.

With LakeFlow, Databricks users will soon be able to build their data pipelines and ingest data from databases like MySQL, Postgres, SQL Server and Oracle, as well as enterprise applications like ...

PeerDB, the leading data movement platform for PostgreSQL, today announced it received $3.6 million in seed round funding. Investors in the round include lea ...

We take a closer look at ChatGPT's privacy policy, the data it save, and how parent company OpenAI uses your information.

This is a Data Engineering end-to-end project demonstrating how to unlock real-time insights from a transactional database. Unlocking real-time insights requires a streaming architecture that ...

Users of ChatGPT in Europe can request deletion of their personal data in order to stop OpenAI's chatbot processing (and producing) information about them. They can also request an opt-out of ...

Learn how to integrate Django and OpenERP using XML-RPC, REST API, or Django ORM. Compare their pros and cons and choose the best method for your project.

To test how well ChatGPT could extract structured data from PDFs, I wrote a Python script (which I’ll share at the end!) to convert two document sets to spreadsheets: A 7,000-page PDF of New York data ...

If you want the regional Pokémon Torkoal, Tropius, and Relicanth in Pokémon Go, you’ll need to hatch 10 kms on Feb. 25 and 26.