Data basics Archives - Page 2 of 6

How To Replicate Data From MySQL To Parquet: Full Guide

Syncing data from MySQL to Parquet lets you power both transactional and Big Data workloads. But setting it up effectively isn’t easy.

Data pipelines are everywhere, including some surprising places. Here are some often-overlooked examples that might apply to your industry.

Real-time data is a foundation of modern life that can sometimes hide in plain sight. Here’s how it works and how you can benefit.

Syncing your relational database and data warehouse (ie, Postgres and BigQuery) reliably is critical. But it doesn’t have to be hard.

Not all data pipelines platforms are a good fit for every business. In this post, we’ll look at the strengths and weaknesses of top tools.

Want to take advantage of real-time data in your business? This guide will provide in-depth information about real-time data and its uses.

Building a pipeline between Kafka and PostgreSQL has innumerable benefits for your stack. It shouldn’t have to be hard.

Data connectors are critical for bridging the gap between data systems. They come in many forms, and carry many benefits.

Your team can reap the benefits of both Google Sheets and Postgres without sacrificing data integrity across your stack.

You can’t go wrong with Kafka for real-time data, but other platforms give it a run for its money. Here’s how they stack up.