DuckDB is rapidly changing the way data scientists and engineers work. It’s efficient and internally parallelised architecture means that a…

Data work has its own unique architecture we should be aware of

Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. We are continuously investing…

BigQuery’s serverless architecture features storage and query optimizations that deliver transformational data analytics performance.

Data lakes are a popular choice for today’s organizations to store their data around their business activities. As a best practice of a data lake design, data should be immutable once stored. But regulations such as the General Data Protection Regulation…

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. To illustrate an example, in a typical sales domain, customer, time or product are dimensions and sales transactions…

A list of Terraform modules to build your Azure Data IaC templates. - Azure/azure-data-labs-modules

Back To Basics | SQL fundamentals for beginners

𝗪𝗮𝗻’𝘁 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮𝗻 𝗔𝘇𝘂𝗿𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿?

Check out this free resource! 🔥

The DP-203 exam is an excellent step in the journey… | 26 comments on LinkedIn

A powerful framework for building AI applications

The Battle for the Orchestration Future.

Instantly query your cloud, code, logs & more with SQL. Build on thousands of open-source benchmarks & dashboards for security & insights.

In this article we'll explore how to improve your ML pipeline development with MLOps tools for reproducible experiments. Read on to learn more.

Introduction

Practical guide to compare basic operations in both

Using multiprocessing, threading and asyncio

This post explains Kotosiro Delta Sharing server basic instructions