---
title: Blog posts tagged "data lake"
description: Canonical makes open source secure, reliable and easy to use, providing
  support for Ubuntu and a portfolio of enterprise-grade technologies. Founded in
  2004, Canonical operates globally with team members in over 80 countries.
url: https://canonical.com/blog/tag/data-lake
---

# Blog posts tagged "data lake"

#### [From raw data to intelligent actions: inside our next-gen AI analytics data lake stack](https://canonical.com/blog/inside-our-next-gen-ai-analytics-data-lake-stack)

At Canonical, we believe organisations should be able to unlock the full value of their data without giving up control. That principle is at the heart of our next-generation enterprise data lake stack. It’s designed for organizations that need to build advanced analytics and AI capabilities while maintaining control over their data, infra

---

AI

#### [Big data security foundations in five steps](https://canonical.com/blog/big-data-security-foundations-in-five-steps)

We’ve all read the headlines about spectacular data breaches and other security incidents, and the impact that they have had on the victim organisations. And in some ways there’s no place more vulnerable to attack than a big data environment like a data lake.

---

Data Platform

#### [Let’s play: sharded big data PostgreSQL](https://canonical.com/blog/lets-play-sharded-big-data-postgresql)

Everyone knows that if you’ve got big data, you need Apache Hadoop, right? It’s an affordable, horizontally scalable, clustered data processing platform ideal for data warehousing use cases. And it knocks the socks off classic relational database management systems like PostgreSQL that can barely keep up when playing with a terabyte of da

---

Data Systems

#### [Data Lab, Data Lake, Data Hub: what’s the difference?](https://canonical.com/blog/data-lake-data-lab-data-hub-whats-the-difference)

In this post we’ll explore the concepts of data lake, data hub and data lab. There are many opinions and interpretations of these concepts, and they are broadly comparable. In fact, many might say they’re synonymous and we’re just splitting hairs. Let’s look again.

---

AI