March 2022
Beginner to intermediate
206 pages
4h 21m
English
Content preview from Data Lakehouse in Action
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Chapter 1: Introducing the Evolution of Data Analytics Patterns
Data analytics is an ever-changing field. A little history will help you appreciate the strides in this field and how data architectural patterns have evolved to fulfill the ever-changing need for analytics.
First, let's start with some definitions:
- What is analytics? Analytics is defined as any action that converts data into insights.
- What is data architecture? Data architecture is the structure that enables the storage, transformation, exploitation, and governance of data.
Analytics and the data architecture that enables analytics goes a long way. Let's now explore some of the patterns that have evolved over the last few decades.
This chapter explores the genesis of data growth ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.