Skip to Content
Building Real-Time Analytics Systems
book

Building Real-Time Analytics Systems

by Mark Needham
September 2023
Beginner to intermediate
220 pages
4h 36m
English
O'Reilly Media, Inc.
Content preview from Building Real-Time Analytics Systems

Chapter 1. Introduction to Real-Time Analytics

It’s a huge competitive advantage to see in real time what’s happening with your data.

Hilary Mason, Founder and CEO of Fast Forward Labs

A lot of data in a business environment is considered unbounded because it arrives gradually over time. Customers, employers, and machines produced data yesterday and today and will continue to produce more data tomorrow. This process never ends unless you go out of business, so the dataset is never complete in any meaningful way.

Note

Of the companies that participated in Confluent’s Business Impact of Data Streaming: State of Data in Motion Report 2022, 97% have access to real-time data streams, and 66% have widespread access.

Today, many businesses are adopting streaming data and real-time analytics to make faster, more reliable, and more accurate decisions, allowing them to gain a competitive advantage in their market segment.

This chapter provides an introduction to streaming and real-time analytics. We’ll start with a refresher about streaming data before explaining why organizations want to apply analytics on top of that data. After going through some use cases, we’ll conclude with an overview of the types of real-time analytics applications we can build.

What Is an Event Stream?

The term streaming describes a continuous, never-ending flow of data. The data is made available incrementally over time, which means that you can act upon it without needing to wait for the whole dataset to ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI 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.
Field Engineer
QuotationMarkI’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.
Data Platform Tech Lead
QuotationMarkI'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.
Mark W.
Embedded Software Engineer

You might also like

Building Real-Time Analytics Applications

Building Real-Time Analytics Applications

Darin Briskman
Advanced Analytics with PySpark

Advanced Analytics with PySpark

Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, Josh Wills
Graph-Powered Analytics and Machine Learning with TigerGraph

Graph-Powered Analytics and Machine Learning with TigerGraph

Victor Lee, Phuc Kien Nguyen, Alexander Thomas
Building Machine Learning Pipelines

Building Machine Learning Pipelines

Hannes Hapke, Catherine Nelson

Publisher Resources

ISBN: 9781098138783Errata Page