Skip to Main Content
Data Analytics for IT Networks: Developing Innovative Use Cases, First Edition
book

Data Analytics for IT Networks: Developing Innovative Use Cases, First Edition

by John Garrett
October 2018
Beginner to intermediate content levelBeginner to intermediate
496 pages
16h 24m
English
Cisco Press
Content preview from Data Analytics for IT Networks: Developing Innovative Use Cases, First Edition

Chapter 3

Understanding Networking Data Sources

This chapter begins to examine the complexities of networking data. Understanding and preparing all the data coming from the IT infrastructure is part of the data engineering process within analytics solution building. Data engineering involves the setup of data pipelines from the data source to the centralized data environment, in a format that is ready for use by analytics tools. From there, data may be stored, shared, or streamed into dedicated environments where you perform data science analysis. In most cases, there is also a process of cleaning up or normalizing data at this layer. ETL (Extract, Transform, Load) is a carryover acronym from database systems that were commonly used at the data ...

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.
Start your free trial

You might also like

Data Governance: The Definitive Guide

Data Governance: The Definitive Guide

Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant, Jessi Ashdown
The Enterprise Data Catalog

The Enterprise Data Catalog

Ole Olesen-Bagneux

Publisher Resources

ISBN: 9780135183496