Big Data Glossary: A Guide to the New Generation of Data Tools

by Pete Warden

To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on first-hand experience with these tools in a production environment.

This handy glossary also includes a chapter of key terms that help define many of these tool

NoSQL Databases—Document-oriented databases using a key/value interface rather than SQLMapReduce—Tools that support distributed computing on large datasetsStorage—Technologies for storing data in a distributed wayServers—Ways to rent computing power on remote machinesProcessing—Tools for extracting valuable information from large datasetsNatural Language Processing—Methods for extracting information from human-created textMachine Learning—Tools that automatically perform data analyses, based on results of a one-off analysisVisualization—Applications that present meaningful data graphicallyAcquisition—Techniques for cleaning up messy public data sourcesSerialization—Methods to convert data structure or object state into a storable format

Genres: Nonfiction

61 pages, Kindle Edition

First published January 1, 2011

Reviews

[Keheliya Gallaba · Rating 4 out of 5]

A nice, high level introduction to Big Data related tools/platforms for the developers or academic researchers in data science. Will be a good starting point to get up to speed with the available options.

[Arwa hawwa · Rating 3 out of 5]

There are no examples that could make me understand this *^@$%@ Big data :(((((((((((((((

[Jascha · Rating 1 out of 5]

I was kinda skeptical when I first had my hands on these 60 pages and, after getting through them (that did not take so much), I’m still kinda puzzled. I did not get confused by the content, no. I guess if you decide to read this book, you must know what to expect from it, else you will end up pretty much disgusted with both the money and time wasted.

Let’s make it clear: this book doesn’t teach you anything. After thirty minutes or so, when you reach the back cover, you will not have learned anything. But chances are you will open Iceweasel, or whatever your favorite browser is, and go search more information about some of the tools the author described.

And that’s the one and only aim of the author: to make you wanna know more about some specific application that you were not aware of. I did search something indeed, so that, in that sense, mission accomplished.

Now, would I suggest reading the book? Yea, why not. You can always find out someone is developing something that could be useful to you.

Would I suggest buying the book. No. For a couple of reasons:
1. It’s not worth the money. This book should not be a book, but rather some kind of weekly newsletter or better, O’Really should make sure that Amazon and any other book store, gives yo ua ocpy of this title whenever you purchase an IT book, to show you the latest technologies and tell you hey, we’ve got a book covering that subject!
2. The book is outdated already. It’s from 2011. Technology advances so fast that what was hot and cool four years ago now has probably been replaced by something else.

As usual, you can find more reviews on my personal blog: http://books.lostinmalloc.com. Feel free to pass by and share your thoughts!

[TN · Rating 3 out of 5]

It was a book with good information for big data storing systems. It was very short.

[Stoyan · Rating 3 out of 5]

This book is a summary of the most popular modern tools for dealing with big datasets. There are no detail descriptions of the presented tools but it is a good intro book.

[Fredrik · Rating 3 out of 5]

this book presumably has a very imminent/short best-before-date, but is nonetheless worth a read.

[Bala · Rating 4 out of 5]

This is an informative book that provides a high level view on all Big Data tools and technologies.

[Leonardo · Rating 3 out of 5]

Bom para ter uma visão geral de ferramentas de Big Data. Fraco nos conceitos, mas serve como ponto de partida para se aprofundar na área.

[Vojtech Rinik · Rating 3 out of 5]

Just an overview of big data tasks and tools, nothing less, nothing more.

[Sapan Patel · Rating 3 out of 5]

Nothing in detail, but gives the happenings and context of the Big Data Buzz. Just a good "Perspective Builder".

[André Gomes · Rating 3 out of 5]

A quick read for those who want to be introduced to the big data world.

I think the lack of examples and illustrations make the understanding of the concepts too abstract.

[Mms Mamdouh Al Shamy · Rating 3 out of 5]

A good overview of Big Data tools

[Chris2048 · Rating 3 out of 5]

Very brief introduction, the links might take as long to investigate.
Good introduction, although will become outdated very fast (needlebase no longer exists, for example).

[Mahesh Gupta · Rating 4 out of 5]

one stop to get overview of all the big data overview. but should have included more of content rather than just glossary.

[Dave · Rating 4 out of 5]

Excelente intro al mundo del Big Data

[Jai · Rating 2 out of 5]

Too many technologies and too little talked about!