Find the right big data solution for your business or organizationBig data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social netwo
Big data for dummies
โ Scribed by Judith Hurwitz; Alan Nugent; Fern Halper; Marcia Kaufman
- Publisher
- Wiley, For Dummies
- Year
- 2013
- Tongue
- English
- Leaves
- 338
- Series
- -For dummies
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Find the right big data solution for your business or organization
Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work.
- Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals
- Authors are experts in information management, big data, and a variety of solutions
- Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more
- Provides essential information in a no-nonsense, easy-to-understand style that is empowering
Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.
โฆ Table of Contents
Content: Grasping the fundamentals of big data --
Examining big data types --
Old meets new: distributed computing --
Digging into the big data technology components --
Virtualization and how it supports distributed computing --
Examining the cloud and big data --
Operational databases --
MapReduce fundamentals --
Exploring the world of Hadoop --
The Hadoop foundation and ecosystem --
Appliances and big data warehouses --
Defining big data analytics --
Understanding text analytics and big data --
Customized approaches for analysis of big data --
Integrating data sources --
Dealing with real-time data streams and complex event processing --
Operationalizing big data --
Applying big data within your organization --
Security and governance for big data environments --
The importance of big data to business --
Analyzing data in motion: a real-world view --
Improving business processes with big data analytics: a real-world view --
Ten big data best practices --
Ten great big data resources --
Ten big data do's and don'ts.
Abstract:
๐ SIMILAR VOLUMES
<p><b>Find the right big data solution for your business or organization</b><p>Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or
Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data m
<b>The fast and easy way to make sense of statistics for big data</b> <p>Does the subject of data analysis make you dizzy? You've come to the right place! <i>Statistics For Big Data For Dummies</i> breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring da
<b>The fast and easy way to make sense of statistics for big data</b>Does the subject of data analysis make you dizzy? You've come to the right place!<i>Statistics For Big Data For Dummies</i>breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data ana