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Introducing NoSQL and MongoDB
By Brad Dayley
Sep 18, 2014
In this chapter from NoSQL with MongoDB in 24 Hours, Sams Teach Yourself, learn about the design considerations to review before deciding how to implement the structure of data and configuration of a MongoDB database. You'll also learn which design questions to ask and then how to explore the mechanisms built into MongoDB to answer those questions.
Hit the Ground Running with MongoDB and Python
By Stephen B. Morris
Sep 16, 2014
Stephen B. Morris describes how to get started with MongoDB and Python. As usual with Python, you can get productive quickly, without worrying about complex IDEs. MongoDB has a simple data model and easy-to-understand semantics, giving you a handy on-ramp to this interesting technology.
Introduction to Understanding Big Data Scalability
By Cory Isaacson
Aug 18, 2014
This introduction describes the goals of the Big Data Scalability four-volume series, focusing on the underlying growth of databases (the "data explosion") and providing some background into big data's relevance.
SQL Queries for Mere Mortals: Thinking in Sets
By Michael J. Hernandez, John Viescas
Jul 1, 2014
This chapter introduces the concept of an SQL set. It discusses each of the major set operations implemented in SQL in detail (intersection, difference, and union), and shows how to use set diagrams to visualize the problem you’re trying to solve. Finally, it introduces the basic SQL syntax and keywords (INTERSECT, EXCEPT, and UNION) for all three operations.
Why Big Data and Analytics?
By Brenda L. Dietrich, Maureen F. Norton, Emily C. Plachy
Jun 12, 2014
Get the inside story of how analytics is being used across the IBM enterprise in this introduction to Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics.
Ten Tips to Realize Value from Big Data and Analytics
By Brenda L. Dietrich, Maureen F. Norton, Emily C. Plachy
Jun 10, 2014
What does it really take to derive value from Big Data and Analytics? Co-authors of Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics, Brenda Dietrich, Emily Plachy and Maureen Norton, identify 10 top tips based on their years of experience at IBM “eating their own cooking.” Interviews with more than 70 executives, managers and analytic practitioners across IBM yielded 31 case studies across 9 different business functions which show the breadth challenges, outcomes, analytics techniques, and lessons learned to make your analytics journey to realize business value successful.
Preface to Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2
By Arun C. Murthy, Doug Eadline, Jeff Markham, Joseph Niemiec, Vinod Kumar Vavilapalli
May 20, 2014
While the power of YARN is easily comprehensible, the ability to exploit that power requires the user to understand the intricacies of building such a system in conjunction with YARN. This book aims to reconcile that dichotomy, as the authors explain in the preface to Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2.
Apache Hadoop YARN: A Brief History and Rationale
By Arun C. Murthy, Doug Eadline, Jeff Markham, Joseph Niemiec, Vinod Kumar Vavilapalli
Mar 24, 2014
This chapter provides a historical account of why and how Apache Hadoop YARN came about.
Data Just Right Video Tutorials: How to Use Hadoop, Hive, Shark, R, Apache Pig, Mahout, and Google BigQuery
By Michael Manoochehri
Feb 26, 2014
Michael Manoochehri provides viewers with an introduction to implementing practical solutions for common data problems. This excerpt from Data Just Right LiveLessonscontains three sample videos: 1. Loading Data into Hive, 2. Writing a Multistep MapReduce Job Using the mrjob Python Library, and 3. Using the Pandas Library for Analyzing Time Series Data.
Data Reshaping in R
By Jared P. Lander
Feb 3, 2014
Jared P. Lander considers when the data needs to be rearranged from column oriented to row oriented (or the opposite) and when the data are in multiple, separate sets and need to be combined into one.
The Basics of Monitoring Cassandra
By Russell Bradberry, Eric Lubow
Jan 28, 2014
This chapter covers the basics of monitoring Cassandra. These include file-based logging, inspection of the JVM, and monitoring of Cassandra itself.
Four Rules for Data Success
By Michael Manoochehri
Jan 1, 2014
Database technology is a fast-moving field filled with innovations. Michael Manoochehri describes the current state of the field and discusses the four rules for data success.
What's New in SQL Server 2012
By Ray Rankins, Paul T. Bertucci, Chris Gallelli, Alex T. Silverstein
Dec 13, 2013
This chapter introduces the major new features provided in SQL Server 2012 and covers a number of the enhancements to previously available features.
Working with Big Data: How to Set up a Basic Hadoop Installation
By Paul Dix
Nov 25, 2013
In this video, Paul Dix provides an overview of Hadoop, a framework of tools, libraries, and methodologies for big data analysis, and shows how to set up a basic Hadoop installation.
Using Database Tools and Utilities in DB2
By Raul F. Chong, Clara Liu
Nov 19, 2013
How do you work with DB2? How do you issue SQL and/or XQuery statements and enter DB2 commands? Are there graphical tools that can make your administration tasks easier? This chapter provides the answers to all of these questions. DB2 provides a wide range of tools, both graphical and command-driven, to help you work with DB2.
Oracle Solaris 11 System Administration: Administering Storage Devices
By Bill Calkins
Aug 13, 2013
System administrators need to know how to specify device names when using commands to manage disks, file systems, and other devices. This chapter describes disk device management in detail. It also describes disk device naming conventions as well as adding, configuring, and displaying information about disk devices attached to your system.
Using SQL to Manage Data
By Paul Dubois
Apr 29, 2013
SQL is the means by which you tell the server how to perform data management operations, and fluency with it is necessary for effective communication. This chapter covers how to use SQL to manage data, including changing the SQL mode to affect server behavior, referring to elements of databases, using multiple character sets, creating and destroying databases, tables, and indexes, obtaining information about databases and their contents, retrieving data using joins, subqueries, and unions, using multiple-table deletes and updates, performing transactions that enable statements to be grouped or canceled, setting up foreign key relationships, and using the FULLTEXT search engine.
A Crash Course in Test-Driven Development
By Max Guernsey
Apr 4, 2013
Get a crash course in test-driven development, including the test-first technique, a test's proper role in your organization, what you want to specify, and traditional database design concepts.
Ten Tips for Constructing an Agile Database Development Environment that Works
By Max Guernsey
Feb 26, 2013
Max Guernsey, III, author of Test-Driven Database Development: Unlocking Agility, shares ten fundamental prescriptions and proscriptions to help you be more successful in your database development endeavors.
A Database Technology Recommended Reading List by Mike Hernandez
By Michael J. Hernandez
Feb 11, 2013
If you're interested in an in-depth study of database technology, Michael J. Hernandez, the author of Database Design for Mere Mortals: A Hands-On Guide to Relational Database Design, 3rd Edition, recommends these books.

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