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Getting Started with Data Science: Hypothetically Speaking
Feb 2, 2016
This chapter from Getting Started with Data Science: Making Sense of Data with Analytics introduces the basic concepts of random numbers and probability distributions. It provides a formal introduction of Normal and t-distributions, which are commonly used for statistical models. Finally, it explores hypothesis testing for the comparison of means and correlations.
Getting Started with Database Design: Business Analysis
Feb 21, 2003
Learn how to translate a business scenario into a relational database design through analyzing the business needs and specifying application requirements.
Getting Started with MSDE and VB .NET
May 17, 2002
How can you build small multiuser applications inexpensively while preparing to scale up if your database needs increased performance? This article shows you how to use MSDE for these tasks.
Getting Started with MySQL and SQL
Apr 1, 2005
Perfect for SQL novices, this chapter provides an introduction to the MySQL relational database management system (RDBMS), and to the Structured Query Language (SQL) that MySQL understands.
Getting Started With OpenACS
Jul 10, 2000
This article covers the installation, initial configuration, and testing of the software components that are necessary for you to run the toolkit. The second article (coming soon) will show you how to enable various modules for your site and give you ...
Handling Geometric Data with PostgreSQL
Dec 28, 2001
Many geometric datatypes have been included in the core distribution of PostgreSQL, and they can be used reliably for a variety of applications.
HBase Data Analysis with MapReduce
Nov 26, 2014
HBase supports two types of read access: table scans by row key and MapReduce jobs. Table scans enable you to retrieve the exact subset of rows you are looking for, and MapReduce jobs enable you to perform analysis across a greater set of data. This article reviews HBase’s support for MapReduce and demonstrates how to create a MapReduce job to analyze 10,000 records in a table.
Hit the Ground Running with MongoDB and Python
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.
Hooking Up with IBM DB2 Universal Database Version 8 Using Java
Apr 2, 2004
Need a jump start on using DB2 with JDBC technology? Database programming with JDBC lets Java programmers interact programmatically with database systems. Kulvir Bhogal and Grant Hutchison discuss the subject of programming with JDBC when the target database is the IBM DB2 universal database.
How I Got into Bento
Jun 15, 2010
Long-time database user and designer Jesse Feiler shares his experiences with Bento — a very different kind of database.
iDBA Issues: Rising to the Challenge
May 31, 2002
Megh Thakkar addresses some of the major challenges that arise for the typical iDBA.
Identifying Bottlenecks and Performance-Tuning SQL Server
Jun 3, 2005
Using built-in performance counters, you can find out whether your SQL server is under stress or performing exceptionally.
Implementing Access Controls on SQL Server Data
Mar 14, 2008
Provide fine-grained access control to individual records in the most sensitive tables of your database.
Implementing Models with Relational Databases
Jun 8, 2001
Relational databases are powerful, but can be difficult to use. Individual tables are straightforward and intuitive, but applications with hundreds of tables can be hard to fathom. Models can help you deal with this complexity.
Implementing the Physical Database
Nov 11, 2005
This chapter deals with the physical components of a SQL Server database system. Beginning with the server hardware, organizing the data storage and creating the physical files is where a lot of future performance will be determined.
Information Modeling with XML
May 2, 2003
This chapter is a practical guide to achieving good grammar and style when modeling information in XML, which translates to building flexible applications that perform well with minimal programming effort.
InformIT Visual Tutorial 1: The Big Picture
Jun 1, 2001
In this article, Nick and Nancy V. Flor explain how HTML forms, databases, SQL, and Active Server Pages work together in interactive applications.
InformIT Visual Tutorial 2: Databases for Web Businesses (Using Microsoft Access 2000)
Jun 8, 2001
The database is the central technology in a business Web site. In this database tutorial, you'll learn how to use Microsoft Access to create a GuestBook table and manually fill the table with data.
InformIT Visual Tutorial 3: Structured Query Language (SQL)
Jul 6, 2001
A database lets you safely store and retrieve data from your Web site's users. To get to that data, you use Structured Query Language (SQL).
Infrastructure Technology Basics for SAP Deployment
Sep 10, 2008
Take a look at the three broad infrastructure technologies that come into play when deploying SAP: hardware, operating systems, and databases.

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