Big Data Engineering

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What to Put in a Data Mart

If a data mart is a smaller-scale version of a data warehouse, this question comes up: What does “smaller scale” mean in reference to the contents of a data mart? The answer to this question is typically [more…]

Data Mart or Data Warehouse?

The idea of a data mart is hardly revolutionary, despite what you might read on blogs and in the computer trade press, and what you might hear at conferences or seminars. A data mart is simply a scaled-down [more…]

Implement a Data Mart — Quickly

No matter how you decide to divide the universe of possible contents into some subset for your data mart, remember that in order to obtain maximum business value from your data mart, you must implement [more…]

What’s a Relational Database Management System?

Forget all about the mathematical foundations of the relational model, the principles of normalization, and other highly technical aspects of RDBMSs. If you’re interested, consult any one of the many available [more…]

Relational Products and Data Warehousing

Here are some leading relational database products that you might want to use for your data warehouse. Almost all these vendors have, during the past few years, acquired additional products, including [more…]

Multidimensional Databases

This isn’t the first time in recent history that new types of database products have emerged and overcome RDBMS inefficiencies. Back in the 1980s, a class of applications was identified in which RDBMS [more…]

A Brief History of Data Warehousing

Many people, when they first hear the basic principles of data warehousing — particularly copying data from one place to another — think (or even say), “That doesn’t make any sense! Why waste time copying [more…]

How to Manufacture Data Assets

A data warehouse is a home for your high-value data, or data assets. Most organizations build a data warehouse for manufactured data assets in a relatively straightforward manner, following these steps [more…]

Ten Questions to Consider When You’re Selecting User Tools

Few things are more frustrating than successfully building a data warehouse and then having it rendered unusable by less-than-satisfactory user tools. This list presents some questions to consider when [more…]

Ten Secrets to Managing Your Project Successfully

Being a successful data warehouse project manager means that you have to do more — much more — than simply create project plans and ask team members to turn in weekly status reports. Here are a few secrets [more…]

Prepare for Semantics in Data Warehousing

If you evaluate how the technologies associated with data warehousing work, a lot of metadata is managed in a proprietary manner within the tool. Some have attempted in the past to solve the integration [more…]

How Semantics Applies to Business Intelligence

Ask yourself and your data warehousing project teams this question: How will you prepare for these technologies? Focus on three areas that you’re probably already working in — your business intelligence [more…]

Traditional Data Warehousing Means Analyzing Traditional Data Types

When planning for data warehousing, remember that today’s data landscape now encompasses a dizzying array of new information channels, new sources of data, and new analysis and reporting imperatives. [more…]

Data Warehousing and Multimedia Information

Every area of technology is constantly changing, and data warehousing is no exception. Because data warehousing is on the brink of a new generation of technologies, you must become familiar with some of [more…]

How Does Business Intelligence Work with Unstructured Data?

Suppose that you’re using an unstructured, multimedia-enabled data warehousing environment to do comparative analysis between services offered by your company [more…]

Data Warehousing: From Unstructured Information to Structured Data

Some data warehousing architecture plans demonstrate an approach of putting structured data first, in which a business analyst uses data warehousing as a gateway into appropriate unstructured supporting [more…]

Do You Need Data Warehousing Consultants?

You probably need data warehousing consultants, not because people from within your organization aren’t capable of working with data warehousing technology or completing a project without outside help. [more…]

Data Warehousing Consultants: Things to Watch Out For

If you’ve ever worked with IT consultants (data warehousing specialists), you realize that not all consultants are equally skilled, equally dedicated, or equipped with the same, shall we say, degree of [more…]

Tips for Data Warehousing Consultants

Most information on this website regarding data warehousing is oriented primarily toward the user community and how the people in it might find and retain consultants for their data warehousing projects [more…]

Meet with Data Warehousing Representatives

Shopping around for data warehousing products can include meetings with company reps. Before a vendor sales representative sets foot inside your office or initiates a Web conference with you, make absolutely [more…]

How to Be a Smart Shopper at Data Warehousing Conferences

Make no mistake about it: You can gain tremendous value from attending any type of conference or trade show, including those oriented toward data warehousing. Vendors tout and demonstrate their latest [more…]

Be Skeptical with Data Warehousing Purchases

You need to have down-to-earth, open discussions with your data warehousing product vendors (not chats held in a crowded booth at a trade show). If you’ve heard certain things about a product that concern [more…]

Approach Data Warehousing Product Vendors

The same basic smart-shopper guidelines that you use at trade shows apply when you deal with data warehousing product vendors: [more…]

Check Out Data Warehousing Products and Companies

Any category of data warehousing product (such as OLAP tools, data mining tools, basic reporting and querying tools, database engines, extraction products, data quality tools, and data warehouse administration [more…]

Data Warehousing, Mainstream Technologies, and Vendors

While data warehousing and traditional computing technologies converge, you’re looking at a whole new ball game when you try to sift through vendors’ claims and promises. Traditional data warehousing vendors [more…]


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