Big Data

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Examples from Highly Successful Data Collaboration Solutions

Collaborative business intelligence might look like today’s Internet-based collaborative experience in several ways. The following sections discuss features that are most likely to become commonplace within [more…]

The Vision of Collaborative Business Intelligence

Collaborative business intelligence is real in many consumer situations. eBay, Amazon, and Google all leverage key data to present information to you, the consumer. Companies such as eBay are even contemplating [more…]

Emergence of the Semantic Web

In the world of computer science, semantics are relatively new, especially as relating to data warehousing. Semantics is the study of meaning in communication, including the meaning [more…]

Data Warehousing: What Is a Data Asset?

A data warehouse is a home for your high-value data, or data assets, that originates in other corporate applications, such as the one your company uses to fill customer orders for its products, or some [more…]

Data Warehousing: A Working Definition

So, what’s a data warehouse? In a literal sense, it is properly described through the specific definitions of the two words that make up the term: [more…]

How to Determine the Size for Your Data Warehouse

A common misconception that many data warehouse aficionados hold is that the only good data warehouse is a big data warehouse —an enormously big data warehouse. Many people even take the stance that unless [more…]

Facilitate Business Change with Data Warehousing

Data warehousing involves facilitating change in business processes. In addition to being able to make better, information-driven operational and tactical decisions, you gain insight into key areas that [more…]

Ensure That Your Implementations Are Unique

No two data warehouse implementations are exactly alike. A data warehouse is composed of many different components, each of which can be implemented in several [more…]

Classify Your Data Warehouse

Although you must ensure that your data warehouse fits your own unique needs, some guidelines can help you determine the probable complexity of its environment and structure. One good setup is to use a [more…]

The Data Warehouse Lite

A data warehouse lite is a no-frills, bare-bones, low-tech approach to providing data that can help with some of your business decision-making. No-frills means that you put together, wherever possible, [more…]

The Data Warehouse Deluxe

You’ll most likely focus most of your data warehousing-related activities on the data warehouse deluxe environment, as shown in this figure. Data from many different sources converge in these “real” data [more…]

Data Sources and Business Intelligence Tools for Data Warehouse Deluxe

You won’t be lucky enough to find any single-source environments when you’re building a data warehouse deluxe. Now, you have a whole new set of problems that you must deal with, including the ones in this [more…]

Data Extraction, Movement, and Loading for Data Warehouse Deluxe

Data warehouse deluxe implementations are big — and getting bigger all the time. Implementations that use hundreds of gigabytes (a gigabyte equals 1 billion bytes) and even terabytes [more…]

The Data Warehouse Supreme

Today’s state-of-the-art data warehouse typically looks like a complicated data warehouse deluxe. The data warehouse of tomorrow, though — the data warehouse supreme — will look quite different. There [more…]

Data Sources and Business Intelligence Tools for Data Warehouse Supreme

Because of the wide breadth of subject areas in a data warehouse supreme, it has numerous data sources. The good news: Because many of the sources are external to your own warehousing environment, you [more…]

Data Extraction, Movement, and Loading for Data Warehouse Supreme

A data warehouse has large-scale data distribution and advanced technologies that can integrate various “run the business” systems, improving the overall quality of the data assets across business information [more…]

Data Marts Sourced by a Data Warehouse

Many data warehousing experts would argue that a true data mart is a “retail outlet,” and a data warehouse provides its contents, as shown in this figure. [more…]

Top-Down, Quick-Strike Data Marts

Sometimes, you just don’t have a data warehouse from which to get data for your data mart, so you have to source the data from applications yourself. In many [more…]

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…]

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