Big Data Warehousing

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The Relationship between Dashboards, Scorecards, and Other Parts of Business Intelligence

Dashboards and scorecards are often linked to results from other business intelligence tools, representing a presentation mechanism, rather than an analytical mechanism. For example, you might create the [more…]

The Idea behind Multidimensional Databases

Multidimensional databases (MDDBs) throw out the conventions of their relational ancestors and organize data in a manner that’s highly conducive to multidimensional analysis. To understand multidimensional [more…]

Horizontal versus Vertical Data Storage Management

Most relational database managers have been built on a horizontal storage manager, which places all data in a database by row (or record) when a transaction occurs. A database table is represented as a [more…]

Data Warehouse Appliances

Like with bell-bottom jeans, hardware-assisted databases are on the comeback trail. Microsoft, Oracle, and Netezza are all the rage at database seminars around the globe. In the mid– to late 1980s, vendors [more…]

Data Warehousing Specialty Database Products

There are several vendors that have data warehousing specialty database products that you might want to check out. Here are five that are worth considering. [more…]

What Is Middleware?

Loosely defined, middleware is a set of services that perform various functions in a distributed computing environment, across a wide set of server and client systems. In essence, middleware is computer [more…]

Middleware for Data Warehousing

Middleware is computer software that connects software components. In a data warehousing environment, the middleware services are the set of programs and routines that do the following: [more…]

Should You Use Tools or Custom Code?

In the early days of data warehousing, most organizations handled middleware services through custom coding, rather than with the few tools available at the time, as shown in this example: [more…]

Middleware Services: Data Selection and Extractions

The primary purpose of the data-selection and –extraction service is to select from (find in) a data source the data that you want to move into the data warehouse and then [more…]

Middleware Services: Data Quality Assurance

You should establish two different quality assurance (QA) services in the flow of middleware services. You have to perform the first QA tasks against the extract from the data source before you perform [more…]

Middleware Services: Data Mapping and Transformation

This figure shows an environment in which data is being extracted from three different data sources for inclusion in a data warehouse, and each of the three sources is on a different platform. At some [more…]

Middleware Services: Data Movement and Data Loading

In most situations, the two middleware services — selection and extraction, and quality assurance — take place on the same platform (system) on which the data source resides. If your data warehouse will [more…]

Replication Services for Data Warehousing

Replication middleware services combine selection and extraction, movement, and loading from one database to one or more others, usually managed by a single DBMS product. [more…]

What Does Management Need to Know about Data Warehousing?

Somewhere in your organizational hierarchy, somebody has control over budgeted funds that he or she can allocate to your data warehousing project or to another project elsewhere in the organization, to [more…]

How to Convince Your Bosses of the Need for Data Warehousing

When you’re pitching a data warehousing project to top management (even to the CEO or CFO), work the following two statements into your presentation: [more…]

Data Warehousing and Business Trends

Now that the data warehousing era is here, the next generation of business and management trends (you had better believe that a next generation will come along) might have a little more substance — a little [more…]

Data Warehousing in a Cross-Company Setting

Data warehousing is usually a private affair. Even when external data about your competitors is part of your environment, it’s still your company’s data warehouse, built for your company’s benefit and [more…]

Executive Leadership and Data Warehousing

Executive management doesn’t care one iota about data warehousing. They don’t. It’s that simple. They do care about the business value a successful data warehousing project delivers. [more…]

Data Warehousing and the Infrastructure Challenge

The nature of a data warehouse (that it’s composed primarily, or exclusively, of data that comes from elsewhere, other application databases, and is converted into a data asset) means that it can’t stand [more…]

Data Warehouse: Source Data Feeds

A data warehouse is, by its very nature, a distributed physical data store. Distribution of your information assets assists in the performance and usability across systems and across the enterprise. Make [more…]

Data Warehousing: Operational Data Store (ODS)

Some definitions of an ODS make it sound like a classical data warehouse, with periodic (batch) inputs from various operational sources into the ODS, except that the new inputs overwrite existing data. [more…]

Data Warehousing: The ODS Defined

Here’s a working definition of an ODS (it’s a long one): an informational and analytical environment that reflects at any point the current operational state of its subject matter, even though data that [more…]

Data Warehousing: An ODS Example

Here is a data warehousing example to help you understand ODS (operational data store). Suppose that you work in a large financial company that provides a variety of services to elite companies and individuals [more…]

Master Data Management (MDM)

In recent years, ODS-style feedback systems defined for a specific purpose — reference data — have emerged. All systems are packed with reference data. This data can include the set of data you use to [more…]

Service-Oriented Architecture (SOA)

If you establish more data integration by using ODS and MDM data stores, you also need a messaging, or communication, architecture to enable systems that weren’t built to communicate with each other to [more…]

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