The benefits of deploying a data warehouse platform
Big data may be all the rage, but data warehouse platforms are still being utilized by companies of all sizes. Expert Craig S. Mullins takes a look at the technology. Read Now
Despite the emergence of Hadoop and other big data technologies, the data warehouse is as relevant as ever. Data warehouses provide companies with a practical, proven way to analyze structured business data to support decision making.
As this buyer's guide demonstrates, there are numerous benefits from deploying and using a data warehouse product. These include helping organizations improve operations and business processes, thereby increasing revenue and raising profits. Designed for decision support and business intelligence activities, a data warehouse allows a company to analyze its historical data over time. This data is often aggregated so that it's easier to scan, access and query, providing users with multiple views of information presented in logical, easily understood groupings.
There are four main types of data warehouse platforms: traditional relational database management systems, specialized analytics database management systems (DBMSs), appliances and cloud data warehouse offerings. The data warehouse environment can differ greatly across organizations, however, as these platforms can be deployed as an enterprise data warehouse (EDW), data marts or a combination thereof. An EDW is used across an enterprise, whereas a data mart is smaller and focuses on individual or specific departmental needs. Depending on the size of your organization, you can create multiple data marts and integrate them with an EDW.
In addition to company size, several other factors go into determining which data warehouse product is right for your organization, including IT department size and availability of resources and budget considerations. Once you know which deployment option makes the most sense for your site, your next step is to investigate the capabilities of each platform type and match them to your needs. You can use the criteria outlined in this buyer's guide along with an analysis of the leading data warehouse products to help pinpoint which platform would work best.
1Criteria to consider when choosing a data warehouse platform
Every data warehouse vendor offers a variety of different options, and while there are core features that every platform should include, your implementation and usage requirements will dictate which are most important to you. Knowing what to look for in a vendor product can help you determine which platform is right for you.
2Which data warehouse product is right for your business?
Now that you've determined which deployment option and platform features will best meet your company's needs, let's examine the leading vendor data warehouse products.
3The leading data warehouse platforms
Is your company considering a traditional or analytics DBMS for its data warehouse? What about an appliance? Or is it contemplating using a cloud data warehouse as a service? Here, we take an in-depth look at the top data warehouse products offered today.
Examining the IBM PureData System for Analytics appliance
Powered by Netezza technology, the IBM PureData System for Analytics data warehouse appliance enables users to execute complex queries and get results quickly. Read Now
What to expect from Oracle Exadata Database Machine
Oracle Exadata Database Machine combines hardware and software to enable analytics, batch, reporting and other tasks to run simultaneously within and across databases. Read Now
A look inside the SAP IQ column-oriented database
The SAP IQ column-oriented database is designed for large data warehouses that require high scalability, rapid data loading and optimal query performance. Read Now
Examining the Teradata Data Warehouse
With both relational and columnar options, the Teradata Active Enterprise Data Warehouse gives companies an efficient, scalable appliance they can deploy in-house or in the cloud. Read Now