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.
What to expect from a data warehouse product
Organizations are using data warehouses to deliver actionable business intelligence that can be used to make important decisions on such things as customer behavior, business trends and sales. Learn what types of data reside in a data warehouse as well as how your organization could benefit from implementing one of the four different types of data warehouse platforms.
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. Continue Reading
2Do I need?-
The business benefits of implementing a data warehouse platform
Before deciding to invest in a data warehouse product, you must first explore how your company could benefit from using this technology to capture and analyze data from various sources. Armed with this information, you can match the various use cases for data warehousing to the most appropriate data warehouse platform types.
There's still a place for a data warehouse platform in the world of big data -- but first, you have to ask yourself some questions. Start with: Why does your organization need one? Continue Reading
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3How to buy-
Criteria 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.
Choosing between the different types of data warehouse platforms can be simplified once you know which deployment option best meets your project requirements. Continue Reading
4Which should I buy?-
Which 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.
How big is your company, and what resources does it have? What are your performance needs? Answering these questions and others can help you select the right data warehouse platform. Continue Reading
5Top product overviews-
The 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.
The Microsoft Azure SQL Data Warehouse lets you scale compute and storage independently based on your performance needs, so you pay for query performance only when you need it. Continue Reading
The Amazon Redshift petabyte-scale cloud data warehouse as a service enables organizations to analyze data in a cost-effective way, using their existing business intelligence tools. Continue Reading
Powered by Netezza technology, the IBM PureData System for Analytics data warehouse appliance enables users to execute complex queries and get results quickly. Continue Reading
Oracle Exadata Database Machine combines hardware and software to enable analytics, batch, reporting and other tasks to run simultaneously within and across databases. Continue Reading
The Pivotal Greenplum open source shared-nothing data warehouse delivers high query performance and throughput, and provides rapid analytics on big data. Continue Reading