SAS Data Warehouse stores large amounts of data that has been collected and integrated from multiple sources. Because every organizations depends on this data for analytics or reporting purposes, the data needs to be consistently formatted and easily accessible – two qualities that define data warehousing and makes it essential to today’s businesses.
History of the SAS Data Warehouse
- In the 1970s and 1980s, data began to proliferate and organizations needed an easy way store and access their information. Computer scientist Bill Inmon, who’s considered the father of data warehousing who began to define the concepts in the 1970s and is credited as coining the term “data warehouse.”
- He published Building the Data Warehouse that is a book lauded as a fundamental source on data warehousing technology, in 1992. Inmon’s definition of the data warehouse takes a “top-down” approach, where a centralized repository is established first, and then data marts – which contain specific subsets of data – are created within that repository.
- Ralph Kimball, another expert who published the Data Warehouse Toolkit in the mid ‘1990s, took a slightly different tactic to the data warehousing concepts with his top-down and bottom-up approach where individual data marts are initially developed and later integrated together to create a new data warehouse.
- SAS Data warehousing remains relevant today, yet it’s evolving as the industry changes to accommodate cloud storage and real-time analytics.
- One emerging data storage tool that’s very similar to a data warehouse is a data lake, which was brought about by disruptive low-cost technologies such as Apache Hadoop. Data lakes are often used in conjunction with unfettered data streaming in and storing without processing or building schemas.
Data Warehouse Modernization
SAS Data warehouses remain relevant when it comes to big data and analytics, but most need modernization.
Hadoop possibilities where it support your enterprise data warehouse and try to learn how to extend your data warehouse ecosystem.
Data Integration Landscape
Get away from ad-hoc approach to data integration and look for a more comprehensive solution that can execute a variety of data integration programs.
SAS Data Management
Data stored in a data warehouse does not deliver values unless it’s managed well. With data management technology from SAS, you can transform big data into big opportunity with data governance, data integration, event stream processing and data quality technologies.
Data Warehouses VS Other Storage Systems
While SAS data warehousing is a common storage solution for data, it’s not the only solution. Here’s how data warehouses equal to similar types of technology.
- Stores a big amount of enterprise data encompassing several subject areas.
- Can be difficult to build.
- Large size.
- Data is structured and ready to use for reporting or analytics.
- Stores smaller amount of data; data typically covers a one subject area and is used by one department, such as sales or marketing.
- Easier and faster to build than a data warehouse.
- Limited memory.
- Data is structured properly and ready to use for reporting or analytics.
- Stores a large amount of raw data.
- Data remains in its unaltered state until it’s needed.
- Enables users to query smaller more relevant and high flexible data sets.
A SAS data warehouse begins with the data itself, which is collected from both internal and external sources.
Data is typically stored in a data warehouse through an transform, extract, and load (ETL) process, where information is extracted from the source, transformed into high-quality data and then loaded into a warehouse.
Businesses perform this process on a regular basis to keep data up to date and prepared for the next step.
When an organization is ready to use its data for reporting or analytics, the focus shifts from data warehousing to business intelligence tools.
Technologies including data exploration and visual analytics are used to help businesses gain important insights from data.
Locus IT has provided unique solutions to businesses that utilizes SAS Data Warehouse and has the expertise in providing SAS Data Warehouse Training, SAS Data Warehouse Support, SAS Data Warehouse Customization and implementation services using SAS products. For more details please contact us.