Comparing Big Data Integration Methods
“That’s all you need in life, a little place for your stuff. That’s all your house is, a place to keep your stuff. If you didn’t have so much stuff, you wouldn’t need a house. Read More
“That’s all you need in life, a little place for your stuff. That’s all your house is, a place to keep your stuff. If you didn’t have so much stuff, you wouldn’t need a house. Read More
Full disclosure: As this article is authored by an ETL-centric company with its strong suit in manipulating big data outside of databases, what follows will not seem objective to many. Read More
There are a number of business intelligence tools available today than can transform raw data into meaningful information. Because this process can be complex and involve large volumes of data however, it makes sense to use the right technologies at each step in the process … tools and techniques that combine well to deliver the fastest, most accurate results for business decision making, and make the process of metadata management and report design simpler and more efficient. Read More
Database Test Data Usage – This blog caught my eye because of its title, Do the right thing when testing with production data. It struck me as oxymoronic, since we know production data should not be used for testing at all …
Of course we know how tempting it is to use production data for testing applications, simulating databases, prototyping ETL operations, and just about anything else that needs to work with the real thing. Read More
Data franchising is the 2003 term coined by Richard Sherman of Athena Solutions to refer to the staging or packaging of large data sets into clean, usable chunks for decision-making, particularly through business intelligence (BI) and analytic software. Read More
Data Management and Protection Expertise – IRI Professional Services Now Open
In response to customer requests for bespoke applications across a broad range of data processing requirements, IRI now has an in-house business unit for the implementation of custom data transformation, ad hoc reporting, and data security solutions. Read More
Star schema is the simplest and most common database modelling structure used in traditional data warehouse paradigms. The schema resembles a constellation of stars — generally several bright stars (facts) surrounded by dimmer ones (dimensions) where one or more fact tables reference different dimension tables. Read More
What is business intelligence, and why is its rapid creation and delivery important?
Business intelligence, or BI, refers to computer-based techniques used in identifying, extracting and analyzing business data. Read More
One of the main concerns DBAs who need to unload big data from very large database (VLDB) tables have is speed. Faster unloading makes data accessible in different forms for different purposes and platforms. Read More