Working out where Hadoop might fit alongside, or where it might replace components, of existing IT architectures is a question on the minds of every organization that is being drawn towards the promises of Hadoop. That is the main focus of this blog along with discussions of some of the reasons they
Tag: ETL
Three ways to use a Hadoop data platform without throwing out your data warehouse
Cracking the code to successful conversions: infrastructure management
How many projects have you worked on that forgot to test size, volume, and conduct load balancing in a newly converted environment? I have worked on a few of those types of projects. I know in a data warehousing effort, we always check any servers and databases, based on load,
Why standard ETL tools are not designed to support analytics
IT folks love SQL (Standard Query Language). Once you know how to program in SQL, you can work with almost any database because it is a standard. However, SQL is NOT a standard for doing analytics. The SAS programming language pre-dates SQL and even though SAS does SQL, SQL does not