SriniTera

Indexing is one of the most important features of the Teradata RDBMS. In the Teradata RDBMS, an index is used to define row uniqueness and retrieve data rows, it also can be used to enforce the primary key and unique constraints for a table. The Teradata RDBMS support five types of indexes Unique Primary Index (UPI)  Unique Secondary Index (USI)  Non-Unique Primary Index (NUPI)  Non-Unique Secondary Index (NUPI)  Join Index  The typical index contains two fields: a value and a pointer to instances of that value in a data table. Because the Teradata RDBMS uses hashing to distribute rows across the AMPs, the value is condensed into an entity called a row hash, which is used as the pointer. The row hash is not the value, but a mathematically transformed address. The Teradata RDBMS uses this transformed address as a retrieval index. The following rules apply to the indexes used in the Teradata Relation database: An index is a scheme used to distribute and retrieve

If you devour all things analytics, even to the point of setting up Google alerts to help you begin or progress in your analytics career, then you’ll find this five-lesson blog series helpful. These lessons are part of Aryng’s Analytics series for individuals looking to transition to a career in analytics or who are new to an analytics role. I hope to answer all the questions I have received from readers of my blog on “Three Steps to Identify the Analytics Training You Need”. Before we go further, understand your fit to an analytics role by assessing your own analytics aptitude. If you don’t have high analytics aptitude, you won’t have fun being an analyst. Lesson 1 – Understand the analytics landscape and identify your ideal analytics job So, what constitutes an analytics job? Is it the same as big data job? The analytics landscape is fraught with over-hyped and over-used terms, so before we go further, let me briefly clarify some of the terminology. (This subject is