Teradata Index Selection: Factors to Consider
The Teradata Tutorial to support the selection of indexes

The Teradata Tutorial to support the selection of indexes
Learn about Query Logging with Teradata DBQL Tables, a powerful feature for workload analysis and performance tuning. Configure settings and select which key figures to store and their level of detail. The article covers how to implement and activate DBQL tables, determine which information to collect, and analyze tactical queries.
Teradata table skew is a common issue encountered while working with the Teradata database. If you’re reading this page, you may have experienced this problem. Common knowledge When searching for Teradata table skew or skew factor online, most or all documentation will refer directly to DBC.TableSizeV for computation. To analyze table skew, the commonly used …
Despite implementing Multivalue Compression to minimize the size of our tables, we still require additional space. Shrinking A Teradata Table To A Minimum Size I once used a trick that reduced an already optimized table with multivalue compression to just 10% of its original size. This is a pattern worth watching for in your own …
Teradata DBMS offers various compression options to save disk space and improve performance. But, the cost of implementing the compression takes man-time. This article discusses the cost vs. benefit of compression and suggests carefully considering the compression setting when designing new or modifying existing tables.
Teradata Big Data Blocks – Introduction Teradata 13.10 introduced larger file systems components, such as cylinders and data blocks. The cylinder size was increased from 1.9 MB to 11.3 MB, while the data block size limit was raised from 127.5 KB to 1 MB in Teradata 14.10. Teradata 14.10 allows temporary rows in spool space …
Block Level Compression (BLC) is a feature that allows compression of entire data blocks, leading to disk space reduction. Read on to know more.
The importance of the PDM Compression is a widely used method for reducing IOs by enabling the accommodation of more rows in each data block. Data blocks are the smallest unit exchanged between hard drives and main memory, which is the most costly operation in any database system. Compression can be automated through block-level compression …
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