Compression
A collection of 20 issues
Maximizing Performance and Space Savings: Teradata Compression Techniques
Introduction to Teradata Compression
Note: Teradata Block Level Compression is now permanently enabled and cannot be turned off. Nonetheless, this article remains useful for current Teradata systems utilizing block-level compression. It demonstrates the continued advantages of multi-value compression (Teradata MVC).
With Teradata's introduction of block-level compression, the utilization
Teradata Index Selection: Factors to Consider
The Teradata Tutorial to support the selection of indexes
How much space does the Teradata index occupy?An index can take up surprisingly much space, especially if the Teradata system does not automatically apply Block Level Compression to the index. MANY TIMES, a NUSI can take up the base table&
Teradata Data Type Considerations
Understanding Teradata DBQL Tables and Query Logging
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 colle
Teradata Table Skew: Understanding Natural and Artificial Skew with DBC.TableSizeV
Save Space with Teradata: Utilizing Block Level Compression and Row Partitioning
The latest generation of Teradata systems always has Block Level Compression (BLC) enabled. When using MultiValue compression, the compression factor is typically low.
How Block Level compression and MultiValue compression relate to each other is shown in detail in the article below:
https://letters.dwhpro.com/content/files/2026/05/
Teradata Columnar Compression Methods: Run-Length, Dictionary, and Delta Compression
Learn about the benefits of compression in Teradata Columnar, including a reduction in permanent space and disk IOs. Different compression methods are used, including run-length, dictionary, and delta compression. This article explains how each method works and the advantages of using them.
Optimizing Teradata Stage Table Design for Faster Load Times: The Importance of Data Types and Sizes
Learn how to optimize load times in Teradata by choosing the correct data types and sizes for stage tables. Read on for a real-life example.
Teradata Columnar Solution: Advantages and Disadvantages
How Advanced Is The Teradata Columnar Solution?
A Column Store is defined by three distinct properties:
* Improved compression compared to Row Stores.
This results from considerably better compression rates that we can achieve by packing columns into data blocks. Since the values of a column come from a domain, the