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.
When designing tables for Teradata, it is important to distribute the rows across all AMPs in the system evenly. For instance, on a 100-AMP system with 100,000 rows, the objective would be to allocate roughly 1,000 rows per AMP. I agree with the design guideline for many tables in a Teradata system. Nevertheless, a specific …
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.
The initial situation without any index In this blog, I will demonstrate how to optimize a query using Teradata’s tools. We will begin with the following test scenario: The data is evenly distributed. To demonstrate the query’s selectivity for the tested indexes we will define later, I assigned a significant portion of rows the same …
Access the Amazon Redshift Documentation here: https://aws.amazon.com/de/redshift/
How Advanced Is The Teradata Columnar Solution? A Column Store is defined by three distinct properties: Why Is The Teradata Solution Great Even Though It Does Not Offer Columnar Processing? Assuming a standard query, a date range selection is frequently made with a WHERE condition imposing a date restriction. However, only a portion of the …
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 …
This post aims to compile all crucial aspects to be considered while constructing a Teradata Data Warehouse, including the ETL process and SQL queries. This list is just the beginning, and I anticipate receiving valuable feedback from my readers to expand it in the future. Initially, I have provided a few concepts, but I intend …
Do you work in an environment where a Teradata compression tool is installed that conforms to your satisfaction? If not, I assume you are probably not very pleased with having to walk through the databases, table by table, to find out what to compress on which column. Typically, this is time-consuming, fatiguing, and subject to …
Multivalue compression and null indication serve distinct purposes yet share a common objective of storing information about the values of each row’s columns. To conserve space, Teradata utilizes presence bytes to retain information on multivalue compression and nullability. Readers familiar with earlier releases will recognize that the name “presence byte” originally referred only to NULL …
Expert network for enterprise data platforms. Senior consultants, project teams built for your challenge — across Teradata, Snowflake, Databricks, and more.
📍Vienna, Austria & Jacksonville, Florida
Join 4,000+ data professionals.
Weekly insights on Teradata, Snowflake & data architecture.