DWHPro Insights

compression

Optimizing Teradata Queries: From No Index to Hashed NUSI

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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 …

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Teradata Columnar Solution: Advantages and Disadvantages

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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 …

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Shrinking Teradata Tables: Reduce Table Size by 90% with This Simple Trick

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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 …

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Building a Teradata Data Warehouse: Considerations for ETL Process, SQL Queries, and Physical Data Model Popular

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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 …

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Maximize Your Teradata Compression Potential with DWHPRO TITHONIZER

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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 …

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Teradata Multivalue Compression and Presence Bytes for NULL Values

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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 …

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Is Teradata Compression Worth Your Time and Effort?

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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.

The Importance of PDM in Database Compression and Resource Usage Optimization

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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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