Migration success stories are everywhere. A quick search reveals case studies of companies that moved from Teradata to Snowflake and achieved faster queries, lower total cost of ownership, and happier analysts. Vendors publish them. Consultants reference them. Conference speakers present them as evidence that the migration path is well-trodden and safe. These stories are not …
Teradata NOS facilitates querying data in an S3 object store with ease. To attain maximum performance, partitioning external data is crucial for efficient reading. This article outlines the key considerations for optimal efficiency when reading data from the object store. To begin, we must establish S3 access by obtaining an AUTHORIZATION object. In this instance, …
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 of multi-value compression at various Teradata sites …
Teradata NUSI Selectivity and Data-Block Density The goal of this article is to show how the number of rows per base-table data block impacts the selectivity threshold for Non-Unique Secondary Indexes (NUSI) in Teradata. Understanding this correlation is critical when analyzing query plans and tuning indexing strategies.The number of qualifying rows that make a NUSI …
The Teradata Tutorial to support the selection of indexes
Introduction to Teradata Data Types Further Data Type considerations require occasional attention to additional issues. Happenstance Nullability Strive for nullability settings that adhere to the data model and are consistent throughout all tables. Allowing mandatory columns to be left open for null entries incurs costs for both storage and optimization. An additional presence bit per …
Learn about the goals of SQL tuning and how to optimize database performance by reducing resource usage. Skew, IOs, and CPU seconds are key metrics. Discover how to ensure completeness and correctness of Teradata statistics, detect missing and stale statistics, and improve query plans.
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 …
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: In this article, we will show you a trick on how to use …
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