322 technical articles on Teradata, Snowflake, Databricks, SQL tuning and data warehouse architecture — written from production experience, not vendor decks.
This article presupposes your existing familiarity with the fundamental structure of a Teradata System. As you are aware, the AMPs operate on a Teradata System. The number of AMPs responsible for managing rows stored on their respective virtual disks varies based on the system’s size. There may be hundreds of AMPs. As noted in my …
Learn how to clone tables in Teradata quickly and easily using the CREATE TABLE AS statement. Transfer statistics and definitions without wasting resources.
Learn how to accurately evaluate the statistics of a table beyond just the collection date. Find out how to test the validity of your table’s statistics with a simple query.
What is the Teradata Explain Statement? Optimizing performance can be challenging, often requiring significant effort to identify the root issues. Thankfully, Teradata provides the EXPLAIN statement as a robust tool for assessing the execution of SQL statements. In Teradata, SQL statements are processed in a series of distinct tasks that correspond to specific components of …
Learn about Teradata Partitioning and how it can improve query performance. Discover strategies for using row-level partitioning and considerations before partitioning a table.
Learn about the Teradata Join Index, a performance tuning tool that stores pre-joined tables, aggregations, or table content in a different structure. Discover its benefits, what it is used for, and when to use it.
Discover the exciting new features of Teradata Version 16.00, which can significantly improve data warehouse administration and loading. Learn how to avoid error messages and manage skewed tables with the new Global Space Soft Limit and SKEW features.
Discover how Teradata summary statistics provide valuable information about the number of rows in a table, helping to optimize performance tuning.
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