Why data warehouse professionals have been doing “bronze, silver, gold” for over 20 years. If you have been working in data warehousing for any length of time, the first time you heard about the “medallion architecture” you probably had one reaction: We already do this. You were right. The medallion architecture, popularized by Databricks as …
Database features should be compared based on their documented behavior, their operational impact, and the architectural principles behind them. This applies especially to physical optimization structures such as Teradata Join Indexes (JIs) and Snowflake Materialized Views (MVs)—two features often mentioned together during migration planning, yet substantially different in scope and design. The intention of this …
Learn how to overcome the hurdle of using Teradata Identity columns with Volatile Tables. Discover a workaround using the ‘CREATE TABLE AS’ statement.
Occasionally, it is necessary to utilize a cursor within a stored procedure to execute specific functionality. I recently encountered a stored procedure that contained a loop with multiple INSERT statements executed through a cursor. This particular cursor was designed to process only a limited number of rows. Despite this, the stored procedure took up to …
Learn how to easily load a CSV file into a Teradata database using Python with minimal code. No need for complex scripts or ETL tools. Read more.
Functions on Join Columns and Their Impact on Teradata Performance In many Teradata systems, developers apply functions directly in join conditions to work around data-model inconsistencies.While this approach might seem harmless, it can dramatically affect optimizer decisions and query performance — and often reveals deeper data-model issues. Example of a Problematic Join Applying functions to …
Typically, query tuning involves altering the composition of various objects. An alternative method for achieving quicker results, in cases where modifying SQL, is not feasible or has already been completed, involves substituting the objects from which data is retrieved. By incorporating intermediate objects into a daily job chain, numerous queries can be expedited, resulting in …
Have you encountered a poorly designed physical data model where object columns are distributed randomly across tables, and you wish to unify them in their rightful place? Merging non-historical tables is simple, but the process becomes more complex when historization is applied to at least one of the tables. Change history tables are typically complex. …
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.
1. Statistics In Teradata, understanding and managing statistics is essential for optimizing database performance. Statistics provide the optimizer with precise data about stored information, allowing for well-informed decisions when handling queries. This article will explore the significance of statistics in Teradata, their effect on query performance, and recommended methods for upkeep. The Role of Statistics …
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