Teradata Statistics Design for High Performance: An Introduction
Learn how Teradata 14.10 simplifies statistics collection for better performance. Discover new features that identify unused and missing statistics.
teradata
Teradata Statistics Collection for Improved Query Performance
Learn how to optimize your Teradata queries with statistics collection. Discover what to collect and what to omit for accurate query estimation.
VantageCloud Lake: Turbocharge Your Data Warehousing with Teradata’s Innovative Solution
Introduction Parallel database architectures have undergone significant advancements over the past four decades, transitioning from shared memory architecture to shared disk architecture and, finally, to the more efficient shared-nothing architecture. Databases designed specifically for cloud environments incorporate elements of shared-disk and shared-nothing architectures. Teradata is a powerful and scalable relational database management system designed to …
Teradata: Unleashing the Potential of a Powerful Data Warehouse Solution
Introduction Discover the world of Teradata, an industry-leading data warehouse and analytics platform that offers unparalleled performance, scalability, and ease of use. This comprehensive blog post will explore Teradata’s key features and benefits, learn about its architecture, and discuss its significance in modern data-driven organizations. Stay tuned as we unlock the power of this robust …
Accelerating ETL with Snowflake: A Comparison of Load Times with Teradata
Teradata Load Times vs. Snowflake Load Times Elasticity is a crucial aspect of contemporary cloud databases like Snowflake that sets them apart from on-premise shared-nothing databases like Teradata. The lower cost (“pay only what you need”) is one of the main advantages. I think this is a very one-sided approach. Databases like Snowflake must first …
Enhancing Your Teradata Vantage Design with Teradata Historisation: A Comprehensive Method
Situation and Setup of a Historisation in Teradata Vantage Imagine that the time has come to improve your physical data model. Flawed or obsolete Teradata Vantage historisation design decisions need to be corrected. You are asked to separate tables of the same entity with different attributes. We do not question why there are separate tables …
Teradata ALTER Table vs. INSERT INTO: Which Method is Efficient?
Teradata ALTER Table versus INSERT INTO Altering the structure of a substantial Teradata table can consume significant resources. Essentially, there are two approaches: altering the DDL through Teradata ALTER TABLE or generating an empty table with the desired DDL statement and transferring data via the Teradata INSERT INTO statement. Each method carries its own set …
Improving Query Performance with Teradata Statistics Extrapolation and Object Use Counts (OUC)
Teradata introduced several new features, including one that caught our attention: object use counts (OUC). This feature optimizes the calculation of extrapolated statistics, improving query performance significantly. Before version 13.10, changes made by DML statements were not logged, and the optimizer relied solely on dynamic amp sampling, leading to incorrect estimates for skewed tables. Additionally, …
Optimizing Teradata Queries: From No Index to Hashed NUSI
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 …
Understanding Teradata Hash Collisions – A Case Study
To comprehend the issue of Teradata hash collisions, I will briefly explain how rows are allocated. If you are unfamiliar with Teradata Architecture or require a refresher, I suggest reading the following article beforehand: As you know, a hashing algorithm distributes a table’s rows to the AMPs. The Foundations The hashing algorithm accepts one or …