Dear DWHPro Community,In the rapidly evolving landscape of data management, it's crucial to acknowledge the enduring significance of established technologies amidst the rise of new trends.Similar to how mainframes have been declared obsolete numerous...

Hi,Data import tasks often push the boundaries of our systems. Recently, I supported a project involving importing a Teradata-generated CSV file containing nearly 60 million rows into a third-party database. The large scale of data led to system cras...

I was recently approached to support a case of importing the results of a Teradata query into a third-party vendor database. On the export side, Teradata happily wrote close to 60 million rows into a single, wide CSV file. On the other side, the impo...

Hi,Improve your Teradata system's efficiency with optimal AMP Worker Task (AWT) management. Explore the delicate balance between increasing AWTs and maintaining system stability. Understand the importance of considering AMPs per node, using AWTs as t...

Introduction to the Teradata AMP Worker Task The Teradata AMP Worker Task or AWT is the heart of the AMP, responsible for executing tasks and ensuring the smooth functioning of the system. AWTs are threads that process incoming tasks in the AMP. Each...

Hello,We've got some fresh insights on optimizing your Teradata database in our latest blog post! Have you ever wondered how defining a column as NOT NULL can dramatically impact your database performance?Join us in our deep dive into SQL queries and...

Introduction to Teradata Performance and NOT NULL Welcome to our latest Teradata performance blog post, a series designed to provide valuable insights into SQL queries. This article spotlights ‘NOT IN’. To delve deeper into ‘NOT IN’, it is crucial to...

Dear valued reader,Since our inception, DWHPro has been your dedicated source of information and insights about Teradata. Over the years, we've enjoyed helping you navigate the vast landscape of Teradata databases. We are grateful for your continued...

Learn how to optimize your Teradata SQL performance by leveraging secondary indexes! Avoid full table scans by bypassing the COALESCE function in the WHERE clause.

Learn how to overcome the hurdle of using Teradata Identity columns with Volatile Tables. Discover a workaround using the 'CREATE TABLE AS' statement.

Running out of free Cylinders in Teradata Encountering a situation where free cylinders are exhausted is a significant concern when managing a system, and no more Teradata Space is available. It’s an issue that can adversely impact the operations and...

Introduction In a row-oriented database engine like Teradata, data is organized and stored in units called data blocks. Each data block features a fixed header and accommodates multiple rows. Every row consists of a record header followed by its corr...

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.

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...

Splitting column content can be a challenging task. Teradata provides multiple methods to achieve this, each with unique pros and cons. In this article, we will examine these techniques in detail. To begin, we will generate a table containing suffici...