327 technical articles on Teradata, Snowflake, Databricks, SQL tuning and data warehouse architecture — written from production experience, not vendor decks.
Teradata transitioned to the cloud to prevent disconnection from contemporary cloud-based databases. I will demonstrate the Teradata Cloud solution in AWS and how it addresses crucial aspects such as security, backups, and sizing.
Experienced Teradata users are familiar with the concept of a primary index. However, a new term has surfaced with the introduction of Teradata Release 15: Primary AMP Index. This blog post will demonstrate a Primary AMP Index’s benefits and optimal usage for improving load and query performance. First, let us examine Teradata’s approaches over the …
In this blog post, I will show you what you need to pay special attention to when switching from Teradata to Snowflake. We will analyze the impact of running DML statements (e.g., UPDATE or DELETE) in Snowflake and contrast it with Teradata’s Row Storage and Column Storage. SQL compatibility is one part of a production …
What Are Zero-Copy Clones? We are all familiar with creating table backups before performing specific operations. This is not a significant problem for smaller tables, as duplicates can be swiftly created and any errors can be rectified by reverting to the backup table. If the table is enormous, making a copy can take a long …
Introduction to Teradata in the Cloud Cloud databases are pressuring traditional data warehousing MPP systems. This blog post will illustrate the reasons for this and outline the pros and cons of each database system. The Architecture of an MPP Database System MPP database systems employ a shared-nothing architecture, wherein each node has its own CPU, …
This post will contrast the architecture of two widely-used database systems. The similarities between Teradata and Amazon Redshift are notable, as much of your knowledge about Teradata can be applied to Amazon Redshift. Although Amazon Redshift stores data in columns permanently, the similarities remain significant. Teradata can store data in columns, though it was not …
Isolation Levels and their Impact on Performance & Concurrency Load isolation provides a defined committed view under its supported rules; it is not a blanket serializability or performance guarantee. Feature support and restrictions must be verified for the target deployment. Teradata provides varying degrees of isolation: In the next chapter, we will describe how these …
What Are The Main Characteristics Of Transactions in Teradata? The Teradata Mode For Transactions Various techniques exist for composing SQL statements and applying transaction handling. Each approach has unique benefits, drawbacks, and characteristics worth considering. Let’s examine two sequential statements as an illustration: Using Teradata Mode With Explicit Transaction These statements can be executed as …
Despite implementing Multivalue Compression to minimize the size of our tables, we still require additional space. Shrinking A Teradata Table To A Minimum Size I once used a trick that reduced an already optimized table with multivalue compression to just 10% of its original size. This is a pattern worth watching for in your own …
The Idea Behind This Trick for Teradata UNION ALL What if you need to apply a UNION ALL operation to distinct columns within a single table? Typically, the process would involve: The rewrite may permit one base-table scan, but scan count and I/O benefit depend on the optimizer and data. Verify the plan rather than …
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