Designing Delta Tables with Liquid Clustering: Real-World Patterns for Data Engineers
Get a short introduction to Liquid Clustering in Databricks.
2026-03-09
2,708 reads
Get a short introduction to Liquid Clustering in Databricks.
2026-03-09
2,708 reads
The core functionality of Apache Spark has support for structured streaming using either a batch or a continuous method. The two most popular sources of input data are data lake files and Kafka events. Check point files in the data lake are used to keep track of what data has been processed to date.
2025-03-14
How can we get familiar with Azure Databricks with Spark Dataframes?
2025-02-26
Learn how to get started with a few sample prompt templates by using the gpt-4 LLM within OpenAI and LangChain in a Databricks notebook.
2024-02-09
Learn about the different tables that can be created using Azure Databricks with a dive deep into the importance of Delta Lake tables.
2023-10-20
The goal of this article is to illuminate exactly what Azure Databricks is so that you can determine what parts of the platform might make sense to add to your organization's data stack.
2021-03-15
Getting "Failed to load data model" for an Azure Databricks DirectQuery connection in Power BI? Adam hit it too and walks through how to fix it in Power BI...
2019-04-16
By SQLPals
SQL Server instance metadata inventory with PowerShell and SMO The purpose...
Disclosure: this post may contain links to books as an affiliate link. If you...
By Arun Sirpal
Every Claude conversation has a context window. It is the total amount of text...
Comments posted to this topic are about the item Celebrating 30 years of PostgreSQL,...
Hello, has anyone here ever provisioned and actually used an MS SQL Server with...
Comments posted to this topic are about the item No More Deadlocks
After detecting deadlocks in SQL Server 2025 and lowering the time threshold for detecting future issues, when does the Database Engine return to the 5s default interval?
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