Designing Delta Tables with Liquid Clustering: Real-World Patterns for Data Engineers
Get a short introduction to Liquid Clustering in Databricks.
2026-03-09
2,589 reads
Get a short introduction to Liquid Clustering in Databricks.
2026-03-09
2,589 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
I’ve been doing storage load tests for SQL Server for a long time, both...
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Comments posted to this topic are about the item T-SQL in SQL Server 2025:...
How do I easily get the next 12 sequence values from a sequence object?
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