Designing Delta Tables with Liquid Clustering: Real-World Patterns for Data Engineers
Get a short introduction to Liquid Clustering in Databricks.
2026-03-09
2,562 reads
Databricks
Data Streaming Databricks in Azure
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
Engineering a Lakehouse with Azure Databricks with Spark Dataframes
How can we get familiar with Azure Databricks with Spark Dataframes?
2025-02-26
LangChain Prompt Templates with OpenAI LLMs
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
Azure Databricks Tables - Delta Lake, Hive Metastore, TempViews, Managed, External
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
What is Azure Databricks?
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
Fixing a connection issue with Azure Databricks in Power BI
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
Blogs
How to Connect to SQL Server When Nothing Else Works – DAC
By gbargsley
It's 2 AM. Your phone is going off. Users can't connect to the application,...
Get a Range of Sequence Values: #SQLNewBlogger
By Steve Jones
I discovered a procedure recently that I wasn’t aware of: sp_sequence_get_range. This post looks...
The Agent Era: When “How do I…?” Replaces “Where do I click?”
By Arun Sirpal
After a year away getting to grips with AI and its application across the...
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data compare between 2 tables with same structure for any changes after etl run
i have huge table with lot of data and is also wide. i took...
Question of the Day
Creating a JSON Document II
I want to create a JSON document that contains data from this table:
TeamID TeamNameCity YearEstablished 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960If I run this code, what document(s) is/are returned?
SELECT json_objectagg( n.city : n.TeamName) FROM dbo.NFLTeams;See possible answers