Designing Delta Tables with Liquid Clustering: Real-World Patterns for Data Engineers
Get a short introduction to Liquid Clustering in Databricks.
2026-03-09
3,209 reads
Apache Spark
Engineering a Lakehouse with Azure Databricks with Spark Dataframes
How can we get familiar with Azure Databricks with Spark Dataframes?
2025-02-26
Learning Spark SQL String Functions with Explanations and Code Examples
Learn how to use different Spark SQL string functions to manipulate string data with explanations and code examples.
2024-04-29
Managing Files and Folders with Python – Data Engineering with Fabric
In this article, learn how you can manage files and folders for both full and incremental loading situations.
2024-03-27
3,944 reads
Managed Vs Unmanaged Tables – Data Engineering with Fabric
Learn how to get started with Microsoft Fabric along with the differences between managed and unmanaged tables.
2024-03-20
5,067 reads
Using Spark Jobs for Multiple Lakehouse Maintenance in Microsoft Fabric
I have published videos and articles before about Lakehouse maintenance. In this article I want to address a missing point for a lot of Fabric administrators: How to do maintenance on multiple lakehouses that are located in different workspaces.
2024-01-03
Learn Spark SQL Date and Time Functions
This article covers how to use the different date and time functions when working with Spark SQL.
2023-12-08
Exploring Hive Tables with Spark SQL
In this article, we will look at how to use an Azure Databricks Workspace to explore Hive tables using Spark SQL along with several examples.
2022-12-12
Improving Performance In Spark Using Partitions
In this blog post we are going to show how to optimize your Spark job by partitioning the data correctly. To demonstrate this we are going to use the College Score Card public dataset, which has several key data points from colleges all around the United States. We will compute the average student fees by state with this dataset.
2019-04-12
Ingesting Data From Files With Apache Spark, Part 1
In this post, a data expert teaches us how to take in large data sets using Apache Spark.
2019-04-12
Blogs
A New Word: Semaphorism
By Steve Jones
semaphorism – n. a conversational hint that you have something personal to say on...
SQL Server Linux Container Images Got Smaller: Image Size and Startup Time Across Cumulative Updates
This week I was at PASS Data Community Summit in Seattle, and I attended...
Using AI to Build Semantic Models, Ontologies, and Fabric Data Agents
By James Serra
(This is the third post in a three-part series on how AI is changing...
Forums
Pay for Performance
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Question of the Day
Adding Bits I
I have a table, dbo.bittest, where I am testing an application response. This has this structure:
CREATE TABLE [dbo].[BitTest] ( [insertdate] [datetime] NULL CONSTRAINT [DF__BitTest__insertd__300F11AC] DEFAULT (getdate()), [a] [bit] NULL ) ON [PRIMARY] GOMy application runs this code:
INSERT dbo.BitTest
(
insertdate,
a
)
VALUES
(DEFAULT, 'true')
GO
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