What is a Failed Deployment?
Today Steve talks about the concept of what a failure is when deploying changes.
Real-time Data Streaming in Snowflake
Real-time data ingestion has become essential for modern analytics and operational intelligence. Organizations across industries need to process data streams from IoT sensors, financial transactions, and application events with minimal latency. Snowflake offers two robust approaches to meet these real-time data needs: Snowpipe for near-real-time file-based streaming and Direct Streaming via Snowpark API for true real-time data integration.
Stairway to Transaction Log Management in SQL Server, Level 4: Managing the Log in Simple Recovery Mode
Tony describes in more detail the SIMPLE recovery model, and the way it works, its advantages and disadvantages.
Managed Instance Gotchas – Configuration Items
Validate all of your settings and be prepared to make some changes during your migration process. Most of the incompatible options make sense when you think about the purpose of SQL MI – it is controlled by Microsoft. Hardware settings, local file access, high-availability settings, and auditing are configured differently or completely disabled.
Azure SQL Performance Tuning: Mastering Indexes, Partitioning, and Clustered Columnstore
Learn a few ways to improve performance in your Azure SQL Databases through better indexing, partitioning, and columnstore index consideration.
Shorten the Debate
Steve talks about the process of decision making with idea for shortening the time taken.
Techniques to query Azure SQL’s new JSON Datatype
The new JSON field type and new functions in Azure SQL brings a new world of possibilities for JSON manipulation in SQL Databases. These features are slated to be a part of SQL Server 2025 as well. Let’s analyze some practical uses of these features
Level 1 of the Stairway to Synapse Analytics - Create a Synapse Workspace
In this first level of the Stairway to Synapse Analytics, we learn how to set up a new workspace and add data files.
Level 2 of the Stairway to Synapse Analytics: Analyze Data in Storage Account using the Serverless SQL pool
In this second level of the Stairway to Synapse, we learn how to create external tables and query data that is stored in our data storage using the serverless pool.
Blogs
PlanTrace: Stop Reading Redshift EXPLAIN Plans. Start Seeing Them
PlanTrace: Stop Reading Redshift EXPLAIN Plans. Start Seeing Them Introducing PlanTrace — a free, browser-based...
A Cloud Dependency Failure from Amazon
By Steve Jones
I went to sleep while reading a Kindle book on my phone. I know...
Deploying AI in logistics (the unfiltered version)
A conversation with Jan Laš, CIO at HOPI, about what deploying a data agent...
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Question of the Day
Creating a JSON Document III
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
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