Time-Series Data Analysis with Apache Druid
Learn the basics of Apache Druid and how it can be used to ingest data into a data lake.
2023-11-10
14,383 reads
data warehouse
Building a Kimball Data Warehouse
Learn about the Kimball method for data warehouses and how you can get started building one.
2023-06-14
4,980 reads
Dynamically Add a Timestamp To Files in Azure Data Factory
This article will describe how to add your local timestamp at the end of the each file in Azure Data Factory (ADF). In general, ADF gets a UTC timestamp, so we need to convert the timestamp from UTC to EST, since our local time zone is EST. For example, if the input Source file name […]
2021-04-22
28,909 reads
Create and Populate a Date Dimension Table
Creates and populates a date-dimension table suitable for OLTP or data warehouse purposes.
2013-02-04
2,723 reads
Blogs
Taming Database Challenges: Insights from Redgate Keynote
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I am excited to cover the Microsoft Keynote on Day 2: Redgate Keynote: Simplifying...
AI Innovation in Microsoft Keynote
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I’m thrilled to be covering the Microsoft Keynote: Fuel AI Innovation with Azure Databases on Day...
Benefits of Migrating from Azure Synapse Analytics to Microsoft Fabric
By James Serra
Many customers ask me about the advantages of moving from Azure Synapse Analytics to...
Forums
What does B6 Notebook mean?
B6 Notebook Size can be found in a few novels and stories. The dimensions...
Unencrypted connections in Always on Availability Group
Hi, In my Always On Availability environment, I am seeing two encrypt_option values as...
Error loading multiple CSV files in SSIS
Hi everyone I have a bunch of CSV files that I need to bulk...
Question of the Day
Using Outer Joins
I have this data in a SQL Server 2019 database:
Customer table CustomerID CustomerName 1 Steve 2 Andy 3 Brian 4 Allen 5 Devin 6 Sally OrderHeader table OrderID CustomerID OrderDate 1 1 2024-02-01 2 1 2024-03-01 3 3 2024-04-01 4 4 2024-05-01 6 4 2024-05-01 7 3 2024-06-07 8 2 2024-04-07I want a list of all customers and their order counts for a period of time, including zero orders. If I run this query, how many rows are returned?
SELECT c.CustomerName, COUNT(oh.OrderID) FROM dbo.Customer AS c LEFT JOIN dbo.OrderHeader AS oh ON oh.CustomerID = c.CustomerID WHERE oh.Orderdate > '2024/04/01' GROUP BY c.CustomerNameSee possible answers