Building a Real-Time Analytics Pipeline with Azure Stream Analytics and SQL Server
Learn how a real time analytics solution for ETL and reporting can be built with SQL Server, Power BI, and Stream Analytics.
2026-01-26
742 reads
ETL (Extract Transform and Load)
Think LSNs Are Unique? Think Again - Preventing Data Loss in CDC ETL
When using only an LSN to track which changes you have processed, you can lose data. This article shows how to avoid this problem.
2025-12-15
2,521 reads
A gentle introduction to dbt
Over the past years, the tool dbt – short for data build tool – has become quite popular in the data engineering world for handling such an ELT process. dbt takes on the role of the “T”, meaning it’s responsible for transforming the data in a certain data store.
2024-12-23
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
14,577 reads
What I Wish Everyone Knew About ETL Processes - Traditional to Modern Cloud Solutions
Learn about the evolutionary journey of ETL (Extract, Transform, Load) from traditional processes to modern cloud solutions.
2023-10-18
Unpivot Data Using Python
This article looks at manipulating data using Python to unpivot data received in a cross tab format.
2023-06-30
3,371 reads
Advantages of Kappa architecture in the Modern Data Stack
A comparison of the lambda and kappa architectures for real time ingestion and analysis of big data.
2023-06-19
5,399 reads
Python 3 Script for Generating SQL Insert Statements from CSV Data
This Python 3 script is designed to take CSV file data pasted into the csv_data variable and generate SQL insert statements that can be used to insert the data into a MySQL database. The script is easy to use and can save you a lot of time when working with large amounts of data.
2023-05-08 (first published: 2023-05-05)
5,695 reads
The Art of Data Ingestion - Part 1
Data movement is a fundamental piece of a data engineer’s duties, and recently I’ve been thinking about the art of data movement. What are some of the most important pieces that a data engineer needs to think about when confronted with data ingestion? There is of course data exporting as well, and in that case, […]
2022-11-11
6,057 reads
2021-04-23
636 reads
Blogs
Deploying an Updated Model with SQL Compare 16
By Steve Jones
In a previous post, I deployed a model to a database using SQL Compare...
Reality (And Limits) of Instant File Initialization for Transaction Logs in SQL Server 2022
By SQLPals
Reality (And Limits) of Instant File Initialization for Transaction Logs in SQL Server 2022 ...
Looking Back at the Redgate 2026 Company Kickoff
By Steve Jones
Last week I spent a few days in Cambridge, UK for the Redgate Company...
Forums
Create filegroups in partition
I have a table with partition on create_timestamp field. Though we're storing all data...
Adding and Dropping Columns II
Comments posted to this topic are about the item Adding and Dropping Columns II
Leveraging DuckDB for OLAP Workloads: The Fabric Modern Data Platform
Comments posted to this topic are about the item Leveraging DuckDB for OLAP Workloads:...
Question of the Day
Adding and Dropping Columns II
I have this table in my SQL Server 2022 database:
CREATE TABLE [dbo].[CityList] ( [CityNameID] [int] NOT NULL IDENTITY(1, 1), [CityName] [varchar] (30) , [Country2] [char] (3), [stateprovince2] [char] (2), [Country] [char] (3), [stateprovince] [char] ) ON [PRIMARY] GOI decide to drop the stateprovince2 and country2 columns. What code should I use? See possible answers