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
14,166 reads
Learn the basics of Apache Druid and how it can be used to ingest data into a data lake.
2023-11-10
14,166 reads
Learn about the evolutionary journey of ETL (Extract, Transform, Load) from traditional processes to modern cloud solutions.
2023-10-18
This article looks at manipulating data using Python to unpivot data received in a cross tab format.
2023-06-30
2,744 reads
A comparison of the lambda and kappa architectures for real time ingestion and analysis of big data.
2023-06-19
4,438 reads
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)
3,478 reads
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
5,649 reads
2021-04-23
605 reads
An ETL issue with Excel causes issues, because the users didn't realize a limitation.
2020-10-19
283 reads
Learn how you can use Change Tracking to incrementally load data with Azure Data Factory
2022-04-18 (first published: 2020-10-13)
15,298 reads
Learn how you can use Polybase technology in Azure Synapse to load data into your warehouse.
2020-07-28
26,559 reads
By Steve Jones
I love Chicago. I went to visit three times in 2023: a Redgate event,...
By Brian Kelley
I have found that non-functional requirements (NFRs) can be hard to define for a...
You can find the slidedeck for my Techorama session “Microsoft Fabric for Dummies” on...
Testing with AG on Linux with Cluster=NONE. it was all going ok and as...
Hi, I have two tables: one for headers with 9 fields and another for...
We're trying to understand how quick new versions of SQL server can be. Obviously...
Let’s consider the following script that can be executed without any error on both SQL Sever and PostgreSQL. We define the table t1 in which we insert three records:
create table t1 (id int primary key, city varchar(50)); insert into t1 values (1, 'Rome'), (2, 'New York'), (3, NULL);If we execute the following query, how will the records be sorted in both environments?
select city from t1 order by city;See possible answers