Article Data Models ETL 
Smart Data Collective
JULY 9, 2023
ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses. What is ETL? Let’s break down each step: 1.
Dataversity
MARCH 29, 2021
Have you ever been in a situation when you had to represent the ETL team by being up late for L3 support only to find out that one of your […]. The post Rethinking Extract Transform Load (ETL) Designs appeared first on DATAVERSITY.
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The Data Administration Newsletter
APRIL 6, 2021
A metadata-driven data warehouse (MDW) offers a modern approach that is designed to make EDW development much more simplified and faster. It makes use of metadata (data about your data) as its foundation and combines data modeling and ETL functionalities to build data warehouses.
ODSC - Open Data Science
JUNE 12, 2023
This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. Then we have some other ETL processes to constantly land the past 5 years of data into the Datamarts.
ODSC - Open Data Science
SEPTEMBER 27, 2023
As data lakes gain prominence as a preferred solution for storing and processing enormous datasets, the need for effective data version control mechanisms becomes increasingly evident. Schema Enforcement: Data warehouses use a “schema-on-write” approach. You can connect with her on Linkedin.
Mlearning.ai
MAY 16, 2023
There are various architectural design patterns in data engineering that are used to solve different data-related problems. This article discusses five commonly used architectural design patterns in data engineering and their use cases. Finally, the transformed data is loaded into the target system.
phData
MAY 11, 2023
With the “Data Productivity Cloud” launch, Matillion has achieved a balance of simplifying source control, collaboration, and dataops by elevating Git integration to a “first-class citizen” within the framework. In Matillion ETL, the Git integration enables an organization to connect to any Git offering (e.g.,
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