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Best Practices for Building ETLs for ML

KDnuggets

This article talks about several best practices for writing ETLs for building training datasets. It delves into several software engineering techniques and patterns applied to ML.

ETL 263
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Why Do We Prefer ELT Rather than ETL in the Data Lake? What is the Difference between ETL & ELT

insideBIGDATA

In this article, Ashutosh Kumar discusses the emergence of modern data solutions that have led to the development of ELT and ETL with unique features and advantages. ELT is more popular due to its ability to handle large and unstructured datasets like in data lakes.

ETL 241
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Schedule & Run ETLs with Jupysql and GitHub Actions

KDnuggets

This blog provided you with a comprehensive overview of ETL and JupySQL, including a brief introduction to ETLs and JupySQL. We also demonstrated how to schedule an example ETL notebook via GitHub actions, which allows you to automate the process of executing ETLs and JupySQL from Jupyter.

ETL 251
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What Does ETL Have to Do with Machine Learning?

KDnuggets

ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning.

ETL 363
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The Best ETL Tools in 2021

KDnuggets

If you have clear, well-defined objectives, it won’t be hard to identify the ETL technology that best meets your needs. Here are some of the best ETL tools you can use in your business.

ETL 311
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SQL and Data Integration: ETL and ELT

KDnuggets

In this article, we will discuss use cases and methods for using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes along with SQL to integrate data from various sources.

ETL 275
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Data Warehousing and ETL Best Practices

KDnuggets

How you can improve your data warehousing ETL process with these simple practices.

ETL 256