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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” The top-line result was that 97% of data engineers are feeling burnout. This is the equivalent advice for data teams provided to software teams in the classic “Mythical Man Month.” A better ETL tool? Pick some other hot tool?

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Data News — Week 23.22

Christophe Blefari

When I step back, the amount of articles shared each week is insane, there are countless articles about things that have already been written. The article is saying that it lays down with Japanese new strategy to become a leader in AI technologies, by removing barriers on training data they hope to open doors.

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Data News — Week 23.40

Christophe Blefari

This article describes the state-of-the-art in decoding speech from brain activity. As a reminder Malloy is a new analytical language meant to generate SQL to query databases. Slack engineering team details how they wrapped CRON jobs on top of Kubernetes with database table to get monitoring. Data modeling is dead!

Python 130
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Data News — Week 23.29

Christophe Blefari

We can already feel summer, I found less articles to enter the selection this week. For the next 5 releases it will be a bit different than usual, less curation and more original articles written in advance to allow me to take a break. In the article it shows you that you can than run transformers or embeddings directly from dbt.

Data 130
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How to learn data engineering

Christophe Blefari

This is one of the most synthesized article about data roles. Warning, the article is from an online bootcamp but they summarize pretty well everything. He wrote some years ago 3 articles defining data engineering field. Recently all-in-one cloud services appeared to simplify the real-time work.

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Value Proposition of the Cloudera Operational Database over Legacy Apache HBase Deployments

Cloudera

The CDP Operational Database ( COD ) builds on the foundation of existing operational database capabilities that were available with Apache HBase and/or Apache Phoenix in legacy CDH and HDP deployments. Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components.

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Data News — Week 23.03

Christophe Blefari

But, funny, in the end we are still copying data from database to database by using CSVs, like 40 years ago. Shortly, in recent Airflow versions it's easy for instance to get started, the UI is great—and tbh always has been, the scheduler is stable. Still this post tries to revalidate Airflow.