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Data News — Week 23.08

Christophe Blefari

For the last 2 newsletters I've tried to ask your for paying support. From number of people who really paid I can see that I failed to either word it correctly, either to propose a newsletter where you see the value of paying for it. Hubert tries to explain stuff in the real-time category.

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Data News — Week 23.04

Christophe Blefari

My view from the train window ( credits ) Dear Data News readers it's a joy every week to write this newsletter, we are slowly approaching the second birthday of this newsletter. Today I take the following commitment: I will never use any generative algorithm to write something in the newsletter.

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Data News — Week 23.11

Christophe Blefari

It, probably, explains why you always get the newsletter late on Fridays—or Saturdays. It also means that if you have any questions that you want me to ask you can send them to me beforehand 🫠 Gen AI 🤖 I will create a specific category for generative AI.

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Data News — Snowflake and Databricks summits

Christophe Blefari

2 summits ( credits I cropped the image) Hey, since I said I should try to send the newsletter at a specific schedule I did not. Still here the newsletter for last week. Databricks acquires MosaicML for $1.3b— It should land in data economy category but you know. Also you might know Mode through Benn Stancil blog.

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Data News — Week 22.48

Christophe Blefari

I'm terribly late with this newsletter. Joe Reis launched his Substack — Joe is the co-author of the great The Fundamentals of Data Engineering and his blog already have 2 articles I deeply recommend: No extra credit for complexity & Groundhog Days. Train(s) ( credits ) Hey you, this is an unusual Saturday.

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How to learn data engineering

Christophe Blefari

📬 Subscribe to the excellent weekly newsletter 📬 A bit of context It's important to take a step back and to understand from where the data engineering is coming from. In this category I recommend also to have a look at data ingestion (Airbyte, Fivetran, etc.), workflows (Airflow, Prefect, Dagster, etc.)

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Data Engineering in Retrospect: Key Trends and Patterns of 2023

Data Engineering Weekly

The data industry clearly understands the power of blog storage, and using S3 as a database is not a new concept either. As Benn Stancil noted in his blog, “The data industry is going to consolidate” is a pretty boring prediction to make these days. The categories are merging. But I had my doubts. Let’s chat.