Christophe Blefari

MARCH 8, 2024

Today I want to introduce a new feature in the Data News galaxy. I don't talk much about my freelance life in Data News because sometimes I think that's not the contract we have together. Data News promise is to give you, every week, the links I've hand-picked with my spicy opinion about them.

Data 130

Data Algorithm Database Education 130

Christophe Blefari

AUGUST 4, 2023

Summer Edition ( credits ) This is the first article of the Data News Summer Edition: how to build a data platform. The modern data stack has been criticised a lot, a few are saying it's dead other are saying we are in the post-modern era. In this article we will try to design the fancy data stack for a batch usage.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

phData: Data Engineering

OCTOBER 7, 2022

So you’ve built your first set of transformations in dbt , but now you need to figure out how to automate your deployment and code changes to your various environments. Thankfully, you’ve found this blog! Finally, I’ll show you to configure a run for dbt Core. So what’s the best way to address this?

Database 52

Database Cloud Coding Python 52

dbt Developer Hub

OCTOBER 17, 2022

For years working in data and analytics engineering roles, I treasured the daily camaraderie sharing a small office space with talented folks using a range of tools - from analysts using SQL and Excel to data scientists working in Python. Going polyglot is a major next step in the journey of dbt Core.

SQL 52

SQL Python Programming Language Data Analysis 52

AltexSoft

JANUARY 26, 2022

As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Quoting a comment from the Reddit discussion , “Their [analytics engineers] job is to marry the technical requirements of the data stack with the business objectives”.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

Monte Carlo

JULY 28, 2022

There are virtually an unlimited number of ways data can break. But perhaps one of the most common reasons for data quality challenges are software feature updates and other changes made upstream by software engineers. These are particularly frustrating, because while they are breaking data pipelines constantly, it’s not their fault.

Pipeline-centric 52

Pipeline-centric Software Engineer Software Engineering Database-centric 52

Datakin

OCTOBER 14, 2021

dbt is an amazing way to transform data within a data warehouse. So amazing, in fact, that it’s easy to end up doing tons and tons of transformations on all kinds of datasets. Data lineage is super powerful like that. This is a quick tutorial that can show you how to observe dbt pipelines with Datakin.

Google Cloud 52

Google Cloud Datasets Bytes Metadata 52

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. Reflow — A system for incremental data processing in the cloud.

Consulting 123

Consulting Machine Learning Data Science Data Pipeline 123

dbt Developer Hub

OCTOBER 11, 2022

It is our intention to take this content and turn it into a Guide, like How we structure our dbt projects , but we feel that codifying information in a Guide first requires that metrics be rigorously tested by the community so that best practices can arise. In past roles, I’ve been referred to as the dbt zealot and I’ll gladly own that title!

Designing 52

Designing Finance Datasets Coding 52

phData: Data Engineering

JANUARY 3, 2022

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Table of Contents How Impactful is Your Data? What’s Data Strategy? No problem!

IT 52

IT AWS Software Engineer Software Engineering 52

Data Engineering Weekly

SEPTEMBER 3, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. 🌐 Tickets are selling fast; use the code DATAHERO for a special discount.

Data Engineering 73

Data Engineering Data Engineer Engineering Data 73

Towards Data Science

OCTOBER 7, 2023

Here are 5 popular applications data teams at OpenAI, Vimeo, and other companies are putting into practice today. The hype around generative AI is real, and data and ML teams are feeling the heat. What generative AI use cases are realistic, achievable, and actually worth the ROI? Getting started with LLMs?

Unstructured Data 76

Unstructured Data Finance SQL Media 76

Monte Carlo

OCTOBER 4, 2023

The hype around generative AI is real, and data and ML teams are feeling the heat. Across industries, executives are pushing their data leaders to build AI-powered products that will save time, drive revenue, or give them a competitive advantage. What generative AI use cases are realistic, achievable, and actually worth the ROI?

Unstructured Data 72

Unstructured Data Finance SQL Media 72

Christophe Blefari

NOVEMBER 18, 2023

Still I've accumulated a lot of articles that I think should fit in the Data News so this week might be a huge recap of content that has been produce in the last month. Other AI announcements Github Universe was the moment to announce more Copilot everywhere in Github ecosystem. I hope you will enjoy the selection.

Food 147

Food Data Data Lake Retail 147