Christophe Blefari

SEPTEMBER 28, 2023

Make your data stack take-off ( credits ) Hello, another edition of Data News. This week, we're going to take a step back and look at the current state of data platforms. What are the current trends and why are people fighting around the concept of the modern data stack. Is the modern data stack dying?

Cloud Storage 147

Cloud Storage Big Data Hadoop SQL 147

Christophe Blefari

APRIL 28, 2023

🫠 This week dbt Labs disclose their vision about the semantic layer and especially what they want to do with the Transform acquisition. This is mainly a roadmap of the MeticFlow integration within dbt ecosystem. the metrics store will be the paid service of dbt Labs and a part of the dbt Cloud offering.

SQL 100

SQL Food PostgreSQL Data 100

Marc Lamberti

SEPTEMBER 29, 2023

Then you will set up and run your local development environment using the Astro CLI to create your first data pipeline. Concretely, you must create data pipelines to produce valuable data for later analytics or machine learning. To create, schedule, and monitor this kind of data pipeline you need a tool.

Data Pipeline 130

Data Pipeline Python AWS Project 130

dbt Developer Hub

APRIL 24, 2023

Alteryx is a visual data transformation platform with a user-friendly interface and drag-and-drop tools. Nonetheless, Alteryx may have difficulties to cope with the complexity increase within an organization’s data pipeline, and it can become a suboptimal tool when companies start dealing with large and complex data transformations.

BI 83

BI Data Workflow SQL Data Pipeline 83

dbt Developer Hub

JULY 2, 2023

Data Vault 2.0 is a data modeling technique designed to help scale large data warehousing projects. So why Data Vault? Have you experienced a data warehousing project with 50+ data sources, with 25+ data developers working on the same data platform, or data spanning 5+ years with two or more generations of source systems?

Cloud 52

Cloud Data Warehouse Data BI 52

Towards Data Science

JULY 13, 2023

Building a maintainable and modular LLM application stack with Hamilton in 13 minutes LLM Applications are dataflows, use a tool specifically designed to express them LLM stacks. Using the right tool, like Hamilton, can sure your stack doesn’t become a pain to maintain and manage. Image from pixabay. Stack overview.

Building 73

Building Database-centric Database Coding 73

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place. Happy following!

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52