Christophe Blefari
APRIL 8, 2023
The only normalisation I did was back at the engineering school while learning SQL with Normal Forms. At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. This week I discovered SQLMesh , a all-in-one data pipelines tool. But is it really different than what we already have with Gmail or AWS?
Christophe Blefari
APRIL 8, 2023
The only normalisation I did was back at the engineering school while learning SQL with Normal Forms. At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. This week I discovered SQLMesh , a all-in-one data pipelines tool. But is it really different than what we already have with Gmail or AWS?
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Knowledge Hut
DECEMBER 26, 2023
Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization.
U-Next
AUGUST 17, 2022
SQL – A database may be used to build data warehousing, combine it with other technologies, and analyze the data for commercial reasons with the help of strong SQL abilities. The job description for Data Engineers may require them to eventually specialize in one or more SQL kinds (such as advanced modeling, big data, etc.).
Monte Carlo
MARCH 28, 2024
In a nutshell, DataOps engineers are responsible not only for designing and building data pipelines, but iterating on them via automation and collaboration as well. While a DataOps engineer is primarily focused on ensuring pipelines run smoothly, data engineers are more focused on designing and implementing those pipelines themselves.
Data Engineering Podcast
AUGUST 13, 2022
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. Data stacks are becoming more and more complex.
Ripple Engineering
JANUARY 29, 2024
The key aspect of any business-centric team in delivering products and features is to make critical decisions on ensuring low latency, high throughput, cost-effective storage, and highly efficient infrastructure. The figure below depicts a simplified view of the Ripple Data Platform, built on Databricks, running on the AWS cloud.
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