Data Pipeline Data Preparation Pipeline-centric SQL 
Christophe Blefari
APRIL 8, 2023
The only normalisation I did was back at the engineering school while learning SQL with Normal Forms. Actually what I cared was physical storage, data formats, logical partitioning or indexing. At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. Denormalisation everywhere. YAML configured.
Christophe Blefari
APRIL 8, 2023
The only normalisation I did was back at the engineering school while learning SQL with Normal Forms. Actually what I cared was physical storage, data formats, logical partitioning or indexing. At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. Denormalisation everywhere. YAML configured.
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Data Engineering Podcast
AUGUST 13, 2022
In this episode founder Shayan Mohanty explains how he and his team are bringing software best practices and automation to the world of machine learning data preparation and how it allows data engineers to be involved in the process. Data stacks are becoming more and more complex.
Knowledge Hut
JUNE 20, 2023
In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. The ML engineers act as a bridge between software engineering and data science.
Snowflake
JUNE 28, 2023
At this year’s Summit, we are excited to announce a series of advancements to Snowpark runtimes and libraries, making the deployment and processing of non-SQL code in Snowflake even simpler, faster, and more secure. Snowpark — Set of libraries and runtimes for secure deployment and processing of non-SQL code on the Snowflake Data Cloud.
Knowledge Hut
SEPTEMBER 26, 2023
Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. Designed to tackle the challenges of modern data management and analytics, Azure Synapse brings together the worlds of big data and data warehousing into a unified and seamlessly integrated platform.
DataKitchen
FEBRUARY 21, 2023
As a result, a less senior team member was made responsible for modifying a production pipeline. Create a Path To Production For Self-Service: “… business users explore data through self-service data preparation, few have established gatekeeping processes to deliver these workloads to production.”
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