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Cloud Data Warehouse Migrations: Success Stories from WHOOP and Nexon

Snowflake

Many of our customers — from Marriott to AT&T — start their journey with the Snowflake AI Data Cloud by migrating their data warehousing workloads to the platform. Today we’re focusing on customers who migrated from a cloud data warehouse to Snowflake and some of the benefits they saw.

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Simplify Data Warehouse Migrations: Free SnowConvert with Redshift Support

Snowflake

Migrating from a traditional data warehouse to a cloud data platform is often complex, resource-intensive and costly. As part of this announcement, Snowflake is also announcing private preview support of a new end-to-end data migration experience for Amazon Redshift.

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Simplify Data Warehouse Migrations: Free SnowConvert

Snowflake

Migrating from a traditional data warehouse to a cloud data platform is often complex, resource-intensive and costly. As part of this announcement, Snowflake is also announcing private preview support of a new end-to-end data migration experience for Amazon Redshift.

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How to Normalize Relational Databases With SQL Code?

Analytics Vidhya

Introduction Data is the new oil in this century. The database is the major element of a data science project. So, we are […] The post How to Normalize Relational Databases With SQL Code? So, we are […] The post How to Normalize Relational Databases With SQL Code? appeared first on Analytics Vidhya.

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Accelerate Offloading to Cloudera Data Warehouse (CDW) with Procedural SQL Support

Cloudera

Did you know Cloudera customers, such as SMG and Geisinger , offloaded their legacy DW environment to Cloudera Data Warehouse (CDW) to take advantage of CDW’s modern architecture and best-in-class performance? Today, we are pleased to announce the general availability of HPL/SQL integration in CDW public cloud.

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Data News — Week 25.02

Christophe Blefari

The Data News are here to stay, the format might vary during the year, but here we are for another year. We published videos about the Forward Data Conference, you can watch Hannes, DuckDB co-creator, keynote about Changing Large Tables. HNY 2025 ( credits ) Happy new year ✨ I wish you the best for 2025. Not really digest.

Data 130
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How Meta discovers data flows via lineage at scale

Engineering at Meta

Data lineage is an instrumental part of Metas Privacy Aware Infrastructure (PAI) initiative, a suite of technologies that efficiently protect user privacy. It is a critical and powerful tool for scalable discovery of relevant data and data flows, which supports privacy controls across Metas systems.