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Snowflake Ventures Invests in Anomalo for Advanced Data Quality

Snowflake

Anomalo was founded in 2018 by two Instacart alumni, Elliot Shmukler and Jeremy Stanley. While working together, they bonded over their shared passion for data. After experiencing numerous data quality challenges, they created Anomalo, a no-code platform for validating and documenting data warehouse information.

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Functional Data Engineering — a modern paradigm for batch data processing

Maxime Beauchemin

This means that ideally the logic in source control describes how to build the full state of the data warehouse throughout all time periods. If someone else was to introduce an unrelated change that required “backfilling” 2017, they would apply the 2018 rule to 2017 data without knowing.

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Data logs: The latest evolution in Meta’s access tools

Engineering at Meta

We have a long history of giving users transparency and control over their data: 2010: Users can retrieve a copy of their information through DYI. 2018: Users have a curated experience to find information about them through Access Your Information. 2024: Users can access data logs in Download Your Information.

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Your Step-by-Step Guide to Become a Data Engineer in 2025

ProjectPro

If you are planning to make a career transition into data engineering and want to know how to become a data engineer, this is the perfect place to begin your journey. Beginners will especially find it helpful if they want to know how to become a data engineer from scratch. for working on cloud data warehouses.

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The View Below The Waterline Of Apache Iceberg And How It Fits In Your Data Lakehouse

Data Engineering Podcast

Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used.

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Databricks, Snowflake and the future

Christophe Blefari

Snowflake was founded in 2012 around its data warehouse product, which is still its core offering, and Databricks was founded in 2013 from academia with Spark co-creator researchers, becoming Apache Spark in 2014. Databricks is focusing on simplification (serverless, auto BI 2 , improved PySpark) while evolving into a data warehouse.

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Let The Whole Team Participate In Data With The Quilt Versioned Data Hub

Data Engineering Podcast

Your host is Tobias Macey and today I'm interviewing Aneesh Karve about how Quilt Data helps you bring order to your chaotic data in S3 with transactional versioning and data discovery built in Interview Introduction How did you get involved in the area of data management?