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Fast Copy-On-Write within Apache Parquet for Data Lakehouse ACID Upserts

Uber Engineering

Experience the power of row-level secondary indexing in Apache Parquet, enabling 3-20X faster upserts and unlocking new possibilities for efficient table ACID operations in today’s Lakehouse architecture.

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Seamlessly Migrate Your Apache Parquet Data Lake to Delta Lake

databricks

Apache Parquet is one of the most popular open source file formats in the big data world today. Being column-oriented, Apache Parquet allows.

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Comparing Performance of Big Data File Formats: A Practical Guide

Towards Data Science

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. You’ll explore four widely used file formats: Parquet , ORC , Avro , and Delta Lake. These will be used for Parquet, Avro, ORC, and Delta Lake.

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Data News — Week 24.12

Christophe Blefari

On my side I'll talk about Apache Superset and what you can do to build a complete application with it. Finally, xAI released Grok-1 in open — The weights are available in torrent / HF and everything is under Apache License. Now give me the news. Sometimes it looks like you speak to a child.

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Data News — Week 23.05

Christophe Blefari

Microsoft Azure announced managed Airflow — Starting this week you'll be able to launch Apache Airflow within Azure Data Factory. Parquet best practices: the art of filtering — How to leverage Parquet filtering to save processing time. The feature is in public preview.

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Build an Open Data Lakehouse with Iceberg Tables, Now in Public Preview

Snowflake

Apache Iceberg’s ecosystem of diverse adopters, contributors and commercial support continues to grow, establishing itself as the industry standard table format for an open data lakehouse architecture. Your other engines that may be writing to the table, such as Apache Spark or Apache Flink, can continue to write, and Snowflake can read.

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Supporting Diverse ML Systems at Netflix

Netflix Tech

Data: Fast Data Our main data lake is hosted on S3, organized as Apache Iceberg tables. For ETL and other heavy lifting of data, we mainly rely on Apache Spark. We use Apache Arrow to decode Parquet and to host an in-memory representation of data.

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