Table Formats
Apache Iceberg
Subsurface LIVE Sessions
July 29, 2020
Data Lake Storage
A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed. While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data.
In addition to S3, ADLS & GCS, there are Minio, Dell ECS, IBM, Alibaba and other small cloud providers
September 20, 2022
Ensuring High Performance at Any Scale with Apache Iceberg’s Object Store File Layout
Object Storage can have some potential bottlenecks when it comes to working with big data. Apache Iceberg’s architecture lends to overcoming these challenges for a scalable table format solution for object storage.
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September 15, 2022
Introduction to Apache Iceberg Using Spark
Learn the basics of Iceberg’s many features and utilities by trying them out in a Spark sandbox.
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September 13, 2022
How Z-Ordering in Apache Iceberg Helps Improve Performance
This tutorial introduces the Z-order clustering algorithm in Apache Iceberg and explains how it adds value to the file optimization strategy.
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