3 Ways to Use Python with Apache Iceberg
Get Hands-on with Apache Iceberg and Dremio from your Laptop with this quick exercise Learn how to pull all your unified data from Dremio into your Python…
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3 Ways to Convert a Delta Lake Table Into an Apache Iceberg Table
What’s a Table Format? One of the significant trends in data architecture is the idea of the data lakehouse, which combines the benefits of the data lake and…
How to Convert CSV Files into an Apache Iceberg table with Dremio
Apache Iceberg is an open table format that enables robust, affordable, and quick analytics on the data lakehouse and is poised to change the data industry in…
Open Data Lakehouse powered by Iceberg for all your Data Warehouse needs
The Apache Iceberg project achieves a milestone with its 1.0 release — with its robust features and stable APIs, it’s never been a better time to adopt Iceberg as your data lakehouse table format.
Exploring Branch & Tags in Apache Iceberg using Spark
Apache Iceberg 1.2.0 release brings in a range of exciting new features and bug fixes. The release centers around changes to the core Iceberg library, compute…
Open Data Lakehouse powered by Apache Iceberg on Apache Ozone
The Apache Iceberg project achieves a milestone with its 1.0 release — with its robust features and stable APIs, it’s never been a better time to adopt Iceberg as your data lakehouse table format.
Dealing with Data Incidents Using the Rollback Feature in Apache Iceberg
Imagine you are a data engineer working for the platform engineering team of your company’s analytics team. Your responsibilities include building data…
Partition and File Pruning for Dremio’s Apache Iceberg-backed Reflections
Dremio maintains physically optimized representations of source data known as Data Reflections. It can be thought of as a hybrid between materialized views and…