What is DataOps? Automating Data Management on the Apache Iceberg Lakehouse
The ability to manage and manipulate vast amounts of data efficiently is not just an advantage; it’s a necessity. As organizations strive to become more agile…
Developer Hub – Dremio
What is the Data Lakehouse and the Role of Apache Iceberg, Nessie and Dremio?
If you Google ‘modern data platform’ you will get a lot of advertisement. Let’s try to agree on what modern data platform is.
Ingesting Data Into Apache Iceberg Tables with Dremio: A Unified Path to Iceberg
Apache Iceberg and Dremio have emerged as significant players in the data lakehouse space, offering robust data management and analytics solutions.
Open Source and the Data Lakehouse: Apache Arrow, Apache Iceberg, Nessie and Dremio
The “open lakehouse” concept is gaining prominence as the apex of the evolution of data lakehouse architecture. This approach leverages open source components…
How not to use Apache Iceberg
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…
Apache Hive-4.x with Iceberg Branches & Tags
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…
Getting Started with Flink SQL and Apache Iceberg
Apache Flink is an open source data processing framework for handling batch and real-time data. While it supports building diverse applications, including…
Using Flink with Apache Iceberg and Nessie
Flink is a supercharged tool for processing data in real-time or in batches. It’s open source and has a unified programming model, so you can build some…