Using Nessie’s REST Catalog Support for Working with Apache Iceberg Tables
The recent support for the Iceberg REST Catalog Spec in Project Nessie marks a significant improvement in how we interact with the Iceberg catalog across…
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Hands-on with Apache Iceberg on Your Laptop: Deep Dive with Apache Spark, Nessie, Minio, Dremio, Polars and Seaborn
Learn how to leverage the integration of Superset and Dremio to visualize your data lake.
Leveraging Apache Iceberg Metadata Tables in Dremio for Effective Data Lakehouse Auditing
Organizations are inundated with vast amounts of data generated from diverse sources. Managing, processing, and extracting meaningful insights from this data…
Why Thinking about Apache Iceberg Catalogs Like Nessie and Apache Polaris (incubating) Matters
Learn more about Apache Polaris by downloading a free early release copy of Apache Polaris: The Definitive Guide along with learning about Dremio’s Enterprise…
8 Tools For Ingesting Data Into Apache Iceberg
Data platforms increasingly migrate to data lakehouses, particularly those built on Apache Iceberg tables. Once you’ve selected the catalog to track your…
Evolving the Data Lake: From CSV/JSON to Parquet to Apache Iceberg
As companies generate more and more data, the need for efficient storage and analytics solutions becomes increasingly important.
Guide to Maintaining an Apache Iceberg Lakehouse
Data Lakehouse architecture has been the direction of data platform evolution over the last several years. By making your data platform more flexible, allowing…
Migration Guide for Apache Iceberg Lakehouses
In optimizing our data infrastructure for cost-efficiency, ease of use, and business value, adopting new, valuable patterns can often be challenging due to…
Getting Hands-on with Polaris OSS, Apache Iceberg and Apache Spark
Learn more about Apache Polaris by downloading a free early release copy of Apache Polaris: The Definitive Guide along with learning about Dremio’s Enterprise…