BI Dashboards with Apache Iceberg Using AWS Glue and Apache Superset
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From Postgres to Dashboards with Dremio and Apache Iceberg
Moving data from source systems like Postgres to a dashboard traditionally involves a multi-step process: transferring data to a data lake, moving it into a…
Run Graph Queries on Apache Iceberg Tables with Dremio & Puppygraph
The allure of the data lakehouse architecture, particularly with the Apache Iceberg table format, lies in its ability to be utilized across various systems,…
The Apache Iceberg Lakehouse: The Great Data Equalizer
How copy-on-write and merge-on-read work in Apache Iceberg.
Data Lakehouse Versioning Comparison: (Nessie, Apache Iceberg, LakeFS)
DataOps, a collaborative data management practice focused on improving the communication, integration, and automation of data flows between data managers and…
What is Lakehouse Management?: Git-for-Data, Automated Apache Iceberg Table Maintenance and more
The concept of a “data lakehouse” has emerged as a beacon of efficiency and flexibility, promising to deliver the best of both data lakes and data warehouses.
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…
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.