Streaming and Batch Data Lakehouses with Apache Iceberg, Dremio and Upsolver
The quest for a unified platform that seamlessly integrates streaming and batch data processing has led to the emergence of robust solutions like Apache…
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End-to-End Basic Data Engineering Tutorial (Apache Spark, Apache Iceberg, Dremio, Apache Superset, Nessie)
Apache Iceberg, Apache Hudi, and Delta Lake: A Comparison of Data Lake Table Formats
From MongoDB to Dashboards with Dremio and Apache Iceberg
Moving data from source systems like MongoDB to a dashboard traditionally involves a multi-step process: transferring data to a data lake, moving it into a…
From SQLServer to Dashboards with Dremio and Apache Iceberg
Moving data from source systems like SQLServer to a dashboard traditionally involves a multi-step process: transferring data to a data lake, moving it into a…
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.