Dipankar Mazumdar – Medium

Dipankar Mazumdar

Featured Book

Engineering Lakehouses with Open Table Formats: Build scalable and efficient lakehouses with Apache Iceberg, Apache Hudi, and Delta Lake

Engineering Lakehouses with Open Table Formats: Build scalable and efficient lakehouses with Apache Iceberg, Apache Hudi, and Delta Lake

This book provides detailed insights into lakehouse concepts, and dives deep into the implementation of Apache Iceberg, Apache Hudi & Delta Lake

2025

Dipankar Mazumdar, et al.

Dipankar Mazumdar, Vinoth Govindarajan

Stories

Apache Parquet vs. Newer File Formats (BtrBlocks, FastLanes, Lance, Vortex)

For over a decade, Apache Parquet has been the cornerstone of analytical data storage. Parquet emerged in the Hadoop era as an open…

Sep 26

Apache Parquet vs. Newer File Formats (BtrBlocks, FastLanes, Lance, Vortex)

Sep 26

Introducing Multi-Catalog Sync in Apache XTable™ (incubating): Unlocking Catalog Interoperability

TL;DR: This blog introduces Multi-Catalog Sync in Apache XTable™ (Incubating), a new capability designed to extend interoperability beyond…

May 7

Introducing Multi-Catalog Sync in Apache XTable™ (incubating): Unlocking Catalog Interoperability

May 7

What is Apache Arrow Flight, Flight SQL & ADBC?

ODBC (Open Database Connectivity) and JDBC (Java Database Connectivity) have long been the industry standard for connecting databases with…

Mar 18

What is Apache Arrow Flight, Flight SQL & ADBC?

Mar 18

Hudi-rs with DuckDB, Polars, Daft, DataFusion — Single-node Lakehouse

Using Lakehouse Table formats like Apache Hudi with Python & Rust with no JVM, Spark dependency.

Jul 26, 2024

Hudi-rs with DuckDB, Polars, Daft, DataFusion — Single-node Lakehouse

Jul 26, 2024

Understanding Compression Codecs in Apache Parquet

Apache Parquet is a columnar storage file format optimized for fast processing and querying with large-scale data volumes. It offers…

Jun 7, 2024

Understanding Compression Codecs in Apache Parquet

Jun 7, 2024

Using Apache Hudi & Iceberg tables in Databricks with Apache XTable

How to use Apache Iceberg & Apache Hudi tables in Databricks with Apache XTable

Jun 4, 2024

Using Apache Hudi & Iceberg tables in Databricks with Apache XTable

Jun 4, 2024

Using XTable to translate from Iceberg to Hudi & Delta Lake with a File System Catalog like S3

While going through some of the recent issues in the Apache XTable repository, I stumbled upon this error from a user who was attempting to…

May 15, 2024

Using XTable to translate from Iceberg to Hudi & Delta Lake with a File System Catalog like S3

May 15, 2024

Published in

Building Analytical Apps on the Lakehouse using Apache Hudi, Daft & Streamlit

Building user-facing analytical apps and dashboards is critical for organizations that want to make decisions actionable. While traditional…

May 10, 2024

Building Analytical Apps on the Lakehouse using Apache Hudi, Daft & Streamlit

May 10, 2024

What is Apache XTable (formerly OneTable) — Interoperability for Apache Hudi, Iceberg & Delta Lake

Apache Hudi, Iceberg, and Delta Lake provide a table-like abstraction on top of the native file formats like Parquet by serving as a…

Dec 6, 2023

What is Apache XTable (formerly OneTable) — Interoperability for Apache Hudi, Iceberg & Delta Lake

Dec 6, 2023

Apache Hudi (Part 1): History, Getting Started

I recently joined Onehouse.ai to contribute to Apache Hudi and work on advocacy efforts, helping engineering teams build and scale robust…

Nov 29, 2023

Apache Hudi (Part 1): History, Getting Started

Nov 29, 2023

Dipankar Mazumdar

Dipankar Mazumdar

Book Author

Dipankar is currently the Director of Developer Advocacy at Cloudera, where he leads worldwide developer initiatives focused on Lakehouse Architecture & GenAI.

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