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Natively Integrated Python and SQL with Extreme Performance and Scale: Introducing BodoSQL
|
Nick Riasanovsky |
2022-05-25 |
1,224 |
--
|
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Bodo Now Available on Saturn Cloud
|
Ken Oestreich |
2022-06-01 |
454 |
--
|
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Accelerate Python with Bodo: Read Data From AWS S3
|
Ali Reza Farhidzadeh |
2022-04-05 |
412 |
--
|
|
Bodo & Iceberg: The Simple and Fast Open Data Warehouse of the …
|
Ehsan Totoni |
2022-08-04 |
1,147 |
--
|
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2022 at Bodo: A Year in Review
|
Jessica Cappas |
2022-11-23 |
645 |
--
|
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Bodo Plus Snowflake: Bringing Extreme Performance to Massive-Scale ETL Using Python
|
Ritwika Ghosh and Alireza Farhidzadeh |
2022-05-02 |
1,302 |
--
|
|
Machine Learning Series: NYC Yellow Taxi Tips Prediction
|
Pamphile Roy |
2022-05-17 |
1,049 |
--
|
|
Creating ETL Pipelines With Bodo
|
Dillon Roach |
2022-07-07 |
994 |
--
|
|
Machine Learning Series: Credit Card Fraud Detection
|
Pamphile Roy |
2022-05-17 |
1,414 |
--
|
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How to Scale Your Python Application: Multiprocessing Library vs. Bodo
|
Ali Reza Farhidzadeh |
2022-02-23 |
1,472 |
--
|
|
Robustness and Resilience of Bodo Execution in Data Pipelines
|
Ehsan Totoni |
2022-04-22 |
1,822 |
--
|
|
Bodo’s Approach to Open Platforms and Open Source
|
Ehsan Totoni |
2022-05-09 |
2,618 |
--
|
|
Extending Parallel Python Computing to FPGAs
|
Behzad Nasre |
2022-01-04 |
354 |
--
|
|
Moving Seamlessly from Development Environments to Production Realities
|
Alireza Farhidzadeh |
2023-03-22 |
1,437 |
--
|
|
2023 review and looking ahead to 2024
|
Melissa Machay |
2024-02-13 |
736 |
--
|
|
Python data processing engine comparison with NYC Taxi trips (Bodo vs. Spark, …
|
Ehsan Totoni |
2025-01-20 |
1,495 |
--
|
|
Bodo is Going Open Source – HPC Meets Python for data and …
|
Ehsan Totoni |
2025-01-27 |
632 |
--
|
|
Run any Python library in parallel with @bodo.wrap_python
|
Ehsan Totoni |
2025-01-30 |
652 |
--
|
|
Using Bodo to Read and Write AWS S3 Tables in Python
|
Isaac Warren |
2025-02-12 |
672 |
4
|
|
Parallel FASTA Aggregation with Bodo: A Python Example for Scalable Bioinformatics
|
Rohit Krishnan |
2025-02-20 |
713 |
--
|
|
Bodo ♥️ PyIceberg: Scalable IO with the Simplicity of Python
|
Srinivas Lade |
2025-02-26 |
714 |
--
|
|
Bodo vs. Numba: Choosing the Right Tool for High-Performance Python
|
Todd A. Anderson and Ehsan Totoni |
2025-03-05 |
1,512 |
--
|
|
How to parallelize your LLM inference calls with Bodo
|
Rohit Krishnan |
2025-03-13 |
908 |
2
|
|
Data Processing Engines Comparison Pt 2.
|
Scott Routledge |
2025-03-24 |
1,586 |
--
|
|
Key Takeaways from Iceberg Summit 2025
|
Bodo Engineering Team |
2025-04-22 |
706 |
--
|
|
Rethinking DataFrames: Easy as Pandas, Fast as a Data Warehouse
|
Ehsan Totoni |
2025-05-13 |
947 |
--
|
|
Bodo Dataframe Library: First Look
|
Rohit Krishnan |
2025-05-19 |
269 |
--
|
|
Bodo 2025.6 is Here: Supercharged Data Operations with Iceberg, Merge, and Sort
|
Rohit Krishnan |
2025-06-13 |
304 |
--
|
|
Iceberg I/O Optimizations in Compute Engines – Summit Recap
|
Isaac Warren |
2025-06-19 |
206 |
--
|
|
Iceberg I/O performance comparison at scale (Bodo vs PyIceberg, Spark, Daft)
|
Isaac Warren |
2025-07-28 |
623 |
6
|
|
Bodo 2025.7: Turbo‑Charging DataFrames for Production Lakes
|
Rohit Krishnan |
2025-07-04 |
261 |
--
|
|
Scaling Amazon S3 Vectors Workflows Effortlessly in Python with Bodo
|
Ehsan Totoni |
2025-08-11 |
554 |
--
|
|
Using LLMs at Scale: A Pandas-Native Approach
|
Isaac Warren |
2025-09-04 |
862 |
--
|
|
Python DataFrames (Bodo, Daft, Polars, PySpark, Dask, Modin/Ray) Compete for Your NYC …
|
Todd A. Anderson |
2025-09-17 |
1,761 |
--
|
|
Using LangChain Agents + Bodo DataFrames on Large Datasets
|
Scott Routledge |
2025-10-21 |
762 |
--
|
|
Introducing PyDough-CE: A simpler, safer path for natural language analytics
|
Rohit Krishnan |
2025-10-27 |
771 |
--
|
|
PyTorch Conference 2025: Recap and Key Takeaways
|
Scott Routledge |
2025-11-04 |
768 |
--
|
|
From Iceberg to LoRa: A Unified LLM Fine-Tuning Pipeline with Bodo
|
Isaac Warren |
2025-11-06 |
810 |
--
|
|
Bodo Native Integration in PyIceberg 0.10: Bringing Scalability to PyIceberg with Pandas …
|
Isaac Warren |
2025-11-12 |
537 |
--
|
|
2025 Wrapped: Bodoâs Year in Review
|
Bodo Engineering Team |
2025-12-18 |
1,222 |
--
|
|
Building PyDough: Why We Built a New Analytics Language
|
Bodo Engineering Team |
2026-02-02 |
1,221 |
--
|
|
Bodo DataFrames vs PySpark and Dask on TPC-H Benchmarks
|
Todd A. Anderson and Scott Routledge |
2026-02-05 |
1,727 |
--
|
|
Pandas 3’s Native Integration with Bodo JIT and Iceberg
|
Ehsan Totoni |
2026-02-19 |
729 |
--
|
|
Building PyDough: Moving Correctness Upstream with a Knowledge Graph
|
Bodo Engineering Team |
2026-03-10 |
1,541 |
--
|
|
Scaling GPU DataFrames: Why Bodo’s SPMD Architecture Outperforms Task-Based Engines
|
Todd A. Anderson and Ehsan Totoni |
2026-05-05 |
3,076 |
4
|
|
Bodo vs Dask-CuDF: TPC-H on Distributed GPU clusters
|
Scott Routledge |
2026-05-21 |
1,224 |
--
|
|
Building a Native GPU Iceberg Writer for Apache Iceberg
|
Isaac Warren |
2026-05-28 |
1,523 |
--
|
|
Building a Native GPU Reader for Apache Iceberg
|
Isaac Warren |
2026-06-04 |
2,071 |
--
|
|
New Interactive BodoSQL for the AI Era
|
Ehsan Totoni |
2026-06-24 |
923 |
--
|
|
Fully Open Source Trustworthy Text-to-Analytics Stack for Iceberg Data with PyDough and …
|
Scott Routledge |
2026-07-13 |
1,589 |
--
|
|
Reduce Snowballing Cloud Costs with Bodo
|
-- |
2023-08-18 |
1,373 |
--
|
|
The Economics of Cloud Computing: How to Reduce Costs and Maximize Value
|
Dillon Roach |
2023-08-22 |
864 |
--
|
|
Leveraging Bodo, PyTorch, and MPI for Efficient CPU-GPU Distributed Training in Large-Scale …
|
Hadia Ahmed |
2025-04-09 |
811 |
--
|
|
PyDough vs. Malloy vs. PRQL: What's the Difference?
|
Hadia Ahmed |
2026-08-05 |
1,936 |
--
|
|
How BodoSQL Uses and Extends Apache Calcite: From SQL Text to Optimized …
|
Scott Routledge |
2026-09-02 |
1,807 |
--
|
|
How PyDough Reached 100% Accuracy on dbt’s Semantic Layer Benchmark
|
Arnoldo Muller-Molina |
2026-09-09 |
1,499 |
--
|
|
BodoSQL Query Optimizer Deep Dive
|
Scott Routledge |
2026-10-01 |
3,539 |
--
|
