spark-rapids
DataGristle
Our great sponsors
| spark-rapids | DataGristle | |
|---|---|---|
| 3 | 5 | |
| 720 | 137 | |
| 4.2% | - | |
| 9.8 | 0.0 | |
| 7 days ago | 3 months ago | |
| Scala | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
spark-rapids
-
Open source contributions for a Data Engineer?
His newer project, Ballista, was also donated to Apache Arrow. I hope to get the Rust skills to collaborate with him on open source work someday too. He's also doing really cool work on spark-rapids FYI.
-
I am reading this article https://www.frontiersin.org/articles/10.3389/fnins.2015.00492/full and thinking how to create an Amazon EMR infrastructure wih PySpark. Why is the GPU server not one of the nodes in the Apache Spark cluster? Or this is just an abstract view and the nodes are also the GPUs?
The spark-rapids project allows one to run multi-GPU ETL workloads on a Spark cluster. https://github.com/NVIDIA/spark-rapids In such a setup, the GPU nodes are part of the Spark cluster. Multi-GPU nodes are viable, although an executor is currently limited to a single GPU.
-
Ballista: New approach for 2021
So, in my day job at NVIDIA, I work on the RAPIDS Accelerator for Apache Spark, which is an open-source plugin that provides GPU-acceleration for ETL workloads, leveraging the RAPIDS cuDF GPU DataFrame library.
DataGristle
- What are your weekend side projects?
- Instant data model from 1000s of unique files?
- Using Hashing to detect data changes in ELT
-
How do you sort a CSV file with several million rows?
DataGristle: this one contains some more unusual csv utilities, and what's in master includes the ability to sort by field names rather than offsets: https://github.com/kenfar/DataGristle
-
Open source contributions for a Data Engineer?
DataGristle by u/kenfar who influenced many of us in this sub.
What are some alternatives?
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Skytrax-Data-Warehouse - A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.
streamlit - Streamlit — A faster way to build and share data apps.
soda-sql - Data profiling, testing, and monitoring for SQL accessible data.
ballista - Distributed compute platform implemented in Rust, and powered by Apache Arrow.
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
sqlfluff - A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
dagster - An orchestration platform for the development, production, and observation of data assets.
didact-engine - The REST API and execution engine for the Didact Platform.
meltano - Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum: