all AI news
Apache Spark Integration and Platform Execution for ML - ML 073
May 26, 2022, 10 a.m. | Ben Wilson, Michael Berk
Adventures in Machine Learning redcircle.com
Apache Spark is a lightning-fast unified analytics engine for large-scale data processing and machine learning. In this episode, Ben and Michael unpack Spark by ping-ponging questions and answers, supplemented by various examples applicable to machine learning workflows.
In this Episode…
- How does Spark work?
- What makes Apache Spark effective?
- Dot repartition in Spark
- Parallel processing systems
- What is an aggregation in Spark sequel?
- Analytics with Spark
- What is MPP?
- Testing for production
- Spark algorithms
Sponsors
analytics analytics engine apache apache spark data data processing examples integration lightning machine machine learning platform processing questions scale spark unified analytics work workflows
More from redcircle.com / Adventures in Machine Learning
The Science-Engineering Blend - ML 146
1 month ago |
redcircle.com
The Impact of Process on Successful Tech Companies - ML 145
1 month, 1 week ago |
redcircle.com
Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144
1 month, 2 weeks ago |
redcircle.com
Jobs in AI, ML, Big Data
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York