Improving Python and Spark Performance and Interoperability: Spark Summit East talk by Wes McKinney
Комментарии отсутствуют
Информация о видео
Другие видео канала
Deep Dive: Apache Spark Memory Management"Apache Arrow and the Future of Data Frames" with Wes McKinneyApache Arrow Integration with Spark // Apache Arrow Meetup SFData Wrangling with PySpark for Data Scientists Who Know Pandas - Andrew RayPeter Hoffmann - Using Pandas and Dask to work with large columnar datasets in Apache ParquetImproving Python and Spark Performance and Interoperability with Apache ArrowVectorized UDF: Scalable Analysis with Python and PySpark - Li JinDASK and Apache SparkGurpreet Singh Microsoft CorporationBuilding Real Time BI Systems with Kafka, Spark & Kudu: Spark Summit East talk by Ruhollah FarchtchiTeaching Apache Spark Clusters to Manage Their Workers Elastically: Erik Erlandson and Trevor MckayLessons Learned from Dockerizing Spark Workloads: Spark Summit East talk by Tom PhelanBuilding a Dataset Search Engine with Spark & Elasticsearch: talk by Oscar Castañeda-VillagránDeep Dive into Project Tungsten Bringing Spark Closer to Bare Metal -Josh Rosen (Databricks)Apache Spark Meet Up at Spark Summit East 2017Spark Interview Questions | PySpark and Apache Arrow | What is Apache ArrowPandas Limitations - Pandas vs Dask vs PySpark - DataMites CoursesLearn Python - Full Fundamental Course for Beginners | Python Tutorial for Beginners [2019]Utilizing Spark as the Analytical Core to an Open Source HTAP Relational Database: John LeachAutomating Predictive Modeling at Zynga with PySpark and Pandas UDFsBen Weber Zynga