Apache Iceberg - A Table Format for Huge Analytic Datasets
Data Orchestration Summit
www.alluxio.io/data-orchestration-summit-2019
November 7, 2019
Apache Iceberg - A Table Format for Huge Analytic Datasets
Speaker:
Ryan Blue, Netflix
For more Alluxio events: https://www.alluxio.io/events/
Видео Apache Iceberg - A Table Format for Huge Analytic Datasets канала Alluxio
www.alluxio.io/data-orchestration-summit-2019
November 7, 2019
Apache Iceberg - A Table Format for Huge Analytic Datasets
Speaker:
Ryan Blue, Netflix
For more Alluxio events: https://www.alluxio.io/events/
Видео Apache Iceberg - A Table Format for Huge Analytic Datasets канала Alluxio
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Iceberg: a fast table format for S3
Streaming Event-Time Partitioning With Apache Flink and Apache Iceberg - Julia Bennett
Data orchestration for AI, big data, and the cloud
Intro to Apache Pinot
Lessons Learned From Running Apache Iceberg at Petabyte Scale // Subsurface 2020
The first 20 hours -- how to learn anything | Josh Kaufman | TEDxCSU
Netflix - Presto & Iceberg for Analytics
Delta Lake for apache Spark | How does it work | How to use delta lake | Delta Lake for Spark ACID
Building efficient and reliable data lakes with Apache Iceberg
Apache Spark in 10 Minutes | What is Apache Spark? | Learn Apache Spark
Accessing Data Anywhere with Unified Namespace
Spark and Iceberg at Apple's Scale - Leveraging differential files for efficient upserts and deletes
ACID ORC, Iceberg, and Delta Lake—An Overview of Table Formats for Large Scale Storage and Analytics
AWS re:Invent 2020: The lake house approach to data warehousing with Amazon Redshift
tf.data: TensorFlow Input Pipeline
Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger • GOTO 2019
Orchestrate a Data Symphony![Streaming Concepts & Introduction to Flink - [BONUS] Exactly Once Fault Tolerance Guarantees](https://i.ytimg.com/vi/9pRsewtSPkQ/default.jpg)
Streaming Concepts & Introduction to Flink - [BONUS] Exactly Once Fault Tolerance Guarantees
RDDs, DataFrames and Datasets in Apache Spark - NE Scala 2016
Presto: Query Anything - Data Engineer’s perspective