360 & Alluxio Meetup (featuring Baidu, JD.com)
360 and Alluxio meetup in Beijing featuring Baidu and JD.com.
360 and Alluxio meetup in Beijing featuring Baidu and JD.com.
Bay Area Meetup which include presentations on the architecture of Presto, its separation of compute and storage, cloud-readiness, recent advancements in the project such as Cost-Based Optimizer and Kubernetes Support. Presto and Alluxio production use cases and more.
Tags: alluxio engineering, aws s3, cloud object storage, compute storage separation, meetup, presto
Alluxio’s first cloud, data & orchestration Austin meetup featuring talks and demos on efficient data engineering with Apache Spark, Hive and Alluxio on S3.
Tags: apache hive, aws s3, cloud, meetup, spark
This meetup presents an overview of the motivations and design decisions behind the major changes in the Alluxio 2.0 release, and Real-time Data Processing for Sales Attribution Analysis with Alluxio, Spark and Hive at VIPShop.
Tags: alluxio engineering, apache hadoop, apache spark, compute, compute storage separation, data, data orchestration, hadoop, hdfs, meetup, scale, spark, storage
Joint meetup in Hangzhou discusses: An introduction to new features of big data storage system Alluxio and optimization of cache performance, Practice & exploration of Spark & Alluxio, and the Interactive query system Impala.
Joint hosted Alluxio New York meetup with talks to include: Embracing hybrid cloud for data-intensive analytic workloads and Alluxio on AWS EMR (fast storage access and sharing for Spark).
Tags: alluxio engineering, analytics, compute, compute storage separation, data, data orchestration, hybrid cloud, meetup, performance, storage
Alluxio maintainer and founding engineer Calvin Jia presents on Scalable Filesystem Metadata Services with RocksDB at the RocksDB meetup at Twitter.
Tags: alluxio engineering, meetup, metadata management, performance, scale, storage, unified namespace
In this meetup, Dipti and HY will present a new approach to hybrid analytical workloads using Alluxio, an open source data orchestration layer, which sits between compute and storage layer. Applications like Apache Spark or TensorFlow can then seamlessly access multiple disparate data sources with consistent performance using data locality and abstraction that the data orchestration tier brings.
Haoyuan Li presents at Beijing Meetup on open source data orchestration and the value of leveraging Alluxio with rising trends driving the need for a new architecture. Four big trends driving this need: Separation of compute & storage, hybrid-multi cloud environments, rise of object store and self-service data across the enterprise.
Tags: big data, cloud, cloud storage, compute storage separation, data, data orchestration, hybrid cloud, meetup, multi cloud, storage