NetEase and Alluxio joint meetup

Hangzhou Meetup *

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.

Efficient Data Engineering with Apache Spark, Hive, and Alluxio on S3

Alluxio Meetup | Austin *

Welcome to the first event of the Cloud, Data, & Orchestration Austin Meetup! This meetup will feature two talks and an opportunity to engage with other data engineers, developers, and Alluxio users. Thanks to Bazaarvoice for hosting!

Tech Talk: Accelerate and Scale Big Data Analytics with Disaggregated Compute and Storage

The ever increasing challenge to process and extract value from exploding data with AI and analytics workloads makes a memory centric architecture with disaggregated storage and compute more attractive. This decoupled architecture enables users to innovate faster and scale on-demand. Enterprises are also increasingly looking towards object stores to power their big data & machine learning workloads in a cost-effective way. However, object stores don’t provide big data compatible APIs as well as the required performance. 

In this webinar, the Intel and Alluxio teams will present a proposed reference architecture using Alluxio as the in-memory accelerator for object stores to enable modern analytical workloads such as Spark, Presto, Tensorflow, and Hive. We will also present a technical overview of Alluxio.

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Recap: Presto Summit SF 2019

Alluxio is a proud sponsor and exhibitor at the Presto Summit in San Francisco.
What’s Presto Summit? It’s the leading Presto conference co-organized by our partner Starburst Data and the Presto Software Foundation.

O’Reilly AI Conference Keynote: Data Orchestration for AI, Big Data, and Cloud

Haoyuan Li’s keynote at O’Reilly Beijing discusses 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.

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