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.
Twitter SF is hosting 2019’s half yearly RocksDB Meetup with speakers from Twitter, Facebook and the community on July 11th.
Join us June 24 in Menlo Park for our next meetup! We’ll have 3 valuable talks, a delicious BBQ dinner and amazing summertime-themed raffle prizes! This free event is sponsored by GridGain Systems and Oracle.
This Alluxio Meetup features a chance to interact with other Alluxio users and developers, as well as three talks. Thanks to our joint host Data Council!
[Talk 1] A “how-to” presentation for building a real-time alerting, analytics and reporting system (at scale). With Denis Magda, vice president of the Apache Ignite PMC and director of product management at GridGain Systems. And Viktor Gamov, developer advocate at Confluent.
[Talk 2] Using In-Memory technology for real time analytics. With Andy Rivenes is a Product Manager at Oracle for Database In-Memory.
[Talk 3] Feeding data to the Kubernetes beast: bringing data locality to your containerized big data workloads. With Bin Fan, founding engineer of Alluxio, Inc. and PMC member of Alluxio open source project.
Hear how DBS Bank is taking a new approach to making data-intensive compute independent of the storage. They will share the challenges as well as the new technology stack that includes technologies like Spark, Alluxio and object stores.
This technical salon will focus on big data, storage, database and Alluxio application practice, and invite Tencent technical experts and industry technical experts to share the basic principles of Alluxio system, big data system architecture, database application operation and maintenance, AI computer. Themes such as visual technology and landing practice bring rich practical content and experience exchange.
Tachyon is a memory-centric fault-tolerant distributed storage system, which enables reliable file sharing at memory-speed. It originated from AMPLab, UC Berkeley in 2012, the same lab produced Apache Mesos and Apache Spark. Soon later, it became an open source project and is deployed at many companies. Since then, Tachyon has attracted more than 200 contributors from over 50 institutions. In 2015, company Tachyon Nexus was founded to further accelerate the development of Tachyon. In this talk, we will review Tachyon’s new features, deployments, and developments in 2015, and look into 2016.
In the presentation, we will explore several potential industry use cases enabled by the new features. One-click cluster deployment enables users to experiment and prototype with Tachyon on AWS, launching not only Tachyon but also the computation framework and storage system of their choice. Mounting of multiple under storage systems and transparent naming enables more exciting use cases for Tachyon users.