A new generation of open source big data, represented by Alluxio, born at the University of California at Berkeley, looks at this issue. Different from systems such as designing storage tight coupling to achieve low-cost reliable storage HDFS, by providing a virtual data storage layer defined and implemented by software for data applications, abstracting and integrating cloudy, hybrid cloud, multi-data center and other environments The underlying files and objects, and through intelligent workload analysis and data management, make data close to computing and provide data locality, big data and machine learning applications can be achieved with the same performance and lower cost.
Alluxio meetups, conferences, events and more
The latest Alluxio meetups, webinars, conferences and more
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.
Many organizations are leveraging EMR to run big data analytics on public cloud. However, reading and writing data to S3 directly can result in slow and inconsistent performance. Alluxio is a data orchestration layer for the cloud, and in this use case it caches data for S3, ensuring high and predictable performance as well as reduced network traffic.
In this talk, we will focus on Alluxio design, its architecture, data flow and metadata flow. We will dive into the choices in its design space and share the experiences when implementing features like data tiering, storage options and cache eviction policies. We will also share our lessons in design, implementation and operation when working to build an open source distributed storage systems with 900 contributors for 5+ years.
Enterprises are increasingly looking towards object stores to power their big data & machine learning workloads in a cost-effective way. The combination of SwiftStack and Alluxio together, enables users to seamlessly move towards a disaggregated architecture.
Alluxio can help data scientists and data engineers interact with different storage systems in a hybrid cloud environment. Using Alluxio as a data access layer for Big Data and Machine Learning applications, data processing pipelines can improve efficiency without explicit data ETL steps and the resulting data duplication across storage systems.
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.
What’s Spark+AI Summit? It’s the world’s largest conference that is focused on Apache Spark – Alluxio’s older cousin open source project from the same lab (UC Berkeley’s AMPLab – now RISElab).
Open source software always plays critical role in software development. From Linux kernel to TensorFlow, it drives a lot of awesome projects which created trend and led direction of technology.
We are pleased to have several experts, Reynold Xin, Dongxu Huang, Qing Han, Bin Fan, Amelia Wong, etc. who will share the technology and stories on their successful open source project.