Vitaliy and Dipti dive into how DBS Bank built a modern big data analytics stack, leveraging an object store as persistent storage even for data-intensive workloads, and how it uses Alluxio to orchestrate data locality and data access for Spark workloads.
For today’s blog post I interviewed Bin Fan, Founding Engineer and VP of Open Source at Alluxio. Bin is the PMC maintainer of the Alluxio open source project. Prior to Alluxio, he worked for Google on the next-generation storage infrastructure. Bin received his Ph.D. in Computer Science from Carnegie Mellon University on the design and … Continued
Haoyuan Li offers an overview of a data orchestration layer that provides a unified data access and caching layer for single cloud, hybrid, and multicloud deployments.
Announcing the first Data Orchestration Summit in November 2019! This Summit brings together data engineers, cloud engineers, data scientists, and industry thought leaders who are solving data problems at the intersection of cloud, AI, and data.
Alluxio is a proud sponsor and exhibitor at the AWS Summit in New York. If you weren’t able to attend, here are the highlights
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.
In this presentation, Vitaliy Baklikov from DBS Bank and Dipti Borkar from Alluxio will share how DBS Bank has built a modern big data analytics stack leveraging an object store as persistent storage even for data-intensive workloads and how it uses Alluxio to orchestrate data locality and data access for Spark workloads. In addition, deploying Alluxio to access data, solves many challenges that cloud deployments bring with separated compute and storage.
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.
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.