Getting Started with the Alluxio-Presto Sandbox

The Alluxio-Presto sandbox is a docker application featuring installations of MySQL, Hadoop, Hive, Presto, and Alluxio. The sandbox lets you easily dive into an interactive environment where you can explore Alluxio, run queries with Presto, and see the performance benefits of using Alluxio in a big data software stack.

Hybrid Environments for Data Analytics is a Possibility

As the data ecosystem becomes massively complex and more and more disaggregated, data analysts and end users have trouble adapting and working with hybrid environments. The proliferation of compute applications along with storage mediums leads to a hybrid model that we are just not accustomed to.
With this disaggregated system data engineers now come across a multitude of problems that they must overcome in order to get meaningful insights.

How do you partition Hive Table across storage systems using Alluxio?

Today when we create a Hive table, it is a common technique to partition the table across different values and ranges to improve query performance and reduce maintenance cost. However, Hive can not  access a single table directly using a single query with the data of this Hive table across different mediums of storage and … Continued

Recap: Spark+AI Summit 2019

Alluxio is a proud sponsor and exhibitor of Spark+AI Summit in San Francisco.
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).

Accelerate and Scale Big Data Analytics and Machine Learning Pipelines with Disaggregated Compute and Storage

Alluxio | SwiftStack Webinar *

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. Swiftstack provides a massively parallel cloud object storage and multi-cloud data management system. Alluxio is a data orchestration layer, which sits between compute frameworks and storage systems and enables big data workloads to be deployed directly on SwiftStack. Alluxio provides data locality, accessibility and elasticity via its core innovations. With the Alluxio and Swiftstack solution, Spark, Presto, Tensorflow and Hive and other compute workloads can benefit from 10X performance improvement and dramatically lower costs.

Production Spark and Tachyon Use Cases

Spark Summit Europe *

During the past several years, Spark has significantly changed the landscape of big data computing. It improves performance of various applications dramatically. However, in certain Spark use cases, the bottleneck is in the I/O stack. In this talk, we will introduce Tachyon, a distributed memory-centric storage system. In addition, we will talk about several production use cases where Tachyon further improves Spark applications’ performance by orders of magnitude.

Fast big data analytics and machine learning using Alluxio and Spark in Baidu

Strata+Hadoop World San Jose *

A few months ago, Baidu deployed Alluxio to accelerate its big data analytics workload. Bin Fan and Haojun Wang explain why Baidu chose Alluxio, as well as the details of how they achieved a 30x speedup with Alluxio in their production environment with hundreds of machines. Based on the success of the big data analytics engine, Baidu is currently expanding the Alluxio and Spark infrastructure to accelerate other applications, such as machine learning.