Accelerate Analytics and ML in the Hybrid Cloud Era
Alluxio Tech Talk *
In this talk, we will walk through what Alluxio’s Data Orchestration for the hybrid cloud era is and how it solves the performance and data management challenges we see.
Tech Talks
Optimizing Latency-Sensitive Queries for Presto at Facebook: A Collaboration Between Presto & Alluxio
IDEAS online webinar *
For many latency-sensitive SQL workloads, Presto is often bound by retrieving distant data. In this talk, Rohit Jain, James Sun from Facebook and Bin Fan from Alluxio will introduce their teams’ collaboration on adding a local on-SSD Alluxio cache inside Presto workers to improve unsatisfied Presto latency.
Accelerating Queries on Cloud Data Lakes
ITPro Today Webinar *
Join us for this webinar where Alex Ma of Alluxio, an open source data orchestration platform, will discuss how a data orchestration approach offers a solution for connecting traditional on-prem data centers with the cloud, data centers with other data centers, and clouds with other clouds. With Alluxio’s “zero-copy” burst solution, companies can bridge remote data centers with computing frameworks in other locations, enabling them to offload compute and leverage the flexibility, scalability, and power of the cloud for their remote data.
Enabling Hybrid Cloud Analytics and AI with Data Orchestration
IoT World Today Webinar *
Adit Madan and Parviz Peiravi offer an overview of the Alluxio data orchestration layer that provides a unified data access layer for hybrid and multi cloud deployments, leveraging Intel® Optane™ Persistent Memory for higher performance caching at reduced cost. The data access layer enables distributed compute engines like Presto, TensorFlow, and PyTorch to transparently access data from various storage systems (including S3, HDFS, and Azure) while actively leveraging a multi-tier cache to accelerate data access.
Build a hybrid data lake and burst processing to Google Cloud Dataproc with Alluxio
Alluxio Tech Talk *
Join us for this tech talk where we will show you how Alluxio can help burst your private computing environment to Google Cloud, minimizing costs and I/O overhead. Alluxio coupled with Google’s open source data and analytics processing engine, Dataproc, enables zero-copy burst for faster query performance in the cloud so you can take advantage of resources that are not local to your data, without the need for managing the copying or syncing of that data.
CNCF Member Webinar: Improving Data Locality for Analytics Jobs on Kubernetes Using Alluxio
CNCF Webinar *
In the on-prem days, one key performance optimization for Apache Hadoop or Apache Spark workloads is to run tasks on nodes with local HDFS data. However, while adoption of the Cloud & Kubernetes makes scaling compute workloads exceptionally easy, HDFS is often not an option. Effectively accessing data from cloud-native storage services like AWS S3 or even on-premises HDFS becomes harder as data locality is lost.
Accelerating analytics in the cloud with the Starburst Presto + Alluxio stack
Alluxio Tech Talk *
Join us for this tech talk where we’ll introduce the Starburst Presto, Alluxio, and cloud object store stack for building a highly-concurrent and low-latency analytics platform.
Integrating Google Cloud Dataproc with Alluxio for faster performance in the cloud
Alluxio Teck Talk *
Learn how to set up Google Cloud Dataproc with Alluxio so jobs can seamlessly read from and write to Cloud Storage. See how to run Dataproc Spark against a remote HDFS cluster.
How the Development Bank of Singapore solves on-prem compute capacity challenges with cloud bursting
Alluxio Tech Talk *
In this tech talk, we’ll discuss why DBS turned to Alluxio’s bursting approach to help solve on-prem compute capacity challenges.