On-Demand Videos
In this talk, Ojus Save walks you through a demo of how to build AI applications on Zoom. This demo shows you an AI agent that receives transcript data from RTMS and then decides if it has to create action items based on the transcripts that are received.
In this talk, Sandeep Joshi, , Senior Manager at NVIDIA, shares how to accelerate the data access between GPU and storage for AI. Sandeep will dive into two options: CPU- initiated GPUDirect Storage and GPU-initiated SCADA.
Bin Fan, VP of Technology at Alluxio, introduces how Alluxio, a software layer transparently sits between application and S3 (or other object stores), provides sub-ms time to first byte (TTFB) solution, with up to 45x lower latency.
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Video: Presentation Slides: Presentation Slides: Powering Interactive Analytics with Alluxio and Presto from Alluxio, Inc.
For many latency-sensitive SQL workloads, Presto is often bound by retrieving distant data. In this talk, Rohit Jain from Facebook will introduce their teams’ collaboration with Alluxio on adding a local on-SSD Alluxio cache inside Presto workers at Facebook to improve queries with unsatisfied latency.
Presto, an open source distributed SQL engine, is widely recognized for its low-latency queries, high concurrency, and native ability to query multiple data sources. Proven at scale in a variety of use cases at Comcast, GrubHub, FINRA, LinkedIn, Lyft, Netflix, Slack, Zalando, in the last few years Presto experienced an unprecedented growth in popularity in both on-premises and cloud deployments over Object Stores, HDFS, NoSQL and RDBMS data stores.
Delta Lake, a storage layer originally invented by Databricks and recently open sourced, brings ACID capabilities to big datasets held in Object Storage. While initially designed for Spark, Delta Lake now supports multiple query compute engines including Presto.
In this talk we discuss how Presto enables query-time correlations between Delta Lake, Snowflake, and Elasticsearch to drive interactive BI analytics across disparate datasets.
Presto & Alluxio on AWS: How we build a Up-To-Date Data-Platform at Ryte. Video: Presentation Slides: Introducing the Hub for Data Orchestration from Alluxio, Inc.
This talk introduces T3Go’s solution in building an enterprise-level data lake based on Apache Hudi & Alluxio, and how to use Alluxio to accelerate the reading and writing of data on the data lake when compute and storage are segregated.
Unicom’s traditional batch architecture consists mainly of IOE, Hive, and Greenplum systems. With the development of business, a large number of computing application modules based on diverse scenarios, chimney-like, decentralized applications have emerged. To solve the problem of resource fragmentation, we have introduced a unified computing platform for computing ecology with Spark and Alluxio as the core. Alluxio plays an important role in accelerating data processing and ensuring process stability.
Describe benefits and methods Alluxio enables secure data access in the Comcast’s dx hybrid data cloud.
- Review the data access challenges and tradeoffs in hybrid cloud
- Review our hybrid architecture and the important role Alluxio plays
- Provide performance metrics to highlight the benefits
Data infrastructure on-premises is increasingly complex and cloud adoption is attractive for business agility. Operating a hybrid environment is an approach to start benefiting from cloud elasticity quickly without abandoning the infrastructure on-premises. In this session I will discuss the benefits of using Alluxio’s Data Orchestration Platform to dynamically burst Apache Spark and Presto workloads to Amazon EMR for best performance and agility.
Dataproc is Google’s managed Hadoop and Spark platform. In this talk, we will showcase how to swiftly build a hybrid cloud data platform with Alluxio and Presto and migrate data seamlessly.