This blog post discusses the synergy between Trino and Alluxio, and how to deploy Alluxio as the caching layer for Trino. You will learn Why should you choose Alluxio as a cache for Trino How do Trino and Alluxio work together How to configure Alluxio to point to S3 storage like MinIO How to query … Continued
This blog was originally published in the Presto blog: https://prestodb.io/blog/2022/01/28/avoid-data-silos-in-presto-in-meta Alluxio: Rongrong Zhong Meta: James Sun, Ke Wang Raptor is a Presto connector (presto-raptor) that is used to power some critical interactive query workloads in Meta (previously Facebook). Though referred to in the ICDE 2019 paper Presto: SQL on Everything, it remains somewhat mysterious to many Presto users … Continued
This blog was originally published in Razorpay Engineering Blog: https://engineering.razorpay.com/how-trino-and-alluxio-power-analytics-at-razorpay-803d3386daaf Razorpay is a large fintech company in India. Razorpay provides a payment solution that offers a fast, affordable, and secure way to accept and disburse payments online. On the engineering side, the availability and scalability of analytics infrastructure are crucial to providing seamless experiences to … Continued
deep dive into two important areas of active development going forward – table metadata management and caching.
Tags: alluxio day, apache hudi, caching, data lake, metadata management
At Aspect Analytics we intend to use Dask, a distributed computation library for Python, to deal with MSI data stored as large tensors. In this talk we explore using Alluxio and Alluxio FUSE as a data consolidation and caching layer for some of our bioinformatics workflows.
Tags: alluxio day, aspect analytics, caching, dask, fuse
Many Spark users may not be aware of the differences in memory utilization between caching data directly in-memory into the Spark JVM versus storing data off-heap via an in-memory storage service like Alluxio. In this office hour, I will highlight the two approaches with a demo and open up for discussions
Tags: caching, memory, office hour, spark
This talk describes a stack of open-source projects to serve high-concurrent and low-latency SQL queries using Presto with Alluxio on big data in the cloud. Deploying Alluxio as a data orchestration layer to access cloud storage object storage (e.g., AWS S3), this architecture greatly enhances the data locality of Presto with distributed and cross-query caching, thus avoids reading same data repeatedly from the cloud storage.
Tags: caching, cloud storage, data locality, meetup, object storage, presto
Presto is widely used for data science, business analytics, and operations. Presto’s SQL is a main driver for this, as it is ANSI-compliant, easy to ramp-up, and has rich functionality. Given the versatility and flexibility of this software, there is also a huge demand to develop interfaces for other critical data domains like real-time dashboards, stream processing, and large-scale batch computations. We will explore some interesting systems and prototypes to bring Presto to these new domains.
This tutorial guides users to set up a stack of Presto, Alluxio and Hive Metastore on your local server, and it demonstrates how to use Alluxio as the caching layer for Presto queries.