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.
Tag: hybrid cloud
ODSC WEST 2019 Cloud storage brings great flexibility in management and cost-efficiency to data scientists, but also introduces new challenges related to data accessibility and data locality for machine learning applications. For instance, when the input data is stored in a remote cloud storage like AWS S3 or Azure blob storage, direct data access is … Continued
See how Cloudera’s hybrid cloud approach compares to Alluxio.
How do WANdisco and Alluxio hybrid solutions stack up? Learn more.
Background Today’s advanced analytics applications run on more datasets that ever before. The locations of where data “lands” is becoming more dispersed. And the separation of compute and storage in modern environments lends well to running on these distributed datasets. Data can be stored in a remote location from the compute, such as in a … Continued
Kubernetes is widely used across enterprises to orchestrate computation. And while Kubernetes helps improve flexibility and portability for computation in public/hybrid cloud environments across infrastructure providers, running data-intensive workloads can be challenging.
When it comes to efficiently moving data closer to Spark or Presto frameworks, co-locating data with these frameworks and accessing data from multiple or remote clouds is hard to do. That’s where Alluxio, an open source data orchestration platform, can help.
Alluxio enables data locality with your Spark and Presto workloads for faster performance and better data accessibility in Kubernetes. It also provides portability across storage providers.
In this on demand tech talk we’ll give a quick overview of Alluxio and the use cases it powers for Spark/Presto in Kubernetes. We’ll show you how to set up Alluxio and Spark/Presto to run in Kubernetes as well.
We will introduce the key new features and enhancements such as: Support for hyper-scale data workloads, Machine learning and deep learning workloads, and Better storage abstraction.
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
Joint hosted Alluxio New York meetup with talks to include: Embracing hybrid cloud for data-intensive analytic workloads and Alluxio on AWS EMR (fast storage access and sharing for Spark).