News

In this episode, Woods and Mih discussed what it’s like for an early adopter trying to create a data platform in the modern environment. Their conversation focused on creating a data layer that allows abstraction in front of many different data sources so that companies can, in an orderly fashion, refactor what’s underneath and move it to where it’s optimally stored and optimally delivered. This is what Alluxio was designed to do.

Alluxio, the developer of open source cloud data orchestration software, today announced the availability of Alluxio Structured Data Service (SDS) featuring a data Catalog Service and Transformation Service, two new major architectural components of its Data Orchestration Platform. Data engineers, architects and developers can now spend less resources storing data and more time delivering data to analytical compute engines.

It’s time for data engineers, architects and developers to spend less resources storing data and more time delivering data to analytical compute engines. Alluxio has made available Structured Data Service (SDS) featuring a data Catalog Service and Transformation Service. These are two new major architectural components of its Data Orchestration Platform.

According to a new press release, “Alluxio, the developer of open source cloud data orchestration software, today announced the availability of Alluxio Structured Data Service (SDS) featuring a data Catalog Service and Transformation Service, two new major architectural components of its Data Orchestration Platform. Data engineers, architects and developers can now spend less resources storing data and more time delivering data to analytical compute engines. As users and enterprises leverage widely-available analytics engines such as Presto, Apache Spark SQL or Apache Hive, they often run into inefficient data formats and face performance challenges.

Alluxio, developer of open source cloud data orchestration software, has introduced Alluxio Structured Data Service (SDS) featuring a data Catalog Service and Transformation Service, two new major architectural components of its Data Orchestration Platform. This will enable engineers, architects and developers can now spend fewer resources on storing data and more time delivering data to analytical compute engines.

Ever since Alluxio emerged from the AMPLab, its focus as a data orchestration layer has been to grease the wheels for data initiatives by making remotely stored data appear to be stored locally. Today the company took its silo-busting abstraction layer to new heights with Structured Data Service, which hooks the orchestration layer into existing data catalogs and optimizes data for compute engines rather than storage efficiency.

The newly released Alluxio 2.2 adds new data catalog and transformation capabilities to help organizations bridge the gap between data and analytics.

Open source cloud data software company Alluxio is launching a new Structured Data Service (SDS) that will allow developers and data scientists to benefit from a more simplified data platform that enables connections to different catalogs for access to structured data, with less copies and pipelines and more compute-optimized data.

Data orchestration provider Alluxio has announced the release of three new architectural components as part of its Structured Data Service. The new components include a new Presto connector, a new data catalog service, and a data transformation service.