Apache Wayang: A Unified Data Analytics Framework

Author:

Beedkar Kaustubh1,Contreras-Rojas Bertty2,Gavriilidis Haralampos2,Kaoudi Zoi3,Markl Volker2,Pardo-Meza Rodrigo2,Quiané-Ruiz Jorge-Arnulfo3

Affiliation:

1. Indian Institute of Technology Delhi

2. Technische Universit¨at Berlin

3. IT University of Copenhagen

Abstract

The large variety of specialized data processing platforms and the increased complexity of data analytics has led to the need for unifying data analytics within a single framework. Such a framework should free users from the burden of (i) choosing the right platform( s) and (ii) gluing code between the different parts of their pipelines. Apache Wayang (Incubating) is the only open-source framework that provides a systematic solution to unified data analytics by integrating multiple heterogeneous data processing platforms. It achieves that by decoupling applications from the underlying platforms and providing an optimizer so that users do not have to specify the platforms on which their pipeline should run. Wayang provides a unified view and processing model, effectively integrating the hodgepodge of heterogeneous platforms into a single framework with increased usability without sacrificing performance and total cost of ownership. In this paper, we present the architecture ofWayang, describe its main components, and give an outlook on future directions.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems,Software

Reference16 articles.

1. The Unified Apache Beam Model. https://beam.apache.org. Retrieved May , 2023 . The Unified Apache Beam Model. https://beam.apache.org. Retrieved May, 2023.

2. Databloom ai : https://www.databloom.ai/ , 2022 . Databloom ai: https://www.databloom.ai/, 2022.

3. D. Agrawal Rheem: enabling cross-platform data processing -- may the big data be with you! In PVLDB , 2018 . D. Agrawal et al. Rheem: enabling cross-platform data processing -- may the big data be with you! In PVLDB, 2018.

4. Apache Calcite

5. NADEEF

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