Demonstration of the Myria big data management service

Abstract

In this demonstration, we will showcase Myria, our novel cloud service for big data management and analytics designed to improve productivity. Myria's goal is for users to simply upload their data and for the system to help them be self-sufficient data science experts on their data -self-serve analytics. From a web browser, Myria users can upload data, author efficient queries to process and explore the data, and debug correctness and performance issues. Myria queries are executed on a scalable, parallel cluster that uses both state-ofthe-art and novel methods for distributed query processing. Our interactive demonstration will guide visitors through an exploration of several key Myria features by interfacing with the live system to analyze big datasets over the web.

The BigDAWG Polystore System

“…In BigDAWG, two systems developed by ISTC members will be used as initial islands, and we will build additional ones as we go along. The two initial systems are Myria [13], which uses relational-style semantics plus iteration, and D4M [15], which implements a novel data model based on associative arrays. In our prototype, both islands will mediate access to MIMIC II data stored in the same engines (Accumulo, SciDB, S-Store, and Postgres).…”

The BigDawg monitoring framework

“…In BigDawg, we have multiple groups working on islands. One is using a relational model [3] and the second is using associative arrays [4]. Since both islands include the same data (MIMIC II) stored in the same engines, we will have to support multiple islands over the same data.…”

Big-Data Management Use-Case

“…An additional column captures the timestep where the edge belongs. Myria supports multiple query languages [7] …”

“…Myria was developed by the database group at the University of Washington over the past year and a half and will be demonstrated at SIGMOD 2014[7].…”