Add to ORKGSquall is a scalable online query engine that runs complex analytics in a cluster using skew-resilient, adaptive operators. Squall builds on state-of-the-art partitioning schemes and local algorithms, including some of our own. This paper presents the overview of Squall, including some novel join operators. The paper also presents lessons learned over the five years of working on this system, and outlines the plan for the proposed system demonstration
textabstractWe describe a system that incrementally translates SPARQL queries to Pig Latin and execu...
In this work, we detail the design and structure of a Synopses Data Engine (SDE) which combines the ...
Abstract. We describe a system that incrementally translates SPARQL queries to Pig Latin and execute...
Squall is a scalable online query engine that runs complex analytics in a cluster using skew-resilie...
With the advent of emerging technologies and the Internet of Things, the importance of online data a...
Current cluster computing frameworks suffer from load imbalance and limited parallelism due to skewe...
This thesis targets the growing area of interactive data analytics engines. It builds upon a system ...
This paper introduces Quill (stands for a quadrillion tuples per day ), a li...
We describe a system that incrementally translates SPARQL queries to Pig Latin and executes them on ...
International audienceThe current cloud landscape is getting populated with many applications that a...
In the last decade, real-time data processing has attracted much attention from both academic commun...
Distributed interactive analytics engines (Druid, Redshift, Pinot) need to achieve low query latenc...
In the last decade, the world wide web has grown from being a platform where users passively viewed ...
There is high demand for techniques and tools to process and analyze large sets of streaming data in...
The ever increasing diversity of data analytics and AI applications has had a tremendous impact on t...
textabstractWe describe a system that incrementally translates SPARQL queries to Pig Latin and execu...
In this work, we detail the design and structure of a Synopses Data Engine (SDE) which combines the ...
Abstract. We describe a system that incrementally translates SPARQL queries to Pig Latin and execute...
Squall is a scalable online query engine that runs complex analytics in a cluster using skew-resilie...
With the advent of emerging technologies and the Internet of Things, the importance of online data a...
Current cluster computing frameworks suffer from load imbalance and limited parallelism due to skewe...
This thesis targets the growing area of interactive data analytics engines. It builds upon a system ...
This paper introduces Quill (stands for a quadrillion tuples per day ), a li...
We describe a system that incrementally translates SPARQL queries to Pig Latin and executes them on ...
International audienceThe current cloud landscape is getting populated with many applications that a...
In the last decade, real-time data processing has attracted much attention from both academic commun...
Distributed interactive analytics engines (Druid, Redshift, Pinot) need to achieve low query latenc...
In the last decade, the world wide web has grown from being a platform where users passively viewed ...
There is high demand for techniques and tools to process and analyze large sets of streaming data in...
The ever increasing diversity of data analytics and AI applications has had a tremendous impact on t...
textabstractWe describe a system that incrementally translates SPARQL queries to Pig Latin and execu...
In this work, we detail the design and structure of a Synopses Data Engine (SDE) which combines the ...
Abstract. We describe a system that incrementally translates SPARQL queries to Pig Latin and execute...