AdBench: a complete benchmark for modern data pipelines
M Bhandarkar - … Evaluation and Benchmarking. Traditional-Big Data …, 2017 - Springer
Since the introduction of Apache YARN, which modularly separated resource management
and scheduling from the distributed programming frameworks, a multitude of YARN-native …
and scheduling from the distributed programming frameworks, a multitude of YARN-native …
Cirrodata: Yet another SQL-on-hadoop data analytics engine with high performance
This paper presents CirroData, a high-performance SQL-on-Hadoop system designed for
Big Data analytics workloads. As a home-grown enterprise-level online analytical …
Big Data analytics workloads. As a home-grown enterprise-level online analytical …
ADABench-towards an industry standard benchmark for advanced analytics
The digital revolution, rapidly decreasing storage cost, and remarkable results achieved by
state of the art machine learning (ML) methods are driving widespread adoption of ML …
state of the art machine learning (ML) methods are driving widespread adoption of ML …
Run-time performance optimization of a BigData query language
Y Liu, P Dube, SC Gray - Proceedings of the 5th ACM/SPEC …, 2014 - dl.acm.org
JAQL is a query language for large-scale data that connects BigData analytics and
MapReduce framework together. Also an IBM product, JAQL's performance is critical for IBM …
MapReduce framework together. Also an IBM product, JAQL's performance is critical for IBM …
Weld: A common runtime for high performance data analytics
© 2017 Conference on Innovative Data Systems Research (CIDR). All rights reserved.
Modern analytics applications combine multiple functions from different libraries and …
Modern analytics applications combine multiple functions from different libraries and …
A study of SQL-on-Hadoop systems
Y Chen, X Qin, H Bian, J Chen, Z Dong, X Du… - Big Data Benchmarks …, 2014 - Springer
Hadoop is now the de facto standard for storing and processing big data, not only for
unstructured data but also for some structured data. As a result, providing SQL analysis …
unstructured data but also for some structured data. As a result, providing SQL analysis …
HaLoop: Efficient iterative data processing on large clusters
The growing demand for large-scale data mining and data analysis applications has led
both industry and academia to design new types of highly scalable data-intensive computing …
both industry and academia to design new types of highly scalable data-intensive computing …
Apache tez: A unifying framework for modeling and building data processing applications
The broad success of Hadoop has led to a fast-evolving and diverse ecosystem of
application engines that are building upon the YARN resource management layer. The open …
application engines that are building upon the YARN resource management layer. The open …
Challenging SQL-on-hadoop performance with apache druid
Abstract In Big Data, SQL-on-Hadoop tools usually provide satisfactory performance for
processing vast amounts of data, although new emerging tools may be an alternative. This …
processing vast amounts of data, although new emerging tools may be an alternative. This …
[PDF][PDF] Impala: A modern, open-source sql engine for hadoop
M Bittorf, T Bobrovytsky, C Erickson… - Proceedings of the …, 2015 - pages.cs.wisc.edu
Cloudera Impala is a modern, open-source MPP SQL engine architected from the ground up
for the Hadoop data processing environment. Impala provides low latency and high …
for the Hadoop data processing environment. Impala provides low latency and high …