Event Processing in Big Data: Creating Fast Data
Event Processing in Big Data: Creating Fast Data Alexandre Alves, Oracle. Big Data is a term that has been widely hyped by the IT media and vendors. Given the huge amounts of data that...
Category: AI, GenAI, TrustworthyAI, Responsible AI, Big Data, Analytical Data Platforms and Data Science- Articles
Using the HPE Vertica Analytics Platform to Manage Massive Volumes of Smart Meter Data
Using the HPE Vertica Analytics Platform to Manage Massive Volumes of Smart Meter Data The Internet of Things is expected to connect billions of sensors that continuously gather data about the machines, assets, and...
Extracting insights from the shape of complex data using topology
Extracting insights from the shape of complex data using topology P. Y. Lum, G. Singh,A. Lehman,T. Ishkanov,M. Vejdemo-Johansson,M. Alagappan,J. Carlsson & G. Carlsson Scientific Reports 3, Article number: 1236 doi:10.1038/srep01236 Received 13 September 2012...
Topological Methods for the Analysis of High Dimensional Data Sets and 3D Object Recognition
Topological Methods for the Analysis of High Dimensional Data Sets and 3D Object Recognition Gurjeet Singh1 , Facundo Mémoli2 and Gunnar Carlsson†2 1Institute for Computational and Mathematical Engineering, Stanford University, California, USA. 2Department of...
Transactions with Consistency Choices
Transactions with Consistency Choices on Geo-Replicated Cloud Storage Douglas Terry, Vijayan Prabhakaran, Ramakrishna Kotla, Mahesh Balakrishnan, Marcos K. Aguilera Microsoft Research Silicon Valley September 2013, MSR-TR-2013-82 ABSTRACT Pileus is a replicated and scalable key-value...
Traversing Trillions of Edges in Real-time: Graph Exploration on Large-scale Parallel Machines
Traversing Trillions of Edges in Real-time: Graph Exploration on Large-scale Parallel Machines Fabio Checconi, Fabrizio Petrini High Performance Analytics Department IBM TJ Watson, Yorktown Heights, NY 10598 Email: {fchecco,fpetrin}@us.ibm.com Abstract—The world of Big Data...
Scalable Single Source Shortest Path Algorithms for Massively Parallel Systems
Scalable Single Source Shortest Path Algorithms for Massively Parallel Systems Venkatesan T. Chakaravarthy∗, Fabio Checconi†, Fabrizio Petrini†, Yogish Sabharwal∗ ∗ IBM Research – India, New Delhi. {vechakra,ysabharwal}@in.ibm.com † IBM T J Watson Research Center,...
BigDataBench
BigDataBench As a multi-discipline research effort, BigDataBench is an open-source big data benchmark suite. The current version is BigDataBench 3.0. It includes 6 real-world and 2 synthetic data sets, and 32 big data workloads, covering micro...
PoliTwi: Early Detection of Emerging Political Topics on Twitter and the Impact on Concept-Level Sentiment Analysis
PoliTwi: Early Detection of Emerging Political Topics on Twitter and the Impact on Concept-Level Sentiment Analysis Sven Rill, Dirk Reinela, Jörg Scheidt, Institute of Information Systems, University of Applied Sciences Hof, Alfons-Goppel-Platz 1, Hof, Germany...
Fine-grained Partitioning for Aggressive Data Skipping
Fine-grained Partitioning for Aggressive Data Skipping Modern query engines are increasingly being required to process enormous datasets in near real-time. While much can be done to speed up the data access, a promising technique...