Results 31 to 40 of about 5,534 (158)

Discovery of medical Big Data analytics: Improving the prediction of traumatic brain injury survival rates by data mining Patient Informatics Processing Software Hybrid Hadoop Hive

Informatics in Medicine Unlocked, 2015
Entering medical encounter data by hand is time-consuming. In addition, data are often not entered into the database in a timely enough fashion to enable their use for subsequent mission planning.
James A. Rodger
doaj   +1 more source

Integrazione di Apache Hive con Spark

CoRR, 2019
in ...
Michele Gentile, Massimiliano Morrelli
openaire   +2 more sources

Database integrated analytics using R : initial experiences with SQL-Server + R [PDF]

, 2016
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Berral, Josep Ll., Poggi, Nicolas
core   +2 more sources

Apache Hive

Proceedings of the 2019 International Conference on Management of Data, 2019
SIGMOD'19, 14 ...
Jesús Camacho-Rodríguez, Ashutosh Chauhan, Alan Gates, Eugene Koifman, Owen O'Malley, Vineet Garg, Zoltan Haindrich, Sergey Shelukhin, Prasanth Jayachandran, Siddharth Seth, Deepak Jaiswal, Slim Bouguerra, Nishant Bangarwa, Sankar Hariappan, Anishek Agarwal, Jason Dere, Daniel Dai, Thejas Nair, Nita Dembla, Gopal Vijayaraghavan, Günther Hagleitner   +20 more
openaire   +2 more sources

Advancing Organic Chemistry Using High‐Throughput Experimentation

Angewandte Chemie, Volume 137, Issue 40, September 26, 2025.
This review outlines major advances in the design, execution, analysis, and data management phases of high‐throughput experimentation (HTE). The limitations and potential opportunities of applying modern HTE to organic synthesis are highlighted. Abstract High‐throughput experimentation (HTE), the miniaturization and parallelization of reactions, is a ...
Reem Nsouli, Gaurav Galiyan, Laura K. G. Ackerman‐Biegasiewicz   +2 more
wiley   +2 more sources

A comparison of HDFS compact data formats: Avro versus Parquet / HDFS glaustųjų duomenų formatų palyginimas: Avro prieš Parquet

Mokslas: Lietuvos Ateitis, 2017
In this paper, file formats like Avro and Parquet are compared with text formats to evaluate the performance of the data queries. Different data query patterns have been evaluated. Cloudera’s open-source Apache Hadoop distribution CDH 5.4 has been chosen
Daiga Plase, Laila Niedrite, Romans Taranovs   +2 more
doaj   +1 more source

The state of SQL-on-Hadoop in the cloud [PDF]

, 2016
Managed Hadoop in the cloud, especially SQL-on-Hadoop, has been gaining attention recently. On Platform-as-a-Service (PaaS), analytical services like Hive and Spark come preconfigured for general-purpose and ready to use.
Berral García, Josep Lluís, Blakeley, Jose, Carrera Pérez, David, Fenech, Thomas, Minhas, Umar F., Poggi, Nicolas, Vujic, Nikola   +6 more
core   +1 more source

DualTable: A Hybrid Storage Model for Update Optimization in Hive

, 2014
Hive is the most mature and prevalent data warehouse tool providing SQL-like interface in the Hadoop ecosystem. It is successfully used in many Internet companies and shows its value for big data processing in traditional industries.
Hu, Songlin, Huang, Shuo, Jacobsen, Hans-Arno, Liang, Ying, Liu, Wantao, Pei, Xubin, Rabl, Tilmann, Wang, Jiye, Xiao, Zheng   +8 more
core   +1 more source

D-SPACE4Cloud: A Design Tool for Big Data Applications [PDF]

, 2016
The last years have seen a steep rise in data generation worldwide, with the development and widespread adoption of several software projects targeting the Big Data paradigm.
A Aleti, A Castiglione, A Verma, E Vianna, ED Lazowska, F Brosig, HV Jagadish, K Kambatla, KH Lee, M Bertoli, M Malekimajd, M Tribastone, MR Garey, S Becker, W Zhang, Z Zhang   +15 more
core   +2 more sources

COLLABORATIVE APPROACH FOR TREND ANALYSIS USING CLUSTERING MECHANISMS AND BIG DATA TECHNOLOGIES

ICTACT Journal on Soft Computing, 2018
The rapid growth in technologies and social media provides us the enormous amount of data, and it opens a wider window for researchers to work on such data. One of the critical analyses of the data is to check the changing trends in data.
Shefali Arora, Ruchi Mittal, M.P.S Bhatia   +2 more
doaj   +1 more source