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Information Management Technologies for Big Data: A Case of Oracle

Published: 13 November 2017 Publication History

Abstract

During the last decade the volume, the rate of accumulation and the diversity of data in general have been steadily increasing, which leads to the rapid development of Big data and technological enhancements associated with it. Many leading companies in the area took the challenge and provided different solutions to manage Big data. New hardware and software technologies are introduced for information management. The paper analyzes the main Big data technologies provided by Oracle as well their implementation in several specific cases.

References

[1]
D. Laney. 2012. The Importance of 'Big data': A Definition, Gartner.
[2]
Heterogeneity Activity Recognition Data Set https://archive.ics.uci.edu/ml/datasets/Heterogeneity+Activity+Recognition
[3]
Apache Hadoop, Wikipedia. https://en.wikipedia.org/wiki/Apache_Hadoop
[4]
What is MapReduce https://www-01.ibm.com/software/data/infosphere/hadoop/mapreduce/
[5]
Yegulalp, S.10 ways to query Hadoop with SQL, http://www.infoworld.com/article/2683729/hadoop/10-ways-to-query-hadoop-with-sql.html
[6]
Oracle® Big data Appliance https://docs.oracle.com/cd/E37231_01/doc.20/e36963.pdf
[7]
Big data Connectors User's guide, https://docs.oracle.com/cd/E37231_01/doc.20/e36961/sqlch.htm
[8]
Creating external tables from Hive tables, https://docs.oracle.com/cd/E37231_01/doc.20/e36961/sqlch.htm#BDCUG361
[9]
Oracle Database Gateways, http://www.oracle.com/technetwork/database/gateways/gateways-fov-133149.pdf
[10]
Oracle Big data Connectors User's Guide https://docs.oracle.com/cd/E53435_01/doc/doc.30/e53067/osch.htm#BDCUG125
[11]
Oracle R Advanced Analytics for Hadoop 2.7.0 Release Notes http://www.oracle.com/technetwork/database/database-technologies/bdc/r-advanalytics-for-hadoop/documentation/oraah-2-7-0-release-notes-3386220.pdf
[12]
Publish (Oracle NoSQL Database API) - Oracle Help Center https://docs.oracle.com/cd/E35584_01/.../oracle/.../Publish.htm/
[13]
Oracle NoSQL Database Concepts Manual http://docs.oracle.com/cd/NOSQL/html/ConceptsManual/Oracle-NoSQLDB-Concepts.pdf
[14]
Big Data Connectors User's Guide https://docs.oracle.com/cd/E27101_01/doc.10/e27365/olh.htm
[15]
Watson, Hugh J. 2014. "Tutorial: Big Data Analytics: Concepts, Technologies, and Applications," Communications of the Association for Information Systems: Vol. 34, Article 65, http://aisel.aisnet.org/cais/vol34/iss1/65
[16]
Z. Kovacheva, I. Naydenova, K. Kaloyanova, K. Markov, "Big Data Mining: In-Database Oracle Data Mining Over Hadoop", AIP Conference Proceedings 1863, 040003 (2017); 2017
[17]
Oracle NoSQL Database, http://www.oracle.com/technetwork/database/database-technologies/nosqldb/overview/index.html

Cited By

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  • (2019)Utilizing Big Data for Enhancing Passenger Safety in Railway StationsIOP Conference Series: Materials Science and Engineering10.1088/1757-899X/603/5/052031603(052031)Online publication date: 18-Sep-2019

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    cover image ACM Other conferences
    AWICT 2017: Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication Technologies
    November 2017
    116 pages
    ISBN:9781450353106
    DOI:10.1145/3231830
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 13 November 2017

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    Author Tags

    1. Database
    2. MapReduce
    3. NoSQL
    4. RDBMS

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    • (2019)Utilizing Big Data for Enhancing Passenger Safety in Railway StationsIOP Conference Series: Materials Science and Engineering10.1088/1757-899X/603/5/052031603(052031)Online publication date: 18-Sep-2019

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