header
Image from OpenLibrary

An efficient advanced sql{u2013}to-mapreduce translator to improve big data analysis on the cloud computing environment / Fawzya Ramadan Sayed Hassan ; Supervised Ibrahim Farag , Mohamed H. Khafagy

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Fawzya Ramadan Sayed Hassan , 2015Description: 93 P. : charts ; 30cmOther title:
  • مترجم فعال من لغة الاستعلامات المتقدمه إلى خرائط الحد وذلك لتحسين تحليل البيانات الضخمة على بيئة الحوسبة السحابية [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science Summary: MapReduce has become an effective framework for processing and analysing huge data size in large systems. On the other hand, SQL Query is necessary to build an efficient and flexible SQL translator to MapReduce framework. The need of optimized SQL translator that can deal with advanced queries is very necessary, which can increase the performance of data analysis with growing of Big Data. Hive supports queries which called HiveQL. HiveQL offers the same features as SQL, which still difficult to deal with complex SQL queries. Consequently, manual translation of HiveQL often leads to poor performance. Also, Flink has become an effective framework to Big Data analysis in large cluster systems. On the other hand, FLink doesn{u2019}t support any Query language. So, the designing and implementing SQL to FLink Translator is needed to execute SQL Query over FLink. The work in this thesis adopts these limitations of SQL translators and proposes two contributions which considered as SQL{u2013}to-MapReduce translators to improve Big Data analysis
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2015.Fa.E (Browse shelf(Opens below)) Not for loan 01010110067759000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2015.Fa.E (Browse shelf(Opens below)) 67759.CD Not for loan 01020110067759000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science

MapReduce has become an effective framework for processing and analysing huge data size in large systems. On the other hand, SQL Query is necessary to build an efficient and flexible SQL translator to MapReduce framework. The need of optimized SQL translator that can deal with advanced queries is very necessary, which can increase the performance of data analysis with growing of Big Data. Hive supports queries which called HiveQL. HiveQL offers the same features as SQL, which still difficult to deal with complex SQL queries. Consequently, manual translation of HiveQL often leads to poor performance. Also, Flink has become an effective framework to Big Data analysis in large cluster systems. On the other hand, FLink doesn{u2019}t support any Query language. So, the designing and implementing SQL to FLink Translator is needed to execute SQL Query over FLink. The work in this thesis adopts these limitations of SQL translators and proposes two contributions which considered as SQL{u2013}to-MapReduce translators to improve Big Data analysis

Issued also as CD

There are no comments on this title.

to post a comment.