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A Novel Architecture to Integrate Multi-Sourcedatain Distributed Environment

Thesis Info

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External Link

Author

Sidra Zulfiqar

Institute

Virtual University of Pakistan

Institute Type

Public

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Software Engineering

Language

English

Link

http://vspace.vu.edu.pk/detail.aspx?id=326

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676721024252

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The amount of data has been increasing over the last few years due to the emergence of various end-user applications. These applications utilize cloud computing infrastructure in the data centers. Apart from the increasing volume of data, there are other factors such as variety, velocity, and veracity of the data which result in the problem of big data. Traditional database management systems are not efficient to handle big data. The use of big data platform is necessary to resolve the big data problem. Hadoop is one of the platforms which resolve the problem of big data. Hadoop uses a distributed storage system. Hive and HBase are some of the big data tools for storing big data in Hadoop. They run on top of Hadoop distributed file system (HDFS). Hive is a data warehouse framework for querying and analysis of data that is stored in HDFS.?Hive?is an open-source software that lets programmers analyze large data sets on Hadoop. HBase is a column-oriented, distributed and high fault-tolerant database. It is used to store and manage big data. It can store billions of rows at a time. Both Hive and HBase can be used to store the big data in Hadoop. When the data comes from multiple sources, it is stored into multiple tables in Hive and HBase. As a result, its performance degrades when there is a need to perform join operations. In this thesis, we propose an architecture which stores data from multiple sources into a single HBase table. A new table schema with a unique row key is designed which integrates multi-source data in a table. There is no need to perform join operation in the proposed technique as the data is integrated into a single HBase table. We evaluated the proposed technique using a real testbed by considering a dataset of two publishers. We compare the performance by storing data into Hive and also in the proposed HBase table. Results show improved query performance of the proposed technique as compared to the traditional approach of using join operations in multiple tables in Hive.
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پروفیسر اکبر رحمانی

پروفیسر اکبر رحمانی
جناب اکبر رحمانی کی وفات ایک قومی و ملی حادثہ ہے، وہ درس و تدریس کے پیشے سے وابستہ تھے، اس کے باوجود بڑی سرگرمی سے تعلیمی، ادبی اور علمی خدمات بھی انجام دے رہے تھے، لیکن وظیفہ یاب ہونے کے بعد وہ محض علمی مشاغل اور تصنیف و تالیف کے لیے وقف ہوگئے تھے، اس کی وجہ سے خیال تھا کہ اب قوم کو ان کی ذہنی و دماغی قابلیت سے زیادہ بہرہ یاب ہونے کا موقع ملے گا، مگر دستِ اجل نے ان کو ہم سے چھین لیا۔ اور ۱۷؍ ستمبر کو وہ جوارِ رحمت میں پہنچ گئے، انااﷲ وانا الیہ راجعون۔
وہ ذیابیطس اور کئی موذی امراض میں مبتلا تھے، گردے بھی خراب ہوگئے تھے، دو سال پہلے حج بیت اﷲ کو تشریف لے گئے تھے وہیں گینگرین کیے سبب سے دائیں پاؤں کا انگوٹھا کاٹنا پڑا۔ اور ہندوستان واپس آنے کے بعد گھٹنے تک دایاں پاؤں کاٹ دیا گیا مگر ایک بندۂ مومن کی طرح وہ ان آزمائشوں کا صبر و شکر سے مقابلہ کرتے اور ہمہ تن اپنے تحریری اور تصنیفی کام انجام دیتے رہے کہ یکایک ان کی وفات کی خبر نے سب کو تڑپا دیا۔
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اکبر صاحب کا خاندانی تعلق لودھیوں سے تھا ان کے آباواجداد ابراہیم لودھی کے زمانے میں ہندوستان آئے، آبائی وطن گنگا پور (اورنگ آباد دکن) تھا ۱۷؍ اکتوبر ۱۹۴۱؁ء کو پیدا ہوئے، ابتدائی و ثانوی تعلیم جلگاؤں میں حاصل کی، اعلیٰ تعلیم پونا اور بمبئی کی یونیورسٹیوں میں پائی، اردو کے علاوہ فارسی، انگریزی، ہندی اور مراٹھی زبانوں سے واقف تھے، ہندی اور مراٹھی کے مضامین اور کہانیوں کے اردو...

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Processing, Characterization, Structure and Ionic Conductivity of Disordered Pyrochlores, Ho2 Zryti1-Y 2O7 Holmium Zirconium-Titanate, Hzt

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