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Tech Review 3.Cdr Jul - Dec- 2018 TRINITY INSTITUTE OF PROFESSIONAL STUDIES Dwarka, Sector-9, New Delhi Trinity Tech Review Advisors Dr. R.K. Tandon Chairman, Big Data Analytics(Hadoop) 3 TIPS, Dwarka Data Security using RSA Algorithm 6 Ms. Reema Tandon Vice Chairperson in Cloud Computing TIPS, Dwarka Dark Web 9 Editor-in-Chief Network Security and Types of 11 Prof. (Dr.) Vikas Rao Vadi Attacks in Network Director, TIPS Dwarka Cyber Crime 13 Editorial Board Prof. (Dr.) Sunil Kumar Khatri Director, AIIT, Amity University, Noida Prof. Prashant Johri Director, Galgotia University Prof. Naveen Kumar Associate Professor, IGNOU Prof. (Dr.) Saurabh Gupta HOD (CSE) Dept, NIEC Ms. Ritika Kapoor Assistant Professor, TIPS, Dwarka Vol 4, Issue 2 Trinity Tech Review Jul Dec 2018 Disclaimer: The views and opinions presented in the articles, case studies, research work and other contributions published in Trinity Tech Review (TTR) are solely attributable to the authors of respective contributions. If these are contradictory to any particular person or entity, TTR shall not be liable for the present opinions, inadequacy of the information, any mistakes or inaccuracies. Copyright © March 2015 Trinity Institute of Professional Studies, Dwarka. All rights reserved. No part of this publication may be reproduced, distributed, or transmitted in any form or by means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the under mentioned. Trinity Institute of Professional Studies An ISO 9001:2008 Certified Institution (Affiliated to Guru Gobind Singh Indraprastha University, Delhi) Sector-9, Dwarka, New Delhi-110075 Ph: 45636921/22/23/24, Telefax : 45636925 www.tips.edu.in, [email protected] TRINITY INSTITUTE OF PROFESSIONAL STUDIES Affiliated to Guru Gobind Singh Indraprastha University, Delhi) “A+” Ranked Institution by SFRC, Govt. of NCT of Delhi. Recognised under section 2(f) of the UGC Act, 1956 & NAAC Accredited “B++” Grade Institution Vol 4 Issue 2 Page 1 Trinity Tech Review Jul Dec 2018 STATEMENT ABOUT OWNERSHIP AND OTHER DETAILS OF TTR/TMR FORM 5 (RULE 8) 1. Printer's Name : Dr. R.K. Tandon Nationality : Indian Address : Trinity Institute of Professional Studies Sector-9, Dwarka, New Delhi 110075 2. Place of Publication : Delhi 3. Periodicity of Publication : Quarterly 4. Publisher's Name : Dr. R.K. Tandon Nationality : Indian Address : Trinity Institute of Professional Studies Sector-9, Dwarka, New Delhi 110075 5. Editor's Name : Dr. Vikas Rao Vadi Nationality : Indian Address : Trinity Institute of Professional Studies Sector-9, Dwarka, New Delhi 110075 6. Name and Address of the : CHAIRMAN individual who owns the Trinity Institute of Professional Studies journal and partners or Sector-9, Dwarka, New Delhi 110075 shareholders holding more than one per cent of the capital. 7. Hosted at (url) : www.tips.edu.in I, Dr. R.K. Tandon, hereby declare that the particulars given above are true to the best of my knowledge and belief. Dr. R.K. Tandon Vol 4 Issue 2 Page 2 Trinity Tech Review Jul Dec 2018 BIG DATA ANALYTICS(H) R K A P, CS IT D., TIPS D society , including mobile services, retail, manufacturing, financial services, life sciences, and physical sciences. The Big Data is the most prominent paradigm now-a- The Slogan Digital sky Survey has today become a central days. The promise of data driven decision making is now resource for astronomers all over the world. The field of being recognized broadly, and there is growing Astronomy is being transformed from one where the enthusiasm for the notion of “Big Data”.Big data is a term pictures of the sky was a large part of an astronomers job that describes the large volume of data – both structured to one where the pictures are all in a database already and and unstructured – that overwhelms a business on a day- the astronomers task is to find interesting objects and to-day basis. But it's not the amount of data that's phenomenon in the database. Big Data has the potential to important. It's what organizations do with the data that revolutionize not just research but also education. matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves. The Big The sheer size of the data is a major challenge and is the Data started its rule slowly in 2003, and expected to rule one that can be easily recognized. The analysis of data and dominate the IT industries at least up to 2030.. The involves two categories of data - Structured Data and Big Data is blasting everywhere around the World in Unstructured Data. every domain. The Big Data, a massive amount of data, is able to generate billions of revenue. The secret behind of Structured data refers to the data which has a pre-defined these billions of revenue is ever growing volume. This data model structure and is often relational in nature and paper presents the redefinition of volume of Big Data. The can be easily managed and consumed using the traditional volume is redefined by engaging three other V's, namely, tools/techniques. Unstructured data includes flat files, volume, variety, and velocity. 3Vs (volume, variety and spread sheets, Word documents, emails, images, audio velocity) are three defining properties or dimensions of files, video files, feeds, PDF files, scanned documents, etc. big data. However, the storage and analysis of large amount of high-speed real-time smart building data is a challenging task. There are a number of contemporary Big Data management technologies and advanced analytics techniques that can be used to deal with this challenge. There is a need for an integrated IoT Big Data Analytics (IBDA) framework to fill the research gap in the Big Data Analytics domain. The initial version of the IBDA framework has been developed by using Python and the Big Data Cloud era platform. This paper covers the categorization of big data, its popularity on the web What is Big Data? abilities, data available, gains, tools, techniques and applications. One primary conclusion is how Big Data can Big data is a buzzword, catch-phrase, used to describe a be dealt effectively and with precision. massive volume of both structured and unstructured data that is so large that it's difficult to process using traditional Keywords: Volume, Variety, Velocity, IoT big data database and software techniques. Big data helps us to analytics scan and analyse newspaper reports or social media fees so that we can permanently keep speed on the latest I developments in industry and environment Ÿ Keeping data safe- In a broad range of application areas, Data is being Big data tools allow us to map the entire data landscape collected at unprecedented scale. Decisions that were across the country. We can previously based on guesswork or on models of reality resources. The Hadoop open-source framework uses a can now be based on the data itself. Such Big Data simple programming model to enable distributed analysis now drives nearly every aspect of our modern processing of large data sets on clusters of computers. Vol 4 Issue 2 Page 3 Trinity Tech Review Jul Dec 2018 requires years of professional experience in the Big Data field. If you have the skills listed here, you're on the right track: Ÿ Marketing and analytical skills: The ability to process and analyze data to understand the behavior of the buyer/customer. Ÿ RDMSs (Relational Database Management Systems) or Foundational database skills Ÿ The ability to implement and use NoSQL, Cloud Computing, and Map Reduce Ÿ Skills in statistics and applied math. Ÿ Data visualization and data migration Moreover, your role as a data architect will be of more importance as many businesses are now turning to data The Apache Hadoop Framework architects than a data analyst or a database engineer. The base Apache Hadoop framework is composed of the following modules: The Securities Exchange Commission (SEC) is using Ÿ Hadoop Common – contains libraries and utilities big data to monitor financial market activity. They are needed by other Hadoop modules; currently using network analytics and natural language Ÿ Hadoop YARN – a resource-management platform processors to catch illegal trading Communications, responsible for managing computing resources in Media and Entertainment-Since consumers expect rich clusters and using them for scheduling of users' media on-demand in different formats and in a variety of applications; and devices, some big data challenges in the communications, Ÿ HadoopMapReduce –an implementation of the Map media and entertainment industry include: Reduce Ÿ Programming model for large scale data processing. 1. Collecting, analyzing, and utilizing consumer insights 2. Leveraging mobile and social media content Role of Big Data Hadoop Architect 3. Understanding patterns of real-time, media content usage What does a Big Data Hadoop Architect do? Applications of big data in the Communications, media Typically, a Big Data Hadoop architect addresses specific and entertainment industry are: Big Data problems and requirements. If you take up this role, you will be expected to describe the structure and Organizations in this industry simultaneously analyze behavior of a Big Data solution utilizing the Hadoop customer data along with behaviourial data to create technology. detailed customer profiles that can be used to: You will need to cater to the needs of the organization as i. Create content for different target audiences well as Big Data specialists and engineers, and act as a link between them. Any organization that wants to build a ii. Recommend content on demand Big Data environment will require a Big Data architect iii. Measure content performance who can manage the complete life cycle of a Hadoop solution – including requirement analysis, platform Spotify, an on-demand music service, uses Hadoop selection, design of technical architecture, design of big data analytics, to collect data from its millions of application design and development, testing, and users worldwide and then uses the analyzed data to deployment of the proposed solution.
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