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TO BIG DATA  \nAuthor’s Name: Dr. Rajni Bhalla  \nPublished By : Lovely Professional University  \nPublisher Address: Lovely Professional University, Jalandhar Delhi GT road, Phagwara-144411  \nPrinter Detail: Lovely Professional University  \nEdition Detail: (I)  \nISBN: 978-93-94068-26-1  \nCopyrights@ Lovely Professional University  \nCONTENT  \nUnit 1: Introduction to Big Data 1  \nDr. Rajni Bhalla, Lovely Professional University  \nUnit 2: Foundations of Big Data 21  \nDr. Rajni Bhalla, Lovely Professional University  \nUnit 3: Data Models 37  \nDr. Rajni Bhalla, Lovely Professional University  \nUnit 4: NOSQL Management 55  \nDr. Rajni Bhalla, Lovely Professional University  \nUnit 5: Introduction to Hadoop 87  \nDr. Rajni Bhalla, Lovely Professional University  \nUnit 6: Hadoop Administration 112  \nDr. Rajni Bhalla, Lovely Professional University  \nUnit 7: Hadoop Architecture 139  \nDr. Rajni Bhalla, Lovely Professional University  \nUnit 8: Hadoop Master Slave Architecture 155  \nDr. Rajni Bhalla, Lovely Professional University  \nUnit 9: Hadoop Node Commands 169  \nDr. Rajni Bhalla, Lovely Professional University  \nUnit 10: Map Reduce Applications 184  \nDr. Rajni Bhalla, Lovely Professional University  \nUnit 11: Hadoop Ecosystem 212  \nDr. Rajni Bhalla, Lovely Professional University  \nUnit 12: Predective Analytics 240  \nDr. Rajni Bhalla, Lovely Professional University  \nUnit 13: Data Analytics with R 253  \nDr. Rajni Bhalla, Lovely Professional University  \nUnit 14: Big Data Management using Splunk 270  \nDr. Rajni Bhalla, Lovely Professional University  \nNotes  \nDr. Rajni Bhalla, Lovely Professional University Unit 01: Introduction to Big Data  \nUnit 01: Introduction to Big Data  \nCONTENTS  \nObjectives Introduction  \n1.1 What is Big Data  \n1.2 Characteristics of Big Data  \n1.3 Applications of BIG DATA  \n1.4 Tools used in BIG DATA  \n1.5 Challenges in BIG DATA Summary  \nKeywords  \nSelf Assessment  \nAnswers for Self Assessment Review Questions  \nFurther Readings  \nObjectives  \nAfter studying this unit, you will be able to:  \n• understand what is BIG DATA.  \n• understand Applications of BIG DATA  \n• learn tools used in BIG DATA  \n• known challenges in BIG DATA  \nIntroduction  \nThe quantity of data created by humans is quickly increasing every year as a result of the introduction of new technology, gadgets, and communication channels such as social networking sites.Big data is a group of enormous datasets that can't be handled with typical computer methods. It is no longer a single technique or tool; rather, it has evolved into a comprehensive subject including a variety of tools, techniques, and frameworks.Quantities, letters, or symbols on which a computer performs operations and which can be stored and communicated as electrical signals and recorded on magnetic, optical, or mechanical media.  \n1.1 What is Big Data  \nBig Data is a massive collection of data that continues to increase dramatically over time. It is a data set that is so huge and complicated that no typical data management technologies can effectively store or process it. Big data is similar to regular data, except it is much larger.Big data analytics is the use of advanced analytic techniques to very large, heterogeneous data sets, which can contain structured, semi-structured, and unstructured data, as well as data from many sources and sizes ranging from terabytes to zettabytes.  \nLovely Professional University 1  \nNotes  \nIntroduction to Big Data   \nFigure 1 Structured,Semi-structured and Un-structured  \nBig data is a term that defines the massive amount of organized and unstructured data that a company encounters on a daily basis.  \nNote  \n􀂷 It may be studied for insights that lead to improved business choices and strategic movements.  \n􀂷 It is a collection of organized, semi-structured, and unstructured data t","cbCaih0KyjvRlqVy","https://ap.wps.com/l/cbCaih0KyjvRlqVy","pdf",13599153,297,"English","# Unit 01: Introduction to Big Data\n## Objectives Introduction\n## What is Big Data\n## Characteristics of Big Data\n## Volume\n## Velocity\n## Examples of Big Data\n## Tools used in BIG DATA","[{\"question\":\"What is Big Data according to the unit?\",\"answer\":\"Big Data is a massive collection of data that continues to increase over time, and it is too huge and complicated for typical data management technologies to store or process effectively.\"},{\"question\":\"What are the characteristics of Big Data discussed here?\",\"answer\":\"The unit describes characteristics such as Volume and Velocity, explaining how the magnitude of data and the speed at which data is collected and processed affect its value.\"},{\"question\":\"How is Big Data analytics defined in the document?\",\"answer\":\"Big Data analytics uses advanced analytic techniques on very large, heterogeneous datasets containing structured, semi-structured, and unstructured data from many sources and scales.\"}]","INTRODUCTION TO BIG DATA - Unit 1 - Objectives and Foundations | PDF",1791028667,748]