The Ultimate Introduction To Big Data
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The Ultimate Introduction To Big Data
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Author : Frank Kane
language : en
Publisher:
Release Date : 2019
The Ultimate Introduction To Big Data written by Frank Kane and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
See it. Do it. Learn it! Businesses rely on data for decision-making, success, and survival. The volume of data companies can capture is growing every day, and big data platforms like Hadoop help store, manage, and analyze it. In The Ultimate Introduction to Big Data , big data guru Frank Kane introduces you to big data processing systems and shows you how they fit together. This liveVideo spotlights over 25 different technologies in over 14 hours of video instruction. about the subject Designed for data storage and processing, Hadoop is a reliable, fault-tolerant operating system. The most celebrated features of this open source Apache project are HDFS, Hadoop's highly-scalable distributed file system, and the MapReduce data processing engine. Together, they can process vast amounts of data across large clusters. An ecosystem of hundreds of technologies has sprung up around Hadoop to answer the ever-growing demand for large-scale data processing solutions. Understanding the architecture of massive-scale data processing applications is an increasingly important and desirable skill, and you'll have it when you complete this liveVideo course! about the video The Ultimate Introduction to Big Data teaches you how to design powerful distributed data applications. With lots of hands-on exercises, instructor Frank Kane goes beyond Hadoop to cover many related technologies, giving you valuable firsthand experience with modern data processing applications. You'll learn to choose an appropriate data storage technology for your application and discover how Hadoop clusters are managed by YARN, Tez, Mesos, and other technologies. You'll also experience the combined power of HDFS and MapReduce for storing and analyzing data at scale. Using other key parts of the Hadoop ecosystem like Hive and MySQL, you'll analyze relational data, and then tackle non-relational data analysis using HBase, Cassandra, and MongoDB. With Kafka, Sqoop, and Flume, you'll make short work of publishing data to your Hadoop cluster. When you're done, you'll have a deep understanding of data processing applications on Hadoop and its distributed systems. Inside: Using HDFS and MapReduce for storing and analyzing data at scale Analyzing relational data using Hive and MySQL Creating scripts to process data on a Hadoop cluster using Pig and Spark Using HBase, Cassandra, and MongoDB to analyze non-relational data Querying data interactively with Drill, Phoenix, and Presto Choosing an appr...
Reporting And Big Data Big Data As One Megatrend Of Industry 4 0 And The Impacts On Controlling
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Author : Matthias Ackermann
language : en
Publisher: GRIN Verlag
Release Date : 2015-03-23
Reporting And Big Data Big Data As One Megatrend Of Industry 4 0 And The Impacts On Controlling written by Matthias Ackermann and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-23 with Business & Economics categories.
Seminar paper from the year 2015 in the subject Business economics - Controlling, FOM Hochschule für Oekonomie und Management gemeinnützige GmbH, Hochschulstudienzentrum Freiburg (business administration), course: International Investment and Controlling, language: English, abstract: The global data volume is expected to increase fiftyfold over the next ten years (2012-2022). Reasons for extensive growth of data volume within the era of industry 4.0 are the increased use of sensor technology in production and logistics as well as the extensive distribution and the use of mobile Internet. (ICA 2014, p. 3) But the explosion of data is not new. It continues a trend that started in the 1970s. Changes are the velocity of growth, the diversity of data, and the imperative to make better use of information in business. To harvest and harness every byte of relevant data and use it to make the best decisions is the hopeful vision of organizations in terms of big data. (McKinsey 2013, p. 15) On the one hand, opportunities of big data can be identified in all industries over the entire value chain. On the other hand, many companies are sceptical of big data because of high investment costs, the lack of skilled staff and know-how, and privacy risks. That causes delays in big data ́s implementation in companies. The careful analysis of the application, and the identification of realizable excess values of big data is one of the controller’s tasks. Completely new opportunities and challenges for the controller arise due to the massive growth of data. Though in future the positions of business analysts and data scientists overlap with the controllers’ skills and fields of activity. (ICA 2014, p. 3) This assignment gives an overview of big data itself and illustrates the potential in controlling and for the controller. Additionally challenges, threats and risks are determined.
Data Science And Big Data Analytics
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Author : EMC Education Services
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-27
Data Science And Big Data Analytics written by EMC Education Services and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-27 with Computers categories.
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
Big Data
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Author : Dawn E. Holmes
language : en
Publisher: Oxford University Press
Release Date : 2017
Big Data written by Dawn E. Holmes and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Computers categories.
An unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to store, manage, analyse, and exploit this data is becoming ever more sophisticated. This Very Short Introduction maps out the technology, and also the range of possibilities, challenges, and ethical questions it raises.
Big Data And Artificial Intelligence In Management Disruptive Technologies As A Success Factor For Decision Making
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Author : Moritz Mayer
language : en
Publisher: GRIN Verlag
Release Date : 2022-04-19
Big Data And Artificial Intelligence In Management Disruptive Technologies As A Success Factor For Decision Making written by Moritz Mayer and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-19 with Business & Economics categories.
Document from the year 2019 in the subject Business economics - Business Management, Corporate Governance, , language: English, abstract: Geopolitically, economically and technologically, the world is in a state of upheaval. Technological progress is shortening innovation cycles, processes and projects in companies are steadily gaining in complexity, and the globalized economy is producing increasingly dynamic markets. In an era characterized by the networking of the real and virtual worlds, data is emerging as the resource of the future. However, the huge amounts of data, also known as Big Data, demand that they be used effectively. As a result, management must make increasingly frequent and complex decisions. However, human working time is scarce and the question arises as to whether human capacity, intelligence and creativity can still cope with the increasing demands. Could AI, using Big Data, possibly act as a success factor, in corporate decision making? Under this question, Mayer compares the decision-making of a human with that of an artificial intelligence. The focus here is primarily on the economic goal idea. What basic requirements does an AI need? What risks open up, among other things in terms of loss of control, ethics or data protection? And to what extent are the numerous visions actually realizable in practice? From the contents: - Digitization - Big Data - Artificial Intelligence - Management 4.0 - Enterprise
Big Data For Beginners
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Author : Vince Reynolds
language : en
Publisher:
Release Date : 2016-05-16
Big Data For Beginners written by Vince Reynolds and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-16 with Big data categories.
Big Data For Beginners! The Ultimate Beginners Crash Course To Understanding And Interpreting Big Data! Are You Ready To Learn How To Understand SMART Big Data, Data Mining & Data Analytics For improved Business Performance, Life Decisions & More? If So You've Come To The Right Place - Regardless Of How Little Experience You May Have! Here's A Preview Of What Big Data For Beginners! Contains... A Conundrum Called 'Big Data' How To Understand Big Data Better What Can Big Data Do For You? Understanding The Analytics (And The Importance) The Obstacles And Importance Of The Big Data Situation We're In A Closer Look At Key Big Data Challenges Generating Business Value through Data Mining And Much, Much More! Order Your Copy Now And Let's Get Started!
Big Data In Cardiology Predicting Preventing And Managing Diseases
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Author : Bikal Dhungel
language : en
Publisher: GRIN Verlag
Release Date : 2020-10-28
Big Data In Cardiology Predicting Preventing And Managing Diseases written by Bikal Dhungel and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-28 with Medical categories.
Master's Thesis from the year 2020 in the subject Health Sciences - Health Logistics, grade: 1,7, Linnaeus University (School of Informatics), course: Information Systems, language: English, abstract: This study was conducted to analyze this process closer focusing on a case of Cardiology. Conducting a comprehensive literature review and qualitative expert interviews, the impact of big data in the field of Cardiology was explored. The result of the study shows that big data can play a positive role in three aspects: prediction of disease, prevention of disease and management of disease. Big data enables us to build models that can be used to predict the occurrence of disease. Based on this information, actions can be taken to prevent the disease. Data also helps to manage the disease by offering helpful insights. Medical personnel can retrieve the patient data, with the help of AI, they can make faster decisions allowing them to spend more quality time with the patients and reduce cognitive errors. Through the interviews, it was understood that even though the positive role of big data has been acknowledged, the implementation is still a challenge due to various limitations. The challenges lie mainly on technical know-how and domain knowledge. Further challenges were data security and privacy issues that need to be addressed to mitigate the risks that can be caused by them. The examples of big data implementation in various cases like in heart failure prediction or prevention shows a positive picture. The overwhelming majority of case studies analyzed in this regard show an optimistic picture. Due to growing importance and use of smart devices, IoT, genomics and the recent developments in the field of ICTs, it is expected that big data will not only leave a positive influence on the field of Cardiology, it will also change the way medicine is practiced and healthcare is offered. The statement ‘Data is the new oil’ has been broadly acknowledged due to its wide-ranging importance. Utilizing big data offers a variety of benefits. Although the health sector was late in terms of exploiting the benefits of big data, currently, the adoption is accelerating. Healthcare is increasingly becoming an information science and the implementation of electronic medical records (EMR) and other information systems is growing rapidly. The patient data originating from smart devices and other sources like genomic databases are supporting the healthcare sector offering better healthcare delivery and increasing efficiency, hence saving costs.
The Symbiosis Of Big Data And Behavioral Insights Applications And Ethical Considerations
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Author : Alexander Ritter
language : en
Publisher: GRIN Verlag
Release Date : 2017-11-08
The Symbiosis Of Big Data And Behavioral Insights Applications And Ethical Considerations written by Alexander Ritter and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-08 with Business & Economics categories.
Seminar paper from the year 2017 in the subject Economics - Other, grade: 1,7, University Witten/Herdecke (Wirtschaftswissenschaften), course: Behavioral Economics / Verhaltensökonomik, language: English, abstract: Since the US-presidency elections of 2016 and the surprising victory of Donald Trump, a sudden public interest in “big data” was sparked, since it was suspected to be key to Trump’s success. More precisely, it was the combination of “big data” and behavioral nudge approaches that was key to the strategy of Donald Trump. This essay examines the powerful synergies of “big data” with behavioral economics on the basis of real life examples from politics and business. Moreover the practical limitations as well as ethical considerations will be discussed.
Big Data Fundamentals
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Author : Thomas Erl
language : en
Publisher: Prentice Hall
Release Date : 2015-12-29
Big Data Fundamentals written by Thomas Erl and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-29 with Computers categories.
“This text should be required reading for everyone in contemporary business.” --Peter Woodhull, CEO, Modus21 “The one book that clearly describes and links Big Data concepts to business utility.” --Dr. Christopher Starr, PhD “Simply, this is the best Big Data book on the market!” --Sam Rostam, Cascadian IT Group “...one of the most contemporary approaches I’ve seen to Big Data fundamentals...” --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. Discovering Big Data’s fundamental concepts and what makes it different from previous forms of data analysis and data science Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation Planning strategic, business-driven Big Data initiatives Addressing considerations such as data management, governance, and security Recognizing the 5 “V” characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value Clarifying Big Data’s relationships with OLTP, OLAP, ETL, data warehouses, and data marts Working with Big Data in structured, unstructured, semi-structured, and metadata formats Increasing value by integrating Big Data resources with corporate performance monitoring Understanding how Big Data leverages distributed and parallel processing Using NoSQL and other technologies to meet Big Data’s distinct data processing requirements Leveraging statistical approaches of quantitative and qualitative analysis Applying computational analysis methods, including machine learning
Implentation Of Critical Information Infrastructure Protection Techniques Against Cyber Attacks
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Author : Torty Vincent
language : en
Publisher: GRIN Verlag
Release Date : 2022-06-02
Implentation Of Critical Information Infrastructure Protection Techniques Against Cyber Attacks written by Torty Vincent and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-02 with Computers categories.
Master's Thesis in the subject Computer Science - IT-Security, , language: English, abstract: Big Data analytics is the act of analysing data to discover hidden patterns, trends, preferences, and other important information in order to detect infiltration, prevent fraud, and possibly make the right judgements. This study was carried out to investigate the implementation of big data analytics as a technique for information protection against cyber attacks. This study specifically examined the extent of big data analytics implementation and the challenges militating the adoption and full implementation. The survey research design was employed and a total of one hundred and twenty-one staff members of the Joint Admission and Matriculation Board (JAMB) and the Independent National Electoral Commission (INEC) were enrolled in the study. The instrumentation of questionnaire was used to elicit information from the study participants. The data collected were analysed using the binary logistic regression. Findings from the study revealed that big data analytics provides better advantage to information protection against cyber attacks. Also, the findings showed that to a significant extent, big data analytics has not been full adopted and implemented by institution and organizations in Nigeria. This gap was detected in this study to be a result of high cost of hiring expert personnel, time and large quantity of silos. These factors indirectly affects the decision of top management regarding the adoption and implementation of big data analytics. This study recommends the adoption and implementation of big data analytics by organizations and institutions in Nigeria. Adequate training should be provided for staff members whose job description involves interacting with big data.