“Major facts” may possibly be the largest buzzword of our time. Lots of speak about how major facts could revolutionise industries, make gain margins soar, and guide to some of the biggest scientific advancements of our time. But when it arrives to the specifics of how to put into practice a major facts system, or why facts science has turn into this kind of an impressive area, it’s not so clear.
The founders of Dataconomy considered the…
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Author : Syed Thouheed Ahmed
Genre : Computers
Summary : Big data analytics and cloud computing is the fastest growing technologies in current era. This text book serves as a purpose in providing an understanding of big data principles and framework at the beginner?s level. The text book covers various essential concepts of big-data analytics and processing tools such as HADOOP and YARN. The Textbook covers an analogical understanding on bridging cloud computing with big-data technologies with essential cloud infrastructure protocol and ecosystem concepts. PART I: Hadoop Distributed File System Basics, Running Example Programs and Benchmarks, Hadoop MapReduce Framework Essential Hadoop Tools, Hadoop YARN Applications, Managing Hadoop with Apache Ambari, Basic Hadoop Administration Procedures PART II: Introduction to Cloud Computing: Origins and Influences, Basic Concepts and Terminology, Goals and Benefits, Risks and Challenges. Fundamental Concepts and Models: Roles and Boundaries, Cloud Characteristics, Cloud Delivery Models, Cloud Deployment Models. Cloud Computing Technologies:Broadband networks and internet architecture, data center technology, virtualization technology, web technology, multi-tenant technology, service Technology Cloud Infrastructure Mechanisms:Logical Network Perimeter, Virtual Server, Cloud Storage Device, Cloud Usage Monitor, Resource Replication, Ready-made environment
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Author : Saswat Sarangi
Genre : Social Science
Summary : Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagined and unimagined. Drawing on case studies like Amazon, Facebook, the FIFA World Cup and the Aadhaar scheme, this book looks at how Big Data is changing the way we behave, consume and respond to situations in the digital age. It looks at how Big Data has the potential to transform disaster management and healthcare, as well as prove to be authoritarian and exploitative in the wrong hands. The latest offering from the authors of Artificial Intelligence: Evolution, Ethics and Public Policy, this accessibly written volume is essential for the researcher in science and technology studies, media and culture studies, public policy and digital humanities, as well as being a beacon for the general reader to make sense of the digital age.
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Author : Saswat Sarangi
Genre : Big data
Summary : Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagined and unimagined. Drawing on case studies like Amazon, Facebook, the FIFA World Cup and the Aadhaar scheme, this book looks at how Big Data is changing the way we behave, consume and respond to situations in the digital age. It looks at how Big Data has the potential to transform disaster management and healthcare, as well as prove to be authoritarian and exploitative in the wrong hands. The latest offering from the authors of Artificial Intelligence: Evolution, Ethics and Public Policy, this accessibly written volume is essential for the researcher in science and technology studies, media and culture studies, public policy and digital humanities, as well as being a beacon for the general reader to make sense of the digital age.
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Author : Herbert Jones
Genre : Computers
Summary : This book has lots of valuable eye-opening information about data analytics, which will help you understand the concept of data mining, data collection, big data analytics for business and business intelligence concepts.
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Author : Fatih AKAY
Genre : Young Adult Nonfiction
Summary : "Data Science for Everyone: A Beginner's Guide to Big Data and Analytics" is a comprehensive guide for anyone interested in exploring the field of data science. Written in a user-friendly style, this book is designed to be accessible to readers with no prior background in data science. The book covers the fundamentals of data science and analytics, including data collection, data analysis, and data visualization. It also provides an overview of the most commonly used tools and techniques for working with big data. The book begins with an introduction to data science and its applications, followed by an overview of the different types of data and the challenges of working with them. The subsequent chapters delve into the main topics of data science, such as data exploration, data cleaning, data modeling, and data visualization, providing step-by-step instructions and practical examples to help readers master each topic. Throughout the book, the authors emphasize the importance of data ethics and responsible data management. They also cover the basics of machine learning, artificial intelligence, and deep learning, and their applications in data science. By the end of this book, readers will have a solid understanding of the key concepts and techniques used in data science, and will be able to apply them to real-world problems. Whether you are a student, a professional, or simply someone interested in the field of data science, this book is an essential resource for learning about the power and potential of big data and analytics.
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Author : Paul Zikopoulos
Genre : Computers
Summary : Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer
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Author : Vince Reynolds
Genre : Big data
Summary : 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!
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Author : Enamul Haque
Genre :
Summary : Calling all the Aspiring Data Scientists! This book is your "one-stop-shop" to kick start your data science career without knowing how to code! In fact, data science doesn't have to be complicated! With this book, you will grow an understanding of the foundations of data science and its applications. To master this book, you don't need technical abilities. This book is recommended for beginners and anybody who want to understand data science conveniently. You don't need a big textbook to master data science today. A straightforward language has been used to ensure ease of understanding, especially for beginners. Key features include: Introduction to data scienceHistory of data scienceData science life-cycleData science tools and technologiesData science methodologyData science modelsDeveloping data science business strategyManaging data science projectsBecoming a data scientist, data engineers etc.Doing data science without codingBig dataData MiningArtificial intelligenceMachine learningDeep learningNeural networksMathematical analysisStatistical modellingUnderstanding the fundamentals of Python and RDatabase structures and principlesRobotic Process AutomationData science acronyms you need to knowOnline free data science learning resources And a lot more
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Author : Eliot P. Reznor
Genre :
Summary : Do you feel you are falling behind on Big Data?... or do you see everyone using it to get ahead of you? Are you tempted to finally see what the hype is all about? Do you feel ignorant, unclear what Big Data is, and why it is the future? Are you terrified of ending up old having wasted years not taking advantage of your data? If you stay in the dark, you'll never take advantage of this opportunity. Is this positive for you? Big Data: A Beginner's Guide To Using Data Science For Business gets you up to speed fast, including an exploration of the history and future of Big Data. This is a book of knowledge and doesn't just tell you to try harder. Life rewards those who take matters into their own hands, and this book is where to start. Big Data is full of real-life examples of how big data impacts people just like you. These examples are backed up countless data expert studies, all which will arm you with a knowledge primed for success with using Big Data immediately. Easy-to-implement small changes and practical takeaways for immediate action. What happens if you ignore Big Data? * Learn the history of Big Data. * Why should you care about becoming an expert in Big Data? * What could you achieve with tips in the right direction * The consequences of ignoring big data in your business How will you learn to compete in this data-driven age? * Identify the keys to mastering big data * Which tools are used to win at this game * Tricks for getting your feet on the ground today * How to develop the competency you are lacking What happens when you don't let life pass you by? * Never wonder "what if" you could have made millions with Big Data! * Wake up every day with high energy and desire * Inspire yourself and others to become experts at Big Data. * Fulfill your destiny and start getting paid for this knowledge. Find out how to let go of your lack of knowledge and take flight towards being a Big Data expert, period. Create the business of your dreams around Big Data. Try Big Data: A Beginner's Guide To Using Data Science For Business today by clicking the BUY NOW button at the top right of this page! P.S. You'll be on your way to mastering Big Data within 24 hours.
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Author : Liam Damien
Genre :
Summary : This book includes: Data Mining: Your Ultimate Guide to a Comprehensive Understanding of Data Mining Here's a sneak peek of what you'll learn with this book: Today, we live in the age of massive production of data. Machines and platforms are churning out data like never before! Start by taking count of the number of gadgets you have. How many services have you signed up for? Facebook, Instagram, Uber, Twitter, E-commerce - the list is endless. What is interesting is that all this data goes right back to whoever owns the product. They then use that information to improve their products. It is this process of gathering data that is referred to as Data Mining. What you need to understand is that the more data you collect, the more value you can deliver. The more value you provide, the more revenue your business generates. Here, we will discuss what data mining is all about and how you can use that data to make a lot of difference in your business and the world around you. And much more.... Data Analytics: A Comprehensive Beginner's Guide to Learn the Realms of Data Analytics Throughout these pages, you will learn: What Data Science is and the skills that one needs to develop to become a data scientist Big Data and its benefits What is data and how it can be used to obtain insights The different types of data analytics What is Data Visualization How to interpret data What are data mining and the different algorithms used for data mining Some data mining tools and their advantages What is data integration and the process And much more.... Data Science: A Comprehensive Beginner's Guide to Learn the Realms of Data Science Data science is rapidly expanding its horizons to places never thought possible. It can be quite difficult to keep up with the innovations, which takes place every day. A complete history of data science and why learning data science will be a great choice. The study of Linear Algebra and mathematics and how you can effectively apply it to data science The study of python programming and how you can become an expert at it The study of machine learning and how it is forever interwoven with data science Data visualization and how it is fundamentally different from data mining And much more.... This book won't make you an expert programmer, but it will give you an exciting first look at programming and a foundation of basic concepts with which you can start your journey in learning computer programming. Grab your copy Now!!!