Big Data Core Concepts: Beginner Big Data 2019

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  • 2 Courses | 1h 25m 10s
  • 9 Books | 27h 52m
  • Includes Lab
  • 1 Course | 1h 7m 49s
  • 1 Book | 5h 25m
  • Includes Lab
  • 5 Courses | 3h 53m 9s
  • 3 Books | 12h 36m
  • 10 Courses | 8h 7m 49s
  • 9 Books | 50h 16m
  • Includes Lab
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Thanks to modern computers, massive amounts of data can be analyzed for trends and patterns. Discover the various facets and tools of big data.

GETTING STARTED

Managing Big Data Operations

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    Overview of Big Data Operations
    3m 59s
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    Industries in Big Data Operations
    3m 23s
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Securing Big Data Streams

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    Course Overview
    1m 48s
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    Big Data Security Concerns
    6m 36s
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GETTING STARTED

Big Data Concepts: Getting to Know Big Data

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    Course Overview
    1m 35s
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    2. 
    What Is Big Data?
    3m 6s
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GETTING STARTED

Big Data Essentials

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    1. 
    Introducing Big Data
    5m 46s
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    The Biggest Wave Yet
    4m 20s
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COURSES INCLUDED

Managing Big Data Operations
Big data has changed the way we think about data systems. Explore the challenges being faced as a result of big data operations, as well as big data monitoring tools, orchestrations, and performance modeling.
11 videos | 43m has Assessment available Badge
Quality & Security of Big Data Operations
To be of any use, data must be accessible, accurate, and secure. Examine methods for application and performance testing, as well as data testing, prevention, and preservation.
10 videos | 42m has Assessment available Badge

COURSES INCLUDED

Securing Big Data Streams
Learners can explore security risks related to modern data capture, data centers, and processing methods, such as streaming analytics, in this 13-video course. As the value of a company’s data increases, the same data have become more and more valuable to hackers and other criminals. You will learn up-to-date techniques and tools employed to mitigate security risks, and best practices related to securing big data, including cloud data, trust, and encryption. Begin with an overview of common security concerns for big data and streaming data, as well as concerns related to NoSQL (non-structured query language), distributed processing frameworks, and flaws related to data mining and analytics. Then explore how to secure big data; explore streaming data and data in motion; and see how end-point devices are secured by using validation and filtering, as well as how to use encryption to secure data at rest. In the concluding exercise, practice what you have learned by describing key big data security concerns, key streaming data security concerns, and how end-point devices are secured.
13 videos | 1h 7m has Assessment available Badge

COURSES INCLUDED

Big Data Concepts: Getting to Know Big Data
Big data analytics has become an essential part of any business dealing with the digital world. The ability to collect large amounts of data and turn it into insights has transformed the world's business landscape. To properly manage projects using such technologies, leaders should at least have a foundational understanding of big data. Use this course to get to grips with the necessary concepts and terminologies you'll need when discussing big data projects. Learn about the primary sources and characteristics of big data. Then, dive into the world of big data analytics - exploring its main advantages, use cases, and significant challenges. When you've finished this course, you'll be able to speak about data-related projects, discussing relevant data infrastructures and architectures confidently.
12 videos | 43m has Assessment available Badge
Big Data Concepts: Big Data Essentials
Big data analytics, collecting vast amounts of data and transforming it into insights, drives major business decisions everywhere. Managers, decision-makers, data technicians, and data enthusiasts alike benefit from knowing how various systems and technologies are used in big data projects. Use this course to progress from a foundational comprehension of big data analytics to grasping more advanced concepts, like parallel and distributed computing systems and horizontal and vertical scaling. Take an in-depth look at Hadoop's main components and characteristics and how it's used for big data analytics. Then, delve into the various kinds of storage systems used in big data. Upon completing this course, you'll have a greater comprehension of the tools and methods used to execute big data projects.
12 videos | 45m has Assessment available Badge
Techniques for Big Data Analytics
Big data analytics provides a way to turn the vast amounts of data available in today's digital world into valuable insights. For this reason, big data analytics techniques have taken a central place in many businesses' IT infrastructure. These comprise complex processes and multiple stack layers that allow you to transform raw data into visualizations that demonstrate trends or other phenomena. Use this course to explore the basic principles and techniques of big data analytics in a business context. Go through each step of data processing to fully comprehend the big data analytics pipeline. Furthermore, explore various use cases of big data analytics through real-world examples. When you're done with this course, you'll have a foundational comprehension of some of the technologies behind big data and how these can drive business decisions for the better.
12 videos | 39m has Assessment available Badge
Spark for High-speed Big Data Analytics
Spark is an open-source, massively parallel, in-memory solution that allows you to run big data analytics pipelines at high speed. Use this course to learn how Apache Spark works and gain an understanding of its architecture. As you progress, investigate the industry-leading examples of Uber and Alibaba to recognize how Spark can add business value to data in many industry types. Moving along, compare the functionality of Spark and Hadoop in relation to use cases, identifying when using Spark is most advantageous. Finally, explore fundamental Spark characteristics, optimization techniques, and best practices. When you've completed this course, you'll have a solid theoretical understanding of how and when to use Apache Spark for specific big data analytics tasks.
12 videos | 50m has Assessment available Badge
Organizational IT Trends, Analytics, and Application Development
IT and business trends can have a serious impact on an organization's growth and direction. Key areas that could be impacted include business models, employee experience, business processes, and customer experience. In this course, you'll learn how IT Trends can impact organizations, and how they can gauge if they are ready for change. You'll also explore key questions organizations can ask when determining big data analytics capabilities, and discover the value of data in decision making, performance, and growth. You'll also learn about the possible impact of application development in an organization, and learn how organizations can leverage it. Lastly, discover how application development is the process and practice of designing, developing, deploying, and operating highly available and cost-effective software or applications. This course was originally created by Global Knowledge (GK). 
15 videos | 53m available Badge
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COURSES INCLUDED

Big Data Essentials
Many of the big data tools are open-source and Linux-based. Explore the fundamentals of big data, including positioning it in an historical IT context, available tools for working with big data, and the big data stack.
15 videos | 1h 3m has Assessment available Badge
Introduction to Hadoop
Several tools are available for working with big data. Many of the tools are open-source and Linux-based. Explore the fundamentals of Apache Hadoop, including distributed computing, design principles, HDFS, Yarn, MapReduce, and Spark.
7 videos | 30m has Assessment available Badge
Teams & Projects
Big data requires a holistic approach and a change to regular working practices. Discover the way teams work in big data organizations, as well as some projects and use cases for big data.
12 videos | 53m has Assessment available Badge
Use Cases, Opportunities, & Challenges
Big data requires a holistic approach and a change to regular working practices. Explore use cases for big data, as well as challenges and opportunities that big data presents.
11 videos | 53m has Assessment available Badge
Engineering Perspectives
Big data is a term for data sets so large that traditional data processing applications can't be used to perform meaningful analysis. Explore some of the engineering challenges of big data and how some companies have discovered solutions.
10 videos | 1h has Assessment available Badge
Corporate Leadership Perspective
Big data leaders must be able to show how big data generates value and how investments should be targeted. Discover how to create a governance strategy, examine security concerns, and how this will impact human resources.
10 videos | 54m has Assessment available Badge
The Legal Perspective
By being proactive on privacy, organizations can leverage big data and avoid reputational harm, litigation, and regulatory scrutiny. Examine privacy concerns, ethical use of data, and what to do about social media.
10 videos | 37m has Assessment available Badge
The Marketing Perspective
Companies need to evolve from traditional practices and use big data to improve their organizations. Examine the marketing impacts of big data, including the mobile effect, purchasing habits, and the impact of datafied consumer behavior.
10 videos | 38m has Assessment available Badge
Strategic Planning
To adopt big data, senior leadership must be able to establish priorities and ensure acceptance by the front line. Discover scaling up to scaling out, different analytical models, and how to secure funding for data initiatives.
10 videos | 57m has Assessment available Badge
Big Data Sales Perspective
Big data allows salespeople to adopt data-driven methodologies to target high-value prospects. Explore the differences between big data and data science, including different algorithms and technology accelerators.
10 videos | 39m has Assessment available Badge
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BOOKS INCLUDED

Book

Big Data For Dummies
Providing a plain-English explanation of what big data is (and isn't), this friendly guide discusses the technology and database options supporting it, analytics that help you get meaning from your data, how to manage it, and what it can do for your company.
Book Duration 5h 22m Book Authors By Alan Nugent, Fern Halper, Judith Hurwitz, Marcia Kaufman

Book

SQL on Big Data: Technology, Architecture, and Innovation
Consolidating SQL and the big data landscape, this in-depth guide provides a comprehensive overview, at a technology and architecture level, of different SQL technologies on big data tools, products, and solutions.
Book Duration 2h 34m Book Authors By Sumit Pal

Book

Design, Build, & Management of Planned Big Data Environments
Authored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article looks at the architecture and considerations necessary to create an unstructured, planned Big Data solution, particularly with regard to the EMC product set.
Book Duration 11m Book Authors By Alan Senior

Book

Beginning Apache Pig: Big Data Processing Made Easy
Showing you how to use Apache Pig to develop lightweight big data applications easily and quickly, this book shows you many optimization techniques and covers every context where Pig is used in big data analytics.
Book Duration 3h 21m Book Authors By Balaswamy Vaddeman

Book

Big Data, Better Learning? How Big Data Is Affecting Organizational Learning
Examining the responses of 418 learning and development professionals in position of managers and above from varying sectors, sizes, and locations, this report explores challenges and other considerations that learning leaders must address if they are to knowledgeably and capably manage big learning data and apply the insights it has to offer today’s organizational learning functions.
Book Duration 46m Book Authors By ASTD Research

Book

Big Data: Terms, Definitions and Applications
Authored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article discusses the various new structures of data, the three V’s that form the basis of big data, and the new dimensions that have arisen as challenges while discussing the big data.
Book Duration 27m Book Authors By Anuj Mediratta

Book

Big Data Processing Beyond Hadoop and MapReduce
Authored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article provides an overview of various new and upcoming alternatives to Hadoop MR.
Book Duration 23m Book Authors By Ravi Sharda

Book

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset
Approaching the problem of managing massive data sets from a systems perspective, this book explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage - and then explains, in an easily understood manner and through numerous examples, how to use each tool.
Book Duration 5h 27m Book Authors By Michael Frampton

Book

Big Data: Storage, Sharing, and Security
Examining Big Data management from an R&D perspective, this thorough resource covers the 3S designs―storage, sharing, and security―through detailed descriptions of Big Data concepts and implementations.
Book Duration 9h 21m Book Authors By Fei Hu
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BOOKS INCLUDED

Book

Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics
Exploring a number of big data concepts and how they can be applied to improve your organization's analytics, this user-friendly handbook shows you step by step how to design, incorporate, and profit from a world-class advanced analytics ecosystem in today's big data environment.
Book Duration 5h 25m Book Authors By Bill Franks

BOOKS INCLUDED

Book

Big Data: Principles and Best Practices of Scalable Realtime Data Systems
This book teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data.
Book Duration 4h 57m Book Authors By James Warren, Nathan Marz

Book

Big Data: A Very Short Introduction
Discussing cases such as the Snowden affair, data security, and domestic smart devices which can be hijacked by hackers, this book explains how data is stored, analyzed, and exploited by a variety of bodies from big companies to organizations concerned with disease control.
Book Duration 2h 4m Book Authors By Dawn E. Holmes

Book

Big Data and Knowledge Sharing in Virtual Organizations
Examining cloud computing, machine learning, and knowledge sharing, this book provides innovative insights into the influence of big data analytics and artificial intelligence and the tools, methods, and techniques for knowledge-sharing processes in virtual organizations.
Book Duration 5h 35m Book Authors By Albert Gyamfi, Idongesit Williams

BOOKS INCLUDED

Book

Big Data: A Very Short Introduction
Discussing cases such as the Snowden affair, data security, and domestic smart devices which can be hijacked by hackers, this book explains how data is stored, analyzed, and exploited by a variety of bodies from big companies to organizations concerned with disease control.
Book Duration 2h 4m Book Authors By Dawn E. Holmes

Book

Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition
Bringing a set of techniques and algorithms that are tailored to Big Data projects, this book offers case studies across a range of scientific and engineering disciplines and provides insights into semantics, identification, de-identification, vulnerabilities and regulatory/legal issues.
Book Duration 11h 16m Book Authors By Jules J. Berman

Book

Big Data For Dummies
Providing a plain-English explanation of what big data is (and isn't), this friendly guide discusses the technology and database options supporting it, analytics that help you get meaning from your data, how to manage it, and what it can do for your company.
Book Duration 5h 22m Book Authors By Alan Nugent, Fern Halper, Judith Hurwitz, Marcia Kaufman

Book

Big Data: Storage, Sharing, and Security
Examining Big Data management from an R&D perspective, this thorough resource covers the 3S designs―storage, sharing, and security―through detailed descriptions of Big Data concepts and implementations.
Book Duration 9h 21m Book Authors By Fei Hu

Book

Big Data Management
Focusing on the analytic principles of business practice and big data, this book provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management.
Book Duration 4h 47m Book Authors By Benjamin Lev, Fausto Pedro García Márquez

Book

Big Data and Knowledge Sharing in Virtual Organizations
Examining cloud computing, machine learning, and knowledge sharing, this book provides innovative insights into the influence of big data analytics and artificial intelligence and the tools, methods, and techniques for knowledge-sharing processes in virtual organizations.
Book Duration 5h 35m Book Authors By Albert Gyamfi, Idongesit Williams

Book

Effective Big Data Management and Opportunities for Implementation
Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.
Book Duration 7h 29m Book Authors By Dileep Kumar G. (eds), Manoj Kumar Singh

Book

Big Data, Better Learning? How Big Data Is Affecting Organizational Learning
Examining the responses of 418 learning and development professionals in position of managers and above from varying sectors, sizes, and locations, this report explores challenges and other considerations that learning leaders must address if they are to knowledgeably and capably manage big learning data and apply the insights it has to offer today’s organizational learning functions.
Book Duration 46m Book Authors By ASTD Research

Book

Big Data: Understanding How Data Powers Big Business
Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved in Big Data, as well as how to find areas of the organization that can take full advantage of big data.
Book Duration 3h 36m Book Authors By Bill Schmarzo
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