Big Data
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Big Data

An introductory course about understanding Big Data and its impact and relevance in today's society.
2.6 (4 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
120 students enrolled
Last updated 3/2015
English
Current price: $10 Original price: $50 Discount: 80% off
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Includes:
  • 3.5 hours on-demand video
  • 1 min on-demand audio
  • 13 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Be introduced to Data and its aspects.
  • Be aware of the facts, capabilities and benefits of Big Data.
  • Learn the elements (3V’s) of Big Data and their characteristics.
  • Study Big Data analytics and how it works.
  • Learn about implementing Big Data.
  • Understand Big Data management and their technologies.
  • Find out about the myths and challenges of Big Data.
View Curriculum
Requirements
  • Basic understanding of the IT industry
  • Knowledge of the English language
Description

Big Data is the term for a collection of datasets so large and complex that they become difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization.

This introductory course will begin discussions on defining, understanding and using data. The succeeding modules will discuss the facts, capabilities and benefits of Big Data; the 3V’s of Big Data and Big Data Analytics. It will also present implementing data, Big Data Management and Big Data in the real world.

Who is the target audience?
  • Beneficial to recent graduates looking to get a foothold in the IT Industry.
  • IT managers looking to better manage data analysis.
  • Businesses looking to organize and analyze large amounts of vital data in order to improve business insights.
  • Managers wanting to reach business goals and improve agility.
  • IT professionals looking to implement new data analysis tools.
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Curriculum For This Course
Expand All 57 Lectures Collapse All 57 Lectures 08:05:32
+
All About Data
8 Lectures 22:28

In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.

.

Section Outline

Lecture 2: Data Defined

Lecture 3: Data, Information and Knowledge

Lecture 4: Understanding Data

Lecture 5: Data Usage

Lecture 6: Data Duplication

Lecture 7: Data Deduplication

Preview 00:29

This lecture will lay the foundation for this course by clearly defining and discussing Data.

.

Lecture outline:

0:00    Introduction to Data
1:04    Definition of Data
Preview 03:48

This lecture will teach you the difference among Data, Information, and Knowledge.

.

Lecture outline:

0:00    Overview of the Comparison
1:31    Comparison between Data, Information and Knowledge
1:49    Computing Mechanisms
Preview 03:09

This lecture will focus on understanding data.

.

Lecture outline:

0:00    Introduction to Understanding Data
0:36    Things to Understand about Data
1:07    Data Description
1:26    Explore Data
2:24    Verification of Data Quality
Understanding Data
03:25

This lecture will cover the different ways we can use data in different areas and platforms.

.

Lecture outline:

0:00    Introduction to Data Usage
0:58    Top Applications: Onavo Count and Data Usage
2:05    Top Applications: 3D Watchdog, DataMan and My Data Manager
3:14    Top Applications: myAT&T and My Verizon Mobile
Data Usage
03:54

This lecture will discuss the definition of Data Duplication and give you a comprehensive understanding of the subject.

Data Duplication
01:04

This discussion will focus on the definition of deduplication, its benefits and methods.

.

Lecture outline:

0:00    Introduction to Data Deduplication
1:04    Benefits of Data Deduplication
2:44    Methods of Data Deduplication
5:52    Reasons Data Deduplication is Used in Secondary Storage Systems
Data Deduplication
06:39

Section 1
6 questions

This PDF file contains Section 1 of this course. You can download the complete e book at the end of this course.

Reading Assignment Section 1
11 pages
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Getting Started with Big Data
7 Lectures 26:15

In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.

.

Section Outline

Lecture 10: Big Data

Lecture 11: Facts About Big Data

Lecture 12: Capabilities of Big Data

Lecture 13: Big Data Benefits

Lecture 14: Where Big Data is Used?

Preview 00:25

This lecture will cover the definition of Big Data and introduce its dimensions.

.

Lecture outline:

0:00    Introduction to Big Data
0:27    Three Dimensions of Data Growth
Big Data
04:41

This lecture will discuss the continuously growing numbers in the area of Big Data.

Facts about Big Data
04:49

This lecture will focus on what Big Data can do for the organization or on a personal private level.

Capabilities of Big Data
05:05

This lecture will explore the different benefits of Big Data.

.

Lecture outline:

0:00    Introduction to the Benefits of Big Data
0:18    Talking with Customer and Developing your Products
1:54    Performing Risk Analysis and Keeping your Data Safe
3:02    Creating New Revenue Streams and Customizing your Website
4:46    Reducing Maintenance Cost and Offering Tailored Healthcare
6:19    Offering Enterprise-wide insights and Making Smarter Cities
Big Data Benefits
08:08

This lecture will cover five areas where Big Data is used.

.

Lecture outline:

0:00    Introduction to Where Big Data is Used
0:21    Context for Interactions and Transactions
1:00    Connect with Outside Patterns
1:34    Response Based on Trends
2:11    Insight to Oversight
2:33    Know Yourself and Your Rivals
Where Big Data is Used?
03:07

Section 2
6 questions

This PDF file contains Section 2 of this course. You can download the complete e book at the end of this course.

Reading Assignment Section 2
14 pages
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Elements of Big Data
6 Lectures 20:00

In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.

.

Section Outline

Lecture 17: Variety

Lecture 18: Volume

Lecture 19: Velocity

Lecture 20: A Fourth "V"

Preview 00:25

This lecture will talk about the first theory of the elements of Big Data: Variety.

.

Lecture outline:

0:00    Introduction to Variety
1:31    Structured and Unstructured Data
2:13    Variety Statistics
Variety
05:35

This lecture will discuss the second theory of the elements of Big Data: Volume.

.

Lecture outline:

0:00    Introduction to Volume
1:31    Volume Statistics
2:13    Early Days of Data Processing
3:15    Hadoop
Volume
05:28

This lecture will explain the third theory of the elements of Big Data: Velocity.

.

Lecture outline:

0:00    Introduction to Velocity
1:31    Velocity Statistics
2:13    Why Does Velocity Flow Quickly
3:15    Reasons to Consider Streaming Process
Velocity
05:48

This lecture will teach you a possible fourth element of Big Data.

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Lecture outline:

0:00    Introduction to the Fourth "V"
1:31    Veracity
2:13    Variability
A Fourth "V"
02:44

Section 3
6 questions

This PDF file contains Section 3 of this course. You can download the complete e book at the end of this course.

Reading Assignment Section 3
11 pages
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Analytics and Big Data
5 Lectures 18:58

In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.

.

Section Outline

Lecture 23: Big Data Analytics

Lecture 24: How to Analyze Big Data?

Lecture 25: Big Data Analytics Samples

Preview 00:22

This discussion will focus on the analytics of Big Data.

.

Lecture outline:

0:00    Introduction to Big Data Analytics
0:26    Objective of Big Data
2:03    Problems Dealing with the 3 "V"'s
2:59    Small Big Data Problem
4:13    Medium Big Data Problem
6:05    Big Big Data Problem
Big Data Analytics
07:13

This lecture will cover the analysis of Big Data.

.

Lecture outline:

0:00    Introduction to Analyzing Big Data
1:11    Using Big Data to get Results
2:20    Basic Analytics
2:40    Slicing and Dicing
3:56    Basic Monitoring
4:40    Anomaly Identification
5:21    Advanced Analytics
How to Analyze Big Data?
07:02

This lecture will define and explain Big Data analytic samples such as predictive modeling, text analytics, operationalized analytics, and monetizing analytics.

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Lecture outline:

0:00    Predictive Modeling
1:01    Text Analytics
1:50    Other Statistical and Data-mining Algorithms
2:17    Operationalized Analytics
3:18    Monetizing Analytics
Big Data Analytics Samples
04:21

Section 4
6 questions

This PDF file contains Section 4 of this course. You can download the complete e book at the end of this course.

Reading Assignment Section 4
9 pages
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Implementing Data (Part 1)
5 Lectures 34:57

In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.

.

Section Outline

Lecture 28: Developing a Strategy

Lecture 29: Approach to Implementing Big Data

Lecture 30: Big Data Strategies

Preview 00:30

This discussion will center on developing a strategy for integrating Big Data.

.

Lecture outline:

0:00    Introduction in Developing a Strategy
3:05    Standardize Practices
4:31    Go / No-Go Criteria
6:25    Preparing the Data Environment
7:47    Promoting Data Reuse
9:11    Instituting Proper Levels
11:03   Providing a Governed Process
Developing a Strategy
14:16

This lecture will describe a few techniques in implementing Big Data.

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Lecture outline:

0:00    Introduction in Approaching to Implement Big Data
0:13    Begin with Stakeholders
0:45    Consider Culture

1:17    Finding Data Stewards
2:37    Setting Goals
3:14    Create the Plan
4:10    Establishing Metrics
5:11    Deployment
7:41    Making Big Data Little
8:32    Design for CPI
Approach to Implementing Big Data
09:42

This lecture will enumerate and discuss strategies in achieving Big Data.

.

Lecture outline:

0:00    Performance Management
1:45    Data Exploration
4:08    Social Analytics
8:05    Decision Science
Big Data Strategies
10:29

Section 5
6 questions

This PDF file contains Section 5 of this course. You can download the complete e book at the end of this course.

Reading Assignment Section 5
16 pages
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Implementing Data (Part 2)
7 Lectures 24:08

In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.

.

Section Outline

Lecture 33: The Big Data Breakthrough

Lecture 34: Best Practices

Lecture 35: Current Implementation of Big Data

Lecture 36: Key Design Goals

Lecture 37: Emerging Implementation of Big Data

Preview 00:28

This lecture will discuss some new developments in Big Data.

The Big Data Breakthrough
02:37

This lecture will teach you some practices in implementing a successful Big Data project.

.

Lecture outline:

0:00    Introduction to Big Data's Best Practices
0:19    Collate Business Requirements
0:44    A Business Decision, Not an IT Decision
1:15    Agile and Iterative Approach to Implementation
2:11    Evaluate Data Requirements
2:43    Ease Skills Shortage
3:10    Optimize Knowledge Transfer
3:46    Embrace and Plan your Sandbox
4:21    Align with the Cloud Operating Model
5:07    Associate Big Data with Enterprise Data
5:44    Using Intelligence in Operational Routine
Best Practices
06:32

This discussion will focus on areas where Big Data is currently implemented.

.

Lecture outline:

0:00    Introduction of Implementing Current Big Data
1:31    Retail Sector
2:13    Healthcare Sector
3:15    Financial Services
Current Implementation of Big Data
07:06

This lecture will talk about a few design goals of a Big Data content repository.

Key Design Goals
03:23

This lecture will focus on future trends where Big Data can be applied.

.

Lecture outline:

0:00    Integrating Multiple Big Data Strategies
1:31    Building a Big Data Capacity
2:13    Creating a Big Data Policy
Emerging Implementation of Big Data
04:02

Section 6
6 questions

This PDF file contains Section 6 of this course. You can download the complete e book at the end of this course.

Reading Assignment Section 6
11 pages
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Big Data Management
7 Lectures 36:44

In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.

.

Section Outline

Lecture 40: Big Data Management

Lecture 41: Big Data Management Databases

Lecture 42: Storing Big Data

Lecture 43: Hierarchy of Storage

Lecture 44: Key Requirements

Preview 00:28

This lecture will cover the management side of Big Data.

Big Data Management
04:46

This lecture will cover the different databases of Big Data management.

.

Lecture outline:

0:00    RPBMS
1:31    PostgreSQL
2:13    NoSQL
Big Data Management Databases
07:22

This lecture will teach you about the potentials and risks of storing Big Data.

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Lecture outline:

0:00    Introduction to Storing Big Data
1:31    Knowing the Potential and Risks
2:13    Data Centers
Storing Big Data
07:26

This lecture will discuss the hierarchy of storage.

.

Lecture outline:

0:00    Introduction to the Hierarchy of Storage
1:10    Primary Storage
5:35    Secondary Storage
9:09    Tertiary Storage
10:33    Off-line Storage
Hierarchy of Storage
12:08

This lecture will discuss the key requirements in storing Big Data.

.

Lecture outline:

0:00    Definition of Enterprise Architecture
1:31    Gartner's definition of Enterprise Architecture
2:13    Continous update of the definition of Enterprise Architecture
3:15    EA Schools of Thought
3:33    Enterprise IT Architecting
4:08    Enterprise Integrating
4:36    Enterprise Ecological Adaptation
Key Requirements
04:34

Section 7
6 questions

This PDF file contains Section 7 of this course. You can download the complete e book at the end of this course.

Reading Assignment Section 7
17 pages
+
Big Data in the Real World
6 Lectures 33:35

In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.

.

Section Outline

Lecture 40: Big Data Management

Lecture 41: Big Data Management Databases

Lecture 42: Storing Big Data

Lecture 43: Hierarchy of Storage

Lecture 44: Key Requirements

Preview 00:28

This lecture will discuss some myths about Big Data.

.

Lecture outline:

0:00    Introduction to the Myths in Big Data
1:09    Myth One
2:45    Myth Two
4:20    Myth Three
5:12    Myth Four
6:18    Myth Five
Myths About Big Data
07:15

This discussion will focus on some challenges that Big Data faces.

.

Lecture outline:

0:00    Heterogeneity and Incompleteness
2:55    Scale
7:11    Timeliness
9:39    Privacy
12:27    Human Collaboration
Challenges in Big Data
15:14

This lecture will discuss some helpful tips in building and maintaining a Big Data project.

Tips for a Successful Big Data Project
04:47

This lecture will explore how Big Data will fare in the future.

Future in Big Data
05:51

Section 8
6 questions

This PDF file contains Section 8 of this course. You can download the complete e book at the end of this course.

Reading Assignment Section 8
14 pages
+
Course Resources
3 Lectures 00:00

This e book contains the entire Big Data course in a PDF format.

Big Data Complete Certification Kit Book
150 pages

This e book is a list of terms and definitions often used in the field of Big Data.

Big Data Glossary of Terms
4 pages

This PDF file contains all the answers to all the quizzes in each section of this course.

Quiz Answer Sheet
8 pages
+
Big Data Certification
3 Lectures 01:27

Now that you've finished your Udemy course, - you are eligible to sit your official Certification exam.

Certification is not mandatory.

Once you've completed the course, email our exam department at exams@artofservice.com.au to purchase your exam voucher and sit your final exam.

. Access includes a step-by-step procedure on how to take the final exam and how to obtain your exam certification.

You will receive a PDF certificate through your email upon passing the examination.

Final Exam
1 page

We are always in the process of improving our courses and procedures for a better learning experience for our students. Your input is very important to us.

Follow the step-by-step procedure on taking the evaluation and receiving your certificate of completion.

Evaluation Form
1 page

A final message from our CEO

Conclusion - Final Lecture
01:27
About the Instructor
The Art Of Service
3.4 Average rating
413 Reviews
4,972 Students
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