Fundamentals Of Big Data Analytics
Course Title: Big Data Analytics 101
Master the fundamentals of big data analytics. You will get a comprehensive overview of the field of big data analytics, from its origins to current applications.
Normal Price
USD 10
This course includes:
- 5 Lessons
- 3.5 Hours video
- 5 use cases
- 1 year access
- Certificate of completion
- SIGNUP BONUS: FREE Access to over 6,000 upskilling contents
What you'll learn
Course completion in 6 hours
Learn what are the different types of Big Data.
Learn about Big Data Architecture Frameworks and how you can help you to decide on the most appropriate Big Data Technology for your projects.
Understand the importance of cloud for big data and analytics solutions.
Appreciate the different types of Big Data Analytics.
Learn from real life use case on how Big Data Analytics insights can be used for competitive advantage.
Requirement
There are no advanced preparation or prerequisites needed.
About the Course
This course provides a comprehensive introductory overview of the concept of Big Data, and its technologies, architectures, and management. Participants can reap the benefits of this course when planning Big Data projects, and understanding the technology involved using different types of analytics such as Descriptive Analytics, Predictive Analytics, and Machine Learning.
Who this course is for
Anyone interested in Business Operations.
Anyone interested in Business Technology.
Anyone in Finance, Accounting, or related fields.
Course Content
Chapter 1: Introduction
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Course Outline
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What, Why, and How of Big Data
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Segments of Big Data
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Growth of Big Data
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Case Study - Cloudera
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Public Cloud in Big Data
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Data Silos
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Driving Factor in Big Data Investments
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Primary Driver of Big Data in Companies
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Chapter 2: Big Data Technologies
Chapter 2 Overview
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Requirements of Big Data Architecture
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Converting Raw Data into Insight
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Establishing the Architectural Foundation
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Defining Big Data Architecture
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Evaluation Criteria Before Investing in Big Data Solution
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Asking the Right Questions to Start Big Data Project
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Logical Layers of Big Data
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Big Data Sources
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Data Massaging and Store Layer
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Analysis Layer
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Consumption Layer
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Big Data Reference Architecture
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Physical & Security Infrastructure
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Shared Infrastructure
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Resiliency and Redundancy
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Security Infrastructure
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Operational Database
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Non-Relational Databases
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SQL & NoSQL Database Engines
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How Data Lakes Work
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Extract Transform Load
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Analytical Data Warehouse
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Data Warehouse vs Data Lake
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Importance of Big Data Analytics
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Types of Visualisation Tools
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The Cloud's Role in Big Data
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Why The Cloud is Important for Big Data
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Defining Cloud Computing in Big Data
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Two Types of Cloud Model in Big Data
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Cloud Deployment Model
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Cloud Delivery Model
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Using The Cloud in Big Data
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Takeaways
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Chapter 2 Quiz
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Chapter 3: Managing Big Data - Software & Technology
Chapter 3 Overview
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Defining Big Data
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The Datafication of Our World
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Understanding Big Data & The 3 Vs of Big Data
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Big Data Technologies
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The Hadoop Story
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Technologies in Hadoop Ecosystem
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Hadoop HDFS
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Hadoop MapReduce
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Apache Spark
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HDFS vs Spark
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Apache Drill
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Data Preparation
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Clients Support for Drill
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Datastores Supported by Drill
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Distance to Data
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Evolution Towards Self-Service Data Exploration
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Hadoop Vendors
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Takeaways
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Chapter 3 Quiz
Chapter 4: Big Data Analytics
Chapter 4 Overview
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Big Data Analytics
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Types of Data Analytics
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Reasons Organisations Deploy Big Data Analytics
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Implementing a Big Data Analytics Solution
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Big Data Analytics Summary
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Big Data Analytics Process Flow
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How Big Data Analytics Are Being Used
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Basic Analytics
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Advanced Analytics for Insight
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Operationalised Analytics
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Monetising Analytics
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Big Data Analytics Solutions
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Machine Learning in Hadoop Ecosystem
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Machine Learning - Apache Mahout™
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Spark MLlib
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Flink
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Takeaways
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Chapter 4 Quiz
Chapter 5: Use Cases
Chapter 5 Overview
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Amex
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Delta
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Walmart
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UPS
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Alibaba
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Ending
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Chapter 5 Quiz
Final Assessment
Final Assessment
Course Feedback
Last leason
User Reviews
“I can understand better how organizations use data they gain for their own good and get insight into how to improve business operation using data analytics.”
Philip Khor Qing An
Risk - Retail Modelling,
CIMB.
“I learned a lot about big data, the key terms of innovation of it, types of big data, examples of the company used, type of database software used, and much more. Thanks CADS."
Nurul Nasrin Marshidi
Master Data Management Analyst, BDP International.
“Best fundamental and easy to understand course. This provides more insights and motivations for me to adopt what I had learned into my future works”
Muaz Abdul Rahim
Senior Associate, DHL Asia Pacific Shared Services.
Frequently Asked Questions
Will I earn a certification upon finish the course?
To earn a Certificate of Completion, you must complete all the modules in the course.
How long does the course take?
We've prepared approximately 3.5 hours of learning content for you, however it is a self-paced online course and you can complete it on your own time.
How long will the course be available for me to complete?
The course will remain in your learning library for 1 Year.
How do I make payment?
We accept payments from any visa/mastercard transactions.
