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 5
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: Fundamentals of Big Data Analytics - Introduction
Course Outline 
lectures.DurationInMinute
What, Why and How of Big Data lectures.DurationInMinute
Segments of Big Data
Growth of Big Data
Case Study - Coursera lectures.DurationInMinute
Public Cloud in Big Data
The Challenges of Big Data Adaptation
Data Silos lectures.DurationInMinute
Driving Factor in Big Data Investments
Primary Driver of Big Data in Companies
Takeaways lectures.DurationInMinute
Quiz lectures.DurationInMinute
Chapter 2: Big Data Technologies
Overview
Requirements of Big Data Architecture
Converting Raw Data into Insight
Establishing the Architectural Foundation
Defining Big Data Architecture
Evaluation Criteria Before Investing in Big Data Solution
Asking the Right Questions to Start Big Data Project
Logical Layers of Big Data
Big Data Sources
Analysis Layer
Consumption Layer
Big Data Reference Architecture
Physical & Security Infrastructure
Shared Infrastructure
Resiliency and Redundancy
Security Infrastructure
Operational Database
Non-Relational Databases
SQL & NoSQL Database Engines
How Data Lakes Work
Extract Transform Load
Analytical Data Warehouse
Data Warehouse vs Data Lake
Importance of Big Data Analytics
Types of Visualisation Tools
The Cloud's Role in Big Data
Why The Cloud is Important for Big Data
Defining Cloud Computing in Big Data
Two Types of Cloud Model in Big Data
Cloud Deployment Model
Cloud Delivery Model
Using The Cloud in Big Data
Takeaways
AQuiz
Chapter 3: Managing Big Data - Software & Technology
Overview
Defining Big Data
The Datafication of Our World
Understanding Big Data & The 3 Vs of Big Data
Big Data Technologies
The Hadoop Story
Technologies in Hadoop Ecosystem
Hadoop HDFS
Hadoop MapReduce
Apache Spark
HDFS vs Spark
Apache Drill
Data Preparation
Clients Support for Drill
Datastores Supported by Dril
Distance to Data
Evolution Towards Self-Service Data Exploration
Hadoops Vendors
Takeaways
Quiz
Chapter 4: Big Data Analytics
Overview
Big Data Analytics
Types of Data Analytics
Reasons Organisations Deploy Big Data Analytics
Implementing a Big Data Analytics Solution
Big Data Analytics Summary
Big Data Analytics Process Flow
How Big Data Analytics Are Being Used
Basic Analytics
Advanced Analytics for Insight
Operationalised Analytics
Monetising Analytics
Big Data Analytics Solutions
Machine Learning in Hadoop Ecosystem
Machine Learning - Apache Mahout™
Spark MLlib
Flink
Takeaways
Quiz
Chapter 5: Use Cases
Overview
Amex
Delta
Walmart
UPS
Alibaba
Ending
Quiz
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.
