Big Data Fundamentals
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About This Course
Learn the benefits of big data and the underlying technologies, processes, and strategies.
This course is a survey of big data – the landscape, the technology behind it, business drivers, and strategic possibilities. “Big data” is a hot buzzword, but most organizations struggle to put it to practical use. Without assuming any prior knowledge of Apache Hadoop or big data management, this course teaches you how to use and manage the benefits of big data.
Learning Objectives
Navigate the technology stacks and tools used to work with big data
Establish a common vocabulary on your teams for applying big data practices
Get an overview of how big data technologies work: Apache Hadoop, Spark, Pig, Hive, Sqoop, OOZIE, and FLUME
Design both functional and non-functional requirements for working with big data
Understand common business cases for big data
Differentiate between hype and what’s truly possible
Look at examples of real-world big data use cases
Select initiatives and projects that have high potential to benefit from big data applications
Understand what type of staffing, technical skills, and training is required for projects that incorporate or focus on big data
Inclusions
- Instructor-led training
- Training Seminar Student Handbook
- Collaboration with classmates (not currently available for self-paced course)
- Real-world learning activities and scenarios
- Exam scheduling support*
- Enjoy job placement assistance for the first 12 months after course completion.
- This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
- Government and Private pricing available.*
Target Audience
- Software Developer
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Developer
- Research Scientist
- Data Engineer
- Programmer
- Project Manager
Curriculum
57 Lessons16h
1. Introduction to Big Data
Academic
Early web
Web scale
2. Sources (Examples)
3. Hadoop – the free platform for working with big data
4. The concepts
5. The basics
6. Introduction to HDFS
7. MapReduce – the core big data function
8. YARN
9. PIG
10. Processing Data
11. HIVE
12. OOZIE
13. FLUME – stream, collect, store and analyze high-volume log data
14. SPARK
15. HBASE
16. Using External Tools
Your Instructors
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$1,345.00
16 hours
Inclusions
- Instructor-led training
- Training Seminar Student Handbook
- Collaboration with classmates (not currently available for self-paced course)
- Real-world learning activities and scenarios
- Exam scheduling support*
- Enjoy job placement assistance for the first 12 months after course completion.
- This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
- Government and Private pricing available.*
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