Big Data Hadoop and Spark Developer in Amazon EMR (Hartford)

Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce (Hartford)

The Big Data Hadoop and Spark Developer course has been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies focused on AWS and Amazon EMR.

$14.95 / MONTH SITE SUBSCRIPTION (W/ 14 DAY FREE TRIAL) $149.95 / YEAR SITE SUBSCRIPTION (W/ 14 DAY FREE TRIAL)

Course curriculum

1. About this course: Overview, Learning Outcomes, Who Should Enroll...
2. Curriculum Description
3. Instructor Bio - Rod Davison
4. Key pointers for this program
5. Some added benefits
1. Course Calendar
2. Teams Channel (Discussion Forum)
1. Announcement 001 - You MUST Create a FREE Amazon Web Services (AWS) account
2. Announcement 002 - Starweaver Teams Channel!
3. Announcement 003 - Week-by-Week Content
1. SLIDES - Kick-Off Webinar - Spark, Hadoop and Snowflake
2. RECORDING (OF LIVE SESSIONS) - Kick-Off Webinar - Spark, Hadoop and Snowflake
3. RECORDING (OF LIVE SESSIONS) - Week 1 - Session #01
4. RECORDING (OF LIVE SESSIONS) - Week 1 - Session #02
5. RECORDING (OF LIVE SESSIONS) - Week 1 - Session #03
6. RECORDING (OF LIVE SESSIONS) - Week 2 - Session #04
7. RECORDING (OF LIVE SESSIONS) - Week 2 - Session #05
8. RECORDING (OF LIVE SESSIONS) - Week 2 - Session #06
9. RECORDING (OF LIVE SESSIONS) - Week 3 - Session #07
10. RECORDING (OF LIVE SESSIONS) - Week 3 - Session #08
11. RECORDING (OF LIVE SESSIONS) - Week 3 - Session #09
12. RECORDING (OF LIVE SESSIONS) - Week 4 - Session #10
13. RECORDING (OF LIVE SESSIONS) - Week 4 - Session #11
1. Labs - Overview
2. Labs - Due Dates
3. Labs - Module 1
4. Lab Submission - Module 1A (Submit all labs for this module AT ONCE, in a single file)
5. Lab Submission - Module 1B (Submit all labs for this module AT ONCE, in a single file)
6. Lab Submission - Module 1C (Submit all labs for this module AT ONCE, in a single file)
7. Labs - Module 2
8. Lab Submission - Module 2A (Submit all labs for this module AT ONCE, in a single file)
9. Lab Submission - Module 2B (Submit all labs for this module AT ONCE, in a single file)
10. Lab Submission - Module 2C (Submit all labs for this module AT ONCE, in a single file)
11. Labs - Module 3
12. Lab Submission - Module 3A (Submit all labs for this module AT ONCE, in a single file)
13. Lab Submission - Module 3B (Submit all labs for this module AT ONCE, in a single file)
14. Lab Submission - Module 3C (Submit all labs for this module AT ONCE, in a single file)
1. Quiz - Overview
2. AWS Ecosystem Quiz
3. EC2 Quiz
4. EBS Quiz
5. S3 Quiz
6. Big Data EMR Quiz
7. EMR Configuration Quiz
8. Map Reduce, Pig and Hive
9. EMR Notebooks and Spark
10. RDDs, Dataframes and Datasets
11. Spark SQL and File Formats
1. Module 0 - Setting up an AWS Account
2. Module 0.1 - Creating an AWS Account
3. Module 0.2 - Creating a Working User
4. Module 0.3 - Creating a Billing Alert
1. Module 1 - Overview and Learning Objectives
2. Module 1.1 - AWS Tour
3. Module 1.2 - Infrastructure as a Service
4. Module 1.3 - Platform as a Service
5. Module 1.4 - Creating an EC2 VM
6. Module 1.5 - Reserved Pricing
7. Module 1.6 - Installing Software
8. Module 1.7 - Security Groups
9. Module 1.8 - Elastic IPs
10. Module 1.9 - AMIs
11. Module 1.10 - Formatting EBS
12. Module 1.11 - Sharing EBS Drives
13. Module 1.12 - Creating EBS Drives
14. Module 1.13 - Creating and Using Snapshots
15. Module 1.14 - Moving Resources
16. Module 1.15 - Lifecycle Management
17. Module 1.16 - S3 Buckets
18. Module 1.17 - S3 Storage Classes
19. Module 1.18 - IAM Policies
20. Module 1.19 - S3 Buckets Policies
21. Module 1.20 - Bucket Versioning
22. Module 1.21 - (Bonus) Linux ssh
23. Module 1.22 - (Bonus) Windows ssh
24. Module 1.23 - (Bonus) AWS CLI
25. Module 1.24 - (Bonus) AWS VPNs
26. Presentation/Slides 1.1 - AWS Introduction
27. Presentation/Slides 1.2 - Elastic Computing
28. Presentation/Slides 1.3 - EBS Elastic Storage
29. Presentation/Slides 1.4 - S3 Storage
1. Module 2 - Overview and Learning Objectives
2. Module 2.1 - EMR Configuration Basics
3. Module 2.2 - EMR Uniform Hardware
4. Module 2.3 - EMR Fleet Provisioning
5. Module 2.4 - AWS Cloud Services
6. Module 2.5 - AWS Step Function
7. Module 2.6 - EMR Hive Demo
8. Module 2.7 - EMR Running a Fleet Cluster
9. Module 2.8 - Batch Pig and Hive
10. Presentation/Slides 2.1 - Big Data and Hadoop
11. Presentation/Slides 2.2 - EMR Configuration
12. Presentation/Slides 2.3 - Map Reduce
13. Presentation/Slides 2.4 - Hive and Spark
1. Module 3 - Overview and Learning Objectives
2. Module 3.1 - EMR Notebooks
3. Module 3.2 - EMR Terminated Cluster
4. Module 3.3 - Scala WordCount 1
5. Module 3.4 - Scala WordCount 2
6. Module 3.5 - Scala DAG
7. Module 3.6 - Python WordCount
8. Module 3.7 - DataFrames
9. Module 3.8 - Spark SQL
10. Module 3.9 - RDD Type Safety
11. Module 3.10 - Type Schema
12. Module 3.11 - RDD DF DS
13. Presentation/Slides 3.1 - Spark Processing
14. Presentation/Slides 3.2 - SQL Datasets and Files
1. References for Further Study
2. AWS Cost and Billing Management User Guide
3. AWS EC2 User Guide
4. AWS EBS User Guide
5. AWS EFS User Guide
6. AWS S3 Console User Guide
7. AWS EMR Documentation

About this course

Free
115 lessons
25.5 hours of video content

Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce (Hartford)

Course curriculum

Welcome to the course!

Calendar, Commuincations Channel and More

Program Announcements

Recordings

Labs

Quizzes

Module 0

Module 1

Module 2

Module 3

Recommended Further Readings

About this course