The Premium Edition Video is a digital-only certification preparation product combining a video course with enhanced Pearson IT Certification Practice Tests.
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11.5+ Hours of Video Instruction
AWS leads the world in cloud computing and big data. This course offers the complete package to help practitioners master the core skills and competencies needed to build successful, high-value big data applications, with a clear path toward passing the certification exam AWS Certified Big Data - Specialty.
This course provides a solid foundation in all areas required to pass the AWS Certified Big Data Specialty Exam–including Collection, Storage, Processing, Analysis, Visualization, and Data Security. In addition, multiple quizzes and a practice exam prepare the student for the formal Certification Exam administered by AWS.
Description
This course provides case study—based training, designed completely around Jupyter notebook—based learning using only AWS big data technologies. Every exercise shown in this video can be run interactively by the students watching. The material exclusively focuses on AWS, with the goal of building enough foundation that the learner can achieve certification.
Most companies struggle with widely varied, high-volume, and fast-moving data. After years of hype around big data, tools and infrastructure have improved to the point where companies are way beyond pilot projects and proofs-of-concept. Big data, where parallel processing is needed just to do the work, is the new normal. AWS leads the world in cloud computing and big data. This course offers a clear path toward certification by AWS on Big Data solutions, which is needed in a competitive job market. This course fills a known gap in this rapidly growing space.
Skill Level
What You Will Learn
Students will:
Who Should Take This Course
Course Requirements
Prerequisites:
About Pearson Video Training
Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.
Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.
Lesson 1: Introduction and Goals
1.1 Learn the answer to “What is Big Data?”
1.2 Explore the history of Big Data
1.3 Know AWS Certification: 6 domain areas
1.4 Understand the AWS Certification Exam: blueprint
1.5 Learn an exam strategy
1.6 Identify focus areas
1.7 Learn exam tips & tricks
1.8 Learn how to register for an AWS Certification Exam
Lesson 2: AWS Domain 1: Collection
2.1 Introduction/overview
2.2 Concepts
2.3 Approaches to data collection
2.4 Scenario 1
2.5 Scenario 2
2.6 Scenario 3
2.7 Demo - AWS Kinesis
2.8 Review/conclusion
Lesson 3: AWS Domain 2: Storage
3.1 Optimize the operational characteristics of the storage solution
3.2 Determine data access and retrieval patterns
3.3 Evaluate mechanisms for capture, update, and retrieval of catalog entries
3.4 Determine appropriate data structure and storage format
3.5 Understand storage & database fundamentals
3.6 Learn S3: storage
3.7 Understand Glacier: backup & archive
3.8 Create AWS Glue: data catalog
3.9 Use DynamoDB
Lesson 4: AWS Domain 3: Processing
4.1 Identify the appropriate data processing technology for a given scenario
4.2 Design and architect the data processing solution
4.3 Determine the operational characteristics of the solution implemented
4.4 Understand AWS processing: overview
4.5 Understand Elastic MapReduce (EMR)
4.6 Learn about Apache Hadoop
4.7 Apply EMR: architecture
4.8 Understand EMR: operations
4.9 Use EMR: Hive
4.10 Use EMR: Hbase
4.11 Use EMR: Presto
4.12 Use EMR: Spark
4.13 Implement EMR: storage & compression
4.14 Implement EMR: Lambda
Lesson 5: AWS Domain 4: Analysis
5.1 Determine how to design and architect the analytical solution
5.2 Understand Redshift overview
5.3 Learn Redshift design
5.4 Use Redshift data ingestion
5.5 Apply Redshift operations
5.6 Use AWS Elasticsearch: operational analytics
5.7 Implement Machine Learning: clustering and regression
5.8 Use AWS Athena: interactive analytics
Lesson 6: AWS Domain 5: Visualization
6.1 Overview of AWS Quicksight
6.2 Design and create the Visualization platform
6.3 Optimize the QuickSight operations
6.4 Understand critical Quicksight limitations
Lesson 7: AWS Domain 6: Data Security
7.1 Data governance
7.2 AWS Shared Responsibility Model
7.3 Identity and access management (IAM)
7.4 Encryption
7.5 Configure VPC
7.6 Implement Redshift Security
7.7 Implement EMR Security
Lesson 8: Case Studies
8.1 Understand Big Data for Sagemaker
8.2 Learn Sagemaker and EMR Integration
8.3 Learn Serverless Production Big Data application development
8.4 Implement Containerization for Big Data
8.5 Implement Spot Instances for Big Data Pipeline
Lesson 9: Exam Prep
9.1 Prepare for the exam
9.2 Walk through the exam sections
9.3 Review the exam
Lesson 10: Course Summary
10.1 Wrap up
Summary