This course has been created for individuals with the cloud practitioner or associate level AWS certification and a minimum of 2 years of experience performing complex big data analysis including Solutions Architects, SysOps Administrators, Data Scientists, Data Analysts and many more.
Facilities
Location
Start date
Online
Start date
Different dates availableEnrolment now open
About this course
The Big Data on AWS course prepares you to perform distributed processing and covers all aspects of hosting big data on the AWS platform. You will learn about cloud based big data solutions and you will be able to use AWS Elastic MapReduce to process data and create big data environments. This course has been aligned to the AWS Certified Big Data - Specialty exam. This course has been aligned with industry best practices as it has been created by industry leaders
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This centre's achievements
2021
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 4 years
Subjects
Architecture Design
Warehousing
Design
Data warehousing
Computing
Course programme
Course Introduction
1 lecture02:51Course Introduction
Course Introduction
1 lecture02:51Course IntroductionCourse IntroductionCourse IntroductionCourse IntroductionCourse Introduction
Lesson 1: Exam Details
4 lectures04:16Overview of Big Data previewAWS Certification previewExam Pattern and Exam Syllabus previewRecommended AWS Knowledge preview
Lesson 1: Exam Details
4 lectures04:16Overview of Big Data previewAWS Certification previewExam Pattern and Exam Syllabus previewRecommended AWS Knowledge previewOverview of Big Data previewOverview of Big Data previewOverview of Big Data previewOverview of Big Data previewAWS Certification previewAWS Certification previewAWS Certification previewAWS Certification previewExam Pattern and Exam Syllabus previewExam Pattern and Exam Syllabus previewExam Pattern and Exam Syllabus previewExam Pattern and Exam Syllabus previewRecommended AWS Knowledge previewRecommended AWS Knowledge previewRecommended AWS Knowledge previewRecommended AWS Knowledge preview
Lesson 2: Big Data on AWS Introduction
14 lectures48:49Lesson 2 - Learning ObjectiveCloud Computing Introduction, Advantages and TypesCloud Deployment ModelsCloud Service CategoriesAWS Cloud PlatformAWS Cloud Architecture Design Principles - Part 1AWS Cloud Architecture Design Principles - Part 2Why AWS for Big Data - Reasons and ChallengesDatabases in AWSData Warehousing in AWSAWS Services for Big Data - Redshift, Kinesis and EMRAWS Services for Big Data - DynamoDB, Machine Learning and LambdaAWS Services for Big Data - Elastic Search Services and EC2Lesson 2 - Key TakeawayLesson 2 - Knowledge Check
Lesson 2: Big Data on AWS Introduction
14 lectures48:49Lesson 2 - Learning ObjectiveCloud Computing Introduction, Advantages and TypesCloud Deployment ModelsCloud Service CategoriesAWS Cloud PlatformAWS Cloud Architecture Design Principles - Part 1AWS Cloud Architecture Design Principles - Part 2Why AWS for Big Data - Reasons and ChallengesDatabases in AWSData Warehousing in AWSAWS Services for Big Data - Redshift, Kinesis and EMRAWS Services for Big Data - DynamoDB, Machine Learning and LambdaAWS Services for Big Data - Elastic Search Services and EC2Lesson 2 - Key TakeawayLesson 2 - Knowledge CheckLesson 2 - Learning ObjectiveLesson 2 - Learning ObjectiveLesson 2 - Learning ObjectiveLesson 2 - Learning ObjectiveCloud Computing Introduction, Advantages and TypesCloud Computing Introduction, Advantages and TypesCloud Computing Introduction, Advantages and TypesCloud Computing Introduction, Advantages and TypesCloud Deployment ModelsCloud Deployment ModelsCloud Deployment ModelsCloud Deployment ModelsCloud Service CategoriesCloud Service CategoriesCloud Service CategoriesCloud Service CategoriesAWS Cloud PlatformAWS Cloud PlatformAWS Cloud PlatformAWS Cloud PlatformAWS Cloud Architecture Design Principles - Part 1AWS Cloud Architecture Design Principles - Part 1AWS Cloud Architecture Design Principles - Part 1AWS Cloud Architecture Design Principles - Part 1AWS Cloud Architecture Design Principles - Part 2AWS Cloud Architecture Design Principles - Part 2AWS Cloud Architecture Design Principles - Part 2AWS Cloud Architecture Design Principles - Part 2Why AWS for Big Data - Reasons and ChallengesWhy AWS for Big Data - Reasons and ChallengesWhy AWS for Big Data - Reasons and ChallengesWhy AWS for Big Data - Reasons and ChallengesDatabases in AWSDatabases in AWSDatabases in AWSDatabases in AWSData Warehousing in AWSData Warehousing in AWSData Warehousing in AWSData Warehousing in AWSAWS Services for Big Data - Redshift, Kinesis and EMRAWS Services for Big Data - Redshift, Kinesis and EMRAWS Services for Big Data - Redshift, Kinesis and EMRAWS Services for Big Data - Redshift, Kinesis and EMRAWS Services for Big Data - DynamoDB, Machine Learning and LambdaAWS Services for Big Data - DynamoDB, Machine Learning and LambdaAWS Services for Big Data - DynamoDB, Machine Learning and LambdaAWS Services for Big Data - DynamoDB, Machine Learning and LambdaAWS Services for Big Data - Elastic Search Services and EC2AWS Services for Big Data - Elastic Search Services and EC2AWS Services for Big Data - Elastic Search Services and EC2AWS Services for Big Data - Elastic Search Services and EC2Lesson 2 - Key TakeawayLesson 2 - Key TakeawayLesson 2 - Key TakeawayLesson 2 - Key TakeawayLesson 2 - Knowledge CheckLesson 2 - Knowledge CheckLesson 2 - Knowledge CheckLesson 2 - Knowledge Check
Lesson 3: Big Data on AWS - Collection
17 lectures01:09:24Lesson 3 - Learning ObjectiveAWS Data Pipelines and Data NodesAmazon Kinesis and Kinesis StreamKinesis Data Stream Architecture and Core ComponentsData ProducerData ConsumerKinesis Stream Emitting Data to AWS Services and Kinesis Connector LibraryKinesis FirehoseDemo - Put and Get Records from Kinesis Data StreamTransferring Data using LambdaAmazon SQS Lifecycle and ArchitectureIoT and Big DataIoT FrameworkAWS Data Pipeline and Data NodeActivity, Pre-condition and ScheduleDemo - Import Data From S3 into DynamoDB using Data PipelineLesson 3 - Key TakeawayLesson 3 - Knowledge Check
Lesson 3: Big Data on AWS - Collection ong DynamoDB Performance and Partition Key SelectionDynamoDB Performance and Partition Key SelectionDynamoDB Performance and Partition Key Selection...
Additional information
A minimum of 2 years of experience using AWS technology. Learner must have an understanding of AWS security best practices and how AWS services integrate with each other. Learner should be able to define and architect AWS big data services and lifecycle of collection, ingestion, storage, processing, and visualization
