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AWS Certified Big Data - Specialty Certification

AWS Certified Big Data - Specialty Certification

  • 30 Day Money Back Guarantee
  • Completion Certificate
  • 24/7 Technical Support

Highlights

  • On-Demand course

  • 6 hours 11 minutes

  • All levels

Description

This course covers all aspects of hosting big data on the Amazon Web Services (AWS) platform, and will prepare you to confidently perform distributed processing.

This course covers all aspects of hosting big data on the Amazon Web Services (AWS) platform, and will prepare you to confidently perform distributed processing.
The course begins with an overview of exam details and the recommended AWS knowledge you need before starting the course. It then takes you through topics relating to big data on AWS such as cloud computing and deployment, databases and data warehousing in AWS, and AWS services for big data. Next, you'll move on to learn about data collection within big data on AWS which will cover data producers and consumers, IoT and big data, and Kinesis Firehose. As you advance, you'll get to grips with the storage and processing aspects of big data on AWS, covering DynamoDB, AWS aurora in big data, and Amazon EMR. Finally, you'll delve into visualization and security, and create a project for analyzing large datasets.
By the end of this course, you will have learned about cloud-based big data solutions, and be able to use AWS Elastic MapReduce to process data and create big data environments.
The resources for this course is available at https://github.com/PacktPublishing/AWS-Certified-Big-Data-Specialty-Certification

What You Will Learn

Discover the design principles of AWS cloud architecture
Understand why AWS is used for big data along with the challenges involved in using it
Get to grips with DynamoDB, machine learning, and Lambda
Find out how to transfer data using Lambda
Delve into DynamoDB stream and cross-region replication
Explore DynamoDB performance and partition key selection

Audience

This course is for anyone with the cloud practitioner or associate-level AWS certification and a minimum of 2 years' experience in performing complex big data analysis, including solutions architects, SysOps administrators, data scientists, and data analysts. The course assumes an understanding of AWS security best practices and AWS service integration.

Approach

The course takes a hands-on approach that teaches you data life cycle, covering collection, ingestion, storage, processing, and visualization. This course has been created by industry leaders, and is aligned with industry best practices.

Key Features

Understand the importance of the AWS Certified Big Data - Specialty Certification exam for advancing in your career * Get to grips with the exam pattern and exam syllabus * Discover different types of cloud computing and their advantages

Github Repo

https://github.com/packtpublishing/aws-certified-big-data-specialty-certification

About the Author
Learnkart Technology Private Limited

Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.

Course Outline

1. Exam Details

2. Big Data on AWS Introduction

3. Big Data on AWS - Collection

4. Big Data on AWS - Storage

5. Big Data on AWS - Processing

6. Big Data on AWS - Analysis

7. Big Data on AWS - Visualization

8. Big Data on AWS - Security

Course Content

  1. AWS Certified Big Data - Specialty Certification

About The Provider

Packt
Packt
Birmingham
Founded in 2004 in Birmingham, UK, Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and i...
Read more about Packt

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