AWS Big Data – Specialty Certification Preparation for AWS

OverviewStepsAuthor
DifficultyIntermediate
AVG Duration18h
Students3295
Ratings
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Content
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Description

Overview

This Learning Path prepares you for the AWS Big Data Specialty Certification. The AWS Certified Big Data - Specialty Exam validates technical skills and experience in designing and implementing AWS services to derive value from data. We cover the six domains of the Big Data Specialty exam outline with Courses, Labs and Quizzes. We start with an introduction to analytics and database fundamentals. We then learn more relevant detail on Big Data collection, storage, processing, analysis, visualization and security. 

This Big Data Learning Path (Specialty Certification) lasts almost 22 hours and is made up of 14 Courses, 3 Quizzes and 2 Laboratories.

Learning Objectives

Collection

For domain one we explain the various data collection methods and techniques for determining the operational characteristics of a collection system. We explore how to define a collection system able to handle the frequency of data change and the type of data being ingested. We identify how to enforce data properties such as order, data structure, and metadata, and to ensure the durability and availability for our collection approach. 

Storage

Domain two of the Big Data Specialty learning path focuses on storage. In this group of courses, we outline the key storage options for big data solutions. We determine data access and retrieval patterns, and some of the use cases that suit particular data patterns such as evaluating mechanisms for capture, update, and retrieval of catalogue entries. We learn how to determine appropriate data structure and storage formats, and how to determine and optimize the operational characteristics of a Big Data storage solution. 

Data Processing Technologies

In domain three of the Big Data Specialty Learning Path we learn how to identify the appropriate data processing technologies needed for big data scenarios. We explore how to design and architect a data processing solution, and explore and define the operational characteristics of big data processing. We delve into the various processing services available focusing on Amazon Kinesis, Elastic Map Reduce and Amazon Rekognition.  

Data Analysis

For domain four of the Big Data Specialty Learning Path we learn how to determine the tools and techniques required for data analysis. We explore how to design and architect an analytical solution, and how to optimize the operational characteristics of the Analysis System using tools such as Amazon Athena and Kinesis.  

Data Visualization

In domain five we learn how to determine the appropriate techniques for delivering the results/output of a query or analysis. We examine how to design and create a visualization platform using AWS services, and how to optimize visualization services to present results in an effective and accessible manner using Amazon Quicksight. 

Data Security

Data security comprises 20% of the certification curriculum so it is important students have a thorough understanding of security best practices for Big Data solutions. In this course we examine how to determine encryption requirements and how to implement encryption services. We examine how to choose the appropriate technology to enforce data governance, and Identify how to ensure data integrity while working with Big Data solutions.

Prerequisites

  • Before beginning this Learning Path, we would recommend:
  • Having a current AWS Certified Cloud Practitioner, or any other AWS Associate level certification
  • At least a couple of years experience in data analytics
  • An understanding of Big Data and its core principles and best practices.

FAQ

What is big data?

In basic terms, Big Data is made up of larger and complicated data sets, from new sources in particular. As these sets are so sizeable, they cannot be managed by traditional data processing software. The upside of the large volumes of data is that they can be used to tackle business problems that otherwise would not be able to be addressed.

Is Google Analytics big data?

Google Analytics is considered part of the big data umbrella as it processes all of the ‘big data’ in e.g. a website and creates simplified reports on areas such as views, bounce rate, visitors etc. Google Analytics can be considered one of the pioneers of the big data space and it remains a strong player in the field.

What are data solutions?

Data solutions can help to facilitate, manage and store a business’ valuable information. Data solutions range from computer programmes to personnel staffing and include distribution systems, modelling software, and business intelligence.

What is AWS data lake?

In essence, a ‘lake’ holds a huge amount of raw and unformatted data for as long as necessary until it is needed. Using a flat architecture to store data it takes a different approach to a hierarchical data warehouse that models itself on storing data in files and folders.

Certificate

Your certificate for this learning path
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Training Content

1
Course - Beginner - 3m
Introduction to the Big Data Specialty Learning Path
This course introduces the AWS Big Data – Specialty Certification Preparation learning path.
2
Course - Beginner - 1h 4m
Analytics Fundamentals for AWS
In this course, we will explore the analytics tools provided by AWS, including Elastic Map Reduce (EMR), Data Pipeline, Elasticsearch, Kinesis, Amazon Machine Learning, and QuickSight.
3
Course - Beginner - 1h 9m
Database Fundamentals for AWS
This course provides you with an introduction to the cloud database services offered by AWS and how to use them.
4
Exam - 35m
Knowledge Check: Database Fundamentals for AWS
Knowledge Check: Database Fundamentals for AWS
5
Course - Intermediate - 1h 7m
AWS Big Data Specialty - Data Collection
This course will help you to increase your knowledge of data collection methods and techniques with big data solutions in AWS.
6
Course - Intermediate - 1h 47m
AWS Big Data Specialty - Storage
In this course, we outline the key storage options for big data solutions in AWS.
7
Hands-on Lab - Beginner - 1h 45m
Getting Started with Amazon Redshift
Learn how to use the Amazon Redshift service. Create a cluster with a database, copy data from S3, query data using SQL, and resize the cluster.
8
Course - Intermediate - 1h 32m
Working with Amazon DynamoDB
In this course, you'll learn the fundamentals of Amazon DynamoDB, including table design, reading, writing, and working with large tables.
9
Course - Intermediate - 1h 15m
AWS Big Data Specialty - Processing
In this course, you'll learn how to identify the appropriate data processing technologies needed for big data scenarios.
10
Hands-on Lab - Intermediate - 1h 45m
Getting Started with Amazon Elastic MapReduce
Broad introductory lab on Amazon Elastic MapReduce (EMR). Get started today!
11
Course - Advanced - 2h 12m
Introduction to the Principles and Practice of Amazon Machine Learning
This course provides an in-depth introduction to the principles and practice of Amazon Machine Learning.
12
Course - Intermediate - 32m
Analyzing Data with Amazon Athena
This course explores the AWS Athena service, reviewing fundamental AWS Athena storage and querying concepts.
13
Course - Beginner - 23m
Introduction to Amazon Kinesis
In this introductory course, you will learn to recognize and explain the core components of Amazon Kinesis and where those services can be applied.
14
Course - Advanced - 40m
Working with Amazon Kinesis Analytics
In this course, you'll learn about the key features and core components of Kinesis Analytics, and what an end-to-end real-time data streaming example looks like.
15
Hands-on Lab - Beginner - 1h
Automate Image Labeling with Amazon Rekognition
Learn how to implement object detection on every new image uploaded on Amazon S3.
16
Course - Intermediate - 26m
AWS - Data Visualization
In this course, you'll how to recognize the best techniques for delivering results of a query, and how to create data visualization.
17
Course - Intermediate - 55m
AWS Encryption for Data Analytics
This course looks at how to secure your big data within AWS by implementing different data encryption options.
18
Hands-on Lab - Intermediate - 2h
Using Amazon Key Management Service to Encrypt S3 and EBS Data
In this lab, you'll learn about Amazon Key Management Service to encrypt S3 and EBS Data at an intermediate level. Get started today!
19
Course - Intermediate - 4m
Big Data Specialty Learning Path Conclusion
This course concludes the AWS Big Data – Specialty Certification Preparation for AWS learning path.
20
Exam - 2h
Cert Prep: AWS Big Data Specialty Certification
Cert Prep: AWS Big Data Specialty Certification
About the Author
Students126864
Courses98
Learning paths104

Andrew is fanatical about helping business teams gain the maximum ROI possible from adopting, using, and optimizing Public Cloud Services. Having built  70+ Cloud Academy courses, Andrew has helped over 50,000 students master cloud computing by sharing the skills and experiences he gained during 20+  years leading digital teams in code and consulting. Before joining Cloud Academy, Andrew worked for AWS and for AWS technology partners Ooyala and Adobe.