What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
Article
This course is part of AWS Certified Data Analytics Specialty (2023) Hands-on Specialization
Instructor: Packt - Course Instructors
Included with
Recommended experience
Advanced level
Ideal for IT pros, data analysts, and cloud security specialists enhancing AWS visualization/security skills or prepping for certification.
Recommended experience
Advanced level
Ideal for IT pros, data analysts, and cloud security specialists enhancing AWS visualization/security skills or prepping for certification.
Create and customize dashboards using Amazon QuickSight for effective data visualization
Implement AWS security practices, including encryption and key management, to safeguard cloud environments
Configure CloudTrail and VPC endpoints to secure AWS environments and ensure compliance
Integrate AWS services to build robust, secure, and scalable cloud infrastructure
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October 2024
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This course is designed to help you master three essential areas of AWS: data visualization, security, and exam preparation. You'll begin with a deep dive into Amazon QuickSight, where you'll learn how to create powerful visualizations and dashboards. The hands-on exercises guide you through setting up QuickSight on top of a Redshift data warehouse, ensuring you gain real-world experience with AWS visualization tools. You’ll also explore other popular visualization options, including HighCharts and D3, helping you understand how to choose the right tools for your data.
The next section focuses on AWS security. You’ll explore encryption techniques with KMS and CloudHSM, diving into how AWS manages and protects your data. Hands-on labs will help you implement security best practices, such as key rotation and identity federation. The course also covers critical services like AWS CloudTrail and VPC endpoints, ensuring your infrastructure remains secure and compliant. A detailed exploration of AWS Services Security provides a comprehensive understanding of how to protect your environment. Finally, the course culminates in exam preparation. You’ll be guided through expert tips, including how to save on exam costs and manage your time effectively during the exam. A walkthrough of the AWS certification signup process, coupled with practice exercises and state-of-learning checkpoints, will ensure that you are fully prepared for success. This course is ideal for IT professionals, cloud engineers, data analysts, and security specialists looking to enhance their AWS skills, particularly in visualization, security, and certification prep. A basic understanding of AWS services, cloud computing concepts, and general security principles is recommended to maximize the learning experience.
In this module, we will explore the essentials of data visualization in AWS, focusing on Amazon QuickSight. You'll learn how to create insightful dashboards, use ML-powered QuickSight Q, and choose the best visualization types for different datasets. Hands-on exercises will guide you through setting up QuickSight on Redshift and highlight additional tools like HighCharts and D3 for advanced visualizations.
7 videos2 readings
In this module, we will dive deep into AWS security features, focusing on encryption techniques and key management with services like KMS and CloudHSM. You will learn about securing AWS environments using STS, VPC Endpoints, and CloudTrail for auditing. A three-part deep dive will cover critical security concepts to ensure your data and services are protected from unauthorized access and vulnerabilities.
13 videos
In this module, we will cover a range of additional AWS tools and integrations that support big data applications. Topics will include AWS AppSync, Amazon Kendra for intelligent search, and EC2 optimization for handling large datasets. You’ll also gain insight into AWS Data Exchange for secure data transfers and explore AppFlow for automating data interactions.
6 videos1 assignment
In this module, we will focus on helping you prepare for the AWS certification exam with practical tips and strategies. We’ll cover everything from exam signup and walkthrough to cost-saving methods and additional time allowances for non-native English speakers. You’ll also have the opportunity to check your learning progress and ensure you’re fully prepared for the exam day.
5 videos
In this module, we will introduce key machine learning concepts relevant to AWS Big Data certification. You’ll explore Amazon’s ML services, including SageMaker, and engage in hands-on exercises that cover predictive modeling and data cleaning techniques. These topics will help you understand the role of machine learning in big data and how to apply it in real-world scenarios.
7 videos1 assignment
In this final module, we will conclude the course by discussing AWS certification paths and offering tips on how to continue building your AWS expertise. You'll receive advice on the next steps in your learning journey, along with a final check to ensure you're ready for the exam.
2 videos1 reading1 assignment
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
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