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AWS: Storage Systems and Data Management Course is the second course of AWS Certified Data Analytics Specialty Specialization. This course assists learners with knowledge of storage components with operational storage services. The concept of Implementation of DynamoDB Operational Characteristics and Redshift is also described in this course. Learners will be able to Analyze various approaches for Management of data. This course is basically divided into three modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 3:30-4:00 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
Read more
AWS: Storage Systems and Data Management Course is the second course of AWS Certified Data Analytics Specialty Specialization. This course assists learners with knowledge of storage components with operational storage services. The concept of Implementation of DynamoDB Operational Characteristics and Redshift is also described in this course. Learners will be able to Analyze various approaches for Management of data. This course is basically divided into three modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 3:30-4:00 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
Read more
AWS: Storage Systems and Data Management Course is the second course of AWS Certified Data Analytics Specialty Specialization. This course assists learners with knowledge of storage components with operational storage services. The concept of Implementation of DynamoDB Operational Characteristics and Redshift is also described in this course. Learners will be able to Analyze various approaches for Management of data. This course is basically divided into three modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 3:30-4:00 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
Module 1: Operational Characteristics of Storage Solutions for Data Analytics in AWS
Module 2: AWS: Storage Components and Data Management approaches
Module 3: Advanced Features: Storage Systems and Data Management in AWS
Register for this course and see more details by visiting:
OpenCourser.com/course/tczfo8/aws
What's inside
Syllabus
Operational Characteristics of Storage Solutions for Data Analytics in AWS
Welcome to Week 1 of the AWS: Storage Systems and Data Management Course. This week, we’ll analyze the operational characteristics of the storage solution for analytics. We’ll also gain demonstration of the operational characteristics of DynamoDB. We’ll end this week by understanding the working of Amazon Redshift service.
Read more
Syllabus
Operational Characteristics of Storage Solutions for Data Analytics in AWS
Welcome to Week 1 of the AWS: Storage Systems and Data Management Course. This week, we’ll analyze the operational characteristics of the storage solution for analytics. We’ll also gain demonstration of the operational characteristics of DynamoDB. We’ll end this week by understanding the working of Amazon Redshift service.
Read more
AWS: Storage Components and Data Management approaches
Welcome to Week 2 of the AWS: Storage Systems and Data Management Course. This week, we will learn how to determine data freshness, access, and retrieval patterns, and analyze Redshift data storage and retrieval patterns. We will also explore how to select the appropriate data layout, schema, structure, and format for Redshift. By the end of this week, we will be equipped with the knowledge and skills needed to effectively manage and analyze data using AWS storage systems.
Advanced Features: Storage Systems and Data Management in AWS
Welcome to Week 1 of the AWS: Storage Systems and Data Management Course. This week, we will focus on understanding the data lifecycle and determining the appropriate system for cataloging data and managing metadata. We will gain practical experience with the Glue data catalog, a metadata repository that makes it easy to discover and manage data assets. By the end of the week, we should have a good grasp of how to manage data effectively throughout its lifecycle and maximize its value to the organization.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers an assortment of real-world solutions for storage and data management
Strengthens a foundational understanding of storage and data management in AWS
May need to supplement learning with additional resources for hands-on experience
Examines real-time use cases commonly encountered in the field
Provides foundational understanding for beginners to the topic of AWS storage and data management
Taught by industry experts from Whizlabs, known for their expertise in AWS certifications
Save this course
Save AWS: Storage Systems and Data Management to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in AWS: Storage Systems and Data Management with these
activities:
Brush Up on SQL Skills
Show steps
Sharpen your SQL skills to ensure a strong foundation for data manipulation and analysis.
Browse courses on
SQL
Show steps
-
Review basic SQL syntax and commands
-
Practice writing queries to retrieve, filter, and aggregate data
-
Explore advanced SQL features, such as joins and subqueries
Review AWS Storage Services
Show steps
Review basic AWS storage services to ensure a solid foundation for the course.
Show steps
-
Identify different types of storage services offered by AWS
-
Understand the features and benefits of each service
-
Research use cases and best practices for each service
Create and Manage DynamoDB Tables
Show steps
Gain hands-on experience in working with DynamoDB, a key-value NoSQL database service.
Browse courses on
DynamoDB
Show steps
-
Set up a DynamoDB instance
-
Create tables with different data types and attributes
-
Insert, query, and update data in tables
-
Configure security and access controls
Four other activities
Expand to see all activities and additional details
Show all seven activities
Mentor Junior Data Engineers
Show steps
Share your expertise and guide junior data engineers to enhance their skills and career growth.
Browse courses on
Mentoring
Show steps
-
Offer support and guidance to junior data engineers
-
Provide feedback on their work and help them identify areas for improvement
-
Share knowledge and industry best practices
-
Help them network with other professionals in the field
-
Encourage their professional development and career aspirations
Redshift Data Loading and Analysis Techniques
Show steps
Follow online tutorials to enhance your skills in loading and analyzing data in Redshift, a powerful data warehousing service.
Browse courses on
Redshift
Show steps
-
Explore different data loading techniques, such as COPY and UNLOAD
-
Optimize table design for efficient data retrieval
-
Perform complex data analysis using SQL queries
-
Create visualizations and dashboards to present insights
Design a Data Storage Solution for a Real-World Scenario
Show steps
Apply your knowledge by designing a tailored data storage solution for a specific business scenario.
Browse courses on
System Design
Show steps
-
Identify business requirements and data characteristics
-
Select and configure appropriate AWS storage services
-
Design a data model and schema
-
Implement security and compliance measures
-
Create a detailed documentation of the solution
Contribute to the AWS Glue Open Source Project
Show steps
Make valuable contributions to the open-source community by participating in the AWS Glue project.
Browse courses on
AWS Glue
Show steps
-
Familiarize yourself with the AWS Glue codebase
-
Identify areas for improvement or feature requests
-
Create bug reports or pull requests with proposed changes
-
Collaborate with the AWS Glue development team
Brush Up on SQL Skills
Show steps
Sharpen your SQL skills to ensure a strong foundation for data manipulation and analysis.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review basic SQL syntax and commands
- Practice writing queries to retrieve, filter, and aggregate data
- Explore advanced SQL features, such as joins and subqueries
Review AWS Storage Services
Show steps
Review basic AWS storage services to ensure a solid foundation for the course.
Show steps
Show steps
Show steps
- Identify different types of storage services offered by AWS
- Understand the features and benefits of each service
- Research use cases and best practices for each service
Create and Manage DynamoDB Tables
Show steps
Gain hands-on experience in working with DynamoDB, a key-value NoSQL database service.
Browse courses on
DynamoDB
Show steps
Show steps
Show steps
- Set up a DynamoDB instance
- Create tables with different data types and attributes
- Insert, query, and update data in tables
- Configure security and access controls
Four other activities
Expand to see all activities and additional details
Show all seven activities
Mentor Junior Data Engineers
Show steps
Share your expertise and guide junior data engineers to enhance their skills and career growth.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Offer support and guidance to junior data engineers
- Provide feedback on their work and help them identify areas for improvement
- Share knowledge and industry best practices
- Help them network with other professionals in the field
- Encourage their professional development and career aspirations
Redshift Data Loading and Analysis Techniques
Show steps
Follow online tutorials to enhance your skills in loading and analyzing data in Redshift, a powerful data warehousing service.
Browse courses on
Redshift
Show steps
Show steps
Show steps
- Explore different data loading techniques, such as COPY and UNLOAD
- Optimize table design for efficient data retrieval
- Perform complex data analysis using SQL queries
- Create visualizations and dashboards to present insights
Design a Data Storage Solution for a Real-World Scenario
Show steps
Apply your knowledge by designing a tailored data storage solution for a specific business scenario.
Browse courses on
System Design
Show steps
Show steps
Show steps
- Identify business requirements and data characteristics
- Select and configure appropriate AWS storage services
- Design a data model and schema
- Implement security and compliance measures
- Create a detailed documentation of the solution
Contribute to the AWS Glue Open Source Project
Show steps
Make valuable contributions to the open-source community by participating in the AWS Glue project.
Browse courses on
AWS Glue
Show steps
Show steps
Show steps
- Familiarize yourself with the AWS Glue codebase
- Identify areas for improvement or feature requests
- Create bug reports or pull requests with proposed changes
- Collaborate with the AWS Glue development team
Career center
Learners who complete AWS: Storage Systems and Data Management will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers are responsible for designing and building the infrastructure that stores and processes data. They work closely with data scientists and analysts to ensure that the data is accessible, reliable, and secure. This course would be a valuable asset to any Data Engineer, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Data Analyst
Data Analyst
Data Analysts use data to identify trends and patterns, and to make recommendations for businesses. They work with a variety of data sources, including structured and unstructured data. This course would be a valuable asset to any Data Analyst, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Data Scientist
Data Scientist
Data Scientists use data to build models and to make predictions. They work with a variety of data sources, including structured and unstructured data. This course would be a valuable asset to any Data Scientist, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They work with a variety of database systems, including relational databases and NoSQL databases. This course would be a valuable asset to any Database Administrator, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Cloud Architect
Cloud Architect
Cloud Architects design and build cloud-based solutions. They work with a variety of cloud platforms, including AWS, Azure, and GCP. This course would be a valuable asset to any Cloud Architect, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Big Data Engineer
Big Data Engineer
Big Data Engineers are responsible for designing and building big data systems. They work with a variety of big data technologies, including Hadoop, Spark, and Cassandra. This course would be a valuable asset to any Big Data Engineer, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models. They work with a variety of machine learning technologies, including TensorFlow, PyTorch, and scikit-learn. This course would be a valuable asset to any Machine Learning Engineer, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Software Engineer
Software Engineer
Software Engineers design and build software applications. They work with a variety of programming languages and technologies. This course would be a valuable asset to any Software Engineer, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Network Engineer
Network Engineer
Network Engineers design and build computer networks. They work with a variety of networking technologies, including routers, switches, and firewalls. This course would be a valuable asset to any Network Engineer, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Security Engineer
Security Engineer
Security Engineers design and build security systems. They work with a variety of security technologies, including firewalls, intrusion detection systems, and antivirus software. This course would be a valuable asset to any Security Engineer, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Systems Engineer
Systems Engineer
Systems Engineers design and build computer systems. They work with a variety of hardware and software technologies. This course would be a valuable asset to any Systems Engineer, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with a variety of stakeholders, including engineers, marketers, and customers. This course would be a valuable asset to any Product Manager, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Business Analyst
Business Analyst
Business Analysts work with businesses to identify and solve problems. They use a variety of analytical techniques, including data analysis, financial analysis, and market research. This course would be a valuable asset to any Business Analyst, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Project Manager
Project Manager
Project Managers are responsible for the planning and execution of projects. They work with a variety of stakeholders, including team members, customers, and stakeholders. This course would be a valuable asset to any Project Manager, as it provides a comprehensive overview of AWS storage systems and data management approaches.
Technical Writer
Technical Writer
Technical Writers create documentation for software and hardware products. They work with a variety of stakeholders, including engineers, marketers, and customers. This course would be a valuable asset to any Technical Writer, as it provides a comprehensive overview of AWS storage systems and data management approaches.
For more career information including salaries, visit:
OpenCourser.com/course/tczfo8/aws
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AWS: Storage Systems and Data Management.
Hadoop popular open-source framework for managing and processing large datasets. provides a deep dive into the Hadoop ecosystem, including HDFS, MapReduce, and YARN.
Provides a high-level overview of cloud data management. It covers a wide range of topics, from data storage and processing to data security and compliance.
Provides a comprehensive overview of data-intensive text processing, covering a range of topics such as data storage, processing, and analytics. It valuable resource for anyone looking to gain a deeper understanding of how to manage data effectively in the cloud.
Provides a comprehensive overview of cloud computing, covering a range of topics such as data storage, processing, and analytics. It valuable resource for anyone looking to gain a deeper understanding of how to manage data effectively in the cloud.
Provides a comprehensive overview of Spark, a popular open-source big data platform. It valuable resource for anyone looking to learn more about how to use Spark to build and deploy big data applications.
Provides a foundation in data management concepts and principles. It covers a wide range of topics, from data modeling and storage to data security and compliance.
Save
Provides a practical introduction to data visualization. It covers a wide range of topics, from data exploration and preparation to data visualization techniques and best practices.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/tczfo8/aws
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Effort
3 weeks of study, 3-3:30 hours/week
Level
Introductory
Via
Coursera
Institution
Whizlabs
Instructor
Whizlabs Instructor
Language
English
This course belongs to a
collection
called
Exam Prep DAS-C01: AWS Certified Data Analytics Specialty. It's comprised of five courses:
- AWS Data Processing
- AWS: Security in Data Analytics
- AWS: Data Analysis and Visualization
- AWS: Storage Systems and Data Management (viewing)
- AWS: Data Collection Systems
Good to know
Covers an assortment of real-world solutions for storage and data management
Strengthens a foundational understanding of storage and data management in AWS
May need to supplement learning with additional resources for hands-on experience
Examines real-time use cases commonly encountered in the field
Provides foundational understanding for beginners to the topic of AWS storage and data management
Taught by industry experts from Whizlabs, known for their expertise in AWS certifications
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