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Fernando Medina Corey
AWS has some of the more comprehensive data collection services in the world. This course will teach you how to leverage various AWS services in accordance with your data collection needs.
Read more
AWS has some of the more comprehensive data collection services in the world. This course will teach you how to leverage various AWS services in accordance with your data collection needs.
Read more
AWS has some of the more comprehensive data collection services in the world. This course will teach you how to leverage various AWS services in accordance with your data collection needs.
Whenever you’re doing data analytics, the first step is to find a way to collect all the information you want to process. In this course, Collecting Data on AWS, you’ll learn to determine the best ways to ingest your data into AWS. First, you’ll explore how to collect data in AWS over a dedicated network or with hardware appliances. Next, you’ll discover how you can migrate databases using the Database Migration Service (DMS). Finally, you’ll learn how to leverage the Amazon Kinesis family of services, and when each of those is most appropriate. When you’re finished with this course, you’ll have the skills and knowledge of Data Collection on AWS needed to prepare your own data ingestion pipelines.
Register for this course and see more details by visiting:
OpenCourser.com/course/ir0dfa/collecting
What's inside
Syllabus
Course Overview
The Kinesis Family
Amazon Kinesis Data Streams
Amazon Kinesis Data Firehose
Read more
Syllabus
Course Overview
The Kinesis Family
Amazon Kinesis Data Streams
Amazon Kinesis Data Firehose
Read more
Data Transfer with Snowball and Direct Connect
AWS Database Migration Service
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills and knowledge in data collection on AWS, which are core skills for data analytics
Explores the Amazon Kinesis family of services, which is standard in industry
Taught by Fernando Medina Corey, who is recognized for their work in data collection on AWS
Examines data transfer with Snowball and Direct Connect, which is highly relevant to data collection on AWS
Multi-modal, and includes a mix of media, such as videos, readings, discussions, etc
Instructs learners to determine the best ways to ingest their data into AWS, which is a core skill for data analytics
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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 Collecting Data on AWS with these
activities:
Organize and Review Course Materials
Show steps
Organize and review course materials to ensure you have a solid foundation for the course.
Show steps
-
Gather course notes, assignments, quizzes, and exams
-
Create a system for organizing these materials
-
Review the materials regularly
Review AWS Developer Guide
Show steps
Review the AWS Developer Guide to understand the key features and capabilities of AWS.
Browse courses on
AWS
Show steps
-
Visit the AWS Developer Guide website
-
Browse the documentation for the AWS services
-
Focus on the services that are relevant to the topics of data collection
Follow Tutorials for AWS Data Collection Services
Show steps
Follow tutorials to gain hands-on experience with various AWS data collection services.
Browse courses on
Amazon Kinesis Data Streams
Show steps
-
Search for tutorials on AWS data collection
-
Select a tutorial that aligns with your skill level and interests.
-
Work through the tutorial step-by-step.
Show all three activities
Organize and Review Course Materials
Show steps
Organize and review course materials to ensure you have a solid foundation for the course.
Show steps
Show steps
Show steps
- Gather course notes, assignments, quizzes, and exams
- Create a system for organizing these materials
- Review the materials regularly
Review AWS Developer Guide
Show steps
Review the AWS Developer Guide to understand the key features and capabilities of AWS.
Browse courses on
AWS
Show steps
Show steps
Show steps
- Visit the AWS Developer Guide website
- Browse the documentation for the AWS services
- Focus on the services that are relevant to the topics of data collection
Follow Tutorials for AWS Data Collection Services
Show steps
Follow tutorials to gain hands-on experience with various AWS data collection services.
Browse courses on
Amazon Kinesis Data Streams
Show steps
Show steps
Show steps
- Search for tutorials on AWS data collection
- Select a tutorial that aligns with your skill level and interests.
- Work through the tutorial step-by-step.
Show all three activities
Career center
Learners who complete Collecting Data on AWS will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers design and build the systems and infrastructure used to collect, store, and process data. The AWS Data Collection course may be particularly helpful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to give insights to managers and other stakeholders. Taking the AWS Data Collection course can help one build a foundation for understanding how to collect data in AWS. This is an important part of being able to work with data effectively.
Data Integration Engineer
Data Integration Engineer
Data Integration Engineers design, build, and maintain systems for integrating data from multiple sources. The AWS Data Collection course may be useful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. The AWS Data Collection course may be useful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. The AWS Data Collection course may be useful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
Cloud Architect
Cloud Architect
Cloud Architects design and build cloud-based systems. The AWS Data Collection course may be useful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
Data Warehouse Engineer
Data Warehouse Engineer
Data Warehouse Engineers design, build, and maintain data warehouses. The AWS Data Collection course may be useful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
Cloud Engineer
Cloud Engineer
Cloud Engineers build and manage cloud-based systems. The AWS Data Collection course may be useful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
Big Data Engineer
Big Data Engineer
Big Data Engineers design, build, and manage systems for handling large amounts of data. The AWS Data Collection course may be useful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
Systems Engineer
Systems Engineer
Systems Engineers design, build, and maintain computer systems. The AWS Data Collection course may be useful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
Technical Program Manager
Technical Program Manager
Technical Program Managers manage the technical aspects of software development projects. The AWS Data Collection course may be useful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. The AWS Data Collection course may be useful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. The AWS Data Collection course may be useful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
Business Analyst
Business Analyst
Business Analysts analyze business processes and develop solutions to improve efficiency and effectiveness. The AWS Data Collection course may be useful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
Data Architect
Data Architect
Data Architects design and build data architectures. The AWS Data Collection course may be useful for those interested in working with AWS services for data collection. Understanding how to collect data in AWS is a key part of being able to work with data effectively.
For more career information including salaries, visit:
OpenCourser.com/course/ir0dfa/collecting
Reading list
We've selected 13 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
Collecting Data on AWS.
Comprehensive study guide for the AWS Certified Solutions Architect - Associate exam. It covers all of the topics that are tested on the exam.
Provides a comprehensive overview of the principles and patterns for designing scalable systems. It covers topics such as load balancing, caching, and distributed systems.
Save
Provides a comprehensive overview of the principles and patterns for designing and implementing data meshes. It covers topics such as data governance, data quality, and data security.
Save
Provides a comprehensive overview of the concepts, technologies, and architectures of cloud computing. It covers topics such as cloud services, cloud platforms, and cloud security.
Save
Provides a comprehensive guide to using Amazon Kinesis to build real-time data streaming applications. It valuable resource for anyone who wants to learn more about using Amazon Kinesis.
Save
Provides a comprehensive overview of the principles and patterns for designing data-intensive applications. It covers topics such as data modeling, data storage, processing, and analysis.
Save
Provides a comprehensive guide to developing and deploying Java applications in the cloud. It covers topics such as cloud architecture, microservices, and DevOps.
Provides a practical guide to building and deploying microservices. It covers topics such as microservice architecture, design, and implementation.
Save
Introduces the principles of data-oriented design, a software development approach that emphasizes the importance of data in designing and implementing systems.
Provides a comprehensive guide to using MapReduce to process large amounts of text data. It valuable resource for anyone who wants to learn more about using MapReduce for data analysis.
Save
Provides a comprehensive guide to using Spark to build high-performance data processing applications. It valuable resource for anyone who wants to learn more about using Spark for data analysis.
Provides a comprehensive guide to using Spark for machine learning. It valuable resource for anyone who wants to learn more about using Spark for data analysis.
Provides a comprehensive guide to using TensorFlow for deep learning. It valuable resource for anyone who wants to learn more about using TensorFlow for data analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ir0dfa/collecting
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Time
138 hours
Level
Intermediate
Via
Pluralsight
Instructor
Fernando Medina Corey
Language
English
This course belongs to a
collection
called
AWS Certified Data Analytics – Specialty (DAS-C01). It's comprised of three courses:
- Collecting Data on AWS (viewing)
- Securing Data Analytics Pipelines on AWS
- Visualizing Data on AWS
Good to know
Develops skills and knowledge in data collection on AWS, which are core skills for data analytics
Explores the Amazon Kinesis family of services, which is standard in industry
Taught by Fernando Medina Corey, who is recognized for their work in data collection on AWS
Examines data transfer with Snowball and Direct Connect, which is highly relevant to data collection on AWS
Multi-modal, and includes a mix of media, such as videos, readings, discussions, etc
Instructs learners to determine the best ways to ingest their data into AWS, which is a core skill for data analytics
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