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AWS
In this course, we will introduce you to AWS Data Pipeline, the web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premise data sources, at specified intervals.
Read more
In this course, we will introduce you to AWS Data Pipeline, the web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premise data sources, at specified intervals.
Read more
In this course, we will introduce you to AWS Data Pipeline, the web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premise data sources, at specified intervals.
In this course, we will introduce you to AWS Data Pipeline, the web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premise data sources, at specified intervals. We cover components like tasks, task runner, and pipeline; discuss what a pipeline definition is, and review the AWS services that are compatible with AWS Data Pipeline. We’ll also demonstrate the service and explore use cases.
Register for this course and see more details by visiting:
OpenCourser.com/course/qlsqex/introduction
What's inside
Syllabus
Introduction to AWS Data Pipeline
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Strengthens existing foundation for intermediate learners
Teaches skills, knowledge, and/or tools that are highly relevant to industry
Teaches skills, knowledge, and/or tools that are highly relevant in an academic setting
Covers unique perspectives are ideas that may add color to other topics and subjects
Instructors are AWS, who are recognized for their work in AWS
Explores AWS Data Pipeline, which is standard in industry
Save this course
Save Introduction to AWS Data Pipeline 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 Introduction to AWS Data Pipeline with these
activities:
Review Data Management Concepts
Show steps
Refresh your knowledge of data management concepts to better understand the course materials.
Browse courses on
Data Management
Show steps
-
Review basic data models.
-
Practice SQL queries.
Gather Resources on AWS Data Pipeline
Show steps
Build a repository of resources related to AWS Data Pipeline for future reference.
Show steps
-
Search for resources.
-
Organize the resources.
Follow Tutorials on Data Pipeline
Show steps
Follow tutorials to gain practical experience with AWS Data Pipeline.
Show steps
-
Look for online tutorials.
-
Follow a tutorial step-by-step.
-
Experiment with the pipeline.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Discuss Data Pipeline Best Practices with Peers
Show steps
Engage with peers to share knowledge and learn from each other about best practices for data pipelines.
Show steps
-
Join or organize a peer session.
-
Share your experiences.
-
Learn from others.
Create Data Pipelines in a Sandbox
Show steps
Get hands-on experience by creating and testing data pipelines in a sandbox environment.
Show steps
-
Set up a sandbox environment.
-
Create a data pipeline.
-
Test the pipeline.
Mentor Students on AWS Data Pipeline
Show steps
Strengthen your understanding of data pipelines by mentoring others and sharing your knowledge.
Show steps
-
Find a mentee.
-
Provide guidance and support.
Design a Data Pipeline for a Business Case
Show steps
Apply your knowledge of data pipelines by designing a solution for a real-world business case.
Show steps
-
Identify a business case.
-
Design the pipeline.
-
Present the design.
Participate in a Data Analytics Hackathon
Show steps
Challenge yourself and showcase your skills in a real-world data analytics competition.
Show steps
-
Find a hackathon.
-
Form a team.
-
Develop a solution.
-
Present your solution.
Review Data Management Concepts
Show steps
Refresh your knowledge of data management concepts to better understand the course materials.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Review basic data models.
- Practice SQL queries.
Gather Resources on AWS Data Pipeline
Show steps
Build a repository of resources related to AWS Data Pipeline for future reference.
Show steps
Show steps
Show steps
- Search for resources.
- Organize the resources.
Follow Tutorials on Data Pipeline
Show steps
Follow tutorials to gain practical experience with AWS Data Pipeline.
Show steps
Show steps
Show steps
- Look for online tutorials.
- Follow a tutorial step-by-step.
- Experiment with the pipeline.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Discuss Data Pipeline Best Practices with Peers
Show steps
Engage with peers to share knowledge and learn from each other about best practices for data pipelines.
Show steps
Show steps
Show steps
- Join or organize a peer session.
- Share your experiences.
- Learn from others.
Create Data Pipelines in a Sandbox
Show steps
Get hands-on experience by creating and testing data pipelines in a sandbox environment.
Show steps
Show steps
Show steps
- Set up a sandbox environment.
- Create a data pipeline.
- Test the pipeline.
Mentor Students on AWS Data Pipeline
Show steps
Strengthen your understanding of data pipelines by mentoring others and sharing your knowledge.
Show steps
Show steps
Show steps
- Find a mentee.
- Provide guidance and support.
Design a Data Pipeline for a Business Case
Show steps
Apply your knowledge of data pipelines by designing a solution for a real-world business case.
Show steps
Show steps
Show steps
- Identify a business case.
- Design the pipeline.
- Present the design.
Participate in a Data Analytics Hackathon
Show steps
Challenge yourself and showcase your skills in a real-world data analytics competition.
Show steps
Show steps
Show steps
- Find a hackathon.
- Form a team.
- Develop a solution.
- Present your solution.
Career center
Learners who complete Introduction to AWS Data Pipeline will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers are responsible for managing data in an organization's systems. They design and implement data pipelines to move data from various sources into and out of a company's data infrastructure. Data pipelines are a key aspect of data engineering. This course, Introduction to AWS Data Pipeline, can help build a foundation for those interested in transitioning into the field of data engineering. It introduces AWS Data Pipeline, a tool used to manage data pipelines.
Data Analyst
Data Analyst
Data Analysts uncover meaningful insights from data. They interpret, analyze, and communicate patterns and trends to support decision-making. Knowledge of data pipelines is also beneficial, because data analysts often help design and manage data pipelines, and this course, Introduction to AWS Data Pipeline, will provide knowledge that may be helpful to one in such a role.
Data Scientist
Data Scientist
Data Scientists use scientific methods and algorithms to extract meaningful insights from data. They often use data pipelines to automate the process of collecting and processing data. This course, Introduction to AWS Data Pipeline, may be helpful to one in such a role, as it can help build a foundation in data pipelines and provide valuable knowledge in the field.
Cloud Engineer
Cloud Engineer
Cloud Engineers are responsible for the design, implementation, and management of cloud computing systems. They must have a strong understanding of the cloud platform they are working with, as well as the ability to manage data pipelines and other cloud services. This course, Introduction to AWS Data Pipeline, may be helpful to one in such a role.
Database Administrator
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases. They must have a strong understanding of data pipelines, as they are often responsible for managing the flow of data into and out of databases. This course, Introduction to AWS Data Pipeline, may be helpful to one in such a role by providing an overview of data pipelines and discussing how they can be used to manage data.
Data Architect
Data Architect
Data Architects design and implement data management solutions. They work with stakeholders to understand data requirements and design data pipelines to meet those requirements. This course, Introduction to AWS Data Pipeline, may be helpful to one in such a role, as it can help build a foundation in data pipelines.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They may work on projects that involve data pipelines, and this course, Introduction to AWS Data Pipeline, may provide helpful knowledge.
Data Analytics Manager
Data Analytics Manager
Data Analytics Managers plan and oversee data analytics initiatives for businesses. They interpret and communicate data insights to guide decision-making. Understanding data pipelines is important for such a role, and this course can provide an introduction to data pipelines.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts create and implement policies and processes to ensure the ethical and responsible use of data within an organization. They work with stakeholders to define data governance requirements and design data pipelines that comply with those requirements. Introduction to AWS Data Pipeline may be helpful, as it can help build a foundation in data pipelines and data governance.
Data Quality Analyst
Data Quality Analyst
Data Quality Analysts ensure that data is accurate, consistent, and complete. They work with stakeholders to define data quality requirements and design data pipelines that meet those requirements. This course, Introduction to AWS Data Pipeline, may provide helpful knowledge.
Data Integration Architect
Data Integration Architect
Data Integration Architects design and implement data integration solutions. They work with stakeholders to understand data integration requirements and design data pipelines to meet those requirements. This course, Introduction to AWS Data Pipeline, may be helpful to one in such a role.
Data Migration Specialist
Data Migration Specialist
Data Migration Specialists plan and execute data migrations. They work with stakeholders to understand data migration requirements and design data pipelines to meet those requirements. This course, Introduction to AWS Data Pipeline, may be helpful to one in such a role.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They interpret and communicate data insights to guide decision-making. Understanding data pipelines is important for such a role, and this course can provide an introduction to data pipelines.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouse solutions. They work with stakeholders to understand data warehouse requirements and design data pipelines to meet those requirements. This course, Introduction to AWS Data Pipeline, may be helpful to one in such a role.
Data Integration Engineer
Data Integration Engineer
Data Integration Engineers design and implement data integration solutions. They work with stakeholders to understand data integration requirements and design data pipelines to meet those requirements. This course, Introduction to AWS Data Pipeline, may be helpful to one in such a role.
For more career information including salaries, visit:
OpenCourser.com/course/qlsqex/introduction
Reading list
We've selected six 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
Introduction to AWS Data Pipeline.
Save
This foundational work on data-intensive applications provides a deep understanding of the principles and challenges of data processing, complementing the specific focus on AWS Data Pipeline in the course.
Offers a broader perspective on big data solutions on AWS, including but not limited to Data Pipeline, providing context for its role in the larger data architecture landscape.
Teaches the basics of data analysis in Python, including data wrangling and manipulation, which are essential skills for building data pipelines.
This comprehensive reference guide to Hadoop provides a solid foundation for understanding the underlying concepts and technologies that are relevant to AWS Data Pipeline as well.
Save
While this book focuses on Apache Spark, it provides valuable insights into data processing techniques and algorithms that are relevant to AWS Data Pipeline as well.
Focuses on data manipulation with Pandas, a popular Python library for data analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qlsqex/introduction
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Time
12 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
Strengthens existing foundation for intermediate learners
Teaches skills, knowledge, and/or tools that are highly relevant to industry
Teaches skills, knowledge, and/or tools that are highly relevant in an academic setting
Covers unique perspectives are ideas that may add color to other topics and subjects
Instructors are AWS, who are recognized for their work in AWS
Explores AWS Data Pipeline, which is standard in industry
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