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AWS Instructor
In this course, you will learn about the benefits and technical concepts of Amazon Redshift. If you are new to the service, you will learn how to start using it through a demonstration with the AWS Management Console.
Read more
In this course, you will learn about the benefits and technical concepts of Amazon Redshift. If you are new to the service, you will learn how to start using it through a demonstration with the AWS Management Console.
Read more
In this course, you will learn about the benefits and technical concepts of Amazon Redshift. If you are new to the service, you will learn how to start using it through a demonstration with the AWS Management Console.
You will also review the native architecture of Amazon Redshift. You will gain an understanding of how the service's built-in features can help you analyze data across operational databases, data lakes, data warehouses, and third-party datasets.
Register for this course and see more details by visiting:
OpenCourser.com/course/blch8m/getting
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What's inside
Syllabus
Getting Started with Amazon Redshift
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches data analysis across different types of data sources, which is relevant for businesses seeking comprehensive insights
Provides hands-on experience through the AWS Management Console, which makes learning practical
Suitable for beginners starting with Amazon Redshift, as it provides a foundational understanding of its architecture and features
Taught by AWS Instructors, who have expertise in the platform and its applications
Covers the native architecture of Amazon Redshift, which is essential for understanding the platform's capabilities
May require prior experience in data analysis or related fields to fully benefit from the course
Save this course
Save Getting Started with Amazon Redshift 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 Getting Started with Amazon Redshift with these
activities:
Review principles of data warehousing
Show steps
Better prepare you for this course by refreshing your understanding of the basics of data warehousing.
Show steps
-
Review definitions and concepts of data warehousing
-
Examine typical data warehousing architectures
-
Analyze key data warehousing tools and platforms
Review Data Warehouse Concepts
Show steps
Refreshes data warehouse concepts to bolster understanding of the course material.
Browse courses on
Data Warehouse
Show steps
-
Read articles on data warehouse concepts.
-
Take online quizzes on data warehouse topics.
-
Review notes from previous data warehouse courses or projects.
Read 'Designing Data-Intensive Applications' by Martin Kleppmann
Show steps
Learn about data modeling, distributed systems, and other key concepts related to this course.
View
Secret Colors
on Amazon
Show steps
-
Read the book and take notes
-
Summarize the key concepts you've learned
-
Discuss the book with other students or a mentor
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Follow AWS Redshift Tutorial Series
Show steps
This tutorial series will walk you through the basics of creating and using Amazon Redshift.
Show steps
-
Follow the steps in the AWS Redshift tutorial series on the official AWS website.
-
Experiment with the different features of Amazon Redshift.
-
Complete the exercises at the end of each section.
Join an Amazon Redshift User Group
Show steps
Joining a user group can help you connect with other Amazon Redshift users and learn from their experiences.
Show steps
-
Find an Amazon Redshift user group in your area.
-
Attend meetings and participate in discussions.
-
Share your own knowledge and experience with other members.
Create a sample data warehouse using Amazon Redshift
Show steps
Help you get hands-on experience with Amazon Redshift, the technology you'll be using in this course.
Show steps
-
Create an Amazon Redshift cluster
-
Load sample data into your cluster
-
Build a simple data model
-
Query your data and analyze the results
Practice SQL Queries with Redshift
Show steps
Writing SQL queries is an important part of working with Amazon Redshift. This activity will help you practice your SQL skills.
Show steps
-
Find a set of SQL practice problems online.
-
Attempt to solve the problems using Amazon Redshift.
-
Check your answers against the provided solutions.
Participate in a study group with other students
Show steps
Reinforce your understanding of the course material and get feedback from peers.
Show steps
-
Find a study group to join
-
Attend study group meetings regularly
-
Participate in discussions and ask questions
Attend a data analytics meet-up or conference
Show steps
Connect with other professionals in the data analytics field and learn about new trends.
Show steps
-
Find a data analytics meet-up or conference to attend
-
Network with other attendees
-
Attend presentations and workshops
Build a Data Pipeline with Redshift
Show steps
Building a data pipeline is a great way to apply your knowledge of Amazon Redshift.
Show steps
-
Design a data pipeline that meets your specific needs.
-
Implement the data pipeline using Amazon Redshift.
-
Test the data pipeline to ensure that it is working correctly.
Develop a data analytics solution for a real-world problem
Show steps
Apply the skills and knowledge you've gained in this course to solve a real-world problem.
Browse courses on
Machine Learning Projects
Show steps
-
Identify a problem that can be solved using data analytics
-
Gather and prepare data
-
Analyze data and develop insights
-
Develop and implement a solution
-
Evaluate the results of your solution
Review principles of data warehousing
Show steps
Better prepare you for this course by refreshing your understanding of the basics of data warehousing.
Show steps
Show steps
Show steps
- Review definitions and concepts of data warehousing
- Examine typical data warehousing architectures
- Analyze key data warehousing tools and platforms
Review Data Warehouse Concepts
Show steps
Refreshes data warehouse concepts to bolster understanding of the course material.
Browse courses on
Data Warehouse
Show steps
Show steps
Show steps
- Read articles on data warehouse concepts.
- Take online quizzes on data warehouse topics.
- Review notes from previous data warehouse courses or projects.
Read 'Designing Data-Intensive Applications' by Martin Kleppmann
Show steps
Learn about data modeling, distributed systems, and other key concepts related to this course.
View
Secret Colors
on Amazon
Show steps
Show steps
Show steps
- Read the book and take notes
- Summarize the key concepts you've learned
- Discuss the book with other students or a mentor
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Follow AWS Redshift Tutorial Series
Show steps
This tutorial series will walk you through the basics of creating and using Amazon Redshift.
Show steps
Show steps
Show steps
- Follow the steps in the AWS Redshift tutorial series on the official AWS website.
- Experiment with the different features of Amazon Redshift.
- Complete the exercises at the end of each section.
Join an Amazon Redshift User Group
Show steps
Joining a user group can help you connect with other Amazon Redshift users and learn from their experiences.
Show steps
Show steps
Show steps
- Find an Amazon Redshift user group in your area.
- Attend meetings and participate in discussions.
- Share your own knowledge and experience with other members.
Create a sample data warehouse using Amazon Redshift
Show steps
Help you get hands-on experience with Amazon Redshift, the technology you'll be using in this course.
Show steps
Show steps
Show steps
- Create an Amazon Redshift cluster
- Load sample data into your cluster
- Build a simple data model
- Query your data and analyze the results
Practice SQL Queries with Redshift
Show steps
Writing SQL queries is an important part of working with Amazon Redshift. This activity will help you practice your SQL skills.
Show steps
Show steps
Show steps
- Find a set of SQL practice problems online.
- Attempt to solve the problems using Amazon Redshift.
- Check your answers against the provided solutions.
Participate in a study group with other students
Show steps
Reinforce your understanding of the course material and get feedback from peers.
Show steps
Show steps
Show steps
- Find a study group to join
- Attend study group meetings regularly
- Participate in discussions and ask questions
Attend a data analytics meet-up or conference
Show steps
Connect with other professionals in the data analytics field and learn about new trends.
Show steps
Show steps
Show steps
- Find a data analytics meet-up or conference to attend
- Network with other attendees
- Attend presentations and workshops
Build a Data Pipeline with Redshift
Show steps
Building a data pipeline is a great way to apply your knowledge of Amazon Redshift.
Show steps
Show steps
Show steps
- Design a data pipeline that meets your specific needs.
- Implement the data pipeline using Amazon Redshift.
- Test the data pipeline to ensure that it is working correctly.
Develop a data analytics solution for a real-world problem
Show steps
Apply the skills and knowledge you've gained in this course to solve a real-world problem.
Browse courses on
Machine Learning Projects
Show steps
Show steps
Show steps
- Identify a problem that can be solved using data analytics
- Gather and prepare data
- Analyze data and develop insights
- Develop and implement a solution
- Evaluate the results of your solution
Career center
Learners who complete Getting Started with Amazon Redshift will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing data to identify trends and patterns. You will use this information to make recommendations to businesses on how to improve their operations. The Getting Started with Amazon Redshift course can help you build a foundation in data analysis by teaching you how to use Amazon Redshift, a powerful data warehouse service. This course will give you the skills you need to succeed in this role.
Data Engineer
Data Engineer
As a Data Engineer, you will be designing, developing, and maintaining data pipelines that move data from various sources into a data warehouse or data lake. YOu will also be responsible for ensuring that the data is clean, consistent, and accessible to analysts and other users. The Getting Started with Amazon Redshift course can help you build a foundation in data engineering by teaching you how to use Amazon Redshift, a powerful data warehouse service. This course will give you the skills you need to succeed in this role.
Business Analyst
Business Analyst
As a Business Analyst, you will be responsible for identifying and solving business problems by analyzing data and making recommendations to stakeholders. You will use your skills in data analysis, problem-solving, and communication to help businesses make better decisions. The Getting Started with Amazon Redshift course can help you build a foundation in business analysis by teaching you how to use Amazon Redshift, a powerful data warehouse service. This course will give you the skills you need to succeed in this role.
Data Scientist
Data Scientist
As a Data Scientist, you will be responsible for using data to solve business problems and develop new products and services. You will use your skills in machine learning, statistics, and data analysis to build models that can predict future outcomes and make recommendations. The Getting Started with Amazon Redshift course can help you build a foundation in data science by teaching you how to use Amazon Redshift, a powerful data warehouse service. This course will give you the skills you need to succeed in this role.
Database Administrator
Database Administrator
As a Database Administrator, you will be responsible for managing and maintaining databases. This will include tasks such as creating and managing user accounts, backing up and restoring databases, and optimizing performance. The Getting Started with Amazon Redshift course can help you build a foundation in database administration by teaching you how to use Amazon Redshift, a powerful data warehouse service. This course will give you the skills you need to succeed in this role.
Solutions Architect
Solutions Architect
As a Solutions Architect, you will be responsible for designing and implementing cloud-based solutions for customers. You will work with customers to understand their business needs and develop solutions that meet those needs. You will also be responsible for managing and maintaining these solutions. The Getting Started with Amazon Redshift course can help you build a foundation in cloud computing by teaching you how to use Amazon Redshift, a powerful data warehouse service. This course will give you the skills you need to succeed in this role.
Cloud Engineer
Cloud Engineer
As a Cloud Engineer, you will be responsible for designing, building, and managing cloud-based infrastructure. You will work with customers to understand their business needs and develop solutions that meet those needs. You will also be responsible for managing and maintaining these solutions. The Getting Started with Amazon Redshift course can help you build a foundation in cloud computing by teaching you how to use Amazon Redshift, a powerful data warehouse service. This course will give you the skills you need to succeed in this role.
Software Engineer
Software Engineer
As a Software Engineer, you will be responsible for designing, developing, and testing software applications. You will work with customers to understand their business needs and develop solutions that meet those needs. You will also be responsible for managing and maintaining these applications. The Getting Started with Amazon Redshift course can help you build a foundation in software development by teaching you how to use Amazon Redshift, a powerful data warehouse service. This course will give you the skills you need to succeed in this role.
Data Warehouse Engineer
Data Warehouse Engineer
As a Data Warehouse Engineer, you will be responsible for designing, building, and maintaining data warehouses. You will work with customers to understand their business needs and develop solutions that meet those needs. You will also be responsible for managing and maintaining these data warehouses. The Getting Started with Amazon Redshift course can help you build a foundation in data warehousing by teaching you how to use Amazon Redshift, a powerful data warehouse service. This course will give you the skills you need to succeed in this role.
ETL Developer
ETL Developer
As an ETL Developer, you will be responsible for developing and maintaining extract, transform, and load (ETL) processes. These processes will move data from various sources into a data warehouse or data lake. You will also be responsible for ensuring that the data is clean, consistent, and accessible to analysts and other users. The Getting Started with Amazon Redshift course can help you build a foundation in ETL development by teaching you how to use Amazon Redshift, a powerful data warehouse service. This course will give you the skills you need to succeed in this role.
Database Developer
Database Developer
As a Database Developer, you will be responsible for designing and developing databases. This will include creating tables, indexes, and stored procedures. You will also be responsible for managing and maintaining these databases. The Getting Started with Amazon Redshift course can help you build a foundation in database development by teaching you how to use Amazon Redshift, a powerful data warehouse service. This course will give you the skills you need to succeed in this role.
Data Architect
Data Architect
As a Data Architect, you will be responsible for designing and managing the data architecture for an organization. This will include developing data models, defining data standards, and ensuring that data is managed in a consistent and efficient manner. The Getting Started with Amazon Redshift course can help you build a foundation in data architecture by teaching you how to use Amazon Redshift, a powerful data warehouse service. This course will give you the skills you need to succeed in this role.
Project Manager
Project Manager
As a Project Manager, you will be responsible for planning, executing, and controlling projects. This will include developing project plans, managing budgets, and tracking progress. The Getting Started with Amazon Redshift course may be useful for you if you are interested in working on projects that involve data warehousing or data analysis. This course will give you a basic understanding of Amazon Redshift, a powerful data warehouse service.
Business Intelligence Analyst
Business Intelligence Analyst
As a Business Intelligence Analyst, you will be responsible for analyzing data to identify trends and patterns. You will use this information to make recommendations to businesses on how to improve their operations. The Getting Started with Amazon Redshift course may be useful for you if you are interested in working with data. This course will give you a basic understanding of Amazon Redshift, a powerful data warehouse service.
Data Visualization Specialist
Data Visualization Specialist
As a Data Visualization Specialist, you will be responsible for creating visualizations that communicate data insights to stakeholders. This will include using data visualization tools to create charts, graphs, and other visual representations of data. The Getting Started with Amazon Redshift course may be useful for you if you are interested in working with data. This course will give you a basic understanding of Amazon Redshift, a powerful data warehouse service.
For more career information including salaries, visit:
OpenCourser.com/course/blch8m/getting
Reading list
We've selected 12 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
Getting Started with Amazon Redshift.
Provides a comprehensive overview of data warehousing concepts and best practices. It covers the entire data warehousing lifecycle, from design and development to deployment and maintenance.
Understand Redshift's architecture, data loading techniques, and optimization strategies for large-scale data warehousing.
Save
Provides a practical guide to designing and building data-intensive applications. It covers topics such as data modeling, data storage, and data processing.
Provides a foundational understanding of data warehousing concepts and technologies. It covers topics such as data modeling, data integration, and data analysis.
Provides a comprehensive overview of Hadoop, a popular big data framework. It covers topics such as data storage, data processing, and data analysis.
Provides a comprehensive overview of Spark, a popular big data processing engine. It covers topics such as data processing, data analysis, and machine learning.
Provides a comprehensive overview of statistical learning, a subfield of machine learning that focuses on building predictive models. It covers topics such as linear regression, logistic regression, and tree-based models.
Provides a comprehensive overview of deep learning, a subfield of machine learning. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive overview of machine learning, a subfield of artificial intelligence. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning.
Provides a comprehensive overview of data science, a field that combines data analysis, machine learning, and statistics. It covers topics such as data cleaning, data visualization, and data modeling.
Save
Provides a comprehensive overview of data mining, a subfield of machine learning that focuses on extracting knowledge from data. It covers topics such as data preprocessing, data clustering, and data classification.
Provides a comprehensive overview of statistical learning, a subfield of machine learning that focuses on building predictive models. It covers topics such as linear regression, logistic regression, and tree-based models.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/blch8m/getting
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Level
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Via
Coursera
Institution
Amazon Web Services
Instructor
AWS Instructor
Language
English
Good to know
Teaches data analysis across different types of data sources, which is relevant for businesses seeking comprehensive insights
Provides hands-on experience through the AWS Management Console, which makes learning practical
Suitable for beginners starting with Amazon Redshift, as it provides a foundational understanding of its architecture and features
Taught by AWS Instructors, who have expertise in the platform and its applications
Covers the native architecture of Amazon Redshift, which is essential for understanding the platform's capabilities
May require prior experience in data analysis or related fields to fully benefit from the course
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