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Processing Data on AWS
Dan Tofan
Dan Tofan
This course will teach you the fundamentals of data processing with AWS. This topic is the most important domain of the AWS Certified Data Analytics specialty certification (24%, according to the official DAS-C01 Exam Guide.)
Read more
This course will teach you the fundamentals of data processing with AWS. This topic is the most important domain of the AWS Certified Data Analytics specialty certification (24%, according to the official DAS-C01 Exam Guide.)
Read more
This course will teach you the fundamentals of data processing with AWS. This topic is the most important domain of the AWS Certified Data Analytics specialty certification (24%, according to the official DAS-C01 Exam Guide.)
Learning the fundamentals of data processing with AWS is not as difficult as it may seem. In this course, Processing Data on AWS, you will learn how to process large amounts of data on AWS. First, you’ll explore data processing with Lambda and Glue. Next, you’ll discover the basics of the Hadoop ecosystem and how to use it with AWS EMR. Finally, you’ll learn how to automate data processing using AWS Data Pipeline. When you’re finished with this course, you’ll have the skills and knowledge of the AWS services needed to process large amounts of data on AWS and get certified in it.
Register for this course and see more details by visiting:
OpenCourser.com/course/hvwgp7/processing
What's inside
Syllabus
Course Overview
Processing Data with Lambda and Glue
Understanding the Hadoop Ecosystem
Processing Data with EMR
Read more
Syllabus
Course Overview
Processing Data with Lambda and Glue
Understanding the Hadoop Ecosystem
Processing Data with EMR
Read more
Automating Data Processing
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for those studying for the AWS Certified Data Analytics specialty certification
Taught by Dan Tofan, an instructor who is recognized for expertise in data processing
Explores up-to-date data processing tools, such as Lambda and Glue
Develops a strong foundation in data processing using AWS services
Provides insights into the Hadoop ecosystem
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Activities
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Processing Data on AWS.
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Career center
Learners who complete Processing Data on AWS will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
As a Data Engineer you will design and construct data pipelines. These pipelines collect, clean, and process vast quantities of data on a regular basis. The Processing Data on AWS course will help build a foundation because it covers data collection and processing with Lambda, Glue, and EMR.
Data Architect
Data Architect
Data Architects construct, manage, and maintain the infrastructure involved in data management and analytics. The Processing Data on AWS course is a beneficial preparation for this role because it contains essential information on the fundamentals of data processing on AWS, the leading provider of cloud computing services.
Data Analyst
Data Analyst
A Data Analyst processes data to extract meaningful insights, usually through statistical analysis. This course is an excellent starting point for this career, with an emphasis on processing large amounts of data on AWS.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts apply data analysis to business problems, providing insights and recommendations to decision makers. This course may be useful because it provides a foundation for processing and analyzing data with AWS tools and services.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing machine learning models.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. This course may be useful because it provides a foundation for data processing on AWS, a common platform for Data Scientists to use.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. This course may be useful because it provides a foundation for data processing on AWS, a major cloud computing provider.
Software Engineer
Software Engineer
Software Engineers apply engineering principles to the design, development, testing, deployment, and maintenance of software systems. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing software applications.
Database Administrator
Database Administrator
Database Administrators maintain and administer database systems. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing database systems.
Data Warehouse Analyst
Data Warehouse Analyst
Data Warehouse Analysts design, develop, and maintain data warehouses, which are large-scale data repositories that are used to support business intelligence and data analysis. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing data warehouses.
Information Technology Manager
Information Technology Manager
Information Technology Managers plan, implement, and manage information technology systems within an organization. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing IT systems.
Business Analyst
Business Analyst
Business Analysts analyze business processes and data to identify and solve business problems. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing business applications.
Systems Analyst
Systems Analyst
Systems Analysts analyze business processes and design and implement computer systems to support them. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing business applications.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. This course may be useful because it provides a foundation for data processing on AWS, a common platform for managing project-related data and applications.
Data Entry Clerk
Data Entry Clerk
Data Entry Clerks input data into computer systems. This course may be useful because it provides a foundation for data processing on AWS, a common platform for managing large amounts of data.
For more career information including salaries, visit:
OpenCourser.com/course/hvwgp7/processing
Reading list
We've selected nine 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
Processing Data on AWS.
Provides a detailed overview of the exam objectives, offering sample questions and practice exams. It is considered essential reading for anyone preparing for the AWS Certified Data Analytics - Specialty (DAS-C01) exam.
This comprehensive book covers the fundamentals of the Hadoop ecosystem, including HDFS, MapReduce, and YARN. It valuable resource for anyone who wants to gain a deep understanding of how Hadoop works and how to use it effectively.
Provides a comprehensive overview of big data analytics, covering everything from the basics of data storage and processing to advanced topics such as machine learning and deep learning. It valuable resource for anyone who wants to learn how to use Hadoop and other big data technologies effectively.
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Provides a comprehensive overview of Hadoop operations, covering everything from the basics of cluster configuration to advanced topics such as security and performance tuning. It valuable resource for anyone who is responsible for managing a Hadoop cluster.
Provides a gentle introduction to AWS, covering the basics of how to create and manage AWS resources. It good starting point for anyone who is new to AWS.
Provides a comprehensive overview of Apache Airflow, covering everything from the basics of data pipelines to advanced topics such as scheduling and monitoring. It valuable resource for anyone who wants to learn how to use Airflow effectively.
Save
Provides a comprehensive overview of Hadoop, covering everything from the basics of data storage and processing to advanced topics such as machine learning and deep learning. It valuable resource for anyone who wants to learn how to use Hadoop effectively.
Provides a comprehensive overview of Spark, a data processing engine that is used to process large amounts of data quickly and efficiently. It covers everything from the basics of how Spark works to advanced topics such as machine learning and deep learning. It valuable resource for anyone who wants to learn how to use Spark effectively.
Provides a comprehensive overview of how to use Python for deep learning, covering everything from the basics of deep learning to advanced topics such as convolutional neural networks and recurrent neural networks. It valuable resource for anyone who wants to learn how to use Python for deep learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hvwgp7/processing
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AWS Data Processing
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AWS Data Processing
Time
117 hours
Level
Intermediate
Via
Pluralsight
Instructor
Dan Tofan
Language
English
Good to know
Suitable for those studying for the AWS Certified Data Analytics specialty certification
Taught by Dan Tofan, an instructor who is recognized for expertise in data processing
Explores up-to-date data processing tools, such as Lambda and Glue
Develops a strong foundation in data processing using AWS services
Provides insights into the Hadoop ecosystem
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