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Derek Meng
Course Description
Building an Analytical Platform on Alibaba Cloud can empower how you take in, analyze, and demonstrate clear metrics from a set of Big Data. This course is designed to teach engineers how to use Alibaba Cloud Big Data products. It covers basic distributed system theory and Alibaba Cloud's core products like MaxCompute, DataWorks, E-MapReduce as well as a bundle of ecosystem tools.
To earn an official Alibaba Cloud certificate please join the Cloud Native courses on the Academy's website:
Big Data Analysis Specialty: https: //edu.alibabacloud.com/course/317
Read more
Course Description
Building an Analytical Platform on Alibaba Cloud can empower how you take in, analyze, and demonstrate clear metrics from a set of Big Data. This course is designed to teach engineers how to use Alibaba Cloud Big Data products. It covers basic distributed system theory and Alibaba Cloud's core products like MaxCompute, DataWorks, E-MapReduce as well as a bundle of ecosystem tools.
To earn an official Alibaba Cloud certificate please join the Cloud Native courses on the Academy's website:
Big Data Analysis Specialty: https: //edu.alibabacloud.com/course/317
Read more
Course Description
Building an Analytical Platform on Alibaba Cloud can empower how you take in, analyze, and demonstrate clear metrics from a set of Big Data. This course is designed to teach engineers how to use Alibaba Cloud Big Data products. It covers basic distributed system theory and Alibaba Cloud's core products like MaxCompute, DataWorks, E-MapReduce as well as a bundle of ecosystem tools.
To earn an official Alibaba Cloud certificate please join the Cloud Native courses on the Academy's website:
Big Data Analysis Specialty: https: //edu.alibabacloud.com/course/317
Machine Learning Specialty: https://edu.alibabacloud.com/course/318
Alibaba Cloud Big Data - Data Integration: https://edu.alibabacloud.com/certification/clouder_bigdatainteg
Register for this course and see more details by visiting:
OpenCourser.com/course/q8crjw/big
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What's inside
Syllabus
Intro to Hadoop
Apache Hadoop is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. This module will give you an introduction to Hadoop's features.
Read more
Syllabus
Intro to Hadoop
Apache Hadoop is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. This module will give you an introduction to Hadoop's features.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Teaches foundational concepts of Hadoop, which is standard in Big Data
Provides an overview of various Big Data products offered by Alibaba Cloud
Covers advanced concepts such as MaxCompute SQL, UDFs, and security
Introduces DataWorks for Big Data development and management
Includes practical examples and hands-on labs for better understanding
Requires prior knowledge or experience in data engineering
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Reviews summary
Alibaba cloud big data platform essentials
According to learners, this course offers a solid foundation in building a Big Data Analytical Platform on Alibaba Cloud. Many find the content practical and the hands-on labs and demos to be particularly useful for applying concepts immediately. It's highly recommended for those new to Alibaba Cloud's big data ecosystem. However, some experienced professionals suggest the course is too basic, with limited depth on advanced topics and superficial theoretical grounding in distributed systems. While it provides a good overview of Alibaba Cloud's core products like MaxCompute and DataWorks, learners may need supplementary study for comprehensive understanding.
A good introduction to Alibaba Cloud's specific Big Data services.
"This course provided an excellent introduction to Alibaba Cloud's Big Data ecosystem."
"I got a good overview of the various Alibaba Cloud Big Data products."
"It directly addresses how to use Alibaba Cloud products for big data."
"The DataWorks section was very helpful for workflow orchestration."
Focuses on direct application with useful labs and demos.
"The MaxCompute and DataWorks modules were particularly useful, offering clear explanations and practical demos."
"I learned how to use practical tools and strategies that I could apply immediately to my work."
"The hands-on labs were well-designed and really helped solidify my understanding."
"My team found it immediately applicable."
Some reviews mention audio quality, lab issues, or documentation-like content.
"The demonstrations were sometimes hard to follow due to poor audio quality in a few segments."
"I experienced technical issues with some labs, which was frustrating."
"Some sections felt like just reading the documentation."
Theoretical concepts, particularly distributed systems, are superficial.
"While it covers the products, I felt the theoretical depth, especially for distributed systems, was superficial."
"I struggled with some of the explanations and found myself resorting to external documentation often."
"I was disappointed with the theoretical grounding. It rushes through concepts like Hadoop."
Suitable for beginners, but lacks advanced depth for experts.
"As an advanced user, I found it a bit too basic, but for beginners, it's a solid foundation."
"The content is somewhat basic and doesn't dive deep enough into advanced topics or optimization techniques."
"I was hoping for more specific use cases."
"I think it's better for absolute beginners, not for someone with prior big data experience."
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 Big Data Analytical Platform on Alibaba Cloud with these
activities:
Review Basic Linux Commands
Show steps
Review the common Linux commands and their usage to strengthen your understanding of the operating system used in the course.
Show steps
-
Create a list of commonly used Linux commands.
-
Practice using the commands in a Linux terminal.
Organize Alibaba Cloud Big Data Resources
Show steps
Create a central repository of useful links, articles, and tutorials related to Alibaba Cloud's Big Data platform for easy reference and future learning.
Show steps
-
Gather materials from various sources.
-
Organize and categorize the resources.
Join a Study Group for MaxCompute
Show steps
Connect with fellow learners in a study group to share knowledge, discuss concepts, and reinforce your understanding of MaxCompute.
Show steps
-
Find or create a study group focused on MaxCompute.
-
Attend study sessions regularly and actively participate.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore Alibaba Cloud DataWorks Tutorials
Show steps
Follow interactive tutorials provided by Alibaba Cloud to gain hands-on experience with the DataWorks platform.
Browse courses on
Data Integration
Show steps
-
Access the Alibaba Cloud DataWorks documentation.
-
Choose a relevant tutorial based on your skill level.
-
Complete the tutorial and practice the concepts.
Solve MaxCompute SQL Queries
Show steps
Practice writing and executing MaxCompute SQL queries to improve your data analysis skills and understanding of the language.
Browse courses on
SQL Queries
Show steps
-
Find a collection of practice problems or exercises.
-
Attempt to solve the problems on your own.
-
Compare your solutions to the provided answers.
Develop a Data Pipelining Solution
Show steps
Create a practical solution using MaxCompute and E-MapReduce to process and transform large datasets, gaining experience in data pipelining.
Show steps
-
Identify a real-world data pipelining problem.
-
Design a solution using MaxCompute and E-MapReduce.
-
Implement the solution and test its functionality.
Build a Data Analysis Dashboard
Show steps
Create a comprehensive data analysis dashboard using Alibaba Cloud tools to gain practical experience in presenting insights from complex datasets.
Browse courses on
Data Visualization
Show steps
-
Identify a dataset and KPIs for analysis.
-
Design the dashboard layout and visualizations.
-
Implement the dashboard using Alibaba Cloud services.
Review Basic Linux Commands
Show steps
Review the common Linux commands and their usage to strengthen your understanding of the operating system used in the course.
Show steps
Show steps
Show steps
- Create a list of commonly used Linux commands.
- Practice using the commands in a Linux terminal.
Organize Alibaba Cloud Big Data Resources
Show steps
Create a central repository of useful links, articles, and tutorials related to Alibaba Cloud's Big Data platform for easy reference and future learning.
Show steps
Show steps
Show steps
- Gather materials from various sources.
- Organize and categorize the resources.
Join a Study Group for MaxCompute
Show steps
Connect with fellow learners in a study group to share knowledge, discuss concepts, and reinforce your understanding of MaxCompute.
Show steps
Show steps
Show steps
- Find or create a study group focused on MaxCompute.
- Attend study sessions regularly and actively participate.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore Alibaba Cloud DataWorks Tutorials
Show steps
Follow interactive tutorials provided by Alibaba Cloud to gain hands-on experience with the DataWorks platform.
Browse courses on
Data Integration
Show steps
Show steps
Show steps
- Access the Alibaba Cloud DataWorks documentation.
- Choose a relevant tutorial based on your skill level.
- Complete the tutorial and practice the concepts.
Solve MaxCompute SQL Queries
Show steps
Practice writing and executing MaxCompute SQL queries to improve your data analysis skills and understanding of the language.
Browse courses on
SQL Queries
Show steps
Show steps
Show steps
- Find a collection of practice problems or exercises.
- Attempt to solve the problems on your own.
- Compare your solutions to the provided answers.
Develop a Data Pipelining Solution
Show steps
Create a practical solution using MaxCompute and E-MapReduce to process and transform large datasets, gaining experience in data pipelining.
Show steps
Show steps
Show steps
- Identify a real-world data pipelining problem.
- Design a solution using MaxCompute and E-MapReduce.
- Implement the solution and test its functionality.
Build a Data Analysis Dashboard
Show steps
Create a comprehensive data analysis dashboard using Alibaba Cloud tools to gain practical experience in presenting insights from complex datasets.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a dataset and KPIs for analysis.
- Design the dashboard layout and visualizations.
- Implement the dashboard using Alibaba Cloud services.
Career center
Learners who complete Big Data Analytical Platform on Alibaba Cloud will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use statistical techniques and machine learning algorithms to extract insights from data. They work with data engineers and other stakeholders to understand the data needs of the organization and develop models to solve business problems. This course helps build a foundation in big data analytics, which is a growing field as more and more organizations collect large amounts of data. The course covers topics such as data mining, machine learning, and data visualization, which are all essential skills for Data Scientists.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain the infrastructure that stores and processes data. They work with data scientists and other stakeholders to understand the data needs of the organization and develop solutions to meet those needs. This course helps build a foundation in big data engineering, which is a growing field as more and more organizations collect large amounts of data. The course covers topics such as data storage, data processing, and data security, which are all essential skills for Data Engineers.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. They work with data scientists and other stakeholders to understand the business problems that need to be solved and develop models to solve those problems. This course helps build a foundation in big data analytics, which is a growing field as more and more organizations collect large amounts of data. The course covers topics such as machine learning, data mining, and data visualization, which are all essential skills for Machine Learning Engineers.
Data Architect
Data Architect
Data Architects design the architecture of data systems. They work with stakeholders to understand the data needs of the organization and develop solutions to meet those needs. This course provides a foundation in big data analysis and engineering, which are growing fields as more and more organizations collect large amounts of data. The course covers topics such as data storage, data processing, and data visualization, which are all essential skills for Data Architects who work with big data.
Data Analyst
Data Analyst
Data Analysts examine and interpret data to help organizations make informed decisions. They use statistical techniques and data visualization tools to spot trends and patterns in data, which can be used to improve business processes, increase efficiency, and boost revenue. This course helps build a foundation in big data analysis, which is a growing field as more and more organizations collect large amounts of data. The course covers topics such as data warehousing, data mining, and machine learning, which are all essential skills for Data Analysts.
Business Analyst
Business Analyst
Business Analysts work with stakeholders to understand the business needs of an organization and develop solutions to meet those needs. They use data analysis techniques to identify opportunities for improvement and develop recommendations for change. This course provides a foundation in big data analysis, which is a growing field as more and more organizations collect large amounts of data. The course covers topics such as data mining, machine learning, and data visualization, which are all essential skills for Business Analysts who work with big data.
Database Administrator
Database Administrator
Database Administrators design, build, and maintain databases. They work with stakeholders to understand the data needs of the organization and develop solutions to meet those needs. This course provides a foundation in big data storage and processing, which are growing fields as more and more organizations collect large amounts of data. The course covers topics such as data storage, data processing, and data security, which are all essential skills for Database Administrators who work with big data.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with stakeholders to understand the requirements of the application and develop solutions to meet those requirements. This course provides a foundation in big data analysis and engineering, which are growing fields as more and more organizations collect large amounts of data. The course covers topics such as data storage, data processing, and data visualization, which are all essential skills for Software Engineers who work with big data.
Product Manager
Product Manager
Product Managers work with stakeholders to define the vision and roadmap for a product. They work with engineers and other stakeholders to develop and launch the product and ensure that it meets the needs of users. This course may be useful for Product Managers who want to learn more about big data analysis, which is a growing field as more and more organizations collect large amounts of data. The course covers topics such as data mining, machine learning, and data visualization, which can be helpful for Product Managers who want to understand how data can be used to improve products and services.
Marketing Manager
Marketing Manager
Marketing Managers work with stakeholders to develop and execute marketing campaigns. They use data analysis techniques to track the success of marketing campaigns and identify opportunities for improvement. This course may be useful for Marketing Managers who want to learn more about big data analysis, which is a growing field as more and more organizations collect large amounts of data. The course covers topics such as data mining, machine learning, and data visualization, which can be helpful for Marketing Managers who want to understand how data can be used to improve marketing campaigns.
Financial Analyst
Financial Analyst
Financial Analysts work with stakeholders to analyze financial data and make recommendations for investment. They use data analysis techniques to identify trends and opportunities in the financial markets. This course may be useful for Financial Analysts who want to learn more about big data analysis, which is a growing field as more and more organizations collect large amounts of data. The course covers topics such as data mining, machine learning, and data visualization, which can be helpful for Financial Analysts who want to understand how data can be used to improve investment decisions.
Sales Manager
Sales Manager
Sales Managers work with stakeholders to develop and execute sales strategies. They use data analysis techniques to track the success of sales campaigns and identify opportunities for improvement. This course may be useful for Sales Managers who want to learn more about big data analysis, which is a growing field as more and more organizations collect large amounts of data. The course covers topics such as data mining, machine learning, and data visualization, which can be helpful for Sales Managers who want to understand how data can be used to improve sales strategies.
Operations Manager
Operations Manager
Operations Managers work with stakeholders to develop and execute operations strategies. They use data analysis techniques to track the success of operations and identify opportunities for improvement. This course may be useful for Operations Managers who want to learn more about big data analysis, which is a growing field as more and more organizations collect large amounts of data. The course covers topics such as data mining, machine learning, and data visualization, which can be helpful for Operations Managers who want to understand how data can be used to improve operations.
Risk Manager
Risk Manager
Risk Managers work with stakeholders to identify and assess risks. They use data analysis techniques to identify trends and opportunities in the risk landscape. This course may be useful for Risk Managers who want to learn more about big data analysis, which is a growing field as more and more organizations collect large amounts of data. The course covers topics such as data mining, machine learning, and data visualization, which can be helpful for Risk Managers who want to understand how data can be used to improve risk management.
Quality Assurance Manager
Quality Assurance Manager
Quality Assurance Managers work with stakeholders to develop and execute quality assurance strategies. They use data analysis techniques to track the success of quality assurance initiatives and identify opportunities for improvement. This course may be useful for Quality Assurance Managers who want to learn more about big data analysis, which is a growing field as more and more organizations collect large amounts of data. The course covers topics such as data mining, machine learning, and data visualization, which can be helpful for Quality Assurance Managers who want to understand how data can be used to improve quality assurance.
For more career information including salaries, visit:
OpenCourser.com/course/q8crjw/big
Reading list
We've selected eight 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
Big Data Analytical Platform on Alibaba Cloud .
Provides a comprehensive overview of Hadoop, including its architecture, components, and use cases. It valuable resource for anyone who wants to learn more about Hadoop and how to use it effectively.
Save
Provides a comprehensive overview of machine learning with big data. It covers a wide range of topics, including data mining, machine learning algorithms, and deep learning. It valuable resource for anyone who wants to learn more about machine learning and how to use it to solve real-world problems.
Provides a comprehensive overview of deep learning with Python. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone who wants to learn more about deep learning and how to use it to solve real-world problems.
Provides a comprehensive overview of big data security. It covers a wide range of topics, including data security, data privacy, and data governance. It valuable resource for anyone who wants to learn more about big data security and how to protect big data from threats.
Provides a comprehensive overview of data science for business. It covers a wide range of topics, including data mining, machine learning, and data visualization. It valuable resource for anyone who wants to learn more about data science and how to use it to solve real-world business problems.
Provides a comprehensive overview of big data analytics. It covers a wide range of topics, including data mining, machine learning, and data visualization. It valuable resource for anyone who wants to learn more about big data analytics and how to use it to solve real-world problems.
Save
Provides a practical guide to using Hadoop for big data analytics. It covers a wide range of topics, including data ingestion, data processing, and data visualization. It valuable resource for anyone who wants to learn how to use Hadoop to solve real-world problems.
Provides a comprehensive overview of data management for big data. It covers a wide range of topics, including data storage, data processing, and data analysis. It valuable resource for anyone who wants to learn more about data management for big data and how to manage big data effectively.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/q8crjw/big
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Effort
7 hours to complete
Level
Intermediate
Via
Coursera
Institution
Alibaba Cloud Academy
Instructor
Derek Meng
Language
English
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This course belongs to a
collection
called
Alibaba Cloud Computing. It's comprised of three courses:
- Big Data Analytical Platform on Alibaba Cloud (viewing)
- Protecting Cloud Architecture with Alibaba Cloud
- Cloud Computing Fundamentals on Alibaba Cloud
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