Big Data Analytical Platform on Alibaba Cloud from Coursera

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.

Hadoop on Alibaba Cloud

This module will dive deeper into the functions of Hadoop and particularly their applications through the Alibaba Cloud Platform. Courses will touch upon the uses of E-MapReduce, Hive, and Spark.

Big Data Product Overview

Get an overview of all of Alibaba Clouds Big Data products, their different architectures, and use scenarios.

MaxCompute Basic

MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing. MaxCompute supports various data importing solutions and distributed computing models, enabling users to effectively query massive datasets, reduce production costs, and ensure data security. Learn the basics of this products use in this module.

MaxCompute SQL

MaxCompute SQL is used for offline batch computing and computing scenarios that involve gigabytes, terabytes, or exabytes of data. MaxCompute is suitable for batch jobs that process large volumes of data. Learn more about the MaxCompute SQL language and uses in this module.

MaxCompute UDF

MaxCompute User-Defined Functions help users customize their data engine to produce useful results. Learn how to develop functions and apply them to MaxCompute in this module.

MaxCompute Security

By using symmetric AccessKey pairs, MaxCompute is designed to handle security issues in multi-tenant scenarios. MaxCompute Security measures help meet the requirements for multi-user collaboration, data sharing, data confidentiality, and data security. Learn more in the module.

Dataworks Basic

DataWorks is a Big Data platform product launched by Alibaba Cloud. It provides one-stop Big Data development, data permission management, and offline job scheduling. The process of acquisition, processing, and monitoring are all explained in this module.

Data Visualization

Displaying your data in a clear and concise way is the key final step to making your data work for you. This module explains different types of graphing methods as well as gives a demo to walk users through creating their first graphs.

PAI Overview

The Platform for Artificial Intelligence helps users design machine learning algorithms to read large sets of data while teaching itself how to be more accurate and useful. This module gives basic architectures of PAI while teaching PAI's best practices.

Good to know

Know what's good

, what to watch for

, 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

Reviews summary

Alibaba cloud big data course

Learners say this course provides good content about big data platforms and the Alibaba Cloud. Students mention that this course is easy to learn and understand, while also acknowledging missing videos and content occasionally lacking up-to-date.

The course is well organized with clear structure.

"It’s easy to learn and understand for beginners. "

Course content is generally well received.

"Good"

"Nice content. "

"Awesome !!"

Some learners mention missing videos and outdated content.

"Videos missing."

"Content Not Quite Clear and Update to Date"

"No use on older versions with minimal practical videos"

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

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Review the common Linux commands and their usage to strengthen your understanding of the operating system used in the course.

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Create a list of commonly used Linux commands.
Practice using the commands in a Linux terminal.

Organize Alibaba Cloud Big Data Resources

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Create a central repository of useful links, articles, and tutorials related to Alibaba Cloud's Big Data platform for easy reference and future learning.

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Gather materials from various sources.
Organize and categorize the resources.

Join a Study Group for MaxCompute

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Connect with fellow learners in a study group to share knowledge, discuss concepts, and reinforce your understanding of MaxCompute.

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Find or create a study group focused on MaxCompute.
Attend study sessions regularly and actively participate.

Four other activities

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Explore Alibaba Cloud DataWorks Tutorials

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Follow interactive tutorials provided by Alibaba Cloud to gain hands-on experience with the DataWorks platform.

Browse courses on Data Integration

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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

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Practice writing and executing MaxCompute SQL queries to improve your data analysis skills and understanding of the language.

Browse courses on SQL Queries

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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

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Create a practical solution using MaxCompute and E-MapReduce to process and transform large datasets, gaining experience in data pipelining.

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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

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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

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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 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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning 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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Software Engineer

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.

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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.

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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.

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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.

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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.

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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.

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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.

See salaries and explore the career path for Marketing Manager