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Jeremy Pedersen
The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data.
Read more
The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data.
Read more
The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data.
This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards.
Work through our course material, learn different aspects of the Big Data field, and get certified as a Big Data Professional!
Register for this course and see more details by visiting:
OpenCourser.com/course/z3ytx8/big
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What's inside
Syllabus
Python Structured Data Processing Quick Start
SQL for Beginners - Basic Queries
How to Use Spark on Cloud Series 2 - Spark Python
Read more
Syllabus
Python Structured Data Processing Quick Start
SQL for Beginners - Basic Queries
How to Use Spark on Cloud Series 2 - Spark Python
Read more
Get a light-weight certification and test your knowledge with an evaluation here: https://edu.alibabacloud.com/clouder/exam/intro/428
Alibaba Cloud Big Data Quickstart Series: Data Integration
Alibaba Cloud MaxCompute - Data Transmission
Get a light-weight certification and test your knowledge with an evaluation here: https://edu.alibabacloud.com/clouder/exam/intro/430
Analyze Log Data with Alibaba Cloud Big Data Platform
Data Development with DataWorks and MaxCompute
Using Hive and Hadoop on E-MapReduce
Get a light-weight certification and test your knowledge with an evaluation here: https://edu.alibabacloud.com/clouder/exam/intro/431
Using Spark on E-MapReduce
Quickly Generate Business Intelligence Diagrams With QuickBI
Get a light-weight certification and test your knowledge with an evaluation here: https://edu.alibabacloud.com/clouder/exam/intro/429
Quickly Generate Large Dashboards For Data Visualization
Data Visualization Using Python
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills and knowledge in data processing, data transmission, data analysis, and data visualization, which are core competencies for data professionals
Teaches fundamental tools and techniques used by architects, engineers, and analytics professionals in the Big Data field
Includes hands-on labs and interactive materials, allowing learners to apply their knowledge and develop practical skills
Covers a comprehensive range of topics in the Big Data field, including data processing, data transmission, data analysis, and data visualization
Examines industry-standard tools and technologies, such as Python, SQL, Hadoop, and Spark, which are highly relevant to the Big Data field
Taught by Jeremy Pedersen, an experienced instructor in the Big Data field
Save this course
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Reviews summary
Introductory course on big data analysis
According to students, this big data analysis course is a nice, very good course. The course is for beginners and offers a comprehensive overview of Alibaba cloud Maxcompute. You have to purchase an ECS instance to practice. Presenters speak slowly.
Introductory level course on big data analysis.
"The course is quite simple and lack of learning resource."
"All you get in this course is the overview of Alibaba cloud Maxcompute."
"You need to purchase an ECS instance and practice yourself."
Presenters speak slowly.
"The presenters in the videos spoke quite slow,"
"seem they just read the document."
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 Analysis Deep Dive with these
activities:
Join a study group
Show steps
Connect with other students taking the course to form study groups for discussions, problem-solving, and knowledge sharing.
Browse courses on
Collaborative Learning
Show steps
-
Find or create a study group online or in your local area
-
Meet regularly to discuss course material
-
Collaborate on projects or assignments
Compile a resource list
Show steps
Gather and organize useful resources, such as tutorials, articles, documentation, and tools, related to the course topics.
Show steps
-
Search for relevant resources online
-
Create a central repository or document to store the resources
-
Share the resource list with other students
Brush up on Python
Show steps
Review the basics of Python to refresh your memory and ensure you have a solid foundation before starting the course.
Browse courses on
Python
Show steps
-
Review Python syntax and data types
-
Practice writing simple Python programs
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Read 'Big Data for Dummies' by Judith Hurwitz
Show steps
Enhance your understanding of Big Data concepts and technologies by reading this introductory book.
View
Cloud Computing For Dummies
on Amazon
Show steps
-
Read the chapters on data processing, data analysis, and data visualization
Solve SQL practice problems
Show steps
Practice writing and executing SQL queries to improve your proficiency in data manipulation and retrieval.
Browse courses on
SQL
Show steps
-
Find online SQL practice problems or quizzes
-
Attempt to solve the problems on your own
-
Review your answers and identify areas for improvement
Explore Hands On Hadoop Tutorial
Show steps
Understand Hadoop basics and its ecosystem.
Browse courses on
Hadoop
Show steps
-
Visit the website: https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/Tutorials/tutorial/
-
Follow the step-by-step guide to set up your Hadoop environment.
-
Run the sample Hadoop jobs provided in the tutorial.
Practice SQL Queries
Show steps
Strengthen your SQL skills by completing exercises that cover basic queries and data manipulation.
Browse courses on
SQL
Show steps
-
Review the basics of SQL syntax
-
Complete the SQL Queries exercises
Complete Spark on E-MapReduce tutorial
Show steps
Follow a guided tutorial on Spark on E-MapReduce to gain hands-on experience with the platform.
Browse courses on
Spark
Show steps
-
Set up your E-MapReduce environment
-
Install Spark on E-MapReduce
-
Write a Spark program to process Big Data
Practice Data Processing with Python
Show steps
Reinforce your understanding of data processing techniques by completing coding exercises in Python.
Browse courses on
Data Processing
Show steps
-
Set up a Python development environment
-
Complete the Data Processing with Python exercises
Learn About Data Transmission with MaxCompute
Show steps
Expand your knowledge of data transmission techniques by following tutorials that demonstrate how to use MaxCompute.
Browse courses on
Data Transmission
Show steps
-
Read the MaxCompute documentation
-
Follow the Data Transmission with MaxCompute tutorials
Learn About Data Analysis with Quick BI
Show steps
Enhance your data analysis skills by following tutorials that introduce you to the capabilities of Quick BI.
Browse courses on
Data Analysis
Show steps
-
Explore the Quick BI documentation
-
Follow the Data Analysis with Quick BI tutorials
Build a data dashboard
Show steps
Create a data dashboard to showcase your understanding of data visualization and presentation techniques.
Browse courses on
Data Visualization
Show steps
-
Identify a dataset and relevant metrics
-
Design the layout and structure of the dashboard
-
Use a data visualization tool to create interactive visualizations
-
Share and present your dashboard to others
Build a Data Pipeline with Hive, Hadoop, and Spark
Show steps
Apply your knowledge by building a real-world data pipeline that utilizes Hive, Hadoop, and Spark technologies.
Browse courses on
Data Pipeline
Show steps
-
Gather the necessary data
-
Design the data pipeline architecture
-
Implement the pipeline using Hive, Hadoop, and Spark
Create Data Visualizations with Data Dashboards
Show steps
Develop your data visualization skills by creating interactive data dashboards that communicate insights effectively.
Browse courses on
Data Visualization
Show steps
-
Choose a data visualization tool
-
Design and create the data dashboards
Contribute to an Open Source Big Data Project
Show steps
Gain practical experience and contribute to the Big Data community by participating in an open source project.
Browse courses on
Open Source
Show steps
-
Find a suitable open source project
-
Contribute to the project's codebase, documentation, or community
Join a study group
Show steps
Connect with other students taking the course to form study groups for discussions, problem-solving, and knowledge sharing.
Browse courses on
Collaborative Learning
Show steps
Show steps
Show steps
- Find or create a study group online or in your local area
- Meet regularly to discuss course material
- Collaborate on projects or assignments
Compile a resource list
Show steps
Gather and organize useful resources, such as tutorials, articles, documentation, and tools, related to the course topics.
Show steps
Show steps
Show steps
- Search for relevant resources online
- Create a central repository or document to store the resources
- Share the resource list with other students
Brush up on Python
Show steps
Review the basics of Python to refresh your memory and ensure you have a solid foundation before starting the course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review Python syntax and data types
- Practice writing simple Python programs
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Read 'Big Data for Dummies' by Judith Hurwitz
Show steps
Enhance your understanding of Big Data concepts and technologies by reading this introductory book.
View
Cloud Computing For Dummies
on Amazon
Show steps
Show steps
Show steps
- Read the chapters on data processing, data analysis, and data visualization
Solve SQL practice problems
Show steps
Practice writing and executing SQL queries to improve your proficiency in data manipulation and retrieval.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find online SQL practice problems or quizzes
- Attempt to solve the problems on your own
- Review your answers and identify areas for improvement
Explore Hands On Hadoop Tutorial
Show steps
Understand Hadoop basics and its ecosystem.
Browse courses on
Hadoop
Show steps
Show steps
Show steps
- Visit the website: https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/Tutorials/tutorial/
- Follow the step-by-step guide to set up your Hadoop environment.
- Run the sample Hadoop jobs provided in the tutorial.
Practice SQL Queries
Show steps
Strengthen your SQL skills by completing exercises that cover basic queries and data manipulation.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review the basics of SQL syntax
- Complete the SQL Queries exercises
Complete Spark on E-MapReduce tutorial
Show steps
Follow a guided tutorial on Spark on E-MapReduce to gain hands-on experience with the platform.
Browse courses on
Spark
Show steps
Show steps
Show steps
- Set up your E-MapReduce environment
- Install Spark on E-MapReduce
- Write a Spark program to process Big Data
Practice Data Processing with Python
Show steps
Reinforce your understanding of data processing techniques by completing coding exercises in Python.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Set up a Python development environment
- Complete the Data Processing with Python exercises
Learn About Data Transmission with MaxCompute
Show steps
Expand your knowledge of data transmission techniques by following tutorials that demonstrate how to use MaxCompute.
Browse courses on
Data Transmission
Show steps
Show steps
Show steps
- Read the MaxCompute documentation
- Follow the Data Transmission with MaxCompute tutorials
Learn About Data Analysis with Quick BI
Show steps
Enhance your data analysis skills by following tutorials that introduce you to the capabilities of Quick BI.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Explore the Quick BI documentation
- Follow the Data Analysis with Quick BI tutorials
Build a data dashboard
Show steps
Create a data dashboard to showcase your understanding of data visualization and presentation techniques.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a dataset and relevant metrics
- Design the layout and structure of the dashboard
- Use a data visualization tool to create interactive visualizations
- Share and present your dashboard to others
Build a Data Pipeline with Hive, Hadoop, and Spark
Show steps
Apply your knowledge by building a real-world data pipeline that utilizes Hive, Hadoop, and Spark technologies.
Browse courses on
Data Pipeline
Show steps
Show steps
Show steps
- Gather the necessary data
- Design the data pipeline architecture
- Implement the pipeline using Hive, Hadoop, and Spark
Create Data Visualizations with Data Dashboards
Show steps
Develop your data visualization skills by creating interactive data dashboards that communicate insights effectively.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a data visualization tool
- Design and create the data dashboards
Contribute to an Open Source Big Data Project
Show steps
Gain practical experience and contribute to the Big Data community by participating in an open source project.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Find a suitable open source project
- Contribute to the project's codebase, documentation, or community
Career center
Learners who complete Big Data Analysis Deep Dive will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure for big data processing. They work with a variety of technologies, including Apache Hadoop, Apache Hive, Apache Spark, and Apache Kafka. This course covers all of these technologies in detail. It also teaches how to use Alibaba Cloud's Elastic MapReduce (EMR), a managed Hadoop service. With this course, you can build a strong foundation for a career as a Data Engineer.
Data Analyst
Data Analyst
Data Analysts use SQL and Python to uncover insights from structured data. These insights can be used to make better decisions and improve business outcomes. This course covers both SQL and Python in detail. It also teaches how to use Apache Spark, a popular big data processing tool. With this course, you can build a strong foundation for a career as a Data Analyst.
Data Scientist
Data Scientist
Data Scientists use a variety of techniques to extract insights from data. These techniques include machine learning, artificial intelligence, and statistical analysis. This course covers the basics of these techniques. It also teaches how to use Apache Spark, a popular big data processing tool. With this course, you can build a strong foundation for a career as a Data Scientist.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. These models can be used to make predictions, recommendations, and decisions. This course covers the basics of machine learning. It also teaches how to use Apache Spark, a popular big data processing tool. With this course, you can build a strong foundation for a career as a Machine Learning Engineer.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies. This course covers the basics of Python and SQL, two popular programming languages for big data processing. With this course, you can build a strong foundation for a career as a Software Engineer.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. They ensure that databases are available, secure, and performant. This course covers the basics of SQL, a popular database query language. It also teaches how to use Alibaba Cloud's MaxCompute, a managed database service. With this course, you can build a strong foundation for a career as a Database Administrator.
Business Analyst
Business Analyst
Business Analysts use data to understand and improve business processes. They work with a variety of stakeholders to identify and solve business problems. This course covers the basics of data analysis. It also teaches how to use Quick BI, a popular business intelligence tool. With this course, you can build a strong foundation for a career as a Business Analyst.
Data Architect
Data Architect
Data Architects design and build data architectures. They work with a variety of stakeholders to identify and meet data needs. This course covers the basics of data architecture. It also teaches how to use Alibaba Cloud's DataWorks, a managed data integration service. With this course, you can build a strong foundation for a career as a Data Architect.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data. These visualizations can be used to communicate insights and make better decisions. This course covers the basics of data visualization. It also teaches how to use Quick BI, a popular business intelligence tool. With this course, you can build a strong foundation for a career as a Data Visualization Specialist.
Big Data Consultant
Big Data Consultant
Big Data Consultants help organizations implement and use big data technologies. They work with a variety of stakeholders to identify and solve big data challenges. This course covers the basics of big data. It also teaches how to use Alibaba Cloud's big data platform. With this course, you can build a strong foundation for a career as a Big Data Consultant.
Cloud Architect
Cloud Architect
Cloud Architects design and build cloud-based solutions. They work with a variety of stakeholders to identify and meet cloud needs. This course covers the basics of cloud computing. It also teaches how to use Alibaba Cloud's cloud platform. With this course, you can build a strong foundation for a career as a Cloud Architect.
IT Manager
IT Manager
IT Managers plan and manage the IT infrastructure of an organization. They work with a variety of stakeholders to identify and meet IT needs. This course covers the basics of IT management. It also teaches how to use Alibaba Cloud's cloud platform. With this course, you can build a strong foundation for a career as an IT Manager.
Project Manager
Project Manager
Project Managers plan and manage projects. They work with a variety of stakeholders to identify and meet project goals. This course covers the basics of project management. It also teaches how to use Alibaba Cloud's cloud platform. With this course, you can build a strong foundation for a career as a Project Manager.
Data Warehouse Engineer
Data Warehouse Engineer
Data Warehouse Engineers design and build data warehouses. They work with a variety of stakeholders to identify and meet data warehousing needs. This course covers the basics of data warehousing. It also teaches how to use Alibaba Cloud's data warehousing platform. With this course, you can build a strong foundation for a career as a Data Warehouse Engineer.
Data Security Analyst
Data Security Analyst
Data Security Analysts protect the data of an organization. They work with a variety of stakeholders to identify and mitigate data security risks. This course covers the basics of data security. It also teaches how to use Alibaba Cloud's data security platform. With this course, you can build a strong foundation for a career as a Data Security Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/z3ytx8/big
Reading list
We've selected 11 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 Analysis Deep Dive.
Save
Provides a comprehensive overview of Spark, covering its core concepts, programming model, and use cases. It valuable resource for anyone looking to learn more about Spark and how to use it effectively.
Comprehensive guide to Hadoop, covering its architecture, components, and programming model. It valuable resource for anyone looking to learn more about Hadoop and how to use it effectively.
Provides a comprehensive guide to big data analytics with Java, covering a wide range of topics, including data processing, data analysis, and data visualization. It valuable resource for anyone looking to use Java for big data analytics.
Provides a comprehensive guide to data science with Python, covering a wide range of topics, including data cleaning, data analysis, and data visualization. It valuable resource for anyone looking to use Python for data science.
Provides a comprehensive guide to text processing with MapReduce, covering a wide range of topics, including text tokenization, stemming, and lemmatization. It valuable resource for anyone looking to use MapReduce for text processing.
Provides a comprehensive guide to deep learning with Python, covering a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone looking to use Python for deep learning.
Provides a comprehensive guide to data analysis with Python, covering a wide range of topics, including data cleaning, data analysis, and data visualization. It valuable resource for anyone looking to use Python for data analysis.
Provides a comprehensive guide to machine learning with Scikit-Learn, Keras, and TensorFlow, covering a wide range of topics, including supervised learning, unsupervised learning, and deep learning. It valuable resource for anyone looking to use these libraries for machine learning.
Save
Provides a comprehensive guide to designing data-intensive applications, covering a wide range of topics, including data modeling, data storage, and data processing. It valuable resource for anyone looking to design and build data-intensive applications.
Provides a collection of case studies from 45 companies that have successfully used big data to achieve business success. It valuable resource for anyone looking to learn how to use big data to drive business value.
Save
Provides a comprehensive overview of big data, covering its concepts, technologies, and use cases. It valuable resource for anyone looking to learn more about big data and how it is transforming the world.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/z3ytx8/big
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Effort
6 weeks of study, 5 hours a week
Level
Intermediate
Via
Coursera
Institution
Alibaba Cloud Academy
Instructor
Jeremy Pedersen
Language
English
Transcripts
Español
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Deutsch
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中文
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Good to know
Develops skills and knowledge in data processing, data transmission, data analysis, and data visualization, which are core competencies for data professionals
Teaches fundamental tools and techniques used by architects, engineers, and analytics professionals in the Big Data field
Includes hands-on labs and interactive materials, allowing learners to apply their knowledge and develop practical skills
Covers a comprehensive range of topics in the Big Data field, including data processing, data transmission, data analysis, and data visualization
Examines industry-standard tools and technologies, such as Python, SQL, Hadoop, and Spark, which are highly relevant to the Big Data field
Taught by Jeremy Pedersen, an experienced instructor in the Big Data field
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