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Big Data Analysis Deep Dive

4.6 Filled star Filled star Filled star Filled star Half star
Based on 33 ratings
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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.

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.

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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!

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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
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Traffic lights

Read about what's good
what should give you pause
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

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Reviews summary

Foundational big data analysis deep dive

According to students, this course provides a very useful and comprehensive introduction to Big Data analysis. Learners found it helped them understand essential elements and effectively utilize tools such as MaxCompute, Quick BI, Hive, Hadoop, and Spark. The inclusion of hands-on labs and practical demonstrations was particularly praised for making the learning process engaging and solidifying foundational skills in Python data processing and SQL queries. This course is considered valuable for anyone looking to get into big data.
Highly valuable for aspiring big data professionals.
"This course is definitely valuable for anyone looking to get into big data."
"I found it very useful for understanding big data's core elements."
"It provides a great starting point for a career in big data analysis."
Provides a solid base in Python and SQL for data processing.
"It also provided a good foundation for using Python in data processing and SQL for basic queries."
"I now have a solid understanding of basic SQL and Python for data handling."
"This course helped me build essential data analysis skills from the ground up."
Emphasizes hands-on labs and practical demonstrations.
"I really appreciate the hands-on labs and practical demonstrations; they made the learning process much more engaging."
"The practical elements were key to making the big data concepts clear for me."
"I found the demos made learning about complex tools much easier to grasp."
Covers essential tools and techniques for big data analysis.
"A very useful course to make me understand the essential elements of big data analysis and how to utilize them."
"I learned a lot about data integration, MaxCompute, Quick BI, Hive, Hadoop, and Spark."
"The course material is very comprehensive."

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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

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 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.
See salaries and explore the career path for Data Engineer
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.
See salaries and explore the career path for Data Analyst
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.
See salaries and explore the career path for Data Scientist
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.
See salaries and explore the career path for Machine Learning 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.
See salaries and explore the career path for Software Engineer
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.
See salaries and explore the career path for Database Administrator
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.
See salaries and explore the career path for Business Analyst
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.
See salaries and explore the career path for Data Architect
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.
See salaries and explore the career path for Data Visualization Specialist
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.
See salaries and explore the career path for Big Data Consultant
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.
See salaries and explore the career path for Cloud Architect
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.
See salaries and explore the career path for IT 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.
See salaries and explore the career path for Project Manager
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.
See salaries and explore the career path for Data Warehouse Engineer
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.
See salaries and explore the career path for Data Security Analyst

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.
Cover image
Learning Spark
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.
Learning Spark: Lightning-Fast Big Data Analysis
Paperback
$$
Cover image
Hadoop: The Definitive Guide
Save
Comprehensive guide to Hadoop, covering its architecture, components, and programming model. It valuable resource for anyone looking to learn more about Hadoop and how to use it effectively.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$
Cover image
Big Data Analytics with Java
Save
Provides a comprehensive guide to big data analytics with Java, covering a wide range of topics, including data processing, data analysis, and data visualization. It valuable resource for anyone looking to use Java for big data analytics.
Big Data Analytics with Java: Data analysis,...
Paperback
$$$
Big Data Analytics with Java: Data analysis,...
Kindle Edition
$$
Cover image
Python Data Science Handbook
Save
Provides a comprehensive guide to data science with Python, covering a wide range of topics, including data cleaning, data analysis, and data visualization. It valuable resource for anyone looking to use Python for data science.
Python Data Science Handbook: Essential Tools for...
Paperback
$$$
Cover image
Data-Intensive Text Processing with MapReduce
Save
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.
Data-Intensive Text Processing with MapReduce...
Paperback
$$
Cover image
Deep Learning with Python, Second Edition
Save
Provides a comprehensive guide to deep learning with Python, covering a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone looking to use Python for deep learning.
Deep Learning with Python, Second Edition
Paperback
$$
Deep Learning with Python, Second Edition
Kindle Edition
$$
Cover image
Python for Data Analysis
Save
Provides a comprehensive guide to data analysis with Python, covering a wide range of topics, including data cleaning, data analysis, and data visualization. It valuable resource for anyone looking to use Python for data analysis.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check
Cover image
Hands-On Machine Learning with Scikit-Learn, Keras,...
Save
Provides a comprehensive guide to machine learning with Scikit-Learn, Keras, and TensorFlow, covering a wide range of topics, including supervised learning, unsupervised learning, and deep learning. It valuable resource for anyone looking to use these libraries for machine learning.
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Kindle Edition
$$
Cover image
Secret Colors
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.
Secret Colors
Paperback
Check
Secret Colors
Kindle Edition
Check
Cover image
Artificial Intelligence in Practice
Save
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.
Generative AI in Practice: 100+ Amazing Ways...
Hardcover
$$
Artificial Intelligence in Practice: How 50...
Hardcover
$$
Cover image
Big Data
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.
Big Data: A Revolution That Will Transform How We...
Kindle Edition
$$
Learning With Big Data (Kindle Single): The Future...
Kindle Edition
$
(Italiano) Big data. Una rivoluzione che trasformerà il nostro...
Hardcover
$$
(Español) Big data: La revolución de los datos masivos...
Kindle Edition
$$
(Deutsch) Lernen mit Big Data: Die Zukunft der Bildung
Paperback
$$
(Deutsch) Big Data: Die Revolution, die unser Leben verändern...
Hardcover
$$
(Español) Aprender con big data
Paperback
$$
Learning with Big Data: The Future of...
Hardcover
$$

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Course image
Rating
4.6 Filled star Filled star Filled star Filled star Half star
Effort
14 hours to complete
Level
Intermediate
Via
Coursera
Institution
Alibaba Cloud Academy
Instructor
Jeremy Pedersen
Language
English
Transcripts
Español Français Português Deutsch Italiano 中文 العربية 한국어 日本語 हिंदी Nederlands Svenska Pусский Türkçe Polski Ελληνικά українська мова Bahasa Indonesia ไทย қазақша
Traffic lights
Read about what's good
what should give you pause
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
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