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Paul Rodriguez,
Andrea Zonca,
and
Natasha Balac, Ph.D.
This course is for novice programmers or business people who would like to understand the core tools used to wrangle and analyze big data. With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You'll feel empowered to have conversations about big data and the data analysis process.
Register for this course and see more details by visiting:
OpenCourser.com/course/eq0360/hadoop
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What's inside
Syllabus
Hadoop Basics
Welcome to the first module of the Big Data Platform course. This first module will provide insight into Big Data Hype, its technologies opportunities and challenges. We will take a deeper look into the Hadoop stack and tool and technologies associated with Big Data solutions.
Read more
Syllabus
Hadoop Basics
Welcome to the first module of the Big Data Platform course. This first module will provide insight into Big Data Hype, its technologies opportunities and challenges. We will take a deeper look into the Hadoop stack and tool and technologies associated with Big Data solutions.
Read more
Introduction to the Hadoop Stack
In this module we will take a detailed look at the Hadoop stack ranging from the basic HDFS components, to application execution frameworks, and languages, services.
Introduction to Hadoop Distributed File System (HDFS)
In this module we will take a detailed look at the Hadoop Distributed File System (HDFS). We will cover the main design goals of HDFS, understand the read/write process to HDFS, the main configuration parameters that can be tuned to control HDFS performance and robustness, and get an overview of the different ways you can access data on HDFS.
Introduction to Map/Reduce
This module will introduce Map/Reduce concepts and practice. You will learn about the big idea of Map/Reduce and you will learn how to design, implement, and execute tasks in the map/reduce framework. You will also learn the trade-offs in map/reduce and how that motivates other tools.
Spark
Welcome to module 5, Introduction to Spark, this week we will focus on the Apache Spark cluster computing framework, an important contender of Hadoop MapReduce in the Big Data Arena.
Spark provides great performance advantages over Hadoop MapReduce,especially for iterative algorithms, thanks to in-memory caching. Also, gives Data Scientists an easier way to write their analysis pipeline in Python and Scala,even providing interactive shells to play live with data.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Emphasizes the practical, using hands-on exercises to help you learn
Suitable for those new to programming or business who seek to understand big data tools
Provides a foundational understanding of Hadoop architecture, software stack, and execution environment
Incorporates a step-by-step approach to guide learners through data science concepts and techniques
Taught by experienced instructors who bring industry expertise to the course
Utilizes a multi-modal approach with videos, readings, and discussions to enhance learning
Save this course
Save Hadoop Platform and Application Framework to your list so you can find it easily later:
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Reviews summary
Mixed reviews for hadoop course
Learners say that this beginner Hadoop course provides a basic overview of the tools and concepts in the ecosystem. However, many learners found the course to be poorly delivered, with instructors simply reading from slides and not providing enough explanations or examples. The quizzes and programming assignments were also criticized for being unrelated to the video material and for requiring programming knowledge that was not disclosed upfront. On the positive side, some learners found the hands-on assignments to be fun and helpful.
Some learners found the hands-on assignments to be fun and helpful.
"The hands-on assignments were kind of fun."
Assignments require programming knowledge that is not disclosed upfront.
"The required assignments presume working knowledge of Python that was not disclosed prior to enrollment."
Lecturers read from slides and don't provide explanations.
"The Hadoop lectures were bullet points recited from Powerpoint slides."
"The Spark lectures were abysmal; none of the bullet points recited were explained or expounded upon."
"These people might be knowledgeable, but they teach this course in the worst way possible!! Reading everything from slides is not a good way to teach a concept."
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 Hadoop Platform and Application Framework with these
activities:
Review Basic Programming Concepts
Show steps
Refreshes foundational programming skills needed for Hadoop and Spark development.
Browse courses on
Programming Basics
Show steps
-
Review variables, data types, and control structures in Java or Python.
-
Practice writing simple programs to manipulate data.
Review 'Hadoop: The Definitive Guide' by Tom White
Show steps
Provides a solid foundational understanding of Hadoop, its architecture, and its applications.
View
Hadoop: The Definitive Guide: Storage and...
on Amazon
Show steps
-
Read chapters 1-4 to gain an overview of Hadoop and its ecosystem.
-
Work through the hands-on examples in chapters 5-7 to get practical experience with Hadoop.
Follow Apache Hadoop and Spark Documentation
Show steps
Provides access to comprehensive documentation and up-to-date information on Hadoop and Spark.
Browse courses on
Hadoop
Show steps
-
Review the Hadoop User Guide for an overview of Hadoop components and usage.
-
Explore the Spark Programming Guide to learn about Spark APIs and programming models.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a Hadoop and Spark Workshop
Show steps
Provides hands-on experience and expert guidance in working with Hadoop and Spark.
Browse courses on
Hadoop
Show steps
-
Identify a relevant workshop offered by reputable organizations or training providers.
-
Attend the workshop and actively participate in hands-on exercises.
Complete Hadoop and Spark Code Challenges
Show steps
Sharpens coding skills and deepens understanding of Hadoop and Spark concepts.
Browse courses on
Hadoop
Show steps
-
Solve at least 10 Hadoop code challenges on platforms like HackerRank or LeetCode.
-
Attempt 5 Spark code challenges to practice working with Spark RDDs and transformations.
Join a Hadoop and Spark Study Group
Show steps
Provides opportunities for collaboration, knowledge sharing, and reinforcement of concepts.
Browse courses on
Hadoop
Show steps
-
Search for online or local study groups dedicated to Hadoop and Spark.
-
Participate actively in discussions, ask questions, and share insights.
Write a Blog Post on Hadoop and Spark
Show steps
Solidifies understanding of Hadoop and Spark by articulating knowledge and sharing it with others.
Browse courses on
Hadoop
Show steps
-
Choose a specific topic related to Hadoop or Spark, such as data ingestion or machine learning.
-
Research and gather information from reliable sources.
-
Write a blog post that explains the topic clearly and provides examples.
Mentor Junior Hadoop and Spark Developers
Show steps
Deepens understanding by explaining concepts to others and supporting their learning journey.
Browse courses on
Hadoop
Show steps
-
Identify opportunities to mentor junior developers through online forums or local meetups.
-
Provide guidance on Hadoop and Spark concepts, coding practices, and project implementation.
-
Offer constructive feedback and support their development.
Review Basic Programming Concepts
Show steps
Refreshes foundational programming skills needed for Hadoop and Spark development.
Browse courses on
Programming Basics
Show steps
Show steps
Show steps
- Review variables, data types, and control structures in Java or Python.
- Practice writing simple programs to manipulate data.
Review 'Hadoop: The Definitive Guide' by Tom White
Show steps
Provides a solid foundational understanding of Hadoop, its architecture, and its applications.
View
Hadoop: The Definitive Guide: Storage and...
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-4 to gain an overview of Hadoop and its ecosystem.
- Work through the hands-on examples in chapters 5-7 to get practical experience with Hadoop.
Follow Apache Hadoop and Spark Documentation
Show steps
Provides access to comprehensive documentation and up-to-date information on Hadoop and Spark.
Browse courses on
Hadoop
Show steps
Show steps
Show steps
- Review the Hadoop User Guide for an overview of Hadoop components and usage.
- Explore the Spark Programming Guide to learn about Spark APIs and programming models.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a Hadoop and Spark Workshop
Show steps
Provides hands-on experience and expert guidance in working with Hadoop and Spark.
Browse courses on
Hadoop
Show steps
Show steps
Show steps
- Identify a relevant workshop offered by reputable organizations or training providers.
- Attend the workshop and actively participate in hands-on exercises.
Complete Hadoop and Spark Code Challenges
Show steps
Sharpens coding skills and deepens understanding of Hadoop and Spark concepts.
Browse courses on
Hadoop
Show steps
Show steps
Show steps
- Solve at least 10 Hadoop code challenges on platforms like HackerRank or LeetCode.
- Attempt 5 Spark code challenges to practice working with Spark RDDs and transformations.
Join a Hadoop and Spark Study Group
Show steps
Provides opportunities for collaboration, knowledge sharing, and reinforcement of concepts.
Browse courses on
Hadoop
Show steps
Show steps
Show steps
- Search for online or local study groups dedicated to Hadoop and Spark.
- Participate actively in discussions, ask questions, and share insights.
Write a Blog Post on Hadoop and Spark
Show steps
Solidifies understanding of Hadoop and Spark by articulating knowledge and sharing it with others.
Browse courses on
Hadoop
Show steps
Show steps
Show steps
- Choose a specific topic related to Hadoop or Spark, such as data ingestion or machine learning.
- Research and gather information from reliable sources.
- Write a blog post that explains the topic clearly and provides examples.
Mentor Junior Hadoop and Spark Developers
Show steps
Deepens understanding by explaining concepts to others and supporting their learning journey.
Browse courses on
Hadoop
Show steps
Show steps
Show steps
- Identify opportunities to mentor junior developers through online forums or local meetups.
- Provide guidance on Hadoop and Spark concepts, coding practices, and project implementation.
- Offer constructive feedback and support their development.
Career center
Learners who complete Hadoop Platform and Application Framework will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist is a highly specialized professional who uses data to solve complex business problems. They work with a variety of data sources and technologies to extract insights that can lead to better decision-making. Hadoop Platform and Application Framework can be a valuable asset for those seeking this role, by providing a foundation in managing and processing large data sets. Additionally, the course covers a range of tools and technologies that are commonly used by data scientists, including Hadoop, Spark, and Map/Reduce.
Data Engineer
Data Engineer
A Data Engineer is responsible for designing and building data pipelines that support data analysis. They work with a variety of data sources and technologies to ensure that data is available and accessible to those who need it. Hadoop Platform and Application Framework could be a valuable asset to someone seeking this role. The course provides a comprehensive overview of the Hadoop stack, as well as hands-on experience with Map/Reduce and Spark.
Big Data Architect
Big Data Architect
A Big Data Architect is responsible for designing and managing big data solutions. They work with a variety of big data technologies to create solutions that meet the needs of businesses. Taking a course like Hadoop Platform and Application Framework may be useful in preparing for this role, as it provides a strong foundation in managing and processing large data sets. The course covers a wide range of topics, including Hadoop Basics, Introduction to Hadoop Distributed File System (HDFS), and Introduction to Map/Reduce.
Data Warehouse Architect
Data Warehouse Architect
A Data Warehouse Architect is responsible for designing and managing data warehouses. They work with a variety of data warehousing technologies to create solutions that meet the needs of businesses. Hadoop Platform and Application Framework could be a valuable asset to someone seeking this role. The course provides a comprehensive overview of the Hadoop stack, as well as hands-on experience with Map/Reduce and Spark.
Data Visualization Analyst
Data Visualization Analyst
A Data Visualization Analyst is responsible for creating visual representations of data. They work with a variety of data sources and visualization tools to create visualizations that are clear, concise, and effective. Hadoop Platform and Application Framework could be a valuable resource for someone seeking this role. The course provides a strong foundation in data analysis and management, which are essential skills for Data Visualization Analysts who need to work with large data sets.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes and developing solutions to improve efficiency and effectiveness. They work with a variety of stakeholders to gather requirements, analyze data, and develop solutions. Hadoop Platform and Application Framework could be a valuable resource for someone seeking this role. The course provides a strong foundation in data analysis and management, which are essential skills for Business Analysts.
Technical Writer
Technical Writer
A Technical Writer is responsible for creating and maintaining technical documentation. They work with a variety of audiences to create documentation that is clear, concise, and accurate. Hadoop Platform and Application Framework could be a valuable asset to someone seeking this role. The course provides a strong foundation in data analysis and management, which are essential skills for Technical Writers who need to write about technical topics.
Project Manager
Project Manager
A Project Manager is responsible for planning, organizing, and executing projects. They work with a variety of stakeholders to ensure that projects are completed on time, within budget, and to the required quality standards. Hadoop Platform and Application Framework may be useful for those seeking this role, as it provides a foundation in managing and processing large data sets. The course also covers a range of project management topics, including project planning, execution, and control.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for designing and developing machine learning models. They work with a variety of machine learning algorithms and techniques to create models that can solve specific business problems. Hadoop Platform and Application Framework may be useful for those seeking this role, by providing a foundation in managing and processing large data sets. The course also covers a range of machine learning topics, including machine learning algorithms, techniques, and applications.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. Taking a course like Hadoop Platform and Application Framework may be beneficial for those seeking this role, by providing a strong foundation in managing and processing large data sets. The course also covers a range of software engineering topics, including software design, development, and testing.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. They work with a variety of database technologies to ensure that databases are available and accessible to those who need them. Taking a course like Hadoop Platform and Application Framework may be useful for those seeking this role, by providing a strong foundation in managing and processing large data sets. The course also covers a range of database administration topics, including database design, development, and management.
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst is responsible for testing software applications to ensure that they meet quality standards. They work with a variety of stakeholders to identify and fix defects. Hadoop Platform and Application Framework may be useful for those seeking this role, as it provides a foundation in managing and processing large data sets. The course also covers a range of quality assurance topics, including testing methodologies, techniques, and tools.
Data Analyst
Data Analyst
A Data Analyst plays an important role in data-driven decision-making. They are responsible for collecting and analyzing data, and presenting insights that can lead to better business outcomes. Taking a course like Hadoop Platform and Application Framework may be useful in preparing for this role by providing a strong foundation in managing and processing large data sets. The course covers a wide range of topics, including Hadoop Basics, Introduction to Hadoop Distributed File System (HDFS), and Introduction to Map/Reduce.
Information Security Analyst
Information Security Analyst
An Information Security Analyst is responsible for protecting information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with a variety of security technologies and techniques to ensure that information systems are secure. Hadoop Platform and Application Framework may be useful for those seeking this role, as it provides a foundation in managing and processing large data sets. The course also covers a range of security topics, including security assessment, risk management, and incident response.
Cloud Architect
Cloud Architect
A Cloud Architect is responsible for designing and managing cloud computing solutions. They work with a variety of cloud providers and technologies to create solutions that meet the needs of businesses. Hadoop Platform and Application Framework may be useful for those seeking this role, by providing a strong foundation in managing and processing large data sets. The course also covers a range of cloud computing topics, including cloud architecture, design, and management.
For more career information including salaries, visit:
OpenCourser.com/course/eq0360/hadoop
Reading list
We've selected 13 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
Hadoop Platform and Application Framework.
Provides a comprehensive overview of the Hadoop ecosystem, covering topics such as HDFS, MapReduce, and YARN. It valuable resource for anyone who wants to learn more about Hadoop and how to use it to solve big data problems.
Save
Provides a comprehensive introduction to Spark, covering topics such as Spark Core, Spark SQL, and Spark Streaming. It valuable resource for anyone who wants to learn more about Spark and how to use it to solve big data problems.
Provides a practical introduction to data science, covering topics such as 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 business problems.
Save
Provides a gentle introduction to Hadoop, covering topics such as HDFS, MapReduce, and YARN. It valuable resource for anyone who wants to learn more about Hadoop without getting bogged down in technical details.
Provides a gentle introduction to Spark, covering topics such as Spark Core, Spark SQL, and Spark Streaming. It valuable resource for anyone who wants to learn more about Spark without getting bogged down in technical details.
Provides a concise overview of big data, covering topics such as the history of big data, the different types of big data, and the challenges and opportunities of big data. It valuable resource for anyone who wants to learn more about big data and its implications for society.
Save
Provides a practical introduction to big data analytics, covering topics such as 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 make better decisions.
Provides a comprehensive overview of data analytics, covering topics such as data mining, machine learning, and data visualization. It valuable resource for anyone who wants to learn more about data analytics and how to use it to make better decisions.
Save
Provides a comprehensive guide to Hadoop operations, covering topics such as Hadoop security, Hadoop performance tuning, and Hadoop troubleshooting. It valuable resource for anyone who is responsible for managing a Hadoop cluster.
Save
Provides a practical introduction to Hadoop, covering topics such as installing Hadoop, configuring Hadoop, and running Hadoop jobs. It valuable resource for anyone who wants to learn more about Hadoop and how to use it to solve real-world problems.
Provides a comprehensive guide to Spark for machine learning, covering topics such as Spark MLlib, Spark ML, and Spark Streaming. It valuable resource for anyone who wants to learn more about Spark for machine learning and how to use it to build machine learning models.
Provides a comprehensive overview of Spark, covering topics such as Spark Core, Spark SQL, and Spark Streaming. It valuable resource for anyone who wants to learn more about Spark and how to use it to solve big data problems.
Save
Provides a comprehensive guide to Spark Streaming, covering topics such as Spark Streaming architecture, Spark Streaming programming, and Spark Streaming performance tuning. It valuable resource for anyone who wants to learn more about Spark Streaming and how to use it to build real-time data processing applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/eq0360/hadoop
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Effort
5 weeks of study, 1-2 hours/week
Via
Coursera
Institution
University of California San Diego
Instructors
Paul Rodriguez
Andrea Zonca
Natasha Balac, Ph.D.
Language
English
Transcripts
Español
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آذربایجان دیلی
Good to know
Emphasizes the practical, using hands-on exercises to help you learn
Suitable for those new to programming or business who seek to understand big data tools
Provides a foundational understanding of Hadoop architecture, software stack, and execution environment
Incorporates a step-by-step approach to guide learners through data science concepts and techniques
Taught by experienced instructors who bring industry expertise to the course
Utilizes a multi-modal approach with videos, readings, and discussions to enhance learning
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