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Karthik Ramasamy
and
Lewis Kaneshiro
The world is trending in real time! Learn Apache Storm online at Udacity, taught by Twitter, to analyze real-time tweets and drive d3 visualizations at scale.
Register for this course and see more details by visiting:
OpenCourser.com/course/jpmssb/udacity
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What's inside
Syllabus
Lesson 1 - Theory, Setup and Basic Storm
Lesson 2 - Storm with Twitter Streams
Lesson 3 - Beyond Storm Basics
Lesson 4 - Storm Project and Hackathon
Read more
Syllabus
Lesson 1 - Theory, Setup and Basic Storm
Lesson 2 - Storm with Twitter Streams
Lesson 3 - Beyond Storm Basics
Lesson 4 - Storm Project and Hackathon
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Teaches Storm, a real-time stream processing system, which is a standard in big data and real-time analysis software
Taught by Twitter engineers, who are recognized for their work in real-time big data analysis and processing
Examines Twitter, which is a highly relevant dataset for big data and real-time analysis
Develops skills in real-time data processing, which are core in big data and real-time analysis software
Offers hands-on labs, which allow learners to practice using Apache Storm
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Reviews summary
Introduction to real-time analytics with apache storm
According to students, this course provides a solid foundation in Apache Storm for real-time analytics. Many learners found the lectures clear and the practical exercises, particularly the Twitter stream project, highly valuable for applying concepts. While largely positive, some reviews indicate potential setup challenges and note that the course assumes some prerequisite knowledge in Java and Linux. More recent feedback suggests that while the concepts remain relevant, the technology landscape has evolved, making Storm one of several tools for real-time processing, though the course offers a good historical perspective.
Storm is one of several real-time processing options.
"While useful, Storm isn't as widely used now compared to Flink or Spark Streaming for new projects."
"The course is still relevant for understanding fundamental real-time concepts, but the tech itself feels less current."
"It's a good historical perspective on real-time systems using Storm, but learners should be aware of other tools."
Hands-on experience with the Twitter stream project.
"The Twitter project was a great way to apply what I learned throughout the lectures. Very practical."
"Really enjoyed the hands-on labs and the final project. Working with real-time Twitter data was engaging."
"The practical parts of the course, especially the main project, were the most valuable for me."
Provides a strong introduction to Storm concepts.
"This course gave me a solid foundation for understanding the core concepts of Apache Storm."
"Excellent intro to real-time processing with Storm. It really helped clarify how spouts and bolts work."
"I feel much more confident in my ability to understand and potentially work with Storm after this course."
Can be difficult to set up and requires prior knowledge.
"The setup process was a bit tricky and required a good understanding of Linux environments."
"I found that the course assumes significant prior knowledge in Java and distributed systems, which made setup hard."
"Getting the development environment configured correctly was a hurdle for some learners."
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 Real-Time Analytics with Apache Storm with these
activities:
Apache Storm Overview
Show steps
Review basic concepts and architectures of Apache Storm to strengthen foundation for the course.
Browse courses on
Apache Storm
Show steps
-
Read the Apache Storm documentation
-
Watch introductory videos on YouTube
-
Complete a basic Apache Storm tutorial
Twitter Tweet Processing
Show steps
Practice processing and analyzing real-time Twitter data using Apache Storm.
Browse courses on
Real-Time Analytics
Show steps
-
Set up a Twitter API account
-
Write a Storm topology to process tweets
-
Deploy the topology on a Storm cluster
-
Analyze the processed data
Show all two activities
Apache Storm Overview
Show steps
Review basic concepts and architectures of Apache Storm to strengthen foundation for the course.
Browse courses on
Apache Storm
Show steps
Show steps
Show steps
- Read the Apache Storm documentation
- Watch introductory videos on YouTube
- Complete a basic Apache Storm tutorial
Twitter Tweet Processing
Show steps
Practice processing and analyzing real-time Twitter data using Apache Storm.
Browse courses on
Real-Time Analytics
Show steps
Show steps
Show steps
- Set up a Twitter API account
- Write a Storm topology to process tweets
- Deploy the topology on a Storm cluster
- Analyze the processed data
Show all two activities
Career center
Learners who complete Real-Time Analytics with Apache Storm will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
The Data Analyst is responsible for extracting, interpreting, and presenting data to stakeholders. They use their skills in statistics, programming, and visualization to help businesses make informed decisions. The Real-Time Analytics with Apache Storm course by Udacity can help you develop the skills needed for this role. You'll learn how to analyze real-time data and create visualizations that can be used to track trends and identify patterns. This course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Data Scientist
Data Scientist
You will learn how to analyze real-time data and create visualizations that can be used to track trends and identify patterns. This course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.The Data Scientist is responsible for developing and implementing data-driven solutions to business problems. They use their skills in statistics, machine learning, and programming to create models that can predict future outcomes. The Real-Time Analytics with Apache Storm course by Udacity can help you develop the skills needed for this role.
Software Engineer
Software Engineer
The Software Engineer is responsible for designing, developing, and maintaining software applications. They use their skills in programming, computer science, and software engineering to create solutions that meet the needs of users. The Real-Time Analytics with Apache Storm course by Udacity can help you develop the skills needed for this role. You'll learn how to use Apache Storm to build real-time data processing applications. This course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Data Engineer
Data Engineer
The Data Engineer is responsible for building and maintaining the infrastructure that stores and processes data. They use their skills in databases, big data, and cloud computing to ensure that data is available and accessible to users. The Real-Time Analytics with Apache Storm course by Udacity can help you develop the skills needed for this role. You'll learn how to use Apache Storm to build real-time data processing pipelines. This course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Business Analyst
Business Analyst
The Business Analyst is responsible for understanding the needs of businesses and translating them into technical requirements. They use their skills in business analysis, requirements gathering, and project management to ensure that software applications meet the needs of users. The Real-Time Analytics with Apache Storm course by Udacity can help you develop the skills needed for this role. You'll learn how to use Apache Storm to build real-time data processing applications. This course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Product Manager
Product Manager
The Product Manager is responsible for developing and managing the product roadmap. They use their skills in product management, marketing, and strategy to ensure that products meet the needs of users. The Real-Time Analytics with Apache Storm course by Udacity can help you develop the skills needed for this role. You'll learn how to use Apache Storm to build real-time data processing applications. This course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Project Manager
Project Manager
The Project Manager is responsible for planning, executing, and closing projects. They use their skills in project management, communication, and leadership to ensure that projects are completed on time, within budget, and to the satisfaction of stakeholders. The Real-Time Analytics with Apache Storm course by Udacity can help you develop the skills needed for this role. You'll learn how to use Apache Storm to build real-time data processing applications. This course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Systems Analyst
Systems Analyst
You'll learn how to use Apache Storm to build real-time data processing applications. This course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.The Systems Analyst is responsible for analyzing and designing computer systems. They use their skills in systems analysis, design, and implementation to ensure that systems meet the needs of users. The Real-Time Analytics with Apache Storm course by Udacity can help you develop the skills needed for this role.
Database Administrator
Database Administrator
The Database Administrator is responsible for managing and maintaining databases. They use their skills in database administration, performance tuning, and security to ensure that databases are available and accessible to users. The Real-Time Analytics with Apache Storm course by Udacity can help you develop the skills needed for this role. You'll learn how to use Apache Storm to build real-time data processing applications. This course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Network Administrator
Network Administrator
The Network Administrator is responsible for managing and maintaining computer networks. They use their skills in network administration, routing, and switching to ensure that networks are available and accessible to users. The Real-Time Analytics with Apache Storm course by Udacity may be useful for this role. You'll learn how to use Apache Storm to build real-time data processing applications. This course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Information Security Analyst
Information Security Analyst
The Information Security Analyst is responsible for protecting computer systems and networks from unauthorized access. They use their skills in information security, risk assessment, and incident response to ensure that systems and networks are secure. The Real-Time Analytics with Apache Storm course by Udacity may be useful for this role. You'll learn how to use Apache Storm to build real-time data processing applications. This course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Computer Support Specialist
Computer Support Specialist
The Computer Support Specialist is responsible for providing technical support to users. They use their skills in computer hardware, software, and networking to troubleshoot and resolve technical issues. The Real-Time Analytics with Apache Storm course by Udacity may be useful for this role. You'll learn how to use Apache Storm to build real-time data processing applications. This course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Web Developer
Web Developer
The Web Developer is responsible for designing and developing websites. They use their skills in HTML, CSS, and JavaScript to create websites that are both visually appealing and functional. The Real-Time Analytics with Apache Storm course by Udacity may be useful for this role. You'll learn how to use Apache Storm to build real-time data processing applications. This course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Graphic Designer
Graphic Designer
The Graphic Designer is responsible for creating visual content. They use their skills in graphic design, typography, and color theory to create visual content that is both visually appealing and effective. The Real-Time Analytics with Apache Storm course by Udacity is unlikely to be useful for this role. It does not cover the skills needed to be a Graphic Designer, such as graphic design, typography, or color theory.
Writer
Writer
The Writer is responsible for creating written content. They use their skills in writing, grammar, and punctuation to create written content that is both clear and concise. The Real-Time Analytics with Apache Storm course by Udacity is unlikely to be useful for this role. It does not cover the skills needed to be a Writer, such as writing, grammar, or punctuation.
For more career information including salaries, visit:
OpenCourser.com/course/jpmssb/udacity
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
Real-Time Analytics with Apache Storm.
Practical guide to building and deploying real-time data analysis applications with Apache Storm. It is aimed at developers, architects, and system administrators.
Comprehensive guide to building and deploying real-time data analytics applications with Apache Spark. It is aimed at developers, architects, and data scientists.
Save
Practical guide to data mining techniques. It is aimed at professionals in the field of data science.
Comprehensive guide to web data mining techniques. It is aimed at professionals in the field of data science.
Save
Comprehensive guide to text mining techniques. It is aimed at professionals in the field of data science.
Comprehensive guide to natural language processing techniques. It is aimed at students, researchers, and practitioners in the field of natural language processing.
Comprehensive guide to artificial intelligence theory and its applications. It is aimed at students, researchers, and practitioners in the field of artificial intelligence.
Comprehensive guide to building and deploying deep learning applications with Python. It is aimed at developers, architects, and data scientists.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jpmssb/udacity
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