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Kobi Hikri
In this course, you'll develop an understanding for analytics capabilities, and you'll learn how to build a full-blown, wholistic, distributed analytics system using Kafka, Cassandra, Storm, and Elasticsearch.
Read more
In this course, you'll develop an understanding for analytics capabilities, and you'll learn how to build a full-blown, wholistic, distributed analytics system using Kafka, Cassandra, Storm, and Elasticsearch.
Read more
In this course, you'll develop an understanding for analytics capabilities, and you'll learn how to build a full-blown, wholistic, distributed analytics system using Kafka, Cassandra, Storm, and Elasticsearch.
In this course, Building an Enterprise Grade Distributed Online Analytics Platform, you'll learn how to build a full-blown distributed analytics system using Kafka, Cassandra, Storm, and Elasticsearch. First, you'll begin by understanding what is online analytics and how it differs from offline analytics. You'll further discuss and analyze the parts of a modern online analytics system, including the data backbone, storage, processing, and insight generation. Next, you'll develop an understanding of your choice of technology, its features, and why it was chosen for a specific task. Finally, you'll explore how to properly integrate the technology into your solution in a manner that's most beneficial. Each technology you use will be placed under an observant eye, and you'll see how each technology provides scalability, fault tolerance, and most importantly how it contributes in achieving the functionality you desire. By the end of this course, you'll be ready to immediately enrich your enterprise with amazing analytics capabilities.
This course is no longer available. Find something similar by browsing:
Apache Kafka
Apache Storm
Apache Cassandra
Elasticsearch
Distributed Analytics
Register for this course and see more details by visiting:
OpenCourser.com/course/qn1z08/building
What's inside
Syllabus
Course Overview
Introduction to Online BigData Analytics
Utilizing Apache Kafka as a Data Backbone
Introducing Distributed Computation with Apache Storm
Read more
Syllabus
Course Overview
Introduction to Online BigData Analytics
Utilizing Apache Kafka as a Data Backbone
Introducing Distributed Computation with Apache Storm
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Explores big data technologies and online analytics, which are foundational topics within data engineering
Provides an understanding of the architecture and concepts behind data backbone, storage, processing, and insights generation which are core competencies of a data engineer
Taught by Kobi Hikri, who is an experienced technology professional and instructor, adding credibility to the course
Instruction is multi-modal, including videos, discussions, and readings, which supports diverse learner preferences
Explores industry-standard tools like Kafka, Cassandra, Storm, and Elasticsearch, which are highly relevant to this field
Helps learners develop skills in Apache Kafka, Apache Storm, and Apache Cassandra, which are currently in demand in the job market
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Reviews summary
Building enterprise-grade distributed analytics systems
According to students, this course offers a comprehensive and practical approach to building an enterprise-grade distributed online analytics platform. Learners particularly praise the course for its ability to integrate complex big data technologies like Kafka, Cassandra, Storm, and Elasticsearch into a cohesive, working system. The hands-on activities and projects are highlighted as exceptionally useful for real-world application. While the course provides valuable architectural insights and benefits from expert instruction, some students note a high prerequisite knowledge requirement, making it best suited for intermediate to advanced learners. A few reviews also suggest that certain aspects or technologies might be due for updates to reflect the latest industry standards.
Led by an instructor with deep domain knowledge.
"The instructor clearly has deep expertise in distributed systems and big data technologies."
"Explanations were clear and insights were practical, showing real-world experience."
"The instructor's ability to simplify complex concepts made the challenging topics digestible."
Provides valuable understanding of system design and choices.
"Beyond just teaching tools, the course excelled at explaining the 'why' behind architectural decisions."
"Understanding how each technology fits into the larger analytics ecosystem was a major takeaway."
"The discussion on scalability and fault tolerance was excellent for system designers."
Focuses on real-world implementation with hands-on labs.
"The hands-on labs were the strongest part of the course, solidifying my understanding of each component."
"I found the practical exercises invaluable for seeing how each technology contributes to the overall solution."
"Learned to apply concepts immediately, which is crucial for building enterprise systems."
Teaches how to integrate multiple complex technologies.
"This course provides a comprehensive roadmap for building a full-blown distributed analytics system."
"I appreciated how all the pieces – Kafka, Cassandra, Storm, and Elasticsearch – were integrated into a cohesive whole."
"It's rare to find a course that ties together so many complex technologies into a working 'enterprise-grade' solution."
Technologies evolve rapidly, content may require updates.
"Some of the technologies, particularly Apache Storm, felt a bit outdated compared to newer streaming solutions."
"I had to spend time troubleshooting environment setups due to version mismatches with newer releases of Kafka and Elasticsearch."
"While foundational, some examples might benefit from updates to reflect current best practices or tool versions."
Requires significant prior knowledge of distributed systems.
"This course assumes a strong background in big data and distributed computing; it's not for beginners."
"I struggled at times due to the assumed level of knowledge; definitely a course for intermediate to advanced learners."
"Come prepared with prior experience in at least some of the covered technologies."
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 Building an Enterprise Grade Distributed Online Analytics Platform with these
activities:
Attend online meetups on big data and distributed systems
Show steps
Expand your professional network and stay up-to-date with industry trends by attending online meetups focused on big data and distributed systems, connecting with experts and learning about real-world applications.
Browse courses on
Big Data
Show steps
-
Find relevant meetups
-
Register and attend the meetups
-
Engage with other attendees
Review Kafka architecture
Show steps
Refine your understanding of Kafka's architecture to strengthen your foundation for building distributed analytics systems.
Browse courses on
Apache Kafka
Show steps
-
Read Kafka documentation
-
Review Kafka tutorials
-
Create a simple Kafka cluster
-
Explore Kafka's APIs
Follow tutorials on Cassandra NoSQL database
Show steps
Expand your knowledge by exploring Cassandra's capabilities through guided tutorials, gaining practical experience with this distributed database.
Browse courses on
Apache Cassandra
Show steps
-
Find tutorials on Cassandra
-
Choose a tutorial and follow the steps
-
Experiment with Cassandra commands
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve LeetCode problems on data structures and algorithms
Show steps
Strengthen your problem-solving abilities by tackling LeetCode challenges, improving your analytical thinking and coding skills, which are crucial for building analytics systems.
Browse courses on
Data Structures
Show steps
-
Choose a problem set
-
Attempt to solve the problems
-
Review solutions and learn from mistakes
Build a mini event streaming pipeline with Kafka
Show steps
Solidify your grasp of Kafka by constructing a small-scale event streaming pipeline that demonstrates data ingestion, processing, and consumption.
Show steps
-
Choose a data source
-
Set up Kafka and connect the data source
-
Write a simple data consumer
-
Monitor and debug the pipeline
Develop a data visualization dashboard using Elasticsearch
Show steps
Showcase your skills by creating a data visualization dashboard that leverages Elasticsearch's capabilities, enhancing your understanding of data analysis and presentation.
Show steps
-
Choose a dataset
-
Design the dashboard layout
-
Implement data visualizations
-
Deploy and configure the dashboard
Write a blog post on distributed analytics with Kafka
Show steps
Deepen your understanding by explaining distributed analytics concepts using Kafka in a written format, reinforcing your knowledge and potentially helping others.
Show steps
-
Identify key concepts
-
Research and gather information
-
Write and edit the blog post
Contribute to open-source projects related to Kafka or Cassandra
Show steps
Immerse yourself in real-world applications by contributing to open-source projects that use Kafka or Cassandra, gaining hands-on experience and expanding your network.
Show steps
-
Find a project to contribute to
-
Understand the project's codebase and objectives
-
Identify areas for improvement
-
Implement and test your contributions
Attend online meetups on big data and distributed systems
Show steps
Expand your professional network and stay up-to-date with industry trends by attending online meetups focused on big data and distributed systems, connecting with experts and learning about real-world applications.
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Find relevant meetups
- Register and attend the meetups
- Engage with other attendees
Review Kafka architecture
Show steps
Refine your understanding of Kafka's architecture to strengthen your foundation for building distributed analytics systems.
Browse courses on
Apache Kafka
Show steps
Show steps
Show steps
- Read Kafka documentation
- Review Kafka tutorials
- Create a simple Kafka cluster
- Explore Kafka's APIs
Follow tutorials on Cassandra NoSQL database
Show steps
Expand your knowledge by exploring Cassandra's capabilities through guided tutorials, gaining practical experience with this distributed database.
Browse courses on
Apache Cassandra
Show steps
Show steps
Show steps
- Find tutorials on Cassandra
- Choose a tutorial and follow the steps
- Experiment with Cassandra commands
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve LeetCode problems on data structures and algorithms
Show steps
Strengthen your problem-solving abilities by tackling LeetCode challenges, improving your analytical thinking and coding skills, which are crucial for building analytics systems.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Choose a problem set
- Attempt to solve the problems
- Review solutions and learn from mistakes
Build a mini event streaming pipeline with Kafka
Show steps
Solidify your grasp of Kafka by constructing a small-scale event streaming pipeline that demonstrates data ingestion, processing, and consumption.
Show steps
Show steps
Show steps
- Choose a data source
- Set up Kafka and connect the data source
- Write a simple data consumer
- Monitor and debug the pipeline
Develop a data visualization dashboard using Elasticsearch
Show steps
Showcase your skills by creating a data visualization dashboard that leverages Elasticsearch's capabilities, enhancing your understanding of data analysis and presentation.
Show steps
Show steps
Show steps
- Choose a dataset
- Design the dashboard layout
- Implement data visualizations
- Deploy and configure the dashboard
Write a blog post on distributed analytics with Kafka
Show steps
Deepen your understanding by explaining distributed analytics concepts using Kafka in a written format, reinforcing your knowledge and potentially helping others.
Show steps
Show steps
Show steps
- Identify key concepts
- Research and gather information
- Write and edit the blog post
Contribute to open-source projects related to Kafka or Cassandra
Show steps
Immerse yourself in real-world applications by contributing to open-source projects that use Kafka or Cassandra, gaining hands-on experience and expanding your network.
Show steps
Show steps
Show steps
- Find a project to contribute to
- Understand the project's codebase and objectives
- Identify areas for improvement
- Implement and test your contributions
Career center
Learners who complete Building an Enterprise Grade Distributed Online Analytics Platform will develop knowledge and skills
that may be useful to these careers:
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. They ensure that these systems are scalable, reliable, and secure. This course can help you develop the skills and knowledge you need to become a Cloud Architect. You will learn about the different components of a cloud computing system, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive system. This course will also help you develop the skills you need to manage a cloud computing system, including monitoring, troubleshooting, and scaling.
Data Architect
Data Architect
Data Architects design and manage data systems. They ensure that these systems are able to meet the needs of the business. This course can help you develop the skills and knowledge you need to become a Data Architect. You will learn about the different components of a data system, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive system. This course will also help you develop the skills you need to manage a data system, including monitoring, troubleshooting, and scaling.
Data Engineer
Data Engineer
Data Engineers build and maintain data systems. They ensure that these systems are able to collect, store, and process data. This course can help you develop the skills and knowledge you need to become a Data Engineer. You will learn about the different components of a data system, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive system. This course will also help you develop the skills you need to manage a data system, including monitoring, troubleshooting, and scaling.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They develop and implement data-driven solutions. This course can help you develop the skills and knowledge you need to become a Data Scientist. You will learn about the different components of a data system, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive system. This course will also help you develop the skills you need to manage a data system, including monitoring, troubleshooting, and scaling.
DevOps Engineer
DevOps Engineer
DevOps Engineers work with both development and operations teams to ensure that software is developed and deployed smoothly. They are responsible for building and maintaining the infrastructure that supports the software development process. This course can help you develop the skills and knowledge you need to become a DevOps Engineer. You will learn about the different components of a software development system, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive system. This course will also help you develop the skills you need to manage a software development system, including monitoring, troubleshooting, and scaling.
Full-Stack Developer
Full-Stack Developer
Full-Stack Developers are responsible for the entire software development process, from design to deployment. They work with both front-end and back-end technologies. This course can help you develop the skills and knowledge you need to become a Full-Stack Developer. You will learn about the different components of a software development system, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive system. This course will also help you develop the skills you need to manage a software development system, including monitoring, troubleshooting, and scaling.
IT Manager
IT Manager
IT Managers plan and manage the technology resources of an organization. They are responsible for ensuring that these resources are used effectively and efficiently. This course can help you develop the skills and knowledge you need to become an IT Manager. You will learn about the different components of an IT system, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive system. This course will also help you develop the skills you need to manage an IT system, including monitoring, troubleshooting, and scaling.
Network Engineer
Network Engineer
Network Engineers design and maintain computer networks. They ensure that these networks are reliable and secure. This course may help you develop the skills and knowledge you need to become a Network Engineer. You will learn about the different components of a computer network, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive system. This course may also help you develop the skills you need to manage a computer network, including monitoring, troubleshooting, and scaling.
Project Manager
Project Manager
Project Managers plan and execute projects. They are responsible for ensuring that projects are completed on time, within budget, and to the required quality standards. This course may help you develop the skills and knowledge you need to become a Project Manager. You will learn about the different components of a project, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive system. This course may also help you develop the skills you need to manage a project, including monitoring, troubleshooting, and scaling.
Security Analyst
Security Analyst
Security Analysts protect computer systems from unauthorized access and attack. They develop and implement security measures to ensure that these systems are protected from threats. This course may help you develop the skills and knowledge you need to become a Security Analyst. You will learn about the different components of a computer system, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive system. This course may also help you develop the skills you need to manage a computer system, including monitoring, troubleshooting, and scaling.
Software Developer
Software Developer
Software Developers design and develop software applications. They work with both front-end and back-end technologies. This course can help you develop the skills and knowledge you need to become a Software Developer. You will learn about the different components of a software application, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive system. This course will also help you develop the skills you need to manage a software application, including monitoring, troubleshooting, and scaling.
Systems Analyst
Systems Analyst
Systems Analysts design and implement computer systems. They work with both hardware and software to ensure that these systems meet the needs of the business. This course can help you develop the skills and knowledge you need to become a Systems Analyst. You will learn about the different components of a computer system, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive system. This course will also help you develop the skills you need to manage a computer system, including monitoring, troubleshooting, and scaling.
Technical Writer
Technical Writer
Technical Writers create user manuals, technical documents, and other materials to explain technical concepts. This course may help you develop the skills and knowledge you need to become a Technical Writer. You will learn about the different components of a technical document, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive document. This course may also help you develop the skills you need to manage a technical document, including monitoring, troubleshooting, and scaling.
Web Developer
Web Developer
Web Developers design and develop websites. They work with both front-end and back-end technologies. This course may help you develop the skills and knowledge you need to become a Web Developer. You will learn about the different components of a website, including data backbones, storage, processing, and insight generation. You will also learn how to integrate these components into a single, cohesive website. This course may also help you develop the skills you need to manage a website, including monitoring, troubleshooting, and scaling.
For more career information including salaries, visit:
OpenCourser.com/course/qn1z08/building
Reading list
We've selected ten 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
Building an Enterprise Grade Distributed Online Analytics Platform.
As a definitive guide on Apache Kafka, this book provides in-depth knowledge and practical guidance on the technology used as the data backbone in the course.
As the definitive guide on Elasticsearch, this book offers comprehensive coverage of the search and analytics engine used in the course, providing practical guidance and technical insights.
Provides a comprehensive overview of data management for big data applications, covering topics such as data storage, data processing, and data analytics. It includes case studies from a variety of industries.
Provides a comprehensive overview of machine learning for big data, covering both theoretical concepts and practical applications. It includes chapters on data preprocessing, feature engineering, model selection, and model evaluation.
Provides hands-on experience with machine learning using Scikit-Learn, Keras, and TensorFlow. It covers a wide range of topics, from data preprocessing to model evaluation.
Save
Provides a practical introduction to data visualization, covering topics such as choosing the right charts and graphs, creating effective visualizations, and communicating insights from data.
Provides a non-technical introduction to data science for business professionals. It covers the key concepts of data mining and data-analytic thinking, and includes case studies from a variety of industries.
Explores machine learning for data streams, offering insights into the techniques and algorithms used in real-time analytics, extending the course's coverage on data processing and insight generation.
Offers practical techniques for data analytics using Python, complementing the course's focus on distributed analytics with real-world examples and hands-on guidance.
Provides a hands-on introduction to data science with Python, covering data analysis, machine learning, and visualization techniques, offering additional practical knowledge for the course.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qn1z08/building
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