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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. This lab will cover how to create a clickstream data analysis pipeline using ksqlDB.
Register for this course and see more details by visiting:
OpenCourser.com/course/ar846k/confluent
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What's inside
Syllabus
Confluent: Clickstream Data Analysis Pipeline Using ksqlDB
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches ksqlDB, which is an essential tool for streaming data analysis
Develops practical skills in building data analysis pipelines
Offers hands-on labs in the Google Cloud console
Suitable for learners with basic knowledge of data analysis
Save this course
Save Confluent: Clickstream Data Analysis Pipeline Using ksqlDB to your list so you can find it easily later:
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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 Confluent: Clickstream Data Analysis Pipeline Using ksqlDB with these
activities:
Review intermediate topics in SQL
Show steps
Start your learning by reviewing topics like relational model concepts, set operators, subqueries, joins, and aggregate functions.
Browse courses on
SQL
Show steps
-
Review your notes and slides from previous SQL courses or textbooks.
-
Complete a few online tutorials on intermediate SQL topics.
-
Take practice quizzes or solve coding challenges to test your understanding.
Follow a tutorial on ksqlDB concepts
Show steps
Get a head start on the course by diving into the foundations of ksqlDB, including its architecture, core concepts, and use cases.
Show steps
-
Find a reputable online tutorial or documentation on ksqlDB.
-
Go through the tutorial step by step, taking notes and trying out examples.
-
Complete any exercises or quizzes provided in the tutorial to reinforce your understanding.
Show all two activities
Review intermediate topics in SQL
Show steps
Start your learning by reviewing topics like relational model concepts, set operators, subqueries, joins, and aggregate functions.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review your notes and slides from previous SQL courses or textbooks.
- Complete a few online tutorials on intermediate SQL topics.
- Take practice quizzes or solve coding challenges to test your understanding.
Follow a tutorial on ksqlDB concepts
Show steps
Get a head start on the course by diving into the foundations of ksqlDB, including its architecture, core concepts, and use cases.
Show steps
Show steps
Show steps
- Find a reputable online tutorial or documentation on ksqlDB.
- Go through the tutorial step by step, taking notes and trying out examples.
- Complete any exercises or quizzes provided in the tutorial to reinforce your understanding.
Show all two activities
Career center
Learners who complete Confluent: Clickstream Data Analysis Pipeline Using ksqlDB will develop knowledge and skills
that may be useful to these careers:
Database Administrator
Database Administrator
Database Administrators keep databases and data management systems operational. A large part of this role is developing and implementing security measures to protect sensitive data. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* can help you to build a foundation in understanding ksqlDB, which is knowledge that can be applied as a Database Administrator. Especially if you are working with clickstream data, this course could be a valuable investment.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. By taking the course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB*, you may get an introduction to ksqlDB, helping you build a foundation necessary for success as a Data Engineer. This course can help you to develop the skills to design and manage a clickstream data pipeline.
Business Analyst
Business Analyst
Business Analysts help businesses to understand their data and make better decisions. They use data analysis techniques to identify trends and patterns in data, and they communicate their findings to stakeholders. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* may help you to build a foundation in data analysis and ksqlDB, which can be useful as a Business Analyst.
Data Analyst
Data Analyst
Data Analysts gather, process, and interpret data to identify patterns and trends that can help to drive business decisions. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* may be helpful to you in this career path by providing foundational knowledge of ksqlDB that can help you to analyze clickstream data.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to help businesses and organizations make informed decisions. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* may be useful to you as you build your career path. Especially if you work with clickstream data, the foundational knowledge of ksqlDB taught in this course could be helpful.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They work with a variety of programming languages and technologies to create software that meets the needs of businesses and consumers. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* may be useful to you in this career path as it can help you build a foundation in ksqlDB and working with clickstream data, foundational knowledge that can help you to succeed as a Software Engineer.
Data Scientist
Data Scientist
Data Scientists gather, analyze, and interpret large amounts of data to help businesses make decisions. They use statistical and machine learning techniques to identify trends and patterns in data. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* may be of some relevance as you build your career in this field and could help enhance your knowledge of ksqlDB and how to analyze clickstream data.
Data Architect
Data Architect
Data Architects design and manage data systems. They work with businesses to understand their data needs and design systems that can meet those needs. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* could provide you with some of the foundational ksqlDB knowledge that can help you succeed as a Data Architect.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access and use. They implement and maintain security measures to prevent and detect security breaches. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* may be of some relevance to you in this career path, especially if you work with clickstream data. Knowledge of ksqlDB could be beneficial as an Information Security Analyst.
Systems Engineer
Systems Engineer
Systems Engineers design, implement, and maintain computer systems and networks. They also provide technical support to users. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* may be of some relevance to you as you build your career path. The foundational knowledge of ksqlDB that you could gain from this course may be useful in your work as a Systems Engineer.
IT Manager
IT Manager
IT Managers oversee the planning, implementation, and maintenance of computer systems and networks. They also manage the staff that supports these systems. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* could be of some help to you as you build your career path. Foundational knowledge of ksqlDB can be helpful to you, and this course can teach you how to design and implement a clickstream data analysis pipeline.
Network Administrator
Network Administrator
Network Administrators manage computer networks and ensure that they are running smoothly. They also troubleshoot and resolve network problems. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* may be of some help to you as you build your career path. You may find relevance in the knowledge of ksqlDB, especially if you work with clickstream data.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketing teams to bring products to market. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* may not directly prepare you for this role, but it could be helpful if you are working on products related to data analysis or data pipelines.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. They work with teams to ensure that projects are completed on time, within budget, and to the required quality standards. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* may be of some use to you in this career path. Exposure to designing and implementing a data pipeline could be helpful as a Project Manager.
Sales Engineer
Sales Engineer
Sales Engineers help customers to understand and purchase technical products and services. They work with customers to identify their needs and develop solutions that meet those needs. The course, *Confluent: Clickstream Data Analysis Pipeline Using ksqlDB* may not directly prepare you for this role, but if you are working with products related to data analysis or data pipelines, it could be helpful.
For more career information including salaries, visit:
OpenCourser.com/course/ar846k/confluent
Reading list
We've selected seven 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
Confluent: Clickstream Data Analysis Pipeline Using ksqlDB.
Provides a comprehensive overview of machine learning for data streams. It covers the different challenges of learning from data streams, as well as the different machine learning algorithms that can be used for this task.
Provides a comprehensive overview of big data analytics with Java. It covers the different big data technologies, as well as the different Java libraries that can be used for big data analytics.
Provides a practical guide to data science for business. It covers the different steps of the data science process, from data collection to model deployment.
Provides a comprehensive overview of Python for data analysis. It covers the different Python libraries that can be used for data analysis, as well as the different data analysis techniques that can be performed with Python.
Save
Provides a comprehensive overview of R for data science. It covers the different R packages that can be used for data science, as well as the different data science techniques that can be performed with R.
Save
Provides a comprehensive overview of SQL for data analysis. It covers the different SQL statements that can be used for data analysis, as well as the different data analysis techniques that can be performed with SQL.
Provides a comprehensive overview of data visualization. It covers the different types of data visualizations that can be used, as well as the different techniques for creating effective data visualizations.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ar846k/confluent
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Teaches ksqlDB, which is an essential tool for streaming data analysis
Develops practical skills in building data analysis pipelines
Offers hands-on labs in the Google Cloud console
Suitable for learners with basic knowledge of data analysis
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