This course will teach you how analyzing large, complex datasets is greatly simplified by Sisense, and introduce you to the architecture and features of this platform which enables fast and intuitive analysis of big data.
Sisense has been able to carve out a niche for itself in the highly competitive cloud analytics space by providing a highly optimized and proprietary data layer known as Elasticube, in addition, to support for SQL, powerful built-in functions, and a great set of elegant visualizations.
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This course will teach you how analyzing large, complex datasets is greatly simplified by Sisense, and introduce you to the architecture and features of this platform which enables fast and intuitive analysis of big data.
Sisense has been able to carve out a niche for itself in the highly competitive cloud analytics space by providing a highly optimized and proprietary data layer known as Elasticube, in addition, to support for SQL, powerful built-in functions, and a great set of elegant visualizations.
This course will teach you how analyzing large, complex datasets is greatly simplified by Sisense, and introduce you to the architecture and features of this platform which enables fast and intuitive analysis of big data.
Sisense has been able to carve out a niche for itself in the highly competitive cloud analytics space by providing a highly optimized and proprietary data layer known as Elasticube, in addition, to support for SQL, powerful built-in functions, and a great set of elegant visualizations.
In this course, Getting Started with Sisense, you’ll see how Sisense is a great technology choice for analyzing data accurately and at scale, and learn how this technology is set up to simplify the analysis of business data.
First, you’ll explore the architecture and features available in Sisense, and how these help users carry out their business intelligence tasks. You'll see how Sisense uses several optimizations to achieve great performance, including its own algorithms to boost CPU cache performance.
Next, you’ll discover how the ElastiCube technology implemented in Sisense enables high-performing visualizations and dashboards. It is also possible to use the live data model to connect directly to an underlying data source as well.
Finally, you’ll learn how to use Sisense to build a simple dashboard composed of widgets which visualize a dataset, and how to leverage the Sisense designer mode to quickly put together sophisticated dashboards.
When you’re finished with this course, you’ll have the skills and knowledge of the Sisense platform needed to explore the various features of this technology which make it easy for you to extract meaningful and actionable insights from data.
What's inside
Syllabus
Course Overview
Introducing Sisense
Analyzing Data with ElastiCube
Building a Sisense Dashboard
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Syllabus
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Activities
Review data modeling concepts
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Review the fundamental principles of data modeling to enhance your comprehension of Sisense's data layer, Elasticube.
Browse courses on
Data Modeling
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Go through your notes or study materials on data modeling concepts.
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Do practice questions or exercises to test your understanding.
Practice building visualizations with Sisense
Show steps
Enhance your proficiency in creating visually compelling and insightful dashboards by practicing with Sisense's visualization capabilities.
Browse courses on
Data Visualization
Show steps
-
Explore the different visualization options available in Sisense.
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Create a simple dashboard using widgets to visualize a dataset.
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Experiment with different chart types and customization options.
Follow tutorials on optimizing Sisense performance
Show steps
Gain insights into techniques for optimizing Sisense performance, ensuring efficient and responsive data analysis.
Browse courses on
Data Optimization
Show steps
-
Search for tutorials or documentation on Sisense performance optimization.
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Follow the instructions to implement optimization techniques.
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Test the impact of the optimizations on your Sisense dashboards.
Four other activities
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Create a blog post or article on Sisense best practices
Show steps
Solidify your understanding of Sisense by sharing your knowledge through a written piece, showcasing your expertise and reinforcing the concepts covered in the course.
Browse courses on
Data Analysis Techniques
Show steps
-
Identify key best practices for using Sisense effectively.
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Structure your content with clear headings and subheadings.
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Write engaging and informative content based on your research and experience.
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Review and edit your work for clarity and accuracy.
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Publish your blog post or article on an appropriate platform.
Attend a Sisense user group meeting or conference
Show steps
Connect with other Sisense users and experts, exchange knowledge, and stay updated on the latest trends and best practices.
Show steps
-
Find a Sisense user group meeting or conference in your area.
-
Register and attend the event.
-
Network with other attendees and share your experiences.
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Learn from presentations and discussions on Sisense best practices.
Mentor a junior data analyst who is new to Sisense
Show steps
Enhance your understanding of Sisense by sharing your knowledge with others, while contributing to the community and fostering the next generation of data analysts.
Show steps
-
Identify a junior data analyst who would benefit from your guidance.
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Offer to mentor them and provide support on Sisense.
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Regularly meet with your mentee to answer questions and provide feedback.
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Celebrate their progress and provide encouragement along the way.
Volunteer your Sisense skills to a non-profit organization
Show steps
Apply your Sisense expertise to make a positive impact on a non-profit organization, while gaining valuable real-world experience.
Show steps
-
Identify a non-profit organization that aligns with your interests.
-
Contact the organization and offer your Sisense skills for volunteer work.
-
Collaborate with the organization to identify a project where Sisense can add value.
-
Use Sisense to analyze data and provide insights to the organization.
Review data modeling concepts
Show steps
Review the fundamental principles of data modeling to enhance your comprehension of Sisense's data layer, Elasticube.
Browse courses on
Data Modeling
Show steps
- Go through your notes or study materials on data modeling concepts.
- Do practice questions or exercises to test your understanding.
Practice building visualizations with Sisense
Show steps
Enhance your proficiency in creating visually compelling and insightful dashboards by practicing with Sisense's visualization capabilities.
Browse courses on
Data Visualization
Show steps
- Explore the different visualization options available in Sisense.
- Create a simple dashboard using widgets to visualize a dataset.
- Experiment with different chart types and customization options.
Follow tutorials on optimizing Sisense performance
Show steps
Gain insights into techniques for optimizing Sisense performance, ensuring efficient and responsive data analysis.
Browse courses on
Data Optimization
Show steps
- Search for tutorials or documentation on Sisense performance optimization.
- Follow the instructions to implement optimization techniques.
- Test the impact of the optimizations on your Sisense dashboards.
Create a blog post or article on Sisense best practices
Show steps
Solidify your understanding of Sisense by sharing your knowledge through a written piece, showcasing your expertise and reinforcing the concepts covered in the course.
Browse courses on
Data Analysis Techniques
Show steps
- Identify key best practices for using Sisense effectively.
- Structure your content with clear headings and subheadings.
- Write engaging and informative content based on your research and experience.
- Review and edit your work for clarity and accuracy.
- Publish your blog post or article on an appropriate platform.
Attend a Sisense user group meeting or conference
Show steps
Connect with other Sisense users and experts, exchange knowledge, and stay updated on the latest trends and best practices.
Show steps
- Find a Sisense user group meeting or conference in your area.
- Register and attend the event.
- Network with other attendees and share your experiences.
- Learn from presentations and discussions on Sisense best practices.
Mentor a junior data analyst who is new to Sisense
Show steps
Enhance your understanding of Sisense by sharing your knowledge with others, while contributing to the community and fostering the next generation of data analysts.
Show steps
- Identify a junior data analyst who would benefit from your guidance.
- Offer to mentor them and provide support on Sisense.
- Regularly meet with your mentee to answer questions and provide feedback.
- Celebrate their progress and provide encouragement along the way.
Volunteer your Sisense skills to a non-profit organization
Show steps
Apply your Sisense expertise to make a positive impact on a non-profit organization, while gaining valuable real-world experience.
Show steps
- Identify a non-profit organization that aligns with your interests.
- Contact the organization and offer your Sisense skills for volunteer work.
- Collaborate with the organization to identify a project where Sisense can add value.
- Use Sisense to analyze data and provide insights to the organization.
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