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Understanding and Implementing Data Models with Sisense

Understanding and Implementing Data Models in Sisense will make you comfortable in connecting to data sources and building data-model.

In this course, Understanding and Implementing Data Models in Sisense, you’ll learn techniques to build data-model. First, you’ll explore connecting to various data sources. Next, you’ll discover combining data. Finally, you’ll learn how to apply data model techniques. When you’re finished with this course, you’ll have the skills and knowledge of data model needed to build elasticube.

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What's inside

Syllabus

Course Overview

Elasticube Model

Building Data Model

Creating Live Connection

Administration

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for those new to or familiar with data modeling

Covers fundamentals and provides hands-on practice

Provides techniques that can be applied immediately

Prior experience with databases and Sisense may enhance learning

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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 Understanding and Implementing Data Models with Sisense with these activities:

Review data modeling concepts

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Revisit the basics of data modeling to strengthen your foundational understanding before starting the course.

Browse courses on Data Modeling

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Review data modeling principles and techniques
Explore different types of data models
Practice creating simple data models

Participate in peer review sessions

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Gain valuable feedback and insights by sharing your data models with peers and reviewing theirs.

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Connect with classmates or fellow learners.
Organize regular sessions to share and discuss data models.
Provide constructive feedback and suggestions for improvement.

Follow tutorials on data modeling techniques

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Enhances understanding of data modeling techniques by providing guided practice and examples.

Browse courses on Data Modeling

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Identify and research data modeling techniques
Follow tutorial on a specific data modeling technique

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Participate in a peer study group or discussion forum

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Fosters collaboration, knowledge sharing, and critical thinking among peers, enhancing understanding of course material.

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Join or create a peer study group
Discuss and exchange ideas on data modeling concepts

Practice connecting to data sources

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Establish a solid foundation by practicing various data source connection techniques.

Browse courses on Data Sources

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Go through Sisense documentation on supported data sources.
Practice connecting to a variety of data sources including databases, files, and cloud services.
Try establishing live connections to databases.

Practice combining data and building data models

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Strengthen your understanding of data modeling by practicing combining data and building different types of data models.

Browse courses on Data Models

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Review the principles of data modeling and different types of data models.
Practice combining data from multiple sources using different join types.
Build a star schema data model and a snowflake schema data model.

Create an elasticube model based on a real-world scenario

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Provides an opportunity to apply data modeling knowledge to a realistic problem, deepening understanding and solidifying skills.

Browse courses on Data Modeling

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Identify a real-world scenario that requires data modeling
Design and create an elasticube model based on the scenario
Validate and refine the elasticube model

Start a personal project using Sisense

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Enhance your practical skills by starting a personal project that involves using Sisense to solve a data-related problem or explore different data modeling techniques.

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Identify a project idea
Gather necessary resources
Plan and execute your project

Career center

Learners who complete Understanding and Implementing Data Models with Sisense will develop knowledge and skills that may be useful to these careers:

Business Intelligence Analyst

Business Intelligence Analysts collect and analyze data to develop insights that inform business decision-making. Though a background in computer science or business is usually required, Understanding and Implementing Data Models with Sisense may be helpful to you because it helps build a foundation in data model techniques.

See salaries and explore the career path for Business Intelligence Analyst

Data Analyst

Data Analysts structure data for various data science projects and more. To become a Data Analyst, it is helpful to have a background in statistics and computer science. Understanding and Implementing Data Models with Sisense may be helpful to you because it can help you build a foundation in connecting to various data sources and building data models.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists develop, implement, and evaluate statistical and machine learning models to extract useful information and insights from data. While a PhD is usually required, Understanding and Implementing Data Models with Sisense may be helpful to you because it helps build a foundation in building data models.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers design, implement, and maintain data pipelines and databases to support data-driven applications. This role usually requires a bachelor’s degree in computer science or a related field. Understanding and Implementing Data Models with Sisense may be helpful to you because it helps build a foundation in building data models.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators maintain and optimize databases to ensure high performance and availability. This role usually requires at least a bachelor’s degree in computer science or a related field. Understanding and Implementing Data Models with Sisense may be helpful to you because it helps build a foundation in connecting to data sources.

See salaries and explore the career path for Database Administrator

Business Analyst

Business Analysts analyze business processes and identify areas for improvement. To become a Business Analyst, you usually need a bachelor's degree in business or a related field. Understanding and Implementing Data Models with Sisense may be helpful to you because it can help build a foundation in connecting to data sources and building data models.

See salaries and explore the career path for Business Analyst

Quantitative Analyst

Quantitative Analysts use mathematical and statistical methods to analyze financial data and make investment recommendations. This role usually requires a master's or doctoral degree in mathematics, statistics, or a related field. Understanding and Implementing Data Models with Sisense may be helpful to you because it helps build a foundation in data model techniques.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries assess and manage financial risks for insurance companies and other organizations. This role usually requires a bachelor's degree in mathematics, statistics, or a related field. Understanding and Implementing Data Models with Sisense may be helpful to you because it helps build a foundation in data model techniques.

See salaries and explore the career path for Actuary

Market Researcher

Market Researchers conduct research to understand consumer needs and preferences. This role usually requires a bachelor’s degree in business, marketing, or a related field. Understanding and Implementing Data Models with Sisense may be helpful to you because it can help build a foundation in data model techniques.

See salaries and explore the career path for Market Researcher

Data Visualization Analyst

Data Visualization Analysts create visual representations of data to communicate insights and trends. This role usually requires a bachelor’s degree in computer science, design, or a related field. Understanding and Implementing Data Models with Sisense may be helpful to you because it helps build a foundation in data model techniques.

See salaries and explore the career path for Data Visualization Analyst

Operations Research Analyst

Operations Research Analysts use analytical methods to solve complex problems in business and industry. This role usually requires a master's or doctoral degree in operations research, industrial engineering, or a related field. Understanding and Implementing Data Models with Sisense may be helpful to you because it helps build a foundation in data model techniques.

See salaries and explore the career path for Operations Research Analyst

Statistician

Statisticians collect, analyze, interpret, and present data. This role usually requires a master's or doctoral degree in statistics or a related field. Understanding and Implementing Data Models with Sisense may be helpful to you because it helps build a foundation in data model techniques.

See salaries and explore the career path for Statistician

Software Engineer

Software Engineers design, develop, and maintain software systems. This role usually requires a bachelor’s degree in computer science or a related field. Understanding and Implementing Data Models with Sisense may be helpful to you because it helps build a foundation in data model techniques.

See salaries and explore the career path for Software Engineer

Financial Analyst

Financial Analysts provide investment advice and make investment recommendations to individuals and organizations. This role usually requires a bachelor’s degree in finance or a related field. Understanding and Implementing Data Models with Sisense may be helpful to you because it helps build a foundation in data model techniques.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts identify, assess, and mitigate risks for businesses and organizations. This role usually requires a bachelor’s degree in finance, business, or a related field. Understanding and Implementing Data Models with Sisense may be helpful to you because it helps build a foundation in data model techniques.

See salaries and explore the career path for Risk Analyst

Reading list

We've selected 17 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 Understanding and Implementing Data Models with Sisense.

Access 2016 Bible

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If you want to explore data modeling using Visio software, this book great option. It provides step-by-step instructions and examples.

Understanding and Implementing Data Models with Sisense

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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