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Understanding and Implementing Data Models with Sisense

Sai Krishna

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

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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.

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