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Dayo Bamikole
This course will teach you all the necessary components needed to build an effective data solution.
Read more
This course will teach you all the necessary components needed to build an effective data solution.
Read more
This course will teach you all the necessary components needed to build an effective data solution.
Building a Data Solution can be an interesting project, however you run the risk of getting bombarded with several options. In this course, Integrate an Analytics Platform into an Existing IT Infrastructure, you'll learn to confidently combine different aspects of a data solution to fulfill your requirements. First, you’ll explore how to manage capacity in Power BI. Next, you’ll discover configure an on-premise gateway. Finally, you’ll delve into how to Integrate to Power BI to an Azure Data Lake Storage as well as an Azure Synapse Analytics environment. When you’re finished with this course, you’ll have the skills and knowledge of identifying requirements for a solution - including features, performance, licensing, and strategy needed to build a well-configured data solution.
Register for this course and see more details by visiting:
OpenCourser.com/course/4gn39z/integrate
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What's inside
Syllabus
Course Overview
Identify Requirements for a Solution, including Features, Performance, and Licensing Strategy
Configure and Manage Power BI Capacity
Read more
Syllabus
Course Overview
Identify Requirements for a Solution, including Features, Performance, and Licensing Strategy
Configure and Manage Power BI Capacity
Read more
Recommend and Configure an On-premises Gateway in Power BI
Integrate an Existing Power BI Workspace into Azure Synapse Analytics & Azure Data Lake Storage Gen2
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for professionals looking to integrate data solutions into existing IT infrastructure
Taught by industry expert Dayo Bamikole, ensuring high-quality instruction
Covers essential components for building effective data solutions
Provides hands-on experience with Power BI, Azure Data Lake Storage, and Azure Synapse Analytics
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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 Integrate an Analytics Platform into an Existing IT Infrastructure with these
activities:
Review Power BI Desktop Basics
Show steps
Refresh your understanding of Power BI Desktop fundamentals, ensuring a strong foundation for the course.
Browse courses on
Power BI Desktop
Show steps
-
Review online documentation or tutorials on Power BI Desktop.
-
Practice loading and cleaning data.
-
Create a simple report with visualizations.
Review Azure and Data Lake concepts
Show steps
Refresh your knowledge of Microsoft Azure and the Data Lake to ensure a strong understanding of the technologies used in this course.
Browse courses on
Azure
Show steps
-
Review documentation about Azure and Data Lake Storage
-
Take practice quizzes on Azure and Data Lake concepts
Read 'Data Warehousing: Architecture and Implementation'
Show steps
Gain a comprehensive understanding of data warehousing concepts and best practices to enhance your data solution design.
View
Corporate Information Factory
on Amazon
Show steps
-
Read chapters related to data warehouse architecture and design.
-
Review case studies and examples to understand practical applications.
-
Discuss key concepts with classmates or online forums.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Follow Microsoft Azure Data Lake Storage Tutorial
Show steps
Enhance understanding of Azure Data Lake Storage, enabling seamless data integration and storage for your data solution.
Browse courses on
Azure Storage
Show steps
-
Explore Microsoft's official tutorial documentation.
-
Follow step-by-step instructions to create an Azure Data Lake Storage account.
-
Learn about data ingestion, access control, and security practices.
Follow tutorials on Power BI integration
Show steps
Enhance your understanding of Power BI integration by following guided tutorials that provide step-by-step instructions and examples.
Browse courses on
Power BI
Show steps
-
Search for tutorials on Power BI integration with on-premises gateways
-
Follow the tutorials to configure and manage Power BI integration
Create a data solution prototype
Show steps
Build a basic prototype of a data solution to apply the concepts learned in the course and gain practical experience.
Show steps
-
Define the requirements and goals of your data solution
-
Design the architecture of your data solution
-
Implement the data solution using appropriate tools and technologies
-
Test and evaluate the performance of your data solution
Attend a workshop on data integration
Show steps
Deepen your knowledge of data integration by attending a workshop led by industry experts, where you can learn best practices and connect with professionals in the field.
Browse courses on
Data Integration
Show steps
-
Search for and register for a workshop on data integration
-
Attend the workshop and actively participate in discussions and activities
Solve Power BI Capacity Planning Exercise
Show steps
Gain hands-on experience in planning and managing capacity in Power BI to ensure optimal performance.
Browse courses on
Capacity Management
Show steps
-
Identify business and data requirements.
-
Calculate capacity needs using Power BI capacity calculator.
-
Explore different capacity models and pricing options.
-
Implement capacity scaling and monitoring strategies.
Practice capacity management in Power BI
Show steps
Solidify your understanding of capacity management in Power BI by completing practice exercises and solving problems.
Browse courses on
Power BI
Show steps
-
Create a Power BI workspace and configure capacity settings
-
Monitor and analyze Power BI capacity usage
-
Troubleshoot and resolve common capacity-related issues
Design and Implement On-premises Gateway for Power BI
Show steps
Develop a comprehensive understanding of on-premises gateway setup and configuration, ensuring secure and reliable data access.
Show steps
-
Determine gateway requirements and infrastructure.
-
Install and configure the gateway on the on-premises server.
-
Create and manage data sources using the gateway.
-
Monitor and troubleshoot gateway connectivity.
Develop a data solution proposal
Show steps
Demonstrate your proficiency in data solution design by creating a comprehensive proposal outlining a data solution for a specific business problem.
Show steps
-
Identify a business problem and analyze its data requirements
-
Design a data solution that addresses the identified requirements
-
Develop a detailed proposal outlining the solution, its implementation plan, and expected outcomes
Practice Power BI Integration with Azure Synapse Analytics
Show steps
Gain hands-on experience in integrating Power BI with Azure Synapse Analytics, unlocking advanced analytics and data insights.
Browse courses on
Data Integration
Show steps
-
Establish a connection between Power BI and Azure Synapse Analytics.
-
Create and visualize reports using Azure Synapse Analytics data.
-
Explore advanced features for data transformation and modeling.
Create a Blog Post on Data Solution Implementation
Show steps
Solidify understanding of data solution implementation by sharing your knowledge and insights with others through a blog post.
Show steps
-
Research and gather information on data solution implementation best practices.
-
Outline and write your blog post, providing clear and concise explanations.
-
Proofread and edit your content for accuracy and clarity.
-
Publish your blog post on a relevant platform.
Review Power BI Desktop Basics
Show steps
Refresh your understanding of Power BI Desktop fundamentals, ensuring a strong foundation for the course.
Browse courses on
Power BI Desktop
Show steps
Show steps
Show steps
- Review online documentation or tutorials on Power BI Desktop.
- Practice loading and cleaning data.
- Create a simple report with visualizations.
Review Azure and Data Lake concepts
Show steps
Refresh your knowledge of Microsoft Azure and the Data Lake to ensure a strong understanding of the technologies used in this course.
Browse courses on
Azure
Show steps
Show steps
Show steps
- Review documentation about Azure and Data Lake Storage
- Take practice quizzes on Azure and Data Lake concepts
Read 'Data Warehousing: Architecture and Implementation'
Show steps
Gain a comprehensive understanding of data warehousing concepts and best practices to enhance your data solution design.
View
Corporate Information Factory
on Amazon
Show steps
Show steps
Show steps
- Read chapters related to data warehouse architecture and design.
- Review case studies and examples to understand practical applications.
- Discuss key concepts with classmates or online forums.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Follow Microsoft Azure Data Lake Storage Tutorial
Show steps
Enhance understanding of Azure Data Lake Storage, enabling seamless data integration and storage for your data solution.
Browse courses on
Azure Storage
Show steps
Show steps
Show steps
- Explore Microsoft's official tutorial documentation.
- Follow step-by-step instructions to create an Azure Data Lake Storage account.
- Learn about data ingestion, access control, and security practices.
Follow tutorials on Power BI integration
Show steps
Enhance your understanding of Power BI integration by following guided tutorials that provide step-by-step instructions and examples.
Browse courses on
Power BI
Show steps
Show steps
Show steps
- Search for tutorials on Power BI integration with on-premises gateways
- Follow the tutorials to configure and manage Power BI integration
Create a data solution prototype
Show steps
Build a basic prototype of a data solution to apply the concepts learned in the course and gain practical experience.
Show steps
Show steps
Show steps
- Define the requirements and goals of your data solution
- Design the architecture of your data solution
- Implement the data solution using appropriate tools and technologies
- Test and evaluate the performance of your data solution
Attend a workshop on data integration
Show steps
Deepen your knowledge of data integration by attending a workshop led by industry experts, where you can learn best practices and connect with professionals in the field.
Browse courses on
Data Integration
Show steps
Show steps
Show steps
- Search for and register for a workshop on data integration
- Attend the workshop and actively participate in discussions and activities
Solve Power BI Capacity Planning Exercise
Show steps
Gain hands-on experience in planning and managing capacity in Power BI to ensure optimal performance.
Browse courses on
Capacity Management
Show steps
Show steps
Show steps
- Identify business and data requirements.
- Calculate capacity needs using Power BI capacity calculator.
- Explore different capacity models and pricing options.
- Implement capacity scaling and monitoring strategies.
Practice capacity management in Power BI
Show steps
Solidify your understanding of capacity management in Power BI by completing practice exercises and solving problems.
Browse courses on
Power BI
Show steps
Show steps
Show steps
- Create a Power BI workspace and configure capacity settings
- Monitor and analyze Power BI capacity usage
- Troubleshoot and resolve common capacity-related issues
Design and Implement On-premises Gateway for Power BI
Show steps
Develop a comprehensive understanding of on-premises gateway setup and configuration, ensuring secure and reliable data access.
Show steps
Show steps
Show steps
- Determine gateway requirements and infrastructure.
- Install and configure the gateway on the on-premises server.
- Create and manage data sources using the gateway.
- Monitor and troubleshoot gateway connectivity.
Develop a data solution proposal
Show steps
Demonstrate your proficiency in data solution design by creating a comprehensive proposal outlining a data solution for a specific business problem.
Show steps
Show steps
Show steps
- Identify a business problem and analyze its data requirements
- Design a data solution that addresses the identified requirements
- Develop a detailed proposal outlining the solution, its implementation plan, and expected outcomes
Practice Power BI Integration with Azure Synapse Analytics
Show steps
Gain hands-on experience in integrating Power BI with Azure Synapse Analytics, unlocking advanced analytics and data insights.
Browse courses on
Data Integration
Show steps
Show steps
Show steps
- Establish a connection between Power BI and Azure Synapse Analytics.
- Create and visualize reports using Azure Synapse Analytics data.
- Explore advanced features for data transformation and modeling.
Create a Blog Post on Data Solution Implementation
Show steps
Solidify understanding of data solution implementation by sharing your knowledge and insights with others through a blog post.
Show steps
Show steps
Show steps
- Research and gather information on data solution implementation best practices.
- Outline and write your blog post, providing clear and concise explanations.
- Proofread and edit your content for accuracy and clarity.
- Publish your blog post on a relevant platform.
Career center
Learners who complete Integrate an Analytics Platform into an Existing IT Infrastructure will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts design and prepare data for analysis by other professionals in the organization. Data Analysts use their knowledge of statistics, computer programming, data science, and other fields to create databases. As a Data Analyst, you might use the skills learned in the course to help you help you understand the business requirements for a data solution and to design and implement a solution that meets those requirements.
Data Scientist
Data Scientist
Data Scientists use statistical and computational techniques to extract knowledge from data, and apply this knowledge to business problems. Data Scientists often work with other professionals in the organization to develop and implement data-driven solutions. As a Data Scientist, you might use the skills learned in the course to help you to understand the business requirements for a data solution and to design and implement a solution that meets those requirements.
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure that stores and processes data. As a Data Engineer, you might use the skills learned in the course to help you to understand the business requirements for a data solution and to design and implement a solution that meets those requirements.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. As a Software Engineer, you might use the skills learned in the course to help you to understand the business requirements for a data solution and to design and implement a solution that meets those requirements.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. As a Database Administrator, you might use the skills learned in the course to help you to understand the business requirements for a data solution and to design and implement a solution that meets those requirements.
Project Manager
Project Manager
Project Managers plan, organize, and execute projects. As a Project Manager, you might use the skills learned in the course to help you to understand the business requirements for a data solution and to design and implement a solution that meets those requirements.
Business Analyst
Business Analyst
Business Analysts help organizations to improve their performance by analyzing business processes and recommending solutions. As a Business Analyst, you might use the skills learned in the course to help you understand the business requirements for a data solution and to design and implement a solution that meets those requirements.
Data Architect
Data Architect
Data Architects design and build the architecture for data systems. As a Data Architect, you might use the skills learned in the course to help you to understand the business requirements for a data solution and to design and implement a solution that meets those requirements.
IT Manager
IT Manager
IT Managers plan, organize, and direct the activities of an organization's IT department. As an IT Manager, you might use the skills learned in the course to help you understand the business requirements for a data solution and to design and implement a solution that meets those requirements.
Systems Analyst
Systems Analyst
Systems Analysts analyze and design computer systems. As a Systems Analyst, you might use the skills learned in the course to help you to understand the business requirements for a data solution and to design and implement a solution that meets those requirements.
Data Integration Engineer
Data Integration Engineer
Data Integration Engineers design and build data integration systems. As a Data Integration Engineer, you might use the skills learned in the course to understand how to integrate an analytics platform into an existing IT infrastructure.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects design and build data warehouses. As a Data Warehouse Architect, you might use the skills learned in the course to understand how to integrate an analytics platform into an existing IT infrastructure.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies and procedures. As a Data Governance Analyst, you might use the skills learned in the course to understand how to integrate an analytics platform into an existing IT infrastructure.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help organizations make better decisions. As a Business Intelligence Analyst, you might use the skills learned in the course to understand how to integrate an analytics platform into an existing IT infrastructure.
Data Security Analyst
Data Security Analyst
Data Security Analysts protect data from unauthorized access, use, disclosure, disruption, modification, or destruction. As a Data Security Analyst, you might use the skills learned in the course to understand how to integrate an analytics platform into an existing IT infrastructure.
For more career information including salaries, visit:
OpenCourser.com/course/4gn39z/integrate
Reading list
We've selected nine 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
Integrate an Analytics Platform into an Existing IT Infrastructure.
Comprehensive guide to using Power BI, and it covers all the topics that are covered in the course. It valuable reference for anyone who wants to learn more about Power BI.
Complements the course well by providing a thorough foundation in data analytics concepts, techniques, and tools. It covers a wide range of topics, including data collection, preparation, analysis, and visualization. It also includes case studies and examples to illustrate the practical application of data analytics.
Save
Provides a comprehensive overview of data integration with Microsoft Azure. It covers all the major data integration technologies that are available in Azure.
Save
Provides a collection of recipes for solving common problems in Power BI. It valuable resource for anyone who wants to learn more about Power BI.
Save
Provides a comprehensive guide to data visualization with Power BI. It covers all the major data visualization techniques that are available in Power BI.
Great resource for those who are new to Power BI or want to refresh their knowledge. It provides clear and concise instructions on how to use Power BI to connect to data sources, create reports and dashboards, and analyze data. It also includes exercises and practice files to help readers apply what they learn.
Classic in the field of data warehousing. It provides a comprehensive overview of the principles and practices of data warehousing. It covers topics such as data modeling, data storage, data retrieval, and data analysis. It also includes case studies and examples to illustrate the practical application of data warehousing.
Provides a comprehensive overview of SQL, a programming language used for data analysis. It covers topics such as data types, data structures, data manipulation, and data analysis. It also includes case studies and examples to illustrate the practical application of SQL for data analytics.
Provides a gentle introduction to Power BI. It good choice for beginners who want to learn more about the basics of Power BI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4gn39z/integrate
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Time
38 hours
Level
Introductory
Via
Pluralsight
Instructor
Dayo Bamikole
Language
English
Good to know
Suitable for professionals looking to integrate data solutions into existing IT infrastructure
Taught by industry expert Dayo Bamikole, ensuring high-quality instruction
Covers essential components for building effective data solutions
Provides hands-on experience with Power BI, Azure Data Lake Storage, and Azure Synapse Analytics
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