Business Intelligence with Databricks
Welcome to the Introduction to Business Intelligence with Databricks course. This short course provides a introduction to business intelligence (BI) and the powerful Databricks platform. In today's data-driven business landscape, understanding BI and utilizing cutting-edge tools like Databricks is essential for optimizing decision-making processes and gaining valuable insights from data.
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Welcome to the Introduction to Business Intelligence with Databricks course. This short course provides a introduction to business intelligence (BI) and the powerful Databricks platform. In today's data-driven business landscape, understanding BI and utilizing cutting-edge tools like Databricks is essential for optimizing decision-making processes and gaining valuable insights from data.
Welcome to the Introduction to Business Intelligence with Databricks course. This short course provides a introduction to business intelligence (BI) and the powerful Databricks platform. In today's data-driven business landscape, understanding BI and utilizing cutting-edge tools like Databricks is essential for optimizing decision-making processes and gaining valuable insights from data.
By completing this course, you will be able to:
• Gain an understanding of business intelligence and its importance in modern business operations.
• Acquire proficiency in utilizing the Databricks platform for data integration, preparation, visualization, and governance.
• Develop practical skills in creating queries, visualizing data, and administering work within the Databricks environment.
This course is suitable for beginners and professionals seeking to enhance their knowledge of BI and Databricks. Whether you're a data analyst, business professional, or IT specialist, this course will equip you with the skills to leverage data for informed decision-making effectively.
Learners are expected to have a basic working knowledge of the Azure services.
Join us on this journey to unlock the full potential of business intelligence with Databricks, and take your data-driven decision-making to the next level.
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Syllabus
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Activities
Review Azure services
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Familiarize yourself with the basics of Azure services to gain a stronger foundation for the upcoming course.
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Azure Services
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Review Microsoft's official documentation on Azure services.
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Watch tutorial videos on YouTube or Coursera.
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Complete the Azure Fundamentals certification course.
Learn SQL basics
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Gain a basic understanding of SQL to enhance your ability to work with data in Databricks.
Browse courses on
SQL
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Enroll in an online SQL course on platforms like Coursera or edX.
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Follow interactive tutorials on websites like W3Schools or SQLZoo.
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Practice writing SQL queries using an online SQL editor.
Work with Databricks notebooks
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Gain hands-on experience with Databricks notebooks to enhance your practical skills.
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Databricks
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Create a free Databricks community account.
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Explore the Databricks notebook interface.
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Run sample notebooks provided by Databricks.
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Create your own notebooks to experiment with data.
Four other activities
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Join a Databricks community forum
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Connect with other learners and industry professionals to share knowledge and support.
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Peer Support
Show steps
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Identify relevant Databricks community forums or groups.
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Join the forums and introduce yourself.
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Ask questions, share insights, and engage in discussions.
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Attend virtual meetups or webinars organized by the community.
Build a basic data pipeline
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Apply your knowledge by building a basic data pipeline to gain practical experience.
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Data Pipeline
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Define the data sources and data destination.
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Use Databricks notebooks to extract, transform, and load data.
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Create visualizations to analyze the processed data.
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Document your pipeline for future reference and sharing.
Connect with a Databricks expert
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Seek guidance and support from experienced professionals to enhance your learning journey.
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Mentorship
Show steps
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Attend industry events or webinars.
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Reach out to professionals on LinkedIn.
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Join online communities or forums.
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Offer to assist with projects or research.
Contribute to Databricks open-source projects
Show steps
Gain real-world experience and contribute to the Databricks community.
Browse courses on
Data Analytics
Show steps
-
Identify open-source projects related to Databricks.
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Review the project documentation and code.
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Identify areas where you can contribute.
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Submit pull requests with your contributions.
Review Azure services
Show steps
Familiarize yourself with the basics of Azure services to gain a stronger foundation for the upcoming course.
Browse courses on
Azure Services
Show steps
- Review Microsoft's official documentation on Azure services.
- Watch tutorial videos on YouTube or Coursera.
- Complete the Azure Fundamentals certification course.
Learn SQL basics
Show steps
Gain a basic understanding of SQL to enhance your ability to work with data in Databricks.
Browse courses on
SQL
Show steps
- Enroll in an online SQL course on platforms like Coursera or edX.
- Follow interactive tutorials on websites like W3Schools or SQLZoo.
- Practice writing SQL queries using an online SQL editor.
Work with Databricks notebooks
Show steps
Gain hands-on experience with Databricks notebooks to enhance your practical skills.
Browse courses on
Databricks
Show steps
- Create a free Databricks community account.
- Explore the Databricks notebook interface.
- Run sample notebooks provided by Databricks.
- Create your own notebooks to experiment with data.
Join a Databricks community forum
Show steps
Connect with other learners and industry professionals to share knowledge and support.
Browse courses on
Peer Support
Show steps
- Identify relevant Databricks community forums or groups.
- Join the forums and introduce yourself.
- Ask questions, share insights, and engage in discussions.
- Attend virtual meetups or webinars organized by the community.
Build a basic data pipeline
Show steps
Apply your knowledge by building a basic data pipeline to gain practical experience.
Browse courses on
Data Pipeline
Show steps
- Define the data sources and data destination.
- Use Databricks notebooks to extract, transform, and load data.
- Create visualizations to analyze the processed data.
- Document your pipeline for future reference and sharing.
Connect with a Databricks expert
Show steps
Seek guidance and support from experienced professionals to enhance your learning journey.
Browse courses on
Mentorship
Show steps
- Attend industry events or webinars.
- Reach out to professionals on LinkedIn.
- Join online communities or forums.
- Offer to assist with projects or research.
Contribute to Databricks open-source projects
Show steps
Gain real-world experience and contribute to the Databricks community.
Browse courses on
Data Analytics
Show steps
- Identify open-source projects related to Databricks.
- Review the project documentation and code.
- Identify areas where you can contribute.
- Submit pull requests with your contributions.
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