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Microsoft Azure Data Fundamentals (DP-900) Exam Tips

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Emilio Melo

1:53:20

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  • 1. How does the DP-900 certification help me-.mp4
    01:02
  • 2. The DP-900 certification and exam.mp4
    03:18
  • 3. Core data concepts.mp4
    03:10
  • 4. Data processing concepts.mp4
    06:14
  • 5. Data analytics categories.mp4
    02:52
  • 6. Additional resources for core data concepts.mp4
    00:28
  • 7. Relational data concepts.mp4
    04:10
  • 8. On-premises hosting, IaaS, PaaS, and SaaS.mp4
    02:48
  • 9. Relational database offerings in Azure.mp4
    06:26
  • 10. Querying relational data.mp4
    08:17
  • 11. Relational data management tasks.mp4
    05:41
  • 12. Working with relational databases in Azure.mp4
    05:56
  • 13. Relational databases- Additional resources.mp4
    00:46
  • 14. Non-relational data.mp4
    04:24
  • 15. Non-relational database offerings in Azure.mp4
    06:26
  • 16. CosmosDB.mp4
    07:20
  • 17. Azure Storage.mp4
    04:30
  • 18. Working with non-relational databases in Azure.mp4
    02:22
  • 19. Non-relational databases- Additional resources.mp4
    00:47
  • 20. Understanding analytics workloads.mp4
    05:19
  • 21. Overview of modern data warehousing.mp4
    04:06
  • 22. Understanding data ingestion components.mp4
    07:29
  • 23. Understanding data analytics tools.mp4
    05:46
  • 24. Introduction to Power BI.mp4
    05:47
  • 25. Demo- Data warehousing on Microsoft Azure.mp4
    06:42
  • 26. Modern data warehousing- Additional resources.mp4
    01:14
  • Description


    Data is everywhere, and companies need it to better understand their customers and competitors and to make sound business decisions. Azure is among the best options on the market. In this course, instructor Emilio Melo covers the most important topics on the DP-900 exam, the first certification in the data path from Microsoft. Emilio explains the DP-900 certification and exam, then goes into core data concepts, such as data processing and data analytics. He goes into ways to work with relational data in Azure, including hosting options and relational database offerings in Azure. Azure also has ways to handle non-relational data, and Emilio discusses several options. He goes over analytics workloads, then concludes with insights on data warehousing in Azure and Power BI.

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    It has been a fun and exciting career so far! On these past 20+ years of IT, I have: • Worked on support, consultancy, teaching, project and department management, and sales. That allowed me to have a well-rounded, holistic view of the IT industry; • Operated on 7 distinct countries in 4 continents (Americas/Europe/Oceania/Asia), which has taught me incredibly valuable lessons on multiculturalism and adaptability, so important on today’s dynamic and globalized business environment; • Been part of companies with enormous discrepancies in size (from 10 to 400,000 employees), stages (from start-ups to centenary organizations), and industries (IT, Insurance, Finance, Travel, News…), which gave me the clarity that every company is unique in terms of organizational culture and IT needs; Lately, after so many years on the On-Premises world, I have dedicated my time and expertise to Cloud and Data Sciences (Machine Learning/AI) technologies. That's the future, on which I truly believe! The potential for cost savings, better leveraging of computing resources, and intelligent solutions are breathtaking! If you’re not yet entirely convinced of such potential, feel free to connect and invite me for a chat. I’ll be glad to share my passionate, yet not unjustified, views on these subjects. Skills: • On-Premises/Server Technologies: SharePoint (2007/2016), SharePoint Designer/Workflow, InfoPath, Workflow Manager, Office Web Server, BCS, Project Server, SQL Server, SSIS, IIS, Visio, Windows, Active Directory, Exchange, Debugging Tools, OCS/Lync; • Development: PowerShell, Display Templates, REST API, C#, SQL development, HTML, JavaScript/jQuery, CSS/Bootstrap, Web Services, LINQ, Entity Framework, XML/JSON, ASP.NET, TFS, GIT, R; • Cloud/Data Sciences: Azure VMs, Azure Tables/Blobs, Microsoft Cognitive Services, LUIS, BOT Framework, Azure ML, Power BI, Azure SQL, SQL IaaS, Google AutoML Vision; • Management: MBA, Project Management (PMP), MS Project; • Languages: Portuguese, Spanish, English;
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 26
    • duration 1:53:20
    • Release Date 2024/09/22