Data Fundamentals Online Training

Focused View

Ben Finkel

8:01:20

150 View

1. Describe Types of Core Data Workloads.mp4

01:27

2. Understanding Relational Data.mp4

09:08

3. Understanding NoSQL Data.mp4

07:49

4. Relational Data vs. NoSQL.mp4

08:25

5. Processing Batch Data.mp4

06:46

6. Processing Streaming Data.mp4

06:02

7. Data Storage and Processing in The Cloud.mp4

08:13

8. Describe Relational Azure Data Services.mp4

02:21

9. Comparing IaaS, PaaS, and SaaS.mp4

09:50

10. Understanding Azure SQL Database.mp4

08:03

11. SQL Server on Azure Virtual Machines.mp4

05:46

12. Azure SQL Managed Instance.mp4

05:19

13. Azure Database MySQL, MariaDB, and PostgreSQL.mp4

07:06

14. Azure Synapse Analytics.mp4

08:05

15. Review Relational Azure Data Services.mp4

03:40

16. Recognizing the Right Workloads for Relational DBs.mp4

08:31

17. Understanding Tables and Fields.mp4

08:16

18. Understanding Queries and Views.mp4

06:52

19. Indexing Tables.mp4

06:04

20. Using DDL and DML.mp4

06:31

21. Querying Azures Relational DBs.mp4

09:29

22. Advanced Charting.mp4

05:09

23. Analytics Techniques.mp4

08:12

24. OLTP vs OLAP Databases.mp4

07:34

25. Moving Data with ETL and ELT.mp4

09:48

26. Describe Data Analytics Core Concepts Summary.mp4

01:21

27. Provisioning and Deploying Relational Azure Services.mp4

09:07

28. Deploying Azure SQL Database.mp4

12:13

29. Deploying an Azure PostgreSQL Database.mp4

11:15

30. Azure SQL Querying Tools.mp4

09:46

31. Deploying with Resource Manager.mp4

06:56

32. Cleaning up Azure Deployments.mp4

02:37

33. Structured Query Language (SQL) Introduction.mp4

06:24

34. Adding Data with Insert.mp4

07:40

34. Retrieving Data with Select.mp4

06:49

36. Change and Remove Data with Update and Delete.mp4

06:46

37. Filtering Data With the Where Clause.mp4

06:50

38. Literals and Wildcards.mp4

07:33

39. Combine Multiple Tables with Join.mp4

06:08

40. Creating Tables with DDL.mp4

07:32

41. SQL Introduction Summary.mp4

01:54

42. Non-Relational Data Workloads.mp4

02:06

43. Recognizing Non-Relational Data Workloads.mp4

08:14

44. Comparing IaaS, PaaS, and SaaS.mp4

06:13

45. Non-Relational Data Structures.mp4

12:26

46. Azure Cosmos DB.mp4

07:30

47. Azure Storage Tables.mp4

07:44

48. Azure Storage Blobs, Files, and Disks.mp4

08:49

49. Provisioning and Deploying Non-Relational.mp4

04:23

50. Deploying an Azure Cosmos DB.mp4

10:50

51. Understanding Cosmos Consistency.mp4

08:59

52. Deploying Azure Storage Accounts.mp4

12:47

53. Securing and Accessing Non-Relational Data.mp4

13:47

54. Understanding Azure Data Lake.mp4

12:01

55. Understanding Azure Synapse Analytics.mp4

10:12

56. Understanding Databricks and HDInsight.mp4

05:59

57. Understanding Azure Data Factory.mp4

09:46

58. Architecting Data Solutions.mp4

07:30

59. Describe Data Visualization in PowerBI.mp4

05:00

60. Building a Paginated Report.mp4

07:49

61. Understanding PowerBI Dashboards.mp4

08:18

62. Data Viz in PowerBI.mp4

10:29

63. Transforming Data with Power Query.mp4

13:12

64. Describe Data Visualization in PowerBI Summary.mp4

01:59

Description

This entry-level Microsoft Data Fundamentals training prepares learners to take the DP-900 exam, which is the one required exam to earn the Data Fundamentals certification.

It is unquestionably the era of data. We've left behind the era when companies simply collected a lot of data while they made and sold their products — now entire businesses and industries have sprung up around data as a product itself.

More details

Microsoft Azure is a suite of Microsoft cloud computing products that let companies build, test, deploy and manage applications and services around data. For an organization to maximize its use of data, it needs trained cloud administrators who understand data and the tools for manipulating it.

This Data Fundamentals training prepares you for Microsoft's Azure Data Fundamentals certification by explaining relational and non-relational data, different data workloads and the core concepts of data in the cloud.

For anyone with cloud administrators on their team, this Microsoft training can be used for DP-900 exam prep, onboarding new cloud administrators, individual or team training plans, or as a Microsoft reference resource.

Data Fundamentals: What You Need to Know

This Data Fundamentals training covers DP-900 Azure databases exam objectives, including these topics:

Naming and understanding the core concepts of digitized data
Describing the difference between working with relational and non-relational data
Thinking and working with analytics workloads on Azure
Using Microsoft Azure's tools and resources for managing and analyzing data

Who Should Take Data Fundamentals Training?

This Data Fundamentals training is considered specialist-level Microsoft training, which means it was designed for cloud administrators. This Azure databases skills course is valuable for new IT professionals with at least a year of experience with data structures and storage and experienced cloud administrators looking to validate their Microsoft skills.

New or aspiring cloud administrators. If you're brand new to cloud administration, understanding what data looks like in the cloud is essential to your future career. Don't wait until someone asks you to explain the difference between Blob storage and SQL to learn. Get ahead of the game and prepare yourself for a career in the cloud with this Data Fundamentals training.

Experienced cloud administrators. If you've been working as a cloud administrator for several years already and you're looking for certifications to advance your career with, consider the Microsoft Certified: Azure Data Fundamentals. A cloud administrator who's certified in data management becomes a double threat -- capable of managing systems and manipulating the data being stored on them. Deepen your strengths with this Data Fundamentals training.

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Ben Finkel

Instructor's Courses

"The best part about being a trainer is learning all of these great new technologies, and working with a community of people who are all passionate about learning, and just generally being a part of a culture that values learning the way I do. I love sitting down and working through an involved or complex topic so that I can competently speak about it on screen."

Ben Finkel has worked in software development since 1996. Before joining CBT Nuggets, he was a software engineer at M&T Bank in Buffalo, New York. He is a Google Certified Trainer. When he’s not creating CBT Nuggets training videos, Ben enjoys skiing, snowboarding, reading, and home brewing beer and cider. He also considers himself a hobbyist programmer and likes learning new development technologies.

Certifications: Google, Microsoft

Areas of expertise: Google Developer Expert, Google Certified Trainer, Microsoft ASP.NET (WebForms and MVC), Data Analysis and Design, Relational Database Architecture, MS SQL Server, Microsoft C#.NET, Javascript, jQuery, Microsoft Visual Basic .NET & 6.0, .NET Reporting Services, MS Access, Python

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