Exam DP 900 Microsoft Azure Data Fundamentals Full Course - #ExamDP900MicrosoftAzureData
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**Introduction**
**0:00:00 Exam DP-900: Microsoft Azure Data Fundamentals: Introduction**
**Module 1: Describe Core Data Concepts**
**0:03:47 Module introduction**
**Lesson 1: Describe Types of Core Data Workloads**
**0:04:23 1.1 Learning objectives**
**0:04:50 1.2 Describe batch data**
**0:06:25 1.3 Describe streaming data**
**0:08:21 1.4 Describe the difference between batch and streaming data**
**0:09:57 1.5 Describe the characteristics of relational data**
**Lesson 2: Describe Data Analytics Core Concepts**
**0:20:48 Learning objectives**
**0:21:19 2.1 Describe data visualization**
**0:25:18 2.2 Describe basic chart types**
**0:35:09 2.3 Describe analytics techniques**
**0:39:30 2.4 Describe ELT and ETL processing**
**0:42:11 2.5 Describe the concepts of data processing**
**0:44:38 Coffee Break**
**Module 2: Describe How to Work with Relational Data on Azure**
**0:44:53 Module introduction**
**0:45:26 Learning objectives**
**0:45:48 3.1 Identify the right data offering for a relational workload**
**0:51:44 3.2 Describe relational data structures**
**Lesson 4: Describe Relational Azure Data Services**
**1:02:04 Learning objectives**
**1:02:35 4.1 Describe Azure SQL family of products**
**1:09:28 4.2 Describe Azure Synapse Analytics**
**1:15:40 4.3 Describe Azure Database for PostgreSQL, Azure Database for MariaDB, and Azure Database for MySQL**
**Lesson 5: Identify Basic Management Tasks for Relational Data**
**1:20:23 Learning objectives**
**1:20:51 5.1 Describe provisioning and deployment of relational data services**
**1:27:47 5.2 Describe method for deployment**
**1:32:07 5.3 Identify data security components**
**1:39:14 5.4 Identify basic connectivity issues**
**Lesson 6: Describe Query Techniques for Data Using SQL Language**
**1:40:52 Learning objectives**
**1:41:19 6.1 Compare Data Definition Language (DDL) versus Data Manipulation Language (DML)**
**1:49:43 6.2 Query relational data in Azure**
**1:54:01 Coffee Break**
**1:54:16 Module introduction**
**Lesson 7: Describe Non-relational Data Workloads**
**1:54:46 Learning objectives**
**1:55:15 7.1 Describe the characteristics of non-relational data**
**1:58:57 7.2 Describe the types of non-relational and NoSQL data**
**2:06:22 7.3 Recommend the correct data store**
**2:13:16 7.4 Determine when to use non-relational data**
**Lesson 8: Describe Non-relational Data Offerings on Azure**
**2:15:07 Learning objectives**
**2:15:39 8.1 Identify Azure data services for non-relational workloads**
**2:17:28 8.2 Describe Azure Cosmos DB APIs**
**2:27:04 8.3 Describe Azure Table Storage**
**2:35:12 8.4 Describe Azure Blob Storage**
**2:42:43 8.5 Describe Azure File Storage**
**Lesson 9: Identify Basic Management Tasks for Non-relational Data**
**2:49:38 Learning objectives**
**2:50:14 9.1 Describe provisioning and deployment of non-relational data services**
**2:51:45 9.2 Describe method for deployment**
**2:59:18 9.3 Identify data security components**
**3:01:12 9.4 Identify basic connectivity issues**
**3:02:51 9.5 Identify management tools for non-relational data**
**3:04:34 Module introduction**
**Lesson 10: Describe Analytics Workloads**
**3:05:23 Learning objectives**
**3:05:53 10.1 Describe transactional workloads**
**3:16:54 10.2 Describe the difference between a transactional and an analytics workload**
**3:27:45 10.3 Describe the difference between batch and real time**
**3:34:14 10.4 Describe data warehousing workloads**
**3:37:53 10.5 Determine when a data warehouse solution is needed**
**3:42:05 Coffee Break**
**Lesson 11: Describe the Components of a Modern Data Warehouse**
3:42:20 Learning objectives
3:42:43 11.1 Describe Azure data services for modern data warehousing
3:48:05 11.2 Describe modern data warehousing architecture and workload
*Lesson 12: Describe Data Ingestion and Processing on Azure*
3:50:36 Learning objectives
3:51:00 12.1 Describe common practices for data loading
3:53:33 12.2 Describe the components of Azure Data Factory
3:55:17 12.3 Describe data processing options
*Lesson 13: Describe Data Visualization in Microsoft Power BI*
*3:56:21 Learning objectives*
3:56:48 13.1 Describe the workflow in Power BI
4:05:33 13.2 Describe the role of interactive reports
4:12:46 13.3 Describe the role of dashboards
4:18:40 13.4 Describe the role of paginated reporting
4:23:45 Coffee Break
*Summary*
4:24:00 Exam DP-900: Microsoft Azure Data Fundamentals
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