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399.06 MB | 00:17:04 | mp4 | 1280X720 | 16:9
Genre: eLearning | Language : English
Files Included :
01 - Exam DP-900 Microsoft Azure Data Fundamentals Introduction (14.95 MB)
02 - Module 1 Describe core data concepts (2.49 MB)
03 - Learning objectives (715.22 KB)
04 - Describe features of structured data (20.2 MB)
05 - Describe features of semi-structured data (15.43 MB)
06 - Describe features of unstructured data (3.26 MB)
07 - Learning objectives (781.67 KB)
08 - Describe common formats for data files (9.67 MB)
09 - Describe types of databases (35.01 MB)
10 - Learning objectives (794 KB)
11 - Describe features of transactional workloads (12.28 MB)
12 - Describe features of analytical workloads (18.85 MB)
13 - Learning objectives (1001.14 KB)
14 - Describe responsibilities for database administrators (4.01 MB)
15 - Describe responsibilities for data engineers (2.1 MB)
16 - Describe responsibilities for data analysts (4.16 MB)
17 - Module 2 Identify considerations for relational data on Azure (2.13 MB)
18 - Learning objectives (1013.47 KB)
19 - Identify features of relational data (9.76 MB)
20 - Describe normalization and why it is used (13.15 MB)
21 - Identify common structured query language (SQL) statements (19.19 MB)
22 - Identify common database objects (13.87 MB)
23 - Learning objectives (1.33 MB)
24 - Describe the Azure SQL family of products including Azure SQL Database, Azure SQL Managed In (19.57 MB)
25 - Identify Azure Database services for open-source database systems (9 MB)
26 - Module 3 Describe considerations for working with non-relational data on Azure (1.63 MB)
27 - Learning objectives (919.28 KB)
28 - Describe Azure Blob storage (8.29 MB)
29 - Describe Azure File storage (5.18 MB)
30 - Describe Azure Table storage (5.17 MB)
31 - Learning objectives (929.92 KB)
32 - Identify use cases for Azure Cosmos DB (6.1 MB)
33 - Describe Azure Cosmos DB APIs (8.81 MB)
34 - Module 4 Describe an analytics workload on Azure (3.05 MB)
35 - Learning objectives (1.54 MB)
36 - Describe considerations for data ingestion and processing (16.36 MB)
37 - Describe options for analytical data stores (15.72 MB)
38 - Describe Azure services for data warehousing (11.19 MB)
39 - Learning objectives (975.3 KB)
40 - Describe the difference between batch and streaming data (12.11 MB)
41 - Identify Microsoft cloud services for real-time analytics (2.94 MB)
42 - Learning objectives (1016.68 KB)
43 - Identify the capabilities of Power BI (21.49 MB)
44 - Describe the features of data models in Power BI (9.16 MB)
45 - Identify appropriate visualizations for data (20.93 MB)
46 - Exam DP-900 Microsoft Azure Data Fundamentals Summary (10.74 MB)
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