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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