| 01 - Exam DP-900 Microsoft Azure Data Fundamentals Introduction.en.srt | 8.4 KB | ||
| 01 - Exam DP-900 Microsoft Azure Data Fundamentals Introduction.mp4 | 14.9 MB | ||
| 02 - Module 1 Describe core data concepts.en.srt | 1.3 KB | ||
| 02 - Module 1 Describe core data concepts.mp4 | 2.5 MB | ||
| 03 - Learning objectives.en.srt | 307.2 B | ||
| 03 - Learning objectives.mp4 | 715.2 KB | ||
| 04 - Describe features of structured data.en.srt | 14 KB | ||
| 04 - Describe features of structured data.mp4 | 20.2 MB | ||
| 05 - Describe features of semi-structured data.en.srt | 10.1 KB | ||
| 05 - Describe features of semi-structured data.mp4 | 15.4 MB | ||
| 06 - Describe features of unstructured data.en.srt | 2 KB | ||
| 06 - Describe features of unstructured data.mp4 | 3.3 MB | ||
| 07 - Learning objectives.en.srt | 307.2 B | ||
| 07 - Learning objectives.mp4 | 781.7 KB | ||
| 08 - Describe common formats for data files.en.srt | 7.1 KB | ||
| 08 - Describe common formats for data files.mp4 | 9.7 MB | ||
| 09 - Describe types of databases.en.srt | 23.3 KB | ||
| 09 - Describe types of databases.mp4 | 35 MB | ||
| 10 - Learning objectives.en.srt | 307.2 B | ||
| 10 - Learning objectives.mp4 | 794 KB | ||
| 11 - Describe features of transactional workloads.en.srt | 8.7 KB | ||
| 11 - Describe features of transactional workloads.mp4 | 12.3 MB | ||
| 12 - Describe features of analytical workloads.en.srt | 16.5 KB | ||
| 12 - Describe features of analytical workloads.mp4 | 18.9 MB | ||
| 13 - Learning objectives.en.srt | 512 B | ||
| 14 - Describe responsibilities for database administrators.en.srt | 2.8 KB | ||
| 14 - Describe responsibilities for database administrators.mp4 | 4 MB | ||
| 15 - Describe responsibilities for data engineers.en.srt | 1.3 KB | ||
| 15 - Describe responsibilities for data engineers.mp4 | 2.1 MB | ||
| 16 - Describe responsibilities for data analysts.en.srt | 3.1 KB | ||
| 16 - Describe responsibilities for data analysts.mp4 | 4.2 MB | ||
| 17 - Module 2 Identify considerations for relational data on Azure.en.srt | 1 KB | ||
| 17 - Module 2 Identify considerations for relational data on Azure.mp4 | 2.1 MB | ||
| 18 - Learning objectives.en.srt | 409.6 B | ||
| 19 - Identify features of relational data.en.srt | 6.9 KB | ||
| 19 - Identify features of relational data.mp4 | 9.8 MB | ||
| 20 - Describe normalization and why it is used.en.srt | 10.3 KB | ||
| 20 - Describe normalization and why it is used.mp4 | 13.1 MB | ||
| 21 - Identify common structured query language (SQL) statements.en.srt | 11.9 KB | ||
| 21 - Identify common structured query language (SQL) statements.mp4 | 19.2 MB | ||
| 22 - Identify common database objects.en.srt | 8.9 KB | ||
| 22 - Identify common database objects.mp4 | 13.9 MB | ||
| 23 - Learning objectives.en.srt | 614.4 B | ||
| 23 - Learning objectives.mp4 | 1.3 MB | ||
| 24 - Describe the Azure SQL family of products including Azure SQL Database, Azure SQL Managed In.en.srt | 13.1 KB | ||
| 24 - Describe the Azure SQL family of products including Azure SQL Database, Azure SQL Managed In.mp4 | 19.6 MB | ||
| 25 - Identify Azure Database services for open-source database systems.en.srt | 6.4 KB | ||
| 25 - Identify Azure Database services for open-source database systems.mp4 | 9 MB | ||
| 26 - Module 3 Describe considerations for working with non-relational data on Azure.en.srt | 716.8 B | ||
| 26 - Module 3 Describe considerations for working with non-relational data on Azure.mp4 | 1.6 MB | ||
| 27 - Learning objectives.en.srt | 409.6 B | ||
| 27 - Learning objectives.mp4 | 919.3 KB | ||
| 28 - Describe Azure Blob storage.en.srt | 7.1 KB | ||
| 28 - Describe Azure Blob storage.mp4 | 8.3 MB | ||
| 29 - Describe Azure File storage.en.srt | 3.7 KB | ||
| 29 - Describe Azure File storage.mp4 | 5.2 MB | ||
| 30 - Describe Azure Table storage.en.srt | 4.1 KB | ||
| 30 - Describe Azure Table storage.mp4 | 5.2 MB | ||
| 31 - Learning objectives.en.srt | 409.6 B | ||
| 31 - Learning objectives.mp4 | 929.9 KB | ||
| 32 - Identify use cases for Azure Cosmos DB.en.srt | 4.1 KB | ||
| 32 - Identify use cases for Azure Cosmos DB.mp4 | 6.1 MB | ||
| 33 - Describe Azure Cosmos DB APIs.en.srt | 5.4 KB | ||
| 33 - Describe Azure Cosmos DB APIs.mp4 | 8.8 MB | ||
| 34 - Module 4 Describe an analytics workload on Azure.en.srt | 1.6 KB | ||
| 34 - Module 4 Describe an analytics workload on Azure.mp4 | 3.1 MB | ||
| 35 - Learning objectives.en.srt | 716.8 B | ||
| 35 - Learning objectives.mp4 | 1.5 MB | ||
| 36 - Describe considerations for data ingestion and processing.en.srt | 11.7 KB | ||
| 36 - Describe considerations for data ingestion and processing.mp4 | 16.4 MB | ||
| 37 - Describe options for analytical data stores.en.srt | 12.6 KB | ||
| 37 - Describe options for analytical data stores.mp4 | 15.7 MB | ||
| 38 - Describe Azure services for data warehousing.en.srt | 6.7 KB | ||
| 38 - Describe Azure services for data warehousing.mp4 | 11.2 MB | ||
| 39 - Learning objectives.en.srt | 512 B | ||
| 39 - Learning objectives.mp4 | 975.3 KB | ||
| 40 - Describe the difference between batch and streaming data.en.srt | 10.4 KB | ||
| 40 - Describe the difference between batch and streaming data.mp4 | 12.1 MB | ||
| 41 - Identify Microsoft cloud services for real-time analytics.en.srt | 2.2 KB | ||
| 41 - Identify Microsoft cloud services for real-time analytics.mp4 | 2.9 MB | ||
| 42 - Learning objectives.en.srt | 409.6 B | ||
| 43 - Identify the capabilities of Power BI.en.srt | 19.2 KB | ||
| 43 - Identify the capabilities of Power BI.mp4 | 21.5 MB | ||
| 44 - Describe the features of data models in Power BI.en.srt | 7.1 KB | ||
| 44 - Describe the features of data models in Power BI.mp4 | 9.2 MB | ||
| 45 - Identify appropriate visualizations for data.en.srt | 16.8 KB | ||
| 45 - Identify appropriate visualizations for data.mp4 | 20.9 MB | ||
| 46 - Exam DP-900 Microsoft Azure Data Fundamentals Summary.en.srt | 5.3 KB | ||
| 46 - Exam DP-900 Microsoft Azure Data Fundamentals Summary.mp4 | 10.7 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 91 total files | |||
Microsoft Azure Data Fundamentals (DP-900) Cert Prep by Microsoft Press
https://DevCourseWeb.com
Released 8/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 3h 11m | Size: 400 MB
Boost your career as a data science professional by preparing for the Microsoft Azure Data Fundamentals (DP-900) exam. In this cert prep course from Microsoft Press, thought leader and data coach Chris Sorenson unpacks the core concepts and technical skills covered by the exam, including data representation, data storage, common data workloads, roles and responsibilities, relational concepts and services, Azure Cosmos DB, large-scale analytics, and data visualization in Power BI. An ideal fit for new and existing data professionals, this course helps to prepare you to successfully tackle the exam.
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