Скачать или смотреть DP-900 Full Course Part 3: Introduction to Azure Data Fundamentals 🌐📊

Drop a hello on social media (any collaboration)

INSTAGRAM -   / diyaw_  

LINKEDIN -   / diyaw  

GMAIL - [email protected]

00:00 – Introduction to Databases in DP-900
00:41 – What are Non-Relational Databases?
01:24 – Key Features of Non-Relational Databases
01:59 – Types of Non-Relational Databases
02:43 – Document Model
03:34 – Why Use Non-Relational Databases?
04:47 – Benefits of Non-Relational Databases
05:34 – Facebook Example for Non-Relational Databases
07:03 – Non-Relational Databases in Azure
07:41 – Azure’s Non-Relational Database Services
08:48 – Azure Storage Account Overview
10:03 – Azure Blob Storage: Introduction
10:44 – Types of Data Stored in Azure Blob Storage
12:01 – Characteristics of Azure Blob Storage
13:25 – Containers and Access Policies in Blob Storage
15:16 – Ensuring Security and Scalability in Azure Blob Storage
16:34 – Common Use Cases for Azure Blob Storage
18:45 – Azure Blob Storage API Introduction
19:29 – Types of Blob Storage: Block Blob, Page Blob, Append Blob
20:15 – Block Blob Features
22:26 – Efficiency of Block Blob for Large Files
23:07 – Best Use Cases for Block Blob Storage
24:38 – Page Blob Storage: Overview
25:18 – Common Use Cases for Page Blob Storage
26:36 – Append Blob Storage: Overview and Use Cases
(27:23) - Append Blob use case: logging, appending data.
(28:02) - Use cases: call logs, weather logs, stock data.
(28:37) - Data append behavior, logs.
(29:17) - Append Blob examples: user activities, stock data.
(29:56) - Reflecting on appending data in real-world scenarios.
(30:35) - Block, Page, Append Blob differences.
(31:20) - Storage tiers: Hot, Cool, Archive.
(32:05) - Differences between storage tiers, use cases.
(32:46) - Rehydration and Archive storage.
(33:30) - Rehydration explained: accessing Archive data.
(34:17) - Hot storage: frequently accessed data.
(35:05) - Cool storage: less frequently accessed data.
(35:46) - Archive storage: rarely accessed data.
(36:26) - Storage tiers: cost, performance, access.
(37:10) - Azure Data Lake Storage (ADLS) for big data.
(38:40) - ADLS Gen 2: scalable, hierarchical structure.
(39:22) - ADLS hierarchical data organization.
(40:02) - Data organization in ADLS Gen 2: folders, subfolders.
(40:43) - ADLS Gen 2 big data capabilities.
(41:25) - ADLS Gen 2 managing large data, security.
(42:56) - ADLS Gen 2 security: controlling data access.
(47:58) - Azure Data Lake
(48:45) - Azure Files Overview
(49:29) - Hierarchical File Storage
(50:10) - SMB Protocol
(50:55) - File Share Options
(51:38) - Cloud Storage Use
(52:19) - Benefits: Security, Scalability
(53:12) - SMB vs NFS
(54:05) - SMB for Windows
(55:27) - NFS for Linux
(56:12) - NFS: High Performance
(56:57) - SMB: Windows Focus
(57:49) - Azure Table Overview
(58:31) - Flexible Schema, Key-value
(59:12) - Scalable NoSQL Storage
(59:58) - No Fixed Data Types
(1:00:38) - Partition and Row Keys
(1:01:14) - Scalable Data Storage
(1:02:37) - Key Features Overview
(1:03:36) - Partition Key Efficiency
(1:04:24) - Improved Performance
(1:05:01) - E-commerce Example
(1:05:41) - Car Brands Partition
(1:06:29) - Row Key Uniqueness
(1:07:12) - Fast Data Access
(1:08:04) - Efficient Lookup
(1:08:38) - Car Model Example
(1:09:26) - Entity in partition
(1:10:12) - Partition keys example
(1:11:03) - Partition key organization
(1:11:42) - Choosing storage solution
(1:12:30) - Azure Blob storage
(1:13:21) - Blob storage use case
(1:14:05) - ADLs Gen 2 overview
(1:14:43) - ADLs Gen 2 use case
(1:15:22) - Azure File storage
(1:16:01) - File sharing scenario
(1:16:38) - Azure Table storage
(1:17:14) - Table storage use case
(1:18:02) - Storage summary
(1:18:49) - Azure Storage Account
(1:19:30) - Storage Account use
(1:20:03) - Storage Resource Groups
(1:20:48) - Storage decision guide
(1:21:28) - Storage service conclusion
(1:22:11) - Lift-and-shift mechanism
(1:22:55) - Relational vs Non-relational
(1:23:33) - Toy company use case
(1:24:13) - Inventory system with SQL
(1:24:54) Introduction to Cosmos DB
(1:25:44) Cosmos DB vs SQL
(1:26:36) What is Cosmos DB
(1:27:29) Global Distribution
(1:28:07) Handling Data
(1:28:57) High Availability
(1:30:39) Elastic Scalability
(1:31:18) Low Latency
(1:31:59) Consistency Models
(1:32:41) Features Recap
(1:34:08) Ecommerce Use Case
(1:35:37) Multimodal Support
(1:36:25) Cosmos DB Advantage
(1:39:14) Data Interaction
(1:40:47) Flexibility for Data
(1:41:29) Low Latency Performance
(1:42:11) Storage vs Cosmos DB
(1:42:57) When to Use Storage
(1:44:22) When to Use Cosmos DB
(1:45:42) Real-time Data Access
(1:46:29) Choosing Between Storage
(1:47:20) Cloud Tools Selection
(1:48:11) Azure Cosmos DB Overview
(1:48:54) Multi-model APIs
(1:49:47) API Choices for Data Models
(1:50:39) SQL vs MongoDB API
(1:51:36) Cassandra API for Columns
(1:52:24) Graph API: Gremlin