0:00 | Introduction
1:15 | Technical architecture for demonstration
2:20 | Creating Azure CosmosDB API for MongoDB resource
3:06 | Provisioned throughput vs. serverless
4:05 | CosmosDB global distribution
5:30 | Data Explorer, creating database & collection
8:07 | Python application feed into CosmosDB
11:19 | Creating a virtual network
14:23 | Creating Azure Databricks Resource
14:59 | Databricks workspace VNet Injection
17:07 | Service Endpoint creation
18:54 | Creating a cluster, configuring the cluster with MongoDB connection parameters
20:31 | Installing mongo-spark from Maven
22:05 | Creating notebook/SparkSession/Configuration parameters
23:36 | Read CosmosDB
25:06 | Databricks Partner Connect
25:37 | Uploading Spark Data into Hive Metastore
26:43 | Downloading connection file & working with PowerBI
----
Documentation:
Introduction to CosmosDB: What is Azure Cosmos DB? | Azure Cosmos DB Essentials Season 1 - • Azure Cosmos DB Essent...
Databricks VNet Injection: Deploy Azure Databricks in your Azure virtual network (VNet injection) - Azure Databricks | learn.microsoft.com/en-us/azu...
Partner Connect: What is Databricks Partner Connect? - Azure Databricks | learn.microsoft.com/en-us/azu...
Using Python with CosmosDB: Get started using Azure Cosmos DB API for MongoDB and Python | learn.microsoft.com/en-us/azu...
Негізгі бет Ғылым және технология Azure Cosmos DB API for MongoDB using Spark & Partner Connect Through Databricks & PowerBI
Пікірлер: 9