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Azure Data Engineering Introduction
01:24:09
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Traditional On-Premises Deployment vs. Cloud Services
01:15:23
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Azure Data Factory Simplifying Data Movement and Transformation
01:08:19
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Understanding Azure Data Factory
01:02:38
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Introduction to Azure Portal
01:06:02
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Creating Cloud Storage Accounts
01:06:39
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Implementing Metadata-Driven Data Movement from Blob to Data Lake
58:42
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Large-scale data copying pipeline.
01:04:40
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Creating linked services in Azure.
01:00:32
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Creating an Azure DataBrick Service Exploring Spark Architecture and Differences
34:45
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Pipeline activities and metadata explained.
52:09
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Data Validation and Copy using Azure Data Factory Service
51:46
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13-P1 – Moving data from HTTP to ADLs
58:39
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13-P2-Loading Multiple Files from Blob Storage to Delimited Text File Target
49:50
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Iterating and Moving Multiple Files with Azure Data Factory
58:39
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Moving Data from SQL to Data Lake and Vice Versa
58:52
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Essentials of SQL Database Creation and Connectivity
01:11:09
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Moving Multiple Tables from Azure SQL Database to Data Lake
52:39
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Maximizing Your Pipeline Efficiency with Tumbling Window-Based Triggers
50:47
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Introduction to Azure Key Vault and its role in securing credentials
52:41
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Securely Configuring Authentication for Azure Data Factory
01:05:43
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Understanding Authentication Types for Securing Azure Data Factory
55:36
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Managing Pipelines and Environments with Code Repositories
56:42
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Configuring Azure Data Factory with Azure DevOps and GitHub Repositories
51:06
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Introduction to Data Flows and Transformations in ADF
57:37
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Exploring Data Flows in Azure Data Factory
01:04:43
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Exploring Data Transformations in Pipeline A Practical Guide
35:22
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Using Conditional Split Transformation in Data Flow
49:34
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Data Set Comparison Using the Exist Transformation in Data Flows
48:36
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Derived Column Transformation in Data Flows
47:29
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Mastering Data Flows and Transformations
48:40
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How to Unpivot Data in Azure A Step-by-Step Guide
56:41
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Union vs. Union All Transformations
50:58
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Troubleshooting Common Errors in ADF Mapping Data Flows
53:34
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Authentication Methods for Azure Data Lake Gen2 Link Services
50:29
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Debugging and Testing Data Flows for Improved Efficiency
50:45
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Pre and Post-Copy Scripts Best Practices for Loading Data into a Data Lake
39:42
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Azure Databricks for Efficient Big Data Transformations
59:52
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Transforming Big Data with Azure Databricks
49:23
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Maximizing Performance and Efficiency with Azure Databricks
52:51
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Connecting to Blob Storage
42:36
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Mastering Pi Spark API for Effective Data Analysis
48:24
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Databricks and Azure Storage Integration
42:36
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Efficient Data Storage and Management with Databricks and ADF
50:09
