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Unlock the power of Azure's data engineering and analytics ecosystem by joining our comprehensive 3-day workshop. This hands-on, immersive experience covers Azure Databricks, Azure Data Factory (ADF), Azure Synapse Analytics, and Azure Data Explorer (ADX) to help you harness the potential of data-driven decision-making. Learn from industry experts, who will guide you through practical use cases and best practices for data processing, transformation, analysis, and visualization. By attending this workshop, you'll acquire essential skills to create robust and scalable data pipelines, fueling innovation and growth for your organization. Don't miss this incredible opportunity to elevate your data engineering expertise and gain a competitive edge. Secure your spot today and transform your data into actionable insights!

Objective: This workshop aims to provide attendees with the necessary knowledge and hands-on experience to effectively utilize Azure Databricks, Azure Data Factory (ADF), Azure Synapse Analytics, and Azure Data Explorer (ADX) for data engineering and analytics tasks.

Duration: 3 days

Day 1:

1. Introduction (1 hour) Welcome and overview of the workshop, Introduction to Azure Databricks, ADF, Synapse, and ADX, Importance of data engineering and analytics in modern applications
2. Azure Databricks (3 hours) Introduction to Azure Databricks, Databricks workspace and cluster management, Data processing and analysis using Databricks notebooks, Data storage and Delta Lake
3. Hands-on Lab: Working with Azure Databricks (1.5 hours) Set up an Azure Databricks workspace and cluster, Data processing and analysis using Databricks notebooks, Working with Delta Lake for data storage

Day 2:

1. Azure Data Factory (ADF) (3 hours) Introduction to Azure Data Factory, ADF components and architecture, Creating and managing pipelines, Data movement and transformation with ADF
2. Hands-on Lab: Working with Azure Data Factory (1.5 hours) Set up an Azure Data Factory instance, Creating and managing data pipelines, Data movement and transformation tasks
3. Azure Synapse Analytics (3 hours) Introduction to Azure Synapse Analytics, Synapse workspace and components, Data warehousing and integration with ADF, Data processing and analysis with Synapse
4. Hands-on Lab: Working with Azure Synapse Analytics (1.5 hours) Set up an Azure Synapse Analytics workspace, Integrating Synapse with Azure Data Factory, Data processing and analysis using Synapse

Day 3: 

1. Azure Data Explorer (ADX) (3 hours) Introduction to Azure Data Explorer, ADX cluster and data ingestion, Data querying and visualization with Kusto Query Language (KQL), Integration with ADF and Synapse
2. Hands-on Lab: Working with Azure Data Explorer (1.5 hours) Set up an Azure Data Explorer cluster, Ingesting data and querying with KQL, Integration with ADF and Synapse
3. Hands-on Lab: End-to-End Data Engineering and Analytics Solution (2 hours) Design and implement a real-world data engineering and analytics use case using Databricks, ADF, Synapse, and ADX, Test and demonstrate the solution
4. Closing Remarks and Q&A (1 hour) Workshop wrap-up and next steps, Open discussion and Q&A