1)What is Databricks SQL? 2)What is Databricks Data Science Data Engineering Workspace 3)What is Databricks Machine Learning? 4)Fundamentals of the Databricks Lakehouse Platform Accreditation 5)Databricks Architecture and Services 6)Create and Manage Interactive Clusters 7)Notebook Versioning and Databricks Repos 8)What is Delta Lake and Managing Delta Tables 9)Manipulating tables with Delta Lake 10)Advanced Delta and Delta Lab 11)Relational Entities 12)Database and Views 13)ETL with Spark SQL 14)Optional DataProcessing 15)MultiHop Processing 16)Delta Live Tables 17)Task Orhestration with Databricks Jobs 18)Architecture of Lakehouse 19)Broze Ingestion Patterns 20)Promoting to Silver 21)Gold Query Layer 22)Storing Data Securly 23)Propagating Updates and Deletes 24)Orchestration and Secheduling 25)Conclusion

Benefits: 1)Monetize the content: 2)Building and making resume as per the Market. 3)Interview Questions. Career Path. 1)How to crack and get certified with AZ-900, DP-900, AZ-104, DP-203. Real Time Project Overview 2)Learning from scratch. 3)Certification 4)Live Recording of All session 

Tutor Information:
Technologies in which I provide training are:
☁️ Cloud: Azure
☁️ Cloud Tools: Azure Data Factory, Azure Syanpse Analytics, Azure Databricks, Azure Data Lake, Azure Analysis Service, Azure DevOps, Azure Key Vault, Azure Active Directory.
💬Language: SQL, Python, PySpark, SparkSQL, R, SAS, Dash.
👨‍💻 Databases: SQL Server, Azure Syanpase, Azure SQL Database
⚙️ Data Integration/ETL: SAP HANA, Dyanmics 365, EPM Onyx, QAD
📊 BI/Visualization: PowerBI, Excel
🤖 Machine learning - Jupyter Notebook, Python, Pandas, Numpy, Statistics, Probablity.