𝗣𝗿𝗲-𝗿𝗲𝗾𝘂𝗶𝘀𝗶𝘁𝗲𝘀

• SQL
• PL/SQL (Stored Functions, Stored Procedures, Indexes)
• Python
• Spark (PySpark, Spark SQL)

𝗔𝘇𝘂𝗿𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀

• Azure Data Factory
• Azure Databricks
• Azure Synapse
• Azure Functions
• Azure Storage
• Azure Data Lake
• End-to-End Security with Azure Synapse Analytics
  • Data Encryption
  • Data Masking
  • Row-Level and Column-Level Security
  • Role-Based Access Control (RBAC)
• Real-Time Stream Processing with Stream Analytics
  • Event Hubs
  • Batch Processing
  • Real-Time Processing

𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 (At least 2)

1. Data Ingestion End-to-End Pipeline: using Azure Storage (e.g., Azure SQL)
2. Data Ingestion End-to-End Pipeline: using File Storage and Synapse Views

𝗔𝗧𝗦-𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝘁 𝗥𝗲𝘀𝘂𝗺𝗲

• Score: 80+

𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻

• Fundamental Concepts: Master both basic and advanced topics as outlined above.
• Scenario-Based Questions: Solve at least 100+ questions.

• Mock Interviews: Practice regularly.

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