Mastering SQL and Data Integration

  • Step 1: SQL Foundations
  • Learn SQL syntax: SELECT, WHERE, JOIN, GROUP BY
  • Practice querying on sample databases
  • Understand normalization and schema design
  • Step 2: Advanced SQL
  • Work with subqueries, window functions, CTEs
  • Optimize queries and indexes for performance
  • Use transactions, stored procedures, and triggers
  • Step 3: Data Integration Tools
  • Learn ETL concepts and tools (Talend, SSIS, Apache Airflow)
  • Integrate data from multiple sources (CSV, API, DB)
  • Handle data cleansing and transformation
  • Step 4: Project Development
  • Create dashboards with real-time SQL data
  • Automate data updates and reporting flows
  • Work with BI tools like Power BI or Looker Studio
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