𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗗𝗲𝗽𝘁𝗵𝘀 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 🏘💡

 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗗𝗲𝗽𝘁𝗵𝘀 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 🏘💡

Learn about the intricacies of Data Warehousing and the key components that shape this dynamic landscape:

📄 𝗗𝗮𝘁𝗮 𝗦𝗼𝘂𝗿𝗰𝗲𝘀:
• OLTP (Online Transaction Processing): Real-time transaction processing.
• Flat Files: Text-based files serving as data sources.
• ERP/CRM: Integration of Enterprise Resource Planning and Customer Relationship Management data.

⚙ 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴:
• ELT (Extract, Load, Transform): Critical process of collecting, loading, and transforming data.
• Staging Data: Temporary storage for processed data before integration.

🔄 𝗗𝗮𝘁𝗮 𝗦𝘁𝗼𝗿𝗮𝗴𝗲:
• Raw Data: Unprocessed foundation for transformation.
• Summary Data: Aggregated and condensed data for quick insights.
• Metadata: Crucial information about stored data.
• Data Marts: Specialized subsets catering to specific business needs.

📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀:
• OLAP (Online Analytical Processing): Empowers dynamic, multidimensional analysis.
• Data Mining: Extracting patterns and knowledge from large datasets.
• Analysis: In-depth examination of data for trends, patterns, and insights.
• Reporting: Communicating findings through comprehensive reports.