Understand the power of Data Lakehouse Architecture for 𝗙𝗥𝗘𝗘 here...
🚨𝗢𝗹𝗱 𝘄𝗮𝘆
• Complicated ETL processes for data integration.
• Silos of data storage, separating structured and unstructured data.
• High data storage and management costs in traditional warehouses.
• Limited scalability and delayed access to real-time insights.
✅𝗡𝗲𝘄 𝗪𝗮𝘆
• Streamlined data ingestion and processing with integrated SQL capabilities.
• Unified storage layer accommodating both structured and unstructured data.
• Cost-effective storage by combining benefits of data lakes and warehouses.
• Real-time analytics and high-performance queries with SQL integration.
The shift?
Unified Analytics and Real-Time Insights > Siloed and Delayed Data Processing
Leveraging SQL to manage data in a data lakehouse architecture transforms how businesses handle data.
Data Engineering Interview Preparation Resources: https://topmate.io/analyst/910180
All the best 👍👍
🚨𝗢𝗹𝗱 𝘄𝗮𝘆
• Complicated ETL processes for data integration.
• Silos of data storage, separating structured and unstructured data.
• High data storage and management costs in traditional warehouses.
• Limited scalability and delayed access to real-time insights.
✅𝗡𝗲𝘄 𝗪𝗮𝘆
• Streamlined data ingestion and processing with integrated SQL capabilities.
• Unified storage layer accommodating both structured and unstructured data.
• Cost-effective storage by combining benefits of data lakes and warehouses.
• Real-time analytics and high-performance queries with SQL integration.
The shift?
Unified Analytics and Real-Time Insights > Siloed and Delayed Data Processing
Leveraging SQL to manage data in a data lakehouse architecture transforms how businesses handle data.
Data Engineering Interview Preparation Resources: https://topmate.io/analyst/910180
All the best 👍👍