Key Takeaways
- Why traditional ETL may not be enough for high-volume data environments
- How ELT offers enhanced performance for large integration jobs
- Use-case driven ETL vs. ELT performance comparison through Astera Centerprise
- Why ELT and ETL are friends, not enemies
WEBINAR
ETL vs. ELT: A Live Data Integration Demo
About the webinar
Enterprises operate on well-knitted data architectures comprising of hundreds of data sources, integrated to churn out trusted insights for accurate, on-time decision-making. The two widely used approaches to execute data integration jobs are Extract-Transform-Load (ETL) and Extract-Load-Transform (ELT).
But which one should you opt for your data integration use case? In this webinar, our product experts compare the performance capabilities of ETL and ETL through various use cases. They also demonstrate the power of ELT live by processing over 3,500,000 records in real-time.
Ibrahim Surani
Ibrahim Surani is the founder and CEO of Astera Software. He is responsible for spearheading Astera’s corporate strategy, overseeing management, and directing the long-term objectives of the company.
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Authors:
Iqbal Ahmed
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