Month: March 2020

Businesses are struggling with huge volumes of data to solve complex business problems while relying on their legacy data platform infrastructure. However, traditional ETL tools that were designed two decades ago are not equipped to solve the business problems of 2020.

Challenges with traditional ETL Tools:

• Costly
• Non-flexible
• Non-scalable
• Built for on-premise
• Cannot transform before landing

To address these challenges, enterprises are looking to transform their ETL workloads from legacy data warehouses to the cloud. The trend has gathered momentum in recent times. According to Forbes, 80% of the data warehouse tools used by organizations are now cloud-based versus on-premise.

Modern ETL tools have evolved as an obvious choice as they come packed with features to extract value from huge datasets. These tools offer the following advantages:

• Performant
• Resilient
• Scalable
• Intuitive
• Secure and compliant
• End-to-end data processing and analytics