Data Modernization: How can you do more with less through containerized ETL

According to Gartner- “By 2023, more than 70% of global organizations will be running more than two containerized applications in production, up from less than 20% in 2019”. 

Today, traditional data warehouses and data marts simply cannot accommodate the large volumes of data being generated from  customer touchpoints, both from digital and offline channels.  That's why organizations are taking on data modernization to transition away from legacy systems to a modern cloud-based architecture for its scalability and elasticity,  and leverage different analytics services on cloud environments. Using Containerized ETL to access data across multi-cloud environments is a key success factor for  your data modernization project.