Gartner predicts that by 2022, “public cloud services will be essential for 90% of data and analytics innovation.” The latest achievements in cloud technologies are giving businesses the opportunity to reduce the cost of their analytics platforms while improving speed, scale, and efficiency.
With the new Lake House architecture from Amazon Web Services (AWS), organizations can now modernize their analytics operations and accelerate their ability to gain valuable insights. Its capabilities enable enterprises to directly and seamlessly run queries (through Athena/Spectrum) against data in operational data stores (Relational Database Service [RDS]), lakes (Amazon Simple Storage Service [S3]) or data warehouses (Redshift) while ensuring unified governance controls through services such as Lake Formation. By adopting the architecture, organizations can gain improvements in both cost and performance.
Wipro offers an array of data platform modernization services, ranging from assessments, roadmap building, and piloting to industrial rollouts of AWS analytics platforms. Our services are backed by Wipro’s years of experience migrating large, on-premise analytics platforms to the cloud. With our frameworks, accelerators, and automation platforms, we can offer our clients a low-risk migration to the cloud while containing costs. Our 4S Levers, outlined below, are the foundation for our modernization approach and our ability to empower organizations to achieve greater business value.