Unleash the power of cloud modernization
Accelerate migration of complex data pipelines to modern cloud services using a holistic approach
Communications Service providers face several challenges in managing and processing massive amounts of data generated every day from Call Detail Records (CDRs), networks, and application logs from various sources. Big data platforms like Hadoop help manage, analyze, and derive insights from extensive data but performance limitations, scalability challenges, and high maintenance efforts make it a tough challenge.
Service providers must move towards a cloud-based Hadoop ecosystem to overcome these challenges. While there are different approaches to cloud migration, the serverless route provides several benefits when compared to the traditional cloud.
According to Forrester, more enterprises are frustrated with the complexities of Hadoop’s on-premise systems and want to shift to the public cloud. Serverless and Hadoop alternatives in the public cloud will gain more traction in the near future.
This insight sheds light on cloud modernization of service providers’ ML use cases to facilitate efficient handling of large volumes of ML data, real-time data analysis, and faster decision-making.
Fig: Cloud modernization approach to maximize the value of migration
According to Forrester, many enterprises are frustrated with the complexities of Hadoop’s on-premise systems and want to move to the public cloud. Serverless and Hadoop alternatives on public clouds will gain traction in the future.