Big data platform orchestration on AWS
Harness vast amounts of business data with Amazon Elastic MapReduce
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Highlights
- Hadoop is becoming the platform of choice for big data analytics.
- AWS offers Amazon Elastic MapReduce (EMR), a Hadoop-based managed service that takes care of all the mundane tasks.
- Customers can also run Amazon EMR on Amazon EKS to deploy and manage containerized data workloads at scale, driving cost optimization and improved performance.
- TCS has also developed many services, migration frameworks, tools and accelerators in moving from on-premise to AWS EMR.
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Challenge
Market research and client engagements show that big data plays a central role in helping enterprises reimagine their businesses.
Hadoop is becoming the platform of choice for big data analytics. For years, thousands of organizations have relied on Hadoop clusters and associated building blocks to build and run the data platforms to process peta bytes of data every day. Despite all the challenges and efforts needed to set up a Hadoop ecosystem within an organization, Hadoop-based data platforms have become an integral part of the data landscape.
In today’s context, Hadoop-based data platforms can be made many times easier to run and manage on the cloud. Cloud-based deployments allow users to spin up and scale Hadoop clusters in near real time and at less cost.
Solution
TCS partners with clients to run their big data system landscape on AWS cloud to achieve scale, enhance agility, innovate and launch new services faster.
AWS offers Amazon Elastic MapReduce (EMR), a Hadoop-based managed service that takes care of all the mundane tasks needed to spin up and run these clusters.
AWS EMR supports the entire software stack, which includes Apache Spark, HBase, HCatalog, Hive, Flink Presto, Ganglia, Oozie, Pig, MXNet and Sqoop. It greatly simplifies the setup of clusters as all these packages are automatically installed at the time of cluster creation. AWS EMR carries a customized version of Hive, which can connect to and query DynamoDB.
Build data architecture with Amazon EKS
Companies can also run Amazon EMR on EKS to deploy and manage containerized data workloads at scale. This brings additional benefits, including cost optimization and improved performance.
By leveraging Amazon EMR on EKS, our proprietary data architecture frameworks, and industry domain expertise, enterprises can create a containerization strategy aligned to their digital strategy.
They can create enterprise Kubernetes strategies for industry-specific use cases. These include strategies for:
- Kubernetes as a data and application delivery platform/SaaS
- Multi-cluster Kubernetes management for COEs
TCS has demonstrated delivery excellence in AWS EMR services and helped many clients to migrate from on-premise Hadoop to EMR. TCS has also developed many migration frameworks, tools and accelerators in moving from on-premise to AWS EMR.
Benefits
TCS’ Data and Analytics Services on AWS would help to:
- Enable enterprises with the ability to scale storage and independently compute
- Drive reduction in the overall data ecosystem cost as the pricing of EMR is transparent and predictable
- Prevent cyberattacks with secure firewall settings, control network access to instances and launch clusters in an Amazon Virtual Private Cloud (VPC)
- Reduce time taken for tuning and monitoring clusters
TCS Advantage
Strong partnership between TCS and AWS include:
- Range of TCS accelerators, best practices, AWS products and solutions to accelerate development and deployment
- Deep technology experience and end-to-end services portfolio including consulting, implementation and managed services
- Successful track record in delivering a number of AWS solutions
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