Key takeaways
- Wipro launched the Data Intelligence Suite to modernise data estates on Amazon Web Services.
- The suite provides a standardised platform for seamless migration from legacy systems to the cloud.
- It automates cloud migration, helping companies avoid issues related to stability and data loss.
- AWS's scalable and secure architecture enhances productivity and reduces migration costs.
- AWS re:Invent featured multiple key announcements, including new data management services.
At AWS re:Invent 2022, Wipro announced the launch of Data Intelligence Suite, a one-stop solution for accelerating cloud modernisation and data monetisation. This new suite will aid in modernising data estates, including data stores, pipelines and visualisations, running on Amazon Web Services (AWS)
The suite offers a standardised platform that is a trustable medium that facilitates seamless migration from existing platforms and fragmented legacy stems to the cloud.
It enables an end-to-end automation of a company’s cloud migration platform enabling companies to gain business value while avoiding issues concerning stability, latency and data loss.
“The scalability and security of AWS's cloud base architecture combined with the Data Intelligence Suite will enhance productivity, reduce the costs of migration and drives faster time to market,” said Sriram Narasimhan, senior vice president and global head of data and analytics at Wipro.
Meanwhile, Infosys has partnered with the Google Cloud Platform Partner Program in the data analytics specialisation space. Tech Mahindra has also, over the past few years, collaborated with Google Cloud to help their customers leverage the cloud infrastructure.
The AWS re:Invent was marked by a slew of key announcements by AWS CEO Adam Celipsky which included the launch of Amazon DataZone, Amazon Redshift Integration, AWS SimSpace Weaver, AWS Clean Rooms and Amazon EC2 Instances amongst a host of other services. These offerings are detailed below.
Read: Key Announcements Made At AWS re:Invent 2022
Amazon DataZone is a data management service that helps organisations by facilitating in searching, sharing and organising their data across the AWS and diverse platforms.
The Amazon Redshift’s integration with Apache Spark enables AWS analytics and ML services to run Apache Spark applications on Amazon Redshift data.
SimSpace Weaver is a service that enables users to build and operate spatial simulations on a large scale.
AWS Clean Rooms offering helps multiple parties to combine and analyse their data in a safe environment without being able to access each other’s raw data.
AWS also released three new Amazon Elastic Compute Cloud (Amazon EC2) instances. These instances are powered by AWS-designed chips that have been built to provide the best price-performance for running high-performance computing workloads at scale. This, in turn, will help customers solve their most complex academic, scientific, and business problems.
