Harness the Power of Data Analytics for Informed Decision-Makingand Strategic Advancement
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In our approach to analytics, we utilise the toll called maturity model. Maturity models are very versatile tools that give users insight into current performance, direction for future growth and improvement.
Outline the benefits resulting from the approach described above.
Talk to an expertYou may also want to read more about the Machine Learning which is closely related to the analytics capability,.
Read more on how analytics are used on various Client’s projects.
Automate publishing your data products on the AWS Data Exchange with Rearc's ADX Publisher Coordinator. The solution enables data providers to publish arbitrary number of data assets to their AWS Data Exchange data products without worrying about scalability, ADX API limits, code redundancy, and more.
The company partnered with Rearc to build out a fully automated, self-service platform for engineers to build, deploy and manage their applications.
The Alight M&A Cloud Migration Engagement was a year-long multi-faceted large-scale cloud migration project.
ASAPP, an Artificial Intelligence product company in NY has been using CI/CD tools such as Github, CircleCI and Terraform to run build and test automation on publicly hosted Github and CircleCI solutions. With a growing customer base, it became essential to improve and enhance the security and compliance posture in their software development and release lifecycle by building and deploying an internal enterprise CircleCI and internal enterprise Github environment. Additionally, in order to improve visibility into software quality, a need for standard code quality and scanning tool became apparent.
We partnered with M.Shanken to build a comprehensive CI/CD solution, including everything from infrastructure as code to a deployment environment.
Check out the capabilities that we mastered in our diverse Team!
Processing streams of information. Streaming architectures can be used to move data between systems, or as a system of record in themselves (as with ksqldb)
Processing streams of information. Streaming architectures can be used to move data between systems, or as a system of record in themselves (as with ksqldb)
Bringing data from external first and third-party systems into the data platform.
Harness the Power of Data Analytics for Informed Decision-Makingand Strategic Advancement
