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Architecting and Implementing a Data Lake for a Big5 Consulting Firm
Our customer, a Big5 Consulting Firm, wanted to digitize their business operations and needed a partner to do a technical proof of concept on Cortana analysis suite (CAS's) data lake set of offerings. They needed to bring in data from multiple cloud tenants into a single location, run descriptive and predictive analytics on the data, establish a regular schedule and data organization, and have one consolidated version of data points.
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Overcoming Data Challenges in the FinTech Industry
Data remains a key challenge for FinTechs and their partnering traditional financial institutions. Among FinTechs globally, 81 percent have reported data to be their biggest technical challenge. These data issues include leveraging data for AI-ML, connecting to customer applications and data systems, security, and deployment in multiple clouds.
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Reducing Operational Costs and Ensuring Scalability: A Case Study of Oracle Retail and EBS Transformation to AWS Cloud
The client faced challenges such as lack of high availability for applications and databases, difficulty in scaling and handling traffic spikes and loads, the need to complete migration before the expiration of on-premises licenses, lack of robust security with on-premises infrastructure, ineffective management of cost and resources, and the need for upgrading OS, database, and server versions along with migration.
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Application Re-architecture and DevOps on Cloud: Improving Agility for a Telecom Distributor
The client was using monolith architecture based application and suffered from lack of agility with complex interdependencies. They had been practicing extensive manual testing and strived to keep release on track. With their outdated framework, it became a huge task to adopt a new framework and to implement continuous deployment which required the entire application to be redeployed.
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Optimizing Azure and Continuous Support for a Univar Solution Company
The client faced several issues including unavailability of application during AKS update, AKS vulnerability, redundant storage accounts and app service plans, unavailability of pods & inefficient pod deployments, and webapp access was not up to the mark. They also had complex deployment in CPT and their PDMS app involves AI/ML.
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