Objectives
In an effort to reduce cost and implement a more scalable framework, Staples engaged Mastek to respond to the demands of its business and end users for the benefits available in the cloud.to build and implement a reference architecture that will utilize state-of-the-art tools and quickly transition to the corporate cloud strategy.
Staples wanted to have the capability to will support online business growth and holiday demand.
The Challenges
Ongoing IT difficulties were preventing consistent delivery of reliable client services. Critical data was trapped in silos and on premises infrastructure struggled to keep up with the company’s rapidly evolving business needs. To address this, Staples adopted a new strategy to move from legacy systems to the Microsoft Azure cloud. All servers/applications were to be migrated, largely eliminating physical infrastructure.
- Expense to support Teradata environment exceeding budget.
- Expiring technology restricts ability to scale to meet online and holiday demand.
- End of life technology needed to be replaced.
- Expense to support Teradata environment exceeding budget.
- Expiring technology restricts ability to scale to meet online and holiday demand.
- End of life technology needed to be replaced.
Why Mastek?
Our team initiated the Cloud Migration phase leveraging several pre-built modules and implementing best practices for sequencing, scheduling, and cutover of each workload. The migration also addressed data silos, and many applications were consolidated.
- Proven expertise in implementing Snowflake with Azure Cloud.
- Model to reduce high maintenance cost and slow application development.
- Experience to minimize data movement to improve performance.
- Proven expertise in implementing Snowflake with Azure Cloud.
- Model to reduce high maintenance cost and slow application development.
- Experience to minimize data movement to improve performance.
The Solution
Our team initiated the Cloud Migration phase leveraging several pre-built modules and implementing best practices for sequencing, scheduling, and cutover of each workload. The migration also addressed data silos, and many applications were consolidated.
Benefits
- Performance – 8x improvement in performance and near linear scalability.
- Affordability – 19% reduction is server and storage costs and 16% reduction in operational costs (~$1.5M per year).
- Agile Processing – Implemented a re-usable framework with open source tools.
Benefits
- Performance – 8x improvement in performance and near linear scalability.
- Affordability – 19% reduction is server and storage costs and 16% reduction in operational costs (~$1.5M per year).
- Agile Processing – Implemented a re-usable framework with open source tools.
These Solutions Included
- Creating a unified front-end that makes data workflows highly customizable and accessible for application development.
- Rewriting queries and processes that were defined in Oracle to AWS-friendly SQL.
- Building a secure, continuous data sync between legacy systems and the cloud.
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Client, XYZ Company
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Client, XYZ Company
The Outcome
Our Architect team collaborated with Staples to design their new cloud architecture and help to migrate to the Azure cloud platform. With flexible and scalable cloud technology, Staples was able to improve the reliability and performance of its data infrastructure and further advance its data strategy. The change led to significantly improved customer satisfaction and retention.
Our Architect team collaborated with Staples to design their new cloud architecture and help to migrate to the Azure cloud platform. With flexible and scalable cloud technology, Staples was able to improve the reliability and performance of its data infrastructure and further advance its data strategy. The change led to significantly improved customer satisfaction and retention.
Our Architect team collaborated with Staples to design their new cloud architecture and help to migrate to the Azure cloud platform. With flexible and scalable cloud technology, Staples was able to improve the reliability and performance of its data infrastructure and further advance its data strategy. The change led to significantly improved customer satisfaction and retention.
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