Introduction
Mobilize and amplify the data across your entire enterprise with Snowflake’s powerful cloud platform and our proven effective service model that allows you to eradicate data silos, decomplex data architecture, and flex machine learning to drive data-driven decision-making and get maximum value from your data.
Our team of certified SnowPro Advanced Architects, along with our full suite of end-to-end digital transformation experts, enable you to migrate to the innovative Snowflake data cloud within your existing architecture – ensuring high data quality, governance, and analysis.
Assess
- Leverage our fast, comprehensive "base camp" assessment process to get a 360° view of your current data architecture and how to modernize it.
Implement
- Expert migration onto the Snowflake platform and integration with your existing applications for a seamless, no-silo experience. On-premise to cloud. Powerfully accommodates structured and semi-structured data.
Analyze
- Employ the power of AI/ML to reveal new insights from your data.
Excel
- Collaborate faster and better across teams
- Qualify, quantify, and discover insights that can drive the success of your business.
Mastek-Snowflake Partnership Offerings
Data Strategy
Data Warehouse & Warehouse Modernization
Data Science, Visualization & Analytics
Data Science, Visualization & Analytics
Support & Managed Services
Benefits
Secure, scale, and analyze your data with Mastek’s expertise and Snowflake’s fully managed platform that leverages the near-limitless resources of the cloud to:
- Create immediate, real-time access to your business and customer data
- Increase data process speed by up to 10x
- Reduce operations costs by up to 30%
- Move from on-premises to cloud securely and scale as needed
Key Statistics
Consultants
DecSecOps
- Build Secure Environments (landing zones) with AWS ASEA accelerator
- AWS DevOps Infrastructure
- CI/CD with CelerOps Accelerator
- SRE & Chaos Engineering
- Insights Driven Engineering with Mastek’s Software Engineering Intelligence Platform (MSEIP) Accelerator
- SecOps integration with Snyk
Cloud Data Analytics & AI
- Business Analytics with Athena, and QuickSight
- Big Data with EMR
- Data Platforms - Data Warehouse, Data Lakes - ETLs with Glue, Redshift, Lakeformation & Kinesis
- ML Models with Predictive Analytics
- Data Management & Virtualization
- IoT and Digital Assistantsand Fault Injection Simulator
Cloud Enhancement Service
- Cloud Governance, Management & Optimization with CloudWatch, EventBridge and CloudTrail
- IT Service Continuity Management with AWS & ServiceNow integration
Insights
Whitepaper
FAQ
Once you have understood your requirements, the next step is to look for a partner who has expertise in implementing AWS solutions that cater to your specific objectives. Evaluate their strengths and offerings based on their years of experience, awards, certifications, customer success stories and testimonials. Make a point to select a provider who has resources with certifications in multiple aspects of AWS implementation and management.
Our expertise lies in AWS Cloud migration and transformation, and it is not limited to API management, enterprise integration, low code/no code, cloud modernization, Agile DevSecOps, Cloud Data Analytics & AI and Cloud Native Development. Additionally, we have experience and prowess in building digital commerce solutions using industry commerce cloud frameworks on AWS hosting to enable enterprises to deliver omnichannel customer experience.
Snowflake Overview
Snowflake delivers the Data Cloud – a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.