SQL Server Migration to AWS

Service Overview AWS databases were created with the intention of offering companies the necessary scale, performance and availability to operate their essential applications. It doesn't matter if the application is an ERP, a high-traffic web application, a recommendation engine or an IoT application, VirtueTech suggests the best solution for your specific needs. Our experienced engineers use effective tools to transfer source database promptly and proficiently to AWS. The migration services are applicable to a variety of popular database systems such as Oracle, Microsoft SQL Server, MySQL, Redis, Postgres, and MongoDB. Services Offered Assessment Evaluating several factors to determine if SQL migration to AWS is the right decision:- • Business Goals • Application Requirements • Cloud Architecture • Data Migration Strategy • Security and Compliance • Cost Analysis Design and Planning • Define Migration Goals • Decide Migration strategy • Assess the Current Environment • Choose right AWS Services • Develop Migration Plan • Testing Migration • GoLive • Post-Migration Optimization Implementation • Create AWS Account • Choose right AWS Services • Create target environment • Migrate Database • Verify and Test • Switch Over • Post-Migration Optimization • Monitor and Maintain

Data Modernization: AWS Data Ingestion and Data Lake Building

Service Overview Leveraging cloud technology to transform traditional data management. Data ingestion and data lake building in AWS are key components of this modernization idea. Data ingestion is the process of importing data from various sources into a data store for processing and analysis, while building data lake involves creating a centralized repository for storing and processing large volumes of data. AWS provides several efficient and cost-effective services for both data ingestion and data lake building, developing clarity, confidence and maturity in data-driven decision-making capabilities with intelligent insight into business information. Services Offered Planning • Define Objectives • Assess Current Data Environment • Choose the Right Services • Develop a Migration Plan • Prepare Data • Migrate Data • Test and Validate • Optimize and Maintain

Implementation • Execute Migration Plan • Deploy AWS Services • Test and Validate • Optimize and Maintain • Train and Educate

Data Mesh

Service Overview Data mesh is latest emerging architectural approach that aims to address the pain points of data management in distributed environments and gives the confidence to scale. Using cloud services to build a scalable, flexible and secure data architecture that enables decentralized data ownership and domain-driven data management. It considers multiple data consumers and data providers with a federated governance design. VirtueTech helps in assessing the current structure with respect to data mesh implementation. Services Offered Assessment steps Evaluating the organization's business needs, business structure, LOBs, security policies, data characteristics etc., thereby determining whether data mesh is feasible and aligns with the organization's data management needs and objectives. A thorough assessment facilitates informed decisions how to effectively leverage cloud to manage data in complex, distributed environments. • Business Needs • Business Structure, units, departments • Data Governance • Data Infrastructure • Data Products • Platform Thinking

Big Data Quality

Service Overview Data Engineering Quality is a top-tier solution for ensuring data quality worldwide. It can help you ensure that your business initiatives and processes are powered by relevant, timely, and reliable data. VirtueTech Data Engineering Quality offers collaborative features for business users such as data stewards and analysts, while providing the depth and scalability needed by technical roles. User experience for Informatica Data Engineering Quality is consistent whether deployed on-premises or on AWS. Service offered • Assessment of data quality • Custom modification of Data quality tool

AWS Redshift cost optimization & assessment:

Service overview Taking steps to reduce the amount of money spent on running Redshift clusters while still ensuring that performance and reliability requirements Service offered Assessment and recommendations • Custom assessment of current AWS services and costs • Assistance with cleanup of unused AWS resources • Recommendations on instance right-sizing • Recommendations on AWS purchase plans Implementation • Right-sizing Clusters • Data Compression • Data Partitioning • Concurrency Scaling • Query Optimization • Reserved Instances

AWS Quicksight POC:

Approach • Define the Use Case • Data Preparation • Data Visualization • Analysis • Sharing Deliverables • POC demo • Wider implementation plan