AWS Data Analytics
Analytics on AWS
Amazon Web Service (AWS) provides the broadest selection of analytics services that fit all your data analytics needs and enables organizations of all sizes and industries to reinvent their business with data. From data movement, data storage, data lakes, big data analytics, and machine learning (ML) to anything in between, AWS offers purpose-built services that provide the best price performance, scalability, and lowest cost.
data life cycle
Ingestion
Storage
Processing and Analyze
Data Analytics Foundation Workshop as first step of engagement
In this engagement, we will work with you to discover, assess and architect a secure, scalable, performant and maintainable data platform. This data platform will enable a robust data environment to maximize data utilization enterprise wide. The engagement will include a variety of deep-dive working sessions and prototype development implementation focusing on the following areas:
People Readiness
Impact assessment and remediation strategies for Customer’s users examining daily activities, responsibilities and typical work streams for highly impacted users
Performance & Compliance Management
Monitoring, logging and alerting for resources and activities associated with data platform
Automated Resource Deployment
Repeatable, interactive cloud and data operations using Infrastructure as Code
Resources & Data Access
Organization, authentication and authorization for AWS resources and data sets through Identity and Access Management
Data & Analytics Discovery
Discovery, assessment, gap analysis and design of existing data capabilities and applicable migration strategy to AWS
Data & Analytics Platform Foundation
Assessment and design of the data platform across ingestion, storage, processing (streaming and batch), transformation and visualization requirements and considerations
Data & Analytics Security
Assessment and design of data security, data sharing and de-identification requirements