AWS Data and Analytics Service Practice
Overview
Unlock the full potential of your data with our
AWS Data and Analytics Service Practice. Leveraging AWS’s industry-leading data services, including S3, Glue, QuickSight, Athena, EMR, RedShift, Kinesis, and more, we provide end-to-end solutions for data integration, analytics, and visualization. Whether you need real-time insights, advanced BI capabilities, or embedded analytics, we design scalable, cost-effective solutions tailored to your business needs.
Offering
Core Offerings
1
Data Integration and ETL Pipelines
- Automate and simplify ETL workflows with AWS Glue for seamless data integration.
- Consolidate and transform diverse datasets, including structured, unstructured, and semi-structured formats.
- Utilize AWS Glue Data Catalog for centralized data discovery and management.
2
Data Storage and Management
- Implement and manage scalable data lakes on AWS S3 with robust security and lifecycle policies.
- Design data warehouses and meshes using RedShift for high-performance analytics.
- Ensure data availability and durability with cost-optimized solutions.
3
Real-Time Analytics and Streaming
- Process and analyze streaming data with Amazon Kinesis for real-time decision-making.
- Build dynamic data pipelines for instant monitoring and alerts.
- Integrate real-time analytics with dashboards powered by QuickSight.
4
Big Data Processing and Advanced Analytics
- Use Amazon EMR to process large datasets with Apache Spark, Hadoop, and Presto.
- Execute ad-hoc queries on massive datasets with Amazon Athena.
- Architect high-performance, cloud-native data warehouses with RedShift.
5
Business Intelligence and Visualization
- Deploy interactive dashboards with QuickSight for self-service analytics.
- Implement QuickSight Q for natural language query-driven insights across the organization.
- Integrate Q Business for personalized, AI-powered analytics tailored to enterprise needs.
- Embed QuickSight dashboards directly into your websites and applications for seamless user experiences and real-time data interaction.
6
Machine Learning and Predictive Analytics
- Enable advanced data preparation with AWS Glue DataBrew for ML workflows.
- Deploy predictive models with SageMaker, leveraging both historical and real-time data.
- Deliver actionable insights through predictive and prescriptive analytics.
Key
Key Value
Propositions
1
Automated, Serverless Data Pipelines
Simplify complex ETL processes with AWS Glue, enabling automation, scalability, and reduced operational overhead.
2
Interactive Dashboards and Embedded Analytics
Deploy intuitive QuickSight dashboards, leverage QuickSight Q for natural language insights, and embed dashboards into web platforms for real-time, accessible analytics.
3
Real-Time and Historical Analytics
Combine streaming analytics with batch processing using Kinesis and Athena for comprehensive insights.
4
Certified Expertise
Work with a team of certified AWS professionals experienced in data engineering, analytics, and BI implementations.
5
Diverse Data Integration
Manage and integrate large datasets across industries, including finance, retail, Power & Utilities, and public datasets, for unified and actionable insights.
6
Scalable and Cost-Effective
Design solutions that grow with your data, leveraging serverless architectures and pay-as-you-go pricing.
Why Choose Us?
- Expertise in deploying and managing AWS QuickSight, QuickSight Q, and Q Business.
- Proven track record of embedding interactive dashboards in websites and applications for enhanced user engagement.
- Tailored solutions to meet unique business requirements across diverse industries.
- Focus on security, compliance, and governance to protect your data assets.
