Overview
Data Integration and ETL Pipelines
✔ Automate and simplify ETL workflows with AWS Glue for seamless data integration across diverse sources.
✔ Consolidate and transform structured, unstructured, and semi-structured datasets with serverless ETL pipelines.
✔ Utilize AWS Glue Data Catalog and AWS Lake Formation for centralized metadata management, security, and governance.
**Data Storage and Management**
✔ Implement scalable, cost-efficient data lakes on AWS S3, governed by AWS Lake Formation for fine-grained access control.
✔ Secure, catalog, and manage structured and unstructured data using AWS Lake Formation to enable enterprise-wide data sharing.
✔ Build high-performance data warehouses and data meshes using Amazon RedShift.
✔ Ensure data durability, security, and compliance with cost-optimized storage solutions.
**Real-Time Analytics and Streaming**
✔ Process high-velocity streaming data with Amazon Kinesis for real-time monitoring, decision-making, and event-driven architectures.
✔ Develop dynamic data pipelines that deliver instant alerts and anomaly detection.
✔ Power real-time dashboards with Amazon QuickSight to gain immediate insights.
**Big Data Processing and Advanced Analytics** ✔ Leverage Amazon EMR to process large-scale datasets with Apache Spark, Hadoop, and Presto.
✔ Execute ad-hoc SQL queries across petabyte-scale datasets with Amazon Athena.
✔ Architect serverless, cloud-native data warehouses with Amazon RedShift to support enterprise BI and analytics workloads.
**Business Intelligence and Visualization**
✔ Deploy interactive QuickSight dashboards for self-service analytics across the organization.
✔ Implement QuickSight Q to enable natural language query-driven insights without requiring complex SQL queries.
✔ Integrate Q Business for AI-powered, personalized analytics, delivering actionable insights tailored to enterprise needs.
✔ Embed QuickSight dashboards directly into web applications for seamless, real-time data interaction.
**Machine Learning and Predictive Analytics** ✔ Utilize AWS Glue DataBrew to automate data preparation for ML workflows, ensuring clean, enriched datasets.
✔ Deploy Amazon SageMaker models that leverage both historical and real-time data to power predictive analytics.
✔ Deliver AI-powered, prescriptive analytics that drive business intelligence and proactive decision-making.
Highlights
- ✅ Automated, Serverless Data Pipelines – Simplify complex ETL processes with AWS Glue, enabling automation, scalability, and reduced operational overhead. ✅ Governed Data Lakes with AWS Lake Formation – Secure and govern data lakes with fine-grained access controls and automated permissions across AWS services
- ✅ Interactive Dashboards & Embedded Analytics – Deploy QuickSight dashboards, leverage QuickSight Q for natural language insights, and embed dashboards into web platforms for real-time, accessible analytics. ✅ Real-Time & Historical Analytics – Combine streaming analytics with batch processing using Kinesis and Athena for comprehensive insights.
- ✅ Certified Expertise – Work with a team of certified AWS professionals experienced in data engineering, analytics, and BI implementations. ✅ Diverse Data Integration – Manage and integrate large datasets across industries, including finance, retail, Power & Utilities, and public datasets, for unified and actionable insights. ✅ Scalable & Cost-Effective – Design solutions that grow with your data, leveraging serverless architectures and pay-as-you-go pricing.
Details
Unlock automation with AI agent solutions

Pricing
Custom pricing options
How can we make this page better?
Legal
Content disclaimer
Support
Vendor support
E-Mail: contact@businesscompassllc.com
Phone : (973) 638-2228
https://businesscompassllc.com/aws-data-and-analytics-service-practice/