Amazon Web Services

Accelerate Your Enterprise Data Journey with AWS

Modern organizations rely on dozens of enterprise applications, but the data within these systems often remains siloed. Logan Data helps organizations connect, move, transform, and prepare enterprise data for analytics and AI on Amazon Web Services (AWS).

As an AWS Partner, we build cloud-native data integration solutions that simplify enterprise connectivity, automate data movement, and enable organizations to unlock insights faster while reducing operational complexity.

Whether you’re building your first data lake, modernizing your analytics platform, or preparing enterprise data for generative AI, Logan Data provides the foundation for success.

Why Logan Data + AWS?

AWS offers the world’s most comprehensive cloud platform for analytics, AI, storage, compute, and security. Logan Data extends these capabilities by providing production-ready connectors and automated data pipelines that move enterprise data into AWS quickly, securely, and reliably.

Together, Logan Data and AWS help organizations:

  • Centralize enterprise data
  • Eliminate manual integrations
  • Build scalable analytics platforms
  • Accelerate AI initiatives
  • Reduce engineering effort
  • Improve governance and security

Our AWS Solutions

Enterprise Data Integration

Connect your enterprise applications to AWS with ease.

Enterprise organizations rely on applications like Workday, Salesforce, ServiceNow, Slate CRM, SAP, Oracle, Microsoft Dynamics, and many others. Logan Data provides pre-built connectors that automate secure data extraction and synchronization.

Key Features:

  • Pre-built enterprise connectors
  • REST & SOAP API integration
  • Scheduled synchronization
  • Incremental data loads
  • Historical data extraction
  • Secure credential management

Business Value:

Reduce months of integration work to days while ensuring reliable, automated data delivery.

Data Lake Modernization

Build a centralized, analytics-ready data platform on Amazon S3.
Move enterprise data into AWS using cloud-native architectures that support long-term storage, governance, and analytics.

Key Features:

  • Amazon S3 integration
  • Parquet optimization
  • CSV support
  • Automatic partitioning
  • Historical archives
  • Scalable storage

Business Value:

Create a single source of truth for enterprise reporting and analytics.

Analytics & Business Intelligence

Transform enterprise data into actionable insights.
Prepare clean, structured datasets for business intelligence tools without maintaining complex ETL pipelines.

Key Features:

  • Amazon Athena
  • Amazon Redshift
  • Amazon QuickSight
  • AWS Glue

Business Value:

Enable analysts and business users to access trusted data faster while reducing dependency on engineering teams.

AI & Machine Learning Enablement

Power intelligent applications with trusted enterprise data.
High-quality AI depends on high-quality data. Logan Data prepares enterprise datasets for modern AI and machine learning workloads running on AWS.

Key Features:

  • Amazon Bedrock
  • Amazon SageMaker
  • RAG applications
  • Enterprise chatbots
  • Predictive analytics
  • Intelligent automation

Business Value:

Accelerate AI adoption with enterprise-ready data pipelines.

Governance & Security

Protect your enterprise data with AWS best practices.
Security and governance are embedded into every solution we build.

Key Features:

  • IAM integration
  • Encryption in transit
  • Encryption at rest
  • Role-based access
  • Auditability
  • Secure credential storage

Business Value:

Meet enterprise security requirements while maintaining operational efficiency.

Cloud-Native Automation

Automate every stage of your data pipeline.
Leverage AWS-native services to orchestrate scalable, event-driven data workflows.

Key Features:

  • AWS Lambda
  • AWS Batch
  • Amazon EventBridge
  • Amazon CloudWatch

Business Value:

Reduce operational overhead with automated scheduling, monitoring, retries, and scaling.

Why Customers Choose Logan Data

  • Faster Time to Value: Deploy enterprise integrations in days rather than months.
  • Cloud-Native Architecture: Purpose-built for AWS using managed services that scale automatically.
  • AI-Ready Data: Prepare trusted enterprise datasets for analytics, reporting, and generative AI.
  • Enterprise Scale: Process millions of records securely and efficiently with cloud-native automation.

AWS Services We Leverage

Compute

  • AWS Lambda
  • AWS Batch

Storage

  • Amazon S3

Analytics

  • Amazon Athena
  • Amazon Redshift
  • AWS Glue
  • Amazon QuickSight

Artificial Intelligence

  • Amazon Bedrock
  • Amazon SageMaker

Monitoring

  • Amazon CloudWatch

Security

  • AWS IAM
  • AWS Secrets Manager

How It Works

  • Connect – Securely connect enterprise applications using Logan Data connectors.
  • Extract – Automatically retrieve full, incremental, or historical datasets.
  • Transform – Convert raw enterprise data into analytics-ready Parquet or CSV datasets.
  • Store – Load optimized data into Amazon S3.
  • Analyze – Query using Athena, visualize in QuickSight, or warehouse in Redshift.
  • Innovate – Power AI, dashboards, predictive analytics, and enterprise reporting.

Industries We Support

  • Higher Education
  • Healthcare
  • Financial Services
  • Technology
  • Manufacturing
  • Retail
  • Government
  • Professional Services