Data Analytics Modernization
Migrate from legacy systems to modern cloud data platforms. Build scalable pipelines, real-time analytics, and AI-ready infrastructure.
Modern Data Platform
End-to-end data modernization from ingestion to insights
Data Pipeline Migration
Migrate ETL/ELT processes from legacy systems (SSIS, Informatica, Talend) to modern cloud-native pipelines.
Cloud Data Warehousing
Implement Snowflake, Databricks, BigQuery, or Azure Synapse for scalable, performant analytics.
Real-Time Analytics
Stream processing with Kafka, Spark Streaming, or Azure Event Hubs for real-time insights.
Data Lake & Lakehouse
Build unified data lakes on Azure Data Lake, AWS S3, or Delta Lake for structured and unstructured data.
BI & Visualization
Modernize reporting with Power BI, Tableau, or Looker integrated with cloud data platforms.
Data Quality & Governance
Implement data quality checks, lineage tracking, and governance frameworks (Purview, Collibra).
Common Migration Scenarios
🏦 Legacy EDW to Cloud
From: Teradata, Oracle, SQL Server on-prem
To: Snowflake, Databricks, Azure Synapse with automated pipelines
🔄 ETL Modernization
From: SSIS, Informatica, Talend, Ab Initio
To: Azure Data Factory, AWS Glue, Airflow, dbt
📊 BI Platform Upgrade
From: Cognos, BusinessObjects, SSRS
To: Power BI, Tableau, Looker with embedded analytics
🗄️ Data Lake Implementation
From: Siloed file shares, legacy databases
To: Cloud data lake with Delta Lake, medallion architecture
Why Modernize?
Lower TCO
Reduce infrastructure costs by 40-60% with pay-per-use cloud platforms and automated scaling.
Faster Insights
Query performance improvements of 10-100x with columnar storage and massively parallel processing.
Agile Development
Deploy new analytics use cases in weeks instead of months with CI/CD and version control.
AI-Ready
Unified platform for analytics and ML with integrated model training and deployment.
Unlimited Scale
Handle petabytes of data with elastic compute and storage separation.
Enterprise Security
Built-in encryption, access controls, auditing, and compliance certifications.
Modernization Approach
Assess
Inventory systems, map dependencies, define priorities
Design
Target architecture, platform selection, migration strategy
Migrate
Phased migration with parallel run and cutover
Optimize
Performance tuning, cost optimization, new capabilities
Ready to Modernize Your Data Platform?
Accelerate analytics, reduce costs, and unlock AI capabilities with cloud-native data infrastructure.
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