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AI Workflow and Operations
Data Management and Operations
AI Governance
Analytics and Insights
Observability
Security Operations
Risk and Compliance
Procurement and Supply Chain
Private Cloud AI
Vision AI
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How Our Data Lakehouse Platform Works
Unlock unified data intelligence with our high-performance Data Lakehouse Platform. Store, process, and analyze all your data types in a single, governed environment—built for scalability, performance, and enterprise-grade security
01
Seamlessly handle structured, semi-structured, and unstructured data from databases, applications, IoT devices, and external sources with schema-on-read flexibility
02
Run SQL queries, Apache Spark jobs, machine learning workloads, and real-time analytics on the same data without movement or duplication
03
Implement enterprise-grade data governance with automated cataloging, lineage tracking, and fine-grained access controls across all data assets
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Empower business users and data scientists with intuitive interfaces, pre-built connectors, and collaborative workspaces for faster insights and innovation
Top 4 Features of Data Lakehouse Platform
Unified Storage for All Data Types
Store structured, semi-structured, and unstructured data in a single platform with open table formats like Delta Lake, supporting ACID transactions, schema evolution, and time travel capabilities for reliable data management at petabyte scale
Query Performance and Optimization
Execute lightning-fast SQL queries and complex analytics using intelligent query optimization, automatic indexing, and columnar storage formats with support for vectorized processing and advanced caching mechanisms for sub-second response times
Enterprise-Grade Data Governance
Implement comprehensive data governance with automated metadata discovery, data lineage tracking, fine-grained access controls, and built-in compliance frameworks supporting GDPR, HIPAA, and industry-specific regulations
Seamless Multi-Engine Processing
Run diverse workloads including SQL analytics, machine learning, streaming, and ETL processes on the same data using Apache Spark, Presto, and custom engines without data movement or format conversion overhead
Achieve Enterprise Data Excellence at Scale
Unified Data Architecture
Eliminate data silos and reduce complexity with a single platform that handles all data types and workloads. 60% reduction in data infrastructure costs, 80% faster time-to-insights
Enhanced Analytics Performance
Accelerate decision-making with warehouse-class performance on lake-scale data volumes. 10x faster query performance, 50% improvement in analyst productivity
Simplified Data Operations
Streamline data management with automated governance, quality monitoring, and lifecycle management. 70% reduction in operational overhead, 90% improvement in data reliability
Featured Use Cases
Delta and Data Lake Solutions
Unified Data Management and Analytics
Leverage the combined strength of Delta and Data Lake solutions to support scalable, fast, and consistent data operations for modern enterprises
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Data Lakehouse Architecture
Transformative Analytics Across Industries
Bridge data lakes and warehouses with Lakehouse architecture—empowering industry-specific analytics, performance, and collaboration at scale
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Batch Ingestion
Seamless Data Streaming into Lakehouse
Enable real-time and batch data flow into your Data Lake using Apache NiFi—powering immediate insights and operational agility
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Data Lake
Know the Difference and Choose Right
Understand the core differences between Data Lake, Data Warehouse, and Data Lakehouse to make informed decisions for your data architecture strategy
Unifying Data and Intelligence with a Lakehouse Architecture
Empower your enterprise with a unified Data Lakehouse platform that integrates real-time data, analytics, and governance—fueling smarter decisions, scalable operations, and industry innovation
Unified Data Workloads
Support multiple data types (structured, semi-structured, unstructured) across batch and real-time pipelines within a single platform
Built for Any Industry
Designed to adapt to the needs of diverse sectors—from healthcare and manufacturing to finance and retail
End-to-End Observability
Monitor, track, and optimize data pipelines and analytics workloads in real time
Real-Time and Batch Ready
Seamlessly manage hybrid data flows with built-in support for streaming and batch use cases
Governance and Compliance
Built-in data governance, lineage, and security capabilities ensure enterprise-grade control
Optimized for Scalability
Scale storage and compute independently to meet evolving business needs—on cloud, hybrid, or multi-cloud environments
Competencies
