Our Data Platform Services provide the foundation for a resilient, scalable, and future-ready data ecosystem. From strategy to execution, we help organizations unify, manage, and leverage data assets to accelerate decision-making and innovation.
Data Platform Services
SOLUTION OFFERINGS
Lakehouse-in-a-box
unify your data lake and data warehouse into one seamless platform.
Lakehouse-in-a-box combines the openness and scalability of data lakes with the structured performance and governance of data warehouses. It eliminates the need for multiple, disjointed systems by creating a single foundation for storing, processing, and analyzing all data types. This solution is designed for organizations that want faster insights, lower operational costs, and an analytics environment that’s ready for both today’s needs and tomorrow’s AI-driven demands.
Support for structured, semi-structured, and unstructured data in a single environment.
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Combine batch and streaming data pipelines for real-time and historical analysis.
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Reduce duplication by storing once, analyzing anywhere.

Unified Architecture

Pre-Built Deployment
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Delivered as a ready-to-use reference architecture, minimizing setup complexity.
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Pre-configured integrations with leading cloud providers (AWS, Azure, GCP) and on-premises systems.
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Accelerated deployment means you can go from design to production in weeks, not months.

Analytics & AI Ready
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Native support for business intelligence dashboards, advanced analytics, and ML/AI workflows.
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Enable teams to run SQL queries, train ML models, and build predictive applications on the same platform.
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Compatible with popular tools like Databricks Delta Lake, Apache Spark, and Snowflake.
Elastic architecture that grows alongside data volume and workload needs.
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Optimize compute and storage resources dynamically to reduce cloud spending.
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Pay-as-you-grow pricing models reduce upfront capital costs.

Scalable & Cost-Optimized
KEY BENEFITS
Future-proof your data platform for growth
Faster time-to-insight
by eliminating silos and reducing data movement.
Lower TCO (Total Cost of Ownership)
by consolidating multiple platforms into one.
Future-proof architecture
hat supports emerging AI/ML use cases.
Improved governance and compliance
with centralized control and auditability.
SOLUTION OFFERINGS
Data Integration and Automation
Break down silos. Streamline workflows. Accelerate insights.
Modern enterprises rely on data spread across countless applications, systems, and platforms. Without effective integration, this data remains fragmented and underutilized. Our Data Integration & Automation services ensure that data flows seamlessly across your ecosystem, enabling real-time insights, operational efficiency, and smarter decision-making.

Seamless Connectivity
Pre-built connectors to integrate data from cloud, on-premise, and hybrid sources.
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Support for structured, semi-structured, and unstructured data.
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Ability to integrate legacy systems with modern cloud-native platforms.

Automated Pipeline
ETL (Extract, Transform, Load) and ELT processes designed for speed and accuracy.​
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Data ingestion from multiple streams (batch and real-time).
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Automated transformations to cleanse, standardize, and enrich data before it reaches analytics.

Workflow
Resilience
Continuous monitoring of integration pipelines to catch errors early.​
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Self-healing workflows that reroute or retry failed processes.
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Reduced downtime and minimized manual intervention.

Faster Time-to-Insight
Real-time data synchronization across analytics, dashboards, and AI models.​
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Data delivered in business-ready formats without delays.
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Enable predictive and prescriptive insights faster, supporting agile decision-making.
KEY BENEFITS
From silos to synergy: accelerate insights and reduce costs.
Eliminate silos
by connecting all critical business systems.
Reduce operational costs
by automating repetitive and error-prone manual processes.
Accelerate analytics and AI adoption
with clean, real-time data streams.
Enhance agility
by enabling quick adaptation to new business demands or regulatory changes.
SOLUTION OFFERINGS
Data Virtualization
Access all your data without duplication
In today’s multi-cloud and hybrid environments, data is scattered across systems, applications, and storage layers. Moving and copying this data creates silos, drives up costs, and introduces governance risks. Data Virtualization solves this by providing a single, logical access layer that lets your teams query, analyze, and use data across all sources — without physically relocating it. This reduces complexity, lowers costs, and ensures faster insights.

Unified Data Access
Seamlessly connect to databases, cloud storage, SaaS applications, APIs, and on-premise systems.​
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Create a single point of access for analysts, data scientists, and business users.
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Reduce reliance on IT-heavy integrations and empower self-service data discovery.

Real-Time Insights
Query data directly from live sources, ensuring decisions are made on the most current information.​
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Enable dashboards, reporting, and advanced analytics without waiting for batch ETL loads.​
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Support mixed workloads — operational reporting, ad hoc queries, and AI/ML applications.

Cost Efficiency
Eliminate the need for multiple storage environments and redundant copies of data.​
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Reduce infrastructure overhead by querying in place rather than replicating data.​
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Streamline compliance and data retention by minimizing data sprawl.

Secure & Governed Access
Role-based permissions ensure that users see only what they’re authorized to access.​
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Centralized governance framework to enforce policies across all data sources.​
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Audit and compliance-ready logging to meet industry regulations.
KEY BENEFITS
One virtual layer. All your data. Zero duplication.
Lower costs
by eliminating redundant data movement and storage.
Accelerate insights
with real-time analytics on live data.
Improve governance
through centralized access and compliance controls.
Boost agility
by enabling new use cases quickly without re-architecting pipelines.
SOLUTION OFFERINGS
Data Platform Management
Keep your data infrastructure reliable, secure, and future-ready.
Data Platform Management ensures that your data environment — whether on-premise, cloud, or hybrid — operates at peak performance while evolving with your organization’s needs. It encompasses strategic planning, platform creation, and continuous optimization to maintain a robust and scalable foundation for all your data initiatives.

Roadmap to a Data Platform Strategy
Assess current data maturity and business objectives.​
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Develop a phased roadmap to align technology and growth goals.
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Define governance models, security standards, and scalability targets.

Creation of Data Platforms
Design and deploy data storage, processing, and integration environments.​
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Build data warehouses, lakes, and lakehouses using best-fit technologies.​
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Support both on-premise and cloud architectures with seamless interoperability.

Integration of On-Premise and Cloud Platforms
Enable hybrid environments that leverage the strengths of both setups.​
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Use connectors and automation for smooth data flow across platforms.​
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Ensure compliance, security, and performance regardless of where data resides.

Continuous Optimization & Governance
Monitor platform performance to ensure uptime and efficiency.​
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Implement proactive scaling, patching, and security enhancements.​
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Manage compliance, privacy, and data lifecycle policies across environments.
KEY BENEFITS
Reliable, scalable, and secure — your data platform, always on.
Reliability
Ensure continuous, high-performing data operations.
Scalability
Expand seamlessly as data and business needs grow
Security & Compliance
Maintain governance and regulatory adherence across all data environments.
Operational Efficiency
Reduce manual maintenance and optimize platform costs.
