Modern Data Engineering

Data made available faster, more accessible, and actionable through discovery, automation, simplicity and repeatability to accelerate digital transformation. native transformation 3x faster than industry average.

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Why Modern Data Engineering
is important?

Data is the new oil of the modern economy and the ability to mine data at scale determines the growth and relevance of enterprises.

Consolidating data across all existing and new, static and dynamic sources and hosting on the cloud saves cost, expedites insights, and helps generate new growth opportunities.

Harnessing data at scale, especially ephemeral data to generate just-in-time experiences is the new pedestal to meet with consumers at their terms.

Making data available across cloud boundaries and organizational boundaries with the adequate redaction enables crowd-sourced insight generation that is transforming enterprises.

A robust cloud-agnostic data platform is the core engineering investment that forms the foundation of digital transformation and ensures that no insight is lost in translation.

Large scale database modernization to cloud-native data structures helps reduce the operational burden of converting content to insight.

Data reliability engineering with the ability to port any database, on any compute and host on any cloud at customer terms is the new normal.

With the right architecture and platforms in place, DataOps can be designed to run in parallel to DevOps, de-shackle data gravity and secure the vision of a new dawn for developers.

Why Modern Data Engineering
is important?

Business Factors

Data is the new oil of the modern economy and the ability to mine data at scale determines the growth and relevance of enterprises.

Consolidating data across all existing and new, static and dynamic sources and hosting on the cloud saves cost, expedites insights, and helps generate new growth opportunities.

Harnessing data at scale, especially ephemeral data to generate just-in-time experiences is the new pedestal to meet with consumers at their terms.

Making data available across cloud boundaries and organizational boundaries with the adequate redaction enables crowd-sourced insight generation that is transforming enterprises.

Maintaining ageing applications costs more, so modernizing legacy apps lead to reduced operational costs.

Technical Factors

A robust cloud-agnostic Data Platform is the core engineering investment that forms the foundation of Digital Transformation and ensures that no insight is lost in translation.

Large scale database modernization to cloud-native data structures helps reduce the operational burden of converting content to insight.

Data reliability engineering with the ability to port any database, on any compute and host on any cloud at customer terms is the new normal.

With the right architecture and platforms in place, DataOps can be designed to run in parallel to DevOps, de-shackle data gravity and secure the vision of a new dawn for developers.

Capabilities

Across all the subservices, we provide
the following

We ensure

Lower TCO

We Ensure both Opex and Capex saving with smartly developed business cases and overall cost reduction

No vendor Lock In

Run all frameworks on containers and ensure no vendor lock- in with our Hybrid and multi cloud solutions

Simplified Management

Unified Dashboards and policy enforcement across disparate cloud environment

Embedded Security

Production grade security with intelligent behaviour analysis and anomaly detection

Interested in finding out how you can transform your business with our services?