Data Engineering

Infostretch offers a holistic approach to data engineering and analytics that covers all the technical drivers required to fully capitalize on your enterprise data resources.

Enterprises have access to loads of data but most goes unused

It comes in all shapes and sizes — both structured and unstructured forms that include systems of engagement, systems of record, and social media.

But most of that data goes unused by the business for a variety of reasons:

• New high volume sources — social, public, machine
• Departmental operations in the cloud — sales, payroll, HR, marketing
• Changing requirements — new formats, analytics, data visualizations, persona-specific

Agile development and test environments today require a different approach that can take advantage of enterprise data to speed cycle time and drive new operational efficiencies.

See how Infostretch offer a comprehensive approach to “agile” analytics

Infostretch offers that and more – with a full array of data engineering services that cover all the business, financial
and technical drivers you need to capitalize on the wealth of data in your enterprise.

A proven process to capitalize on enterprise data

Reduce deployment risks and accelerate time to market

Assess & Qualify

• Understand the nature of the organization’s data
• Formulate big data strategies
• Build the business case for Big Data in the cloud to deliver value

Design

• Assess Big Data application workloads for deployment in private data center or the cloud
• Define solution architecture for organization’s needs

Develop & Operationalize

• Develop a technical approach for deploying and managing Big Data deployment on private data center or in the cloud
• Address governance, security, privacy, risk, and accountability requirements

Maintain & Support

• Deploy, integrate, and operationalize cloud-based Big Data infrastructure

Infostretch Data Engineering Services overview

This short video provides a good overview of our data engineering services and capabilities