Big Data & Analytics

Reference Architecture Models for Big Data and Analytics

By Arun Viswanathan

Reference architecture models for Big Data and Analytics derived from GlobalLogic’s domain expertise and leading industry standards.

Hyperautomation: Expanding Robotic Process Automation (RPA) with AI

By Juan Rella, Aldo Delpeso, Agustin Silva

Learn how Robotic Process Automation (RPA) and Artificial Intelligence (AI) can be used together to hyperautomate processes and improve your workflow.

Cognitive Automation in Healthcare Claims Processing

By Neha Kukreja, Vinaya Sharma

Cognitive automation is transforming healthcare claims processing by combining robotic process automation (RPA), artificial intelligence (AI), and intelligent document processing (IDP).

Shift-Deep Analytics: Insights from the Testing We Do

By Nitin Unni

This paper explains the Shift-Deep approach and the various toolsets, algorithms, and mechanisms required to execute it. We also look into a few use cases and examples where this has been done successfully.

Powering the Data Fabric Architecture with a Knowledge Graph Engine

By Rahul Barik

A Knowledge Graph Engine is an efficient way to utilize the data fabric architecture. Learn how to improve the way your data is organized and analyzed.

Distributed Data Mesh

By Viktor Klymenko, Volodymyr Trishyn

Data engineers use Distributed Data Mesh to overcome today’s data platform challenges. Learn how to implement this architecture into your organization.

Evolution of Data & Analytics Technologies (Part -2)

By Arun Viswanathan

Data analytics is a dynamic, rapidly shifting space. See how this evolution has impacted the way we develop applications and store data.

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Top Authors

Ravikrishna Yallapragada

Ravikrishna Yallapragada

AVP, Engineering

Lavanya Mandavilli

Lavanya Mandavilli

Principal Technical Writer

Oleksandr Fedirko

Oleksandr Fedirko

Senior Solution Architect

Mark Norkin

Mark Norkin

Consultant, Engineering

Deborah Kennedy

Deborah Kennedy

Associate Vice President,Client Engagement

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