Next-Generation Microservices-Based Data and Analytics Solution

Explore a microservices-based data and analytics solution designed to address scalability and data quality challenges in next-generation platforms. Discover how TCS and Red Hat leveraged OpenShift Container Platform to create an advanced architecture capable of handling increasing volumes of live, high-speed data from various structured, semi-structured, and unstructured sources. Through a live demo, learn about breaking down data and analytic silos, overcoming traditional big data system limitations, and managing multiple data sources for improved business decision-making. Gain insights into the solution's impact on Big Data & Analytics, business problems addressed, benefits, differentiators, features, and business drivers. Examine the technology landscape, architecture, and various components including customer analytics, clickstream transactions, sentiment analysis from Twitter, email, and customer surveys, as well as data integration techniques.

Intro
Impact of Big Data & Analytics
Business Problem
Our Solution
Benefits
Differentiators
Features
Business Drivers
Technology Landscape
Architecture
Flashback to before 'Customer Analytics'
The Problem Statement
Portfolio Manager
Clickstream Transactions
Customer Transactions
Sentiment Analytics - Twitter
Sentiment Analytics - Email
Sentiment Analytics - Customer Surveys
Data Integration