Big Data Oct 2026 Day 2

Focus on frameworks that ensure data governance, ethical model development, explainability, auditability, and compliance — building trust in data-driven decisions across the organization.

Explore techniques such as federated learning, differential privacy, and encryption to analyze sensitive data securely — enabling cross-organizational collaboration without compromising privacy.

Dive into how maintaining high-quality, consistent, and traceable data (through lineage and MDM) underpins reliable analytics, compliance, and accurate reporting across business units.

Compare modern approaches to data architecture — data lakehouse, data fabric, and data vault — to support efficient ingestion, management, storage, and governance at scale.

Discuss the design and implementation of streaming pipelines (e.g., Kafka, Flink), event-driven systems that process and analyze live data for dynamic decision-making and rapid business response.

Examine how organisations can leverage big data and advanced analytics to detect fraud, monitor risk, and secure operations — turning security data into actionable insights.

Explore the use of machine learning and artificial intelligence to build forecasting models, optimize supply chains, pricing, and resource allocation — enabling smart, data-driven operational decisions.