The layers are typically built from components Figure 4: Digital Data Supply Chain Architecture that include a big data platform, streaming and complex event processing, ingestion Application framework, in-memory databases, cache Service Interface Layer clusters, data warehouse, NoSQL, analytics, AI, machine learning and search engines. Traditional Relational Distributed Cache In-Mem DB NoSQL IDF can help businesses bridge the gap between traditional MDM and emerging data realities. The focus is to enable sustainable, Query Engine trusted intelligence by empowering businesses Streaming to consume enterprise data widely delivered Event In-Mem Analytics Processing Big Data Core at speed and scale. This enables the Search transformation and evolution of traditional MDM to the new digital master data. So, how do we design the Transfer (Batch, Stream, Interactive) digital master data solution? Sources Copyright © 2019 Accenture. All rights reserved. Meet Your Digital Master 20