Implementation Patterns Fundamentally, there are two implementation patterns—single container and multiple containers. The differentiation between these two patterns is based on the “container” each of the logical hubs is implemented in. Single Container In the single container approach, all three Figure 11: Single Container Table 1: Deployment Strategy logical hubs are contained within the big data platform or data lake. It also ensures that Single Container Green Field on Data Lake the functionalities of each of these hubs are Cloud or on-premise solution implemented within the data lake. Only a sub set of core MDM implemented From an on-premise standpoint, typical tools Logical & Contextual & Integration Hub Analytical Hub Graph-based master and integration could include Hadoop/Spark/HBase for the Digital Data Hub, Hive or Kudu for the integration data repository hub and Neo4j for the information hub. S3, EMR, Digital data technologies— Snowflake, DynamoDB or Neptune could form Hadoop, Cloud, NoSQL (graph, columnar) the basis for a cloud single container approach. Digital Data Hub (IDF) Flexible integration with existing enterprise MDM solutions Copyright © 2019 Accenture. All rights reserved. Meet Your Digital Master 33