Enterprise Data Integration is a broad term used in the integration landscape to connect multiple Enterprise  applications and hardware systems within an organization. All these enterprise data integration lead to achieve to remove the complexity by simplifying data management as a whole.

Unified Data Management Architecture

Unified Data Management Architecture offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. More importantly, UDM utilizes a single storage backend with benefits of multiple storage systems which avoids moving data across systems hence data duplication, and data consistency issues. Overall, less complexity to deal with.

Common In-Memory Data Interfaces
It is a new data integration pattern. It depends on a shared high-performance distributed storage or a common data format sitting between compute and storage. Alluxio and Apache Arrow are sample for respectively. Apache Arrow has support for 13 major big data frameworks including Calcite, Cassandra, Drill, Hadoop, HBase, Ibis, Impala, Kudu, Pandas, Parquet, Phoenix, Spark, and Storm.

Machine Learning with Data Integration
Machine learning and artificial intelligence (AI) tools are based smart data integration assistants. These assistants can recommend next-best-action or suggest datasets, transforms, and rules to a data engineer working on a data integration project.

Event-Driven Data Flow Architecture
More and more organizations are jumping to the event-driven architecture with the view that it can provide real-time and fast the existing systems. To achieve this, organizations are utilizing distributed messaging system such as Apache Kafka, Message brokers. On top, they are implementing concepts such events, topics, event producers, and event consumers. A key aspect of event-driven data flow architecture is support for microservices architecture, and, more specifically, database per service patterns.

[1] https://tdwi.org/articles/2010/05/06/introduction-to-unified-data-management.aspx