Stephen G. Bennett

Areas of Data Responsibility

By: Stephen G. Bennett Jul 13, 2015Nov 13, 2018

Integrationdata integration, data lake, IntegrationLeave a Comment

I tend to rely on a notion called Areas of Responsibility when I need to architect a data focused solution.

Customer Experience (CX)

By: Stephen G. Bennett Jul 26, 2014Nov 26, 2018

DigitalCX, DigitalLeave a Comment

Disney have coupled human with technology customer service very well In general the overall the customer experience was very good if sometimes intrusive.

Open Group Publishes Standard for a Cloud Ecosystem Reference Model

By: Stephen G. Bennett Jan 3, 2014Nov 18, 2018

Cloud, Publicationsarchimate, architecture, Cloud, principles, technology adoption, TOGAFLeave a Comment

Originally from the UK, I go back frequently to visit family. During this Christmas visit the OpenGroup published their standard for a Cloud Ecosystem Reference Model.

MDM Patterns

By: Stephen G. Bennett May 31, 2013Nov 18, 2018

Integration, MDMdata integration, Integration, MDM, patternsLeave a Comment

There are a number of architectural approaches and patterns to provision a quality single version of the truth with respect to key business entities and reference entities.

MDM Aware Consumers

By: Stephen G. Bennett May 10, 2013Nov 18, 2018

Integration, MDMgovernance, MDMLeave a Comment

Once a MDM system is available we now need other applications to make use of it. This is where MDM Aware consuming applications comes into play

Building a Master Data Management (MDM) System

By: Stephen G. Bennett May 3, 2013Nov 18, 2018

Integration, MDMarchitecture, MDM, patternsLeave a Comment

I have worked with many enterprises who have attempted to architect their own MDM system. This is no simple task and you should consider all options before proceeding.

Data Stream Engines

By: Stephen G. Bennett Feb 23, 2013Nov 17, 2018

Integrationdata integration, Integration, patternsLeave a Comment

The Data Stream Capture Engine tends to be a distributed engine that efficiently captures, aggregates, and ingests large amounts of streamed data such as log data

Data Replication & Synchronization

By: Stephen G. Bennett Feb 22, 2013Nov 13, 2018

Integrationdata integration, IntegrationLeave a Comment

Replication & Synchronization enables the creation and maintenance of one or more synchronized standby data stores that protect data from failures, disasters, errors, and corruptions. It can address both high availability (HA) and disaster recovery (DR) requirements.