The DataWalk Knowledge Graph_ Data Mashup On Steroids

Blog article
by Bob Thomas

The DataWalk Knowledge Graph:
Data Mashup On Steroids


The concept of a data mashup has been around for years, but the DataWalk knowledge graph takes this to the next level.

The general concept of a data mashup is to combine multiple data sets together can enable you to make new discoveries and gain new insights. Dashboards have perhaps been the most common examples of data mashups, with data pulled from several different data silos and presented in one coherent visualization.

Recently the landscape of data mashups has undergone a major change with the increasing popularity of knowledge graphs. A knowledge graph can enable many data sources – tens or hundreds of them - to be quickly integrated into a single data structure. Going one step beyond a traditional data mashup, some knowledge graphs can enable data to be re-organized such that it can be modeled not around the data sources, but instead around a set of interconnected business objects such as customers, phone numbers, transactions, accounts, or anything else.

DataWalk is a graph analytics platform that enables you rapidly fuse your vast amounts of complex data in a knowledge graph, and then quickly discover hidden patterns, networks, and connections. The Universe Viewer thus represents the ultimate data mashup. You can quickly import, transform, and connect data from many sources into a single, highly flexible model. You can re-organize data around any business objects that are relevant to your organization, as the structure is completely flexible. When needed, you can easily add new data sources to the knowledge graph, without interrupting system operation.

Taking the data mashup concept one step further, with DataWalk you can then query the data via this same knowledge graph, simply by filtering on data sets and the inter-connections between data sets. With this approach you can easily generate ad-hoc, no-code complex queries, and unique DataWalk technology enables even highly complex queries to quickly complete. You also can analyze data via machine learning, link analysis, and various other techniques.


With the DataWalk knowledge graph, you can realize the promise of data mashups, which is to be able to get new insights by combining together multiple data sets.

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