Picking The Right Data Management Platform - How it helps you Operationalize Data Science
Data Science is transforming how commercial and government organizations are doing business. It holds the promise to put empirical analytics in the drivers seat as organizations seek operational efficiency and excellence.
In C2ISR and Threat Management this is particularly the case as the deluge of data challenges existing methods of business intelligence and statistical analysis.
The issue is that Data Scientists need breathing room to fail fast, experiment, and focus on the creation, testing, and optimization of algorithms and models for revealing or perhaps predicting behaviors, patterns, and anomalies.
Unfortunately, along the way to to pursuing the promise of Data Science and Big Data Analytics, the main thrust of open source projects like Hadoop and Spark are built for tinkerers. You end up spending more time ingesting, cleansing, aggregating, and shaping data rather than the analysis part. This is particularly the case when unstructured and poly-structured content is part of the mix.
This 45 minute workshop will provide a historical overview of data management, key attributes needed to operationalize Data Science and how this relates to ISR and Threat Management environments.