View from the Top by Robert Nagle, Vice President, Data Platforms
Today’s great data science challenge is to achieve situational awareness—knowing what’s going on around you so that, when something changes, you can react immediately. What is the right data platform for this?
From a business perspective, users need to leverage all their data, both structured and unstructured. They don’t care where the data is located or how it is stored. They want insights delivered when they need them, with the ability to interrogate the underlying data to take the appropriate action.
Data comes in many forms and at many scales, as the three V’s of Big Data remind us. The platform must be versatile enough to handle all data forms and provide vast horizontal scalability to ingest massive volumes of data.
But how to consistently interrogate the data? There is a simple answer: SQL. It is the lingua franca for querying data for thousands upon thousands of existing applications. A new query language is not needed.
The data science platform must:
- Support many data forms interchangeably—key-value, document, graphs, tables, objects, etc.
- Handle both structured and unstructured data
- Provide very high-performance SQL
- Support real-time production systems, not just data warehouses
- Demonstrate vast horizontal scalability
Since 1978, InterSystems has been developing database, analytics and integration technologies that work across disparate systems to deliver insight. InterSystems has the advanced technology to ingest large data volumes, regardless of data model, and to enable ad-hoc SQL queries across any of the Big Data paradigms as if they were one database—with scalable performance.