Most business intelligence tools were not designed to handle petabytes and terabytes of big data, nor are they equipped to handle real-time data.
And because businesses can’t analyze or visualize such data — such as from the internet, social media sites, server farms, mobile devices, and the Internet of Things — that means lost revenue.
New tools and approaches in fact are required to handle batch and streaming data; self-service analytics; and big data visualization – all without the assistance of the IT department. In this report from the Eckerson Group, you will learn:
- Types of data sources big data analytics platforms should support.
- Programming language compatibility.
- Query performance considerations and support for high-velocity data
- The importance of data integration, security, and embedded analytics.
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