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Big Data Analytics: Fierce Competition Among Cloud-Based Analytics Tools
New cloud tools for analyzing and visualizing Big Data are being released almost weekly by the major cloud vendors. For example, Google recently announced the launch of Cloud Datalab. AWS has Amazon QuickSight, and SAP, IBM, Microsoft and Salesforce have similar tools for analysis and visualization.
Google’s Datalab is more developer-focused and is based off of Jupyter notebooks which is a format for packaging code and visualizations into a single unit that make it easy to share with others.
Amazon’s QuickSight targets end users and provides an easy-to-use low-cost tool for building visualization and performing ad-hoc analysis.
Ian Kailn, Chief Data Officer for the Commerce Department, told online FedScope that “one of the benefits of these new cloud tools is to not only perform big data analysis, but to also make such tools more accessible to more users. Commerce has massive data systems – including those from the National Weather Service, the Patent and Trademark Office, and the Census Bureau – that can benefit from private-sector big data technologies. Because the data ecosystem is constantly evolving, emerging technologies, like these new cloud tools, can be applied to help expand the value and reach of official government data sets in order to build new products and services.”
