Is Big Data as a Service in Your Future?: Page 2

The latest trend in on-demand service is big data analytics – but what exactly is it?


You Can't Detect What You Can't See: Illuminating the Entire Kill Chain

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HP is offering its own BDaaS, called HAVEn As a Service, a cloud-based method for enterprises to subscribe to several of its Big Data analytic products on an as-need basis. HAVEn is HP's brand for its Hadoop, Autonomy, Vertica and other BD products for processing and analyzing data.

EMC also has talked up BDaaS in a white paper (here in PDF format), which it promotes its own products like Greenplumb and Pivotal. Its services are built on four platforms: Cloud infrastructure, data fabric, data platform as a service and analytics software as a service.

Sharma added another element to BDaaS: governance. Data in the cloud has got to be secured. "Data governance is a must-have, and no longer merely a good-to-have," he wrote. Ignoring data security, data quality and data access can cost an organization dearly in terms of money, efficiency and reputation.

He also advocates breaking the operational tiers for data flow into logical groups to allow agility via loose coupling and abstraction. Finally, he says not to focus solely on the volume, variety and complexity of data. "Consider the whole cycle from the acquisition of data to the extraction of information, and consider the hygiene factors along this path," he wrote.

At the end of the day it's all about storing, analyzing and querying more data from more data sources. There's more than just the volume of data that you are storing, it's the speed at which you can acquire the data and act on it. The whole paradigm comes into play. It's not storing a lot of data and analyzing it.

Kaskade believes the future of BDaaS is something that doesn't involve a human looking at the data. We already have that in the financial services sector, he notes, where banks will alert a customer if there is a surprisingly large charge. That type of instant action will roll out everywhere. "Now a whole set of industries are applying complex event processing as well. They are acting on millions of streams coming in doing analytics in real time," he said.

As for what companies should deploy first, he said don't build a big sandbox of technology, because you might not need it. "What everybody needs to do is use case first and the questions that drive use case. That will dictate what you will buy. You might just need a SaaS app. Don't feel like you need to make a really big investment. Solve one problem and show your C suite what you can do before going for a bigger bite," he said.

Photo courtesy of Shutterstock.

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Tags: on demand, big data, Data Analytics, big data analysis

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