Big Data

June 12, 2014

Discussion: How to Evaluate NoSQL Databases

I'm hosting a webinar with William McKnight, founder of McKnight Consulting Group and analyst for Gigaom Research, and Anil Madan, Senior Director of Engineering at PayPal. William will be discussing his new white paper, NoSQL Evaluator's Guide. Anil will be discussing how PayPal leverages NoSQL.

NoSQL Evaluator's Guide presents a framework for evaluating NoSQL databases for the enterprise. It begins with an overview of NoSQL technology, features and models, and concludes with evaluation criteria. William will present this evaluation guide.

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June 11, 2014

The Internet of Everything, the Pinnacle of Convergence?

Is the Internet of Everything the pinnacle of convergence? Yes. Yes it is.

It's where mobile, IoT / M2M, cloud and big data converge.

Where? The smart refrigerator. Again (link).

IoT / M2M

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June 2, 2014

The Internet of Things, it's not Big Data

That's right. The Internet of Things is not big data. It's continuous data. If big data is an ocean, continuous data is a tributary. And...

A tributary does not flow directly into a sea or ocean. Wikipedia

Nor does data flow directly into a big data platform. A big data platform is volume. It's not velocity, and it's not variety. It flows directly into a stream processor and / or database, relational or NoSQL, before it flows into a big data platform.

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May 1, 2014

MongoDB + Big Data, Almost There

When it comes to big data, MongoDB is almost there. It's a start, and that's a good thing.

Discuss on Hacker News
Discuss on Reddit

Background

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April 29, 2014

When Big Data is Slow

The key to being successful in big data initiatives is being able to manage the speed, scale and structure at sub-millisecond speed.

Big Data is a big term. It encompasses concepts about data types, dozens of different technologies to manage those data types and the eco-system around all those technologies. And everything in it moves fast!

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April 9, 2014

Modern Big Data > Hadoop

That's right. A modern big data solution requires more than Hadoop. Welcome to the data, it's all big and fast.

Welcome to Big Data Central

Discuss on Hacker News
Discuss on Reddit

I'm excited to announce that Big Data Central is live!

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March 6, 2014

The Big Data / Fast Data Gap

Big Data

Apache Hadoop the big data platform. It was designed to derive value from volume. It can store and process a lot of data at rest, big data. It was designed for analytics. It was not designed for velocity.

It’s a warehouse. Is efficient to add and remove many items from a warehouse. It is not efficient to add and remove a single item from a warehouse.

Data sets are stored. Information is generated from historical data, and you can retrieve it. Pure Volume

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