Featured Author

Michael Hausenblas
Developer and Cloud Advocate, Mesosphere, Inc.

As Chief Data Engineer for EMEA at MapR, Michael Hausenblas helped people tap the potential of Big Data by bridging the technical (architecture, scalability, etc.) and the business side (RoI, TCO, etc.). His background is in large-scale data integration, the Internet of Things, and Web applications and he's experienced in advocacy and standardization (World Wide Web Consortium).

When not solving complex Big Data problems, Michael enjoys spending time with his three kids, reading books and, less frequently, practicing Shotokan Katas.

Author's Posts

Posted on January 19, 2015 by Michael Hausenblas

In this series of blog posts on the Internet of Things (IoT), we've initially established why IoT naturally lends itself to big data, reviewed the current IoT landscape and had a look at some IoT use cases (smart cities, smart phones, and smart homes). In this post, we'll discuss requirements for an IoT data processing platform as well as introduce a high-level architecture that is able to meet the requirements.

Posted on January 14, 2015 by Michael Hausenblas

A recent study found that by 2019, some 69% of consumers will own an in-home IoT device and companies all over the place have identified the opportunities around the so called smart home. For example, Samsung's CEO announced at the Consumer Electronics Show that by 2017, 90% of all Samsung products will be IoT devices and further: … five years from now, every single piece of Samsung hardware will be an IoT device, whether it is an air purifier or an oven. And Samsung is not alone: Bosch, LG, Wink, Google/Nest as well as crowd-funded projects such as Webee all aim at becoming the brain...

Posted on November 11, 2014 by Michael Hausenblas

After looking at the IoT landscape in our last blog in this series, I thought it would be meaningful to speak with someone with real experience. In this blog we asked an expert in the Community IoT domain about use cases and emerging developments concerning smart cities. Q1: Can you tell us a bit about yourself and the environment you’re working in (A*STAR)? My name is Mingding Han and I work at the Institute for Infocomm Research, under the Agency of Science, Technology and Research (A*STAR) in Singapore. I'm a systems engineer in the Sense and Sense-abilities (S&S) R&D programme...

Posted on November 18, 2014 by Michael Hausenblas

In this installment of the IoT blog post series we take a closer look at a sometimes underestimated IoT device: smart phones. A modern smartphone is equipped with up to 10 sensors, able to capture anything from location to the device orientation to light conditions. Collectively, these sensors produce a huge amount of data, both in unstructured form (picture or videos) as well as structured, such as GPS or acceleration data. With the rise of the wearables, such as Android Wear or the Apple Watch your smart phone increasingly plays and additional role.

Posted on November 4, 2014 by Michael Hausenblas

In the first installment of the IoT blog series we established what the Internet of Things means for businesses and that it lends itself to big data. This time we will have a closer look at the IoT landscape, that is, IoT software and hardware provider as well as community-related activities.

Posted on August 15, 2014 by Michael Hausenblas

This is the first in a series of articles around the topic of the Internet of Things and its relevance to big data. We will discuss challenges and opportunities, review real-world use cases and how people are benefiting from applying big data technologies to make the most out of the data coming from sensors, constrained devices and smartphones.

Posted on July 7, 2014 by Michael Hausenblas

I have a background  in Open Data and will say that this area has a lot in common with Open Source software. One of the core tenets is that of freedom. No single organization, independent of its size or accumulated brain power, can ever anticipate all things that are possible; be that with the data or be it with regards to code.

Posted on April 25, 2014 by Michael Hausenblas

The recent release of Apache Hive 0.13 prompted me to think about how far we are concerning serving both operational and analytical systems in the context of the Hadoop ecosystem.

Posted on March 25, 2014 by Michael Hausenblas

Big Data. Everyone from your Uncle Bill to your local mail carrier has heard the term in some form or another. However, the plethora of big data media coverage brings with it a lot of terminology that can be confusing, especially when it comes to data processing.

Here’s some orientation to key data processing terms you will encounter once you start to look deeper into the Big Data processing field:

1. Data stream management systems vs. database management systems

Posted on March 11, 2013 by Michael Hausenblas
Gartner Analyst Merv Adrian weighed in on “Hadoop Open Source, ‘Purity,’ and Market Realities” in his blog over the weekend.  He writes: “The fact is, there is an entire industry building products atop Apache open source code – and that is the point of having Apache license its projects and provide the other services it does for the open source community…


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