What you coulda read on Industrial IoT analytics last week

A wide range of things to keep on top of from across the IIoT ecosystem from last week:

• The Data of Things: How Edge Analytics and IoT Go Hand In Hand.  At lot of themes in here that align with my thinking, so how could I not like it...?  First, big data does not equal Hadoop.  Second, the streaming and real-time dimension of big data is becoming more important because of IoT.  Third, real-time demands are going to decentralize analytics and move it to the edge.  What's not to love...?


• Splunk retools its log analytics platform for the Internet of Things.  Splunk is an interesting company, with its roots in M2M analytics, primarily IT logs.  It's not a huge leap from that origin to providing analytics for the Industrial Internet of Things. Dealing with a higher data rate is probably the most significant change required, and that's in hand.


• Data Blindness: Why We See Data And Don’t Act.  A short read on the psychology of decision making, enjoy...


• Google Launches Cloud Dataproc, A Managed Spark And Hadoop Big Data Service.  You may have noticed, I'm not the most bullish analyst on Hadoop.  But, on the other hand, I do like the cloud.  What could be better then than a cloud solution that hides the complexity of Hadoop...?


• Apache Kudu: How Cloudera wants to save Hadoop by killing it.  Part of the current challenge with Hadoop adoption is the rate at which it's evolving.  I think only true innovators - i.e. a tiny fraction of the potential market - will enjoy getting involved with Hadoop until there is much more stability.


• How the cloud actually makes IoT more secure: Arrayent founder on IoT trends.  One reason I like the cloud is because I think it has the potential to be more secure than on-premise data centers.  Simply put, industrial companies will become far more connected as they adopt IIoT.  And yet, will they all be able to afford/attract top-tier data security talent...?  Not likely.  The cloud is one way to put a lot of the data security responsibility into the hands of experts - experts you can actually drop a lawsuit on if they screw up...


• StreamSets bags $12.5 from big-name VCs to simplify data transportation.  As noted above, big data is every bit as much about managing fast moving data as it is data volume.  Integrating a variety of different data sources isn't easy either.  Streamsets is one possible option that is new to me.


• Omniata wants to unify all your data silos.  Ditto Omniata, another new solution for integrating streaming data and unstructured data with more conventional data.  Initial traction in the e-commerce world, but I can see a lot of e-commerce and internet business technologies spilling over into IIoT.