The early January IIoT analytics roundup

It's been a busy couple of weeks in the analytics world.  But then again, the start of the year often is when many people like to throw predictions out there.  Me, I try not to do that.  If I did, I'd only feel compelled to write another blog later in the year to confess to how wrong I was!  Anyway...

• How IoT Big Data is Going to the Dogs.  A bit of an oddball title (secretly wish I'd thought of it myself…), This post from Dr. Kirk Boone at Booz Allen Hamilton really embraces a number of themes that I've talked about as well - notably machine learning and putting analytics close to the data source to speed up reaction times.


• A third of all IT infrastructure spending now goes to the cloud.  From our friends and neighbors at IDC, this analysis shows the pretty dramatic ramp-up in cloud spending.  I think the cloud is inevitable as the foundation for many industrial IOT analytics applications.  The cloud can provide a kind of throw away agility that's just impossible with on-premise data processing.   As the IIoT generates more and more data, agility and low cost per terabyte - either stored or processed - will become more than merely "nice- to-haves".


• And to build on that thought, How Crowded Is “The Cloud”? looks at the density, for want of a better word, of cloud uses a number of companies.  For example, 46% of the survey respondents used for a more cloud-based applications.  If you follow the link you can download the report free of charge from one of the research underwriters.


• Splice Machine bags $9m to fund RDBMS on Hadoop and Spark.  If you've read my post before, you might recall that I'm not very bullish on Hadoop.  Or at least, I can't see it getting anywhere close to the big time for many industrial companies anytime soon.  (Oh wait, did I just make a prediction...?)  But, solutions like Splice Machine might be a good option for many companies to consider, effectively marrying a SQL interface to Hadoop.  What's not to love...?  Well the fact that this is a C funding round and it's only for $9m for a start....That's $31m in total - compared to Cloudera's one billion in funding.