Cloudera Builds Strength and Agility

Haters gonna hate on Hadoop, but they've confused 'tween growing pains with weakness. The broader Hadoop ecosystem continues to mature at a very healthy pace. Even if the players are starting to outgrow the labels of "Hadoop" and "big data," leading companies in this sector will continue to build on what is now established to be a strong core. Perhaps most prominent among these young varsity athletes is Cloudera.

Cloudera has long enjoyed the popular attention of the market. More than 1,000 customers use Cloudera in more than 60 countries today. Technology vendors and channel partners have associated themselves with the cool kid. At last count, Cloudera has over 2800 partners, and that number includes 450 ISVs, of which 388 are certified, bringing 184 partner-developed solutions, of which 120 have been verified in production, and 44 are available in a ready-to-roll solutions gallery. Meanwhile big names like Intel and Michael Dell have provided significant scholarships to fund the company's development.

Topics: Data Management & Analytics Data Management Cloudera IPO big data and analytics

IBM Interconnect 2017: Sharpening IBM's Enterprise Focus

It certainly is an exciting time in the cloud landscape, with all the major vendors starting their summer show season and making their major announcements. At first glance, it can be a confusing world, with all the vendors giving similar messaging and along with it, promoting extremely similar features and functions.

One of the prime differences between the cloud vendors is how they are reaching out to and marketing at enterprise customers. For the "new," cloud-born vendors, much of their work started either with consumer applications or by getting new, emerging companies to use their services. Great examples of this would be Amazon Web Services (AWS) and Google Cloud. AWS certainly has ramped up its enterprise focus over the past two years, with a growing enterprise sales force and new purchasing options. As I noted in my blog about Google Next 2017, Google has made a significant shift with a new go-to-market effort for enterprise customers and new product announcements with a distinct enterprise product set. Both of these companies are leveraging their innovations and targeting enterprises with them.

Topics: IBM Cloud Computing IBM Connect big data and analytics Systems Management

Highlights from Spark Summit East

Over the last couple of days, I've enjoyed meeting with business and technology leaders around Apache Spark. Hosted in Boston this time, the Spark Summits in general have become great forums to learn about what's new, what's working, and what's coming up next. Here are my quick takes if you weren't able to attend (and missed the thunder snowstorm, WHAT?!?) Highlights included:

Topics: Data Management big data and analytics spark summit apache spark

2017 Big Data & Analytics Predictions: Part 3: Pipelines

What's coming down the pipe in 2017? The pipe itself. Expect even more gains around streaming data pipelines, not merely for analytics but for processing too. Market conditions are right and offerings are hitting the needs of more enterprise use cases. Watch the video below to learn more:

 

 

 

 

Topics: Data Management big data and analytics 2017 predictions pipelines

2017 Big Data & Analytics Prediction: Part 2: Machine Learning (Video)

It doesn't take a supra-genius AI to predict that machine learning will continue to get better this year. Yet, there is a disconnect between the public Hollywood view of technology and the current limitations. Check out the video below for my ideas on how the gap will begin to narrow:

 

 

 

 

 

Topics: Data Management machine learning big data and analytics 2017 predictions

2017 Big Data & Analytics Predictions: Part 1: The Cloud (Video)

It still feels strange to write "2017" on checks, but that's probably because checks are a financial anachronism at this point. In any case, a new year is well upon us, and that means we need to be looking forward to the three biggest big data and analytics trends that will impact our industry of insights. First in the series today is all about the public cloud. Watch the video below for my hot take:

Topics: Cloud Computing Data Management big data and analytics 2017 predictions

Checking on Kudu

Compromise is tough. I'd like a new car that gets over 50 miles per gallon, with 500 horsepower, comfortably seats 8, fits in a small parking spot, looks great, and costs less than $25,000. Not happening anytime soon.

Big data architects want it all. Efficient, fast, scalable, convenient, innovative, and inexpensive. They may have better options with Hadoop than I do with car buying. While HDFS and Hbase have proven themselves as sound choices for file system and NoSQL database approaches, Kudu is stepping up as a relational database that fits squarely between them.

Topics: Data Management data warehouse big data and analytics kudu relational database

How the US Election Polls Failed Us...

...and what it means for big data and analytics.

Topics: Data Management big data and analytics election