Nik Rouda

Nik Rouda

Nik is a senior analyst covering big data, business intelligence, analytics, visualization, and other technologies that help people understand what is happening in their business. He enjoys working with early stage investors in validating both products and business models. He has a broad IT background spanning both infrastructure and applications, a customer-focused perspective, and extensive experience in marketing and technical sales worldwide.

Recent Posts by Nik Rouda:

Big Data, Database, ML and AI Spending Trends: What You Need to Know

Psst...hey buddy, are you an IT professional? Maybe interested in big data, databases, data warehouses, BI, machine learning, and AI? Planning to invest this year? Have I got a sweet deal for you! I can tell show you what your peers are planning. Top trends. Surprise insights. Hot stuff, but in the sense of interesting, not stolen. Check out this little number:

61%

Topics: Big Data Data Management database artificial intelligence

The Big Data Bubble Rises

As the father of two girls, I have deep appreciation for a fascination with bubbles. They are easy to make, they're shiny, and they float carelessly with the breeze. That said, a big bubble is much harder to create and more fragile than dozens of little ones. The loss is felt more acutely.

Topics: Big Data Data 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

Delta-V Awards - 2016 Edition - The Top Five

Ladies and gentlemen, data scientists of all ages, here is the big finale to 2016. The ne plus ultra companies that have accelerated and improved their positions in the big data and analytics marketplace. It's been no easy task to select, much less rank, all the top 20. I'd like to also note once more that there are many, many other worthy companies ticking right along and executing on their vision, earning new customers, and generally succeeding. And yes, it's all a bit subjective, but I truly believe these are ones that have made the most progress. Here are my final five choices:

Topics: Analytics Big Data Data Management Teradata MapR Amazon Web Services delta-v awards google cloud platform Confluent

Delta-V Awards - 2016 Edition - 10 to 6

New to this year's Delta-V citations? Check out our previous winners ranked 20 to 16 here and 15 to 11 here. As we move into the top 10 count down, it's probably worth a reminder that these 20 companies were chosen for their impact on the big data and analytics market. They aren't necessarily ESG clients, either, in fact fewer than half have done any official project work with me in the past year. It's all about recognizing innovation, pure and simple. That said, let's roll right into the next quintet!

Topics: Analytics Big Data Data Management Oracle bluedata delta-v awards Cask Qubole ClearDB

Delta-V Awards - 2016 Edition - 15 to 11

If you're just joining us now, please see the previous post for winner numbers 20 to 16. We'll continue to recognize the top 20 companies that accelerated the big data and analytics marketplace this year with a countdown from 15 to 11 here:

Topics: Big Data Data Management Data Analytics