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Research Retrospective for 2015

by Nick Heudecker  |  December 16, 2015  |  Submit a Comment

With another year coming to a close and the focus on 2016, it’s always interesting to look back at the research I was able to publish this year with my outstanding colleagues. I have to thank my frequent collaborators/conspirators Merv Adrian, Mark Beyer, Roxane Edjlali, Ted Friedman and Lisa Kart. (This research is for Gartner clients.)

Market Guide for Hadoop Distributions
6 Jan 2015
I believe this was my most read note this year, which is interesting considering the small (but growing!) size of the Hadoop subsegment of the overall DBMS space. The 2016 edition of this note will publish very soon, and it presents a very different view of the Hadoop space than you may expect.

Three Impacts the Internet of Things Will Have on Your Information Management Strategy
16 February 2015
I don’t get to collaborate with Ted Friedman very often, but I’m always pleased with the results when I can. IoT is a hot topic in the broader market, but the information management aspects frequently overlooked. This note opens the discussion on how enterprises should think about machine data, how it is stored and how it is governed. This should be a hot topic going into 2016.

What Apache Spark Means for Big Data
25 February 2015
Inquiries on Apache Spark have increased 204% YoY, and that’s just for the information and analytics team. This was Gartner’s first note exploring how Spark impacts your analytics plans.

Toolkit: RFP for Hadoop Distributions
24 April 2015
This was an interesting toolkit to put together. While its use can best be described as niche, it’s always a delight to talk to clients beginning their Hadoop RFP process and point them to a piece of research that can save them weeks, if not months, of work.

Survey Analysis: Hadoop Adoption Drivers and Challenges
12 May 2015
The Hadoop adoption survey was one of our more controversial notes in 2015. The genesis for this came from exhaustion over claims of irrational Hadooperance (credit to @merv) and a need to get a real understanding of the state of Hadoop use and adoption. Merv and I worked with our primary research team and the Gartner Research Circle (a global body of about 5200 members in various industries and geographies) to get a more accurate picture beyond the hype. We’re considering revisiting this survey in 2016 to see how the space has changed.

Defining the Data Lake
14 May 2015
In 2014 I lead a piece of research telling our audience what a data lake wasn’t. This year it was time to offer a definition and additional guidance on data lakes. I’m looking forward to working with my colleagues Mario Faria and Guido di Simoni on additional data lake research in 2016.

IBM Commitment Brings New Urgency to Spark Development
22 June 2015
IBM was the first megavendor to wade into the Spark space, and it did so in a big way. Today, IBM claims to have over a dozen products integrated with Spark. I, along with my colleagues on the information management team, are watching closely to see how IBM’s Spark investment impacts revenues.

DBMS Characteristics for the Internet of Things
25 June 2015
IoT is all about the data. Security, devices, etc., are interesting, but without data, there’s no IoT conversation worth having. And that data ends up in DBMSs. What do you need to think about if you’re dumping a bunch of machine and sensor data in a DBMS? This note answers that question.

Market Guide for NoSQL DBMSs
4 August 2015
The 2015 edition of this note will likely be the last. The NoSQL and traditional DBMS spaces are converging quickly. NoSQL vendors are adding SQL, or SQL-like, capabilities, while traditional vendors are embracing NoSQL features.

The Demise of Big Data, Its Lessons and the State of Things to Come
19 August 2015
Talking about big data as a unique or special form of data is pointless. Big data is just data. It’s the way analytics – and business – is done. That said, we can learn quite a bit from the way big data was marketed and sold. The “Demise” note looks at how to think about ongoing investment in information and analytics and how to identify and react to the next topic generating a mountain of hype around mythical value creation. (hint: it’s IoT).

Survey Analysis: Practical Challenges Mount as Big Data Moves to Mainstream
3 September 2015
The most significant findings in the third year of our big data adoption survey are the lack of production deployments and the general disregard for ROI on big data efforts. Next year we’ll close out this survey series by focusing on spending categories, ROI and where in the organization these projects are housed.

Rethinking Information Management for Bimodal IT
25 November 2015
Bimodal is a hot topic with our clients, particularly those focused on digitalization. One overlooked area has been the impact of bimodal on your enterprise information management strategy. This note starts that conversation and we’ll spend more time on it in 2016, as well as at our BI/EIM Summits.

Market Guide for Hadoop Distributions
15 December 2015
Somehow we managed to get the 2016 edition of this note published before the end of 2015. The market guide explores the changing positioning and competitive landscape of Hadoop distributors and how the overall DBMS/data management space is reacting.

Additional Resources

Predicts 2019: Data and Analytics Strategy

Data and analytics are the key accelerants of digitalization, transformation and “ContinuousNext” efforts. As a result, data and analytics leaders will be counted upon to affect corporate strategy and value, change management, business ethics, and execution performance.

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Category: data-and-analytics-strategies  dbms  nosql  

Tags: bigdata  dbms-2  hadoop  research  

Nick Heudecker
Research Vice President
5 years at Gartner
19 years IT Industry

Nick Heudecker is an Analyst in Gartner's Research and Advisory Data Management group. Read Full Bio

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