Gartner Blog Network

Nick Heudecker
Research Director
4 years at Gartner
18 years IT Industry

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

How Can I Help? Breaking Down the Dallas Data & Analytics Conversations

by Nick Heudecker  |  March 12, 2018

At last week’s Data & Analytics Summit, I had 37 discussions with a range of end user and vendor attendees. As the chart below shows, the overwhelming topic for end users was the data lake. Over the course of 16 data lake discussions, there was little overlap in how different attendees understood the concept. Many […]

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2017 Research Retrospective

by Nick Heudecker  |  December 15, 2017

Here’s a recap of my published research in 2017. I’ve been fortunate to cover a diverse range of topics, including blockchain, cognitive enhancement drugs, streaming and DBMS. Market Guide for Hadoop Distributions As more Hadoop deployments move to the cloud and a monolithic platform is less relevant, vendors are reshaping offerings and targeting specific use […]

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Why Smart Drugs Will Start in IT

by Nick Heudecker  |  September 22, 2017

After seven months of work, my research on cognitive enhancement drugs (CEDs) in IT finally published. It published as part of Gartner’s annual Maverick project, which is a bit like an incubator for fringe research topics. Even publishing as Maverick, there are bound to be questions about the real likelihood of CEDs entering the IT […]

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Blockchain Pilots Highlight Need for Data Standards

by Nick Heudecker  |  September 9, 2017

In July, Marubeni Corporation and Sompo Japan Nipponkoa Insurance completed an international trade transaction using blockchain. Marubeni’s Japanese and Australian entities participated in the transaction, which apparently used Hyperledger Fabric and support by Mizuho. Digitalizing the process on the blockchain reduced the transaction time from days to a couple hours, while reducing labor costs. The advantage […]

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No, SQL Isn’t Disappearing

by Nick Heudecker  |  August 29, 2017

Occasionally, clients ask what the horizon looks like for a replacement for SQL as the dominant language for data management and analytics. They’re not asking about a replacement for the relational model – several alternative models exist already. Specifically, they’re looking for the next trend to manage and interact with data, regardless of data store. […]

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Google/Walmart Tie-Up Leaves Data Use and Ownership Unanswered

by Nick Heudecker  |  August 23, 2017

Google and Walmart have announced a partnership where Google Home users can purchase Walmart’s products using voice ordering. As Recode points out, the intent of the partnership is to blunt Amazon’s initial foray into voice-based ordering. Coming at this from the data and analytics perspective, my first question is what happens to the customer data […]

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Data Lake Webinar Recap

by Nick Heudecker  |  August 14, 2017

Last Thursday I presented the webinar “From Pointless to Profitable: Using Data Lakes for Sustainable Analytics Innovation” to about 300 attendees. While we don’t consider webinar polling results valid data for research publication (too many concerns about survey sampling), webinar polls can offer some interesting directional insight. I asked the audience two questions. First, I […]

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Five Levels of Streaming Analytics Maturity

by Nick Heudecker  |  August 2, 2017

Data and analytics leaders are increasingly targeting stream processing and streaming analytics to get faster time to insight on new or existing data sources. Year to date, streaming analytics inquiries from end users have increased 35% over 2016. I expect that trend to continue. In getting to real-time, these leaders are presented with a range […]

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Spark Summit West Recap

by Nick Heudecker  |  June 8, 2017

This year’s West Coast edition of Spark Summit continued the transition from a data science and data engineering event to an event focused on machine learning and, to a lesser extent, artificial intelligence. The summit content was accompanied by product announcements from Databricks (Serverless was the most notable) and updates to the Apache Spark project, […]

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Webinar FAQs for Hadoop & Spark: Understanding Open Source Opportunities and Risks

by Nick Heudecker  |  April 16, 2017

Merv Adrian and I received numerous questions during our April Hadoop webinar with several hundred attendees, and we have summarized and answered them below. (If you missed the webinar, you can watch it on-demand here.) How can Hadoop-Spark interface with conventional RDBMS such as Oracle/UDB/Teradata vs NoSQL DBs? Data can be moved to and from […]

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