Gartner Blog Network

Entries Tagged as 'Hadoop'


Hadoop Questions from Recent Webinar Span Spectrum

by Merv Adrian  |  February 25, 2015  |  1 Comment

This is a joint post authored with Nick Heudecker There were many questions asked after the last quarterly Hadoop webinar, and Nick and I have picked a few that were asked several times to respond to here. Just to be clear, we don’t generally give deep advice in blog posts – our blogs are descriptive, not […]

1 Comment »

Category: Amazon Web Services Apache Big Data BigInsights Cassandra Cloudera Elastic MapReduce Gartner Hadoop HDFS Hortonworks IBM Industry trends MapR Microsoft open source Oracle OSS Pivotal RDBMS     Tags: , , , , , , , , , , , , , , , , , ,

Which SQL on Hadoop? Poll Still Says “Whatever” But DBMS Providers Gain

by Merv Adrian  |  February 22, 2015  |  1 Comment

Since Nick Heudecker and I began our quarterly Hadoop webinars, we have asked our audiences what they expected to do about SQL several times, first in January 2014. With 164 respondents in that survey, 32% said “we’ll use what our existing BI tool provider gives us,” reflecting the fact that most adopters seem not to want […]

1 Comment »

Category: Apache Apache Drill Big Data Cloudera DBMS Gartner Hadoop Hive Hortonworks MapR open source Oracle OSS RDBMS Teradata     Tags: , , , , , , , , , , , , , ,

Who Asked for an Open Data Platform?

by Merv Adrian  |  February 18, 2015  |  4 Comments

This is a joint blog post between Nick Heudecker and Merv Adrian. It’s Strata week here in San Jose, and with that comes a flood of new announcements on products, partners and funding. Today’s big announcement came in the form of the Open Data Platform (ODP). A number of companies have signed on, but in […]

4 Comments »

Category: Accumulo Apache Apache Drill Big Data BigInsights Gartner Hadoop Hbase Hortonworks IBM Microsoft Pivotal Teradata Tez     Tags: , , , , , , , , ,

Hadoop Adoption? Moving, But Not Necessarily Forward

by Merv Adrian  |  February 18, 2015  |  3 Comments

Gartner’s quarterly Hadoop webinar in February 2015 showed that adoption of Hadoop is not rising quite as dramatically as some might believe. It’s flat compared to Q42014. Of nearly 1200 attendees, 465 shared their thinking with us via the usual polling, and the Deployed percentage was the same. Not that surprising for only 3 months between […]

3 Comments »

Category: Gartner Hadoop Industry trends     Tags: ,

Prediction Is Hard – Especially About the Future

by Merv Adrian  |  December 30, 2014  |  5 Comments

OK, I admit it – I stole the title from a much smarter man. I thought that man was Yogi Berra, but maybe not – more about that at the end of this post. Every year, Gartner issues a series of Predicts documents. This year I had the pleasure of doing one for my team […]

5 Comments »

Category: data lake data warehouse DBMS Gartner Hadoop IMDBMS Industry trends MySQL Oracle     Tags: , , , , , , ,

Hadoop Deployments: Slow to Grow So Far

by Merv Adrian  |  December 5, 2014  |  3 Comments

How have Hadoop deployments grown this year? Slowly. Here’s a little anecdata for you: During 2014, my colleague Nick Heudecker and I conducted quarterly webinars on the State of Hadoop, and in the Q2, Q3 and Q4 sessions we asked our (steadily growing) audience about their deployments via online polls. These results should not be considered […]

3 Comments »

Category: Apache Gartner Hadoop     Tags: , ,

Hortonworks IPO – Why Now?

by Merv Adrian  |  November 17, 2014  |  9 Comments

Last week, many observers were surprised when Hortonworks’ S-1 for an initial public offering (IPO) was filed. And there are good reasons to be surprised. Why now? CEO Rob Bearden told VentureWire not long ago that he expected to exit 2014 “at a strong $100 million run rate” in preparation for a 2015 IPO. What changed? […]

9 Comments »

Category: Apache Big Data Cloudera Gartner Hadoop Hortonworks HP Industry trends IPO MapR Microsoft Teradata Yahoo!     Tags: , , , , , , , , , , ,

Strata Spark Tsunami – Hadoop World, Part One

by Merv Adrian  |  October 31, 2014  |  10 Comments

New York’s Javits Center is a cavernous triumph of form over function. Giant empty spaces were everywhere at this year’s empty-though-sold-out Strata/Hadoop World, but the strangely-numbered, hard to find, typically inadequately-sized rooms were packed. Some redesign will be needed next year, because the event was huge in impact and demand will only grow. A few of […]

10 Comments »

Category: Accumulo Amazon Apache Apache Yarn Aster Avro Big Data BigInsights Cascading Cassandra Cloudera Cray Elastic MapReduce Gartner Hadoop HDFS Hive Hortonworks IBM MapR MapReduce Microsoft Spark Uncategorized YARN     Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Hadoop Is A Recursive Acronym

by Merv Adrian  |  October 13, 2014  |  3 Comments

Hopefully, that title got your attention. A recursive acronym – the term first appeared in the book Gödel, Escher, Bach: An Eternal Golden Braid and is likely more familiar to tech folks who know Gnu – is self-referential (as in “Gnu’s not Unix.”) So how did I conclude Hadoop, whose name origin we know, fits the definition? […]

3 Comments »

Category: Accumulo Apache Apache Yarn Big Data Cascading Flume Gartner Hadoop Hbase HDFS Hive Mahout MapReduce Oozie Pig Spark Sqoop Teradata YARN Zookeeper     Tags: , , , , , , , , , , , ,

Guest Post: Are You Pouring Pollution into the Data Lake?

by Merv Adrian  |  October 10, 2014  |  Comments Off

From my esteemed colleague Mark Beyer “Unstructured data” is a misnomer—everyone finally agrees on that much, at least. It is a term that is often applied to information assets that are not relational. Sometimes it is applied to machine data generated by operational technologies. Sometimes it is applied to content, like documents, or even less specific text […]

Comments Off

Category: Big Data data lake data warehouse Gartner Hadoop metadata     Tags: , , ,