Hadoop, in trouble? Only in Gartner-land | JavaWorld



Hadoop, in trouble? Only in Gartner-land | JavaWorld

More like this on IDG Answers Email a friend From Sorry RELATED TOPICS There are lies, damn lies ... and technology industry studies. Back in May,  Gartner released a survey  that crapped all over the Hadoop industry: Of the 284 CIOs polled by Gartner, only 26 percent claimed to be "either deploying, piloting, or experimenting with Hadoop." Even with the small sample size and large margin of error, these were depressing numbers -- ones that contradicted the level of adoption people like me are seeing in the real world. Well,  Gartner has been wrong before . Released today, a new survey commissioned by  AtScale  that surveyed more than 2,100 people offers results a whole lot closer to what those of us in the field encounter. Most dramatically, 76 percent of respondents said they plan to use Hadoop -- or are already using it and plan to use it more. Naturally, the AtScale numbers need to be taken with a grain of salt:

Read full article from Hadoop, in trouble? Only in Gartner-land | JavaWorld


No comments:

Post a Comment

Subscribe to: Post Comments (Atom)

Labels

Algorithm (219) Lucene (130) LeetCode (97) Database (36) Data Structure (33) text mining (28) Solr (27) java (27) Mathematical Algorithm (26) Difficult Algorithm (25) Logic Thinking (23) Puzzles (23) Bit Algorithms (22) Math (21) List (20) Dynamic Programming (19) Linux (19) Tree (18) Machine Learning (15) EPI (11) Queue (11) Smart Algorithm (11) Operating System (9) Java Basic (8) Recursive Algorithm (8) Stack (8) Eclipse (7) Scala (7) Tika (7) J2EE (6) Monitoring (6) Trie (6) Concurrency (5) Geometry Algorithm (5) Greedy Algorithm (5) Mahout (5) MySQL (5) xpost (5) C (4) Interview (4) Vi (4) regular expression (4) to-do (4) C++ (3) Chrome (3) Divide and Conquer (3) Graph Algorithm (3) Permutation (3) Powershell (3) Random (3) Segment Tree (3) UIMA (3) Union-Find (3) Video (3) Virtualization (3) Windows (3) XML (3) Advanced Data Structure (2) Android (2) Bash (2) Classic Algorithm (2) Debugging (2) Design Pattern (2) Google (2) Hadoop (2) Java Collections (2) Markov Chains (2) Probabilities (2) Shell (2) Site (2) Web Development (2) Workplace (2) angularjs (2) .Net (1) Amazon Interview (1) Android Studio (1) Array (1) Boilerpipe (1) Book Notes (1) ChromeOS (1) Chromebook (1) Codility (1) Desgin (1) Design (1) Divide and Conqure (1) GAE (1) Google Interview (1) Great Stuff (1) Hash (1) High Tech Companies (1) Improving (1) LifeTips (1) Maven (1) Network (1) Performance (1) Programming (1) Resources (1) Sampling (1) Sed (1) Smart Thinking (1) Sort (1) Spark (1) Stanford NLP (1) System Design (1) Trove (1) VIP (1) tools (1)

Popular Posts