7 Meetup Groups match “HDFS” near San Francisco, CA
Data Science! It's all the talk these days! Our team, 0xdata, wants you to join the discussion about our new fast analytics engine, H2O. H20 is ran on top of HDFS. H20 makes it possible to learn bigdata at scale. H20 guarantees one thing: move code, not data. move fast. Join our group! Join the discussion!
What: Monthly meetings with hadoop contributors on relevant issues. Target Audience: Active contributors to Hadoop HDFS and MapReduce projects. Where: Rotating venues. When: Monthly, normal business hours.
Group for anyone using Apache Hadoop and wanting to be productive with data analysis. In particular with Hue, a Web application providing access to MapReduce, Hive, HDFS, Oozie, Impala, Pig, Sqoop2. Also interested in hearing about use cases, pain-points... about using Hadoop and how the end user experience could be improved. Hue open source project: http://gethue.com
This group is for everyone interested in real-time access to big data. We welcome developers, data scientists, analysts - everyone trying to figure out how to get access - and analysis - quickly; data in HDFS, S3, NoSQL databases, etc. Why did I form this group? There are a number of interesting Open Source and proprietary solutions trying to provide real-time access to Big Data and a high density of folks here in the Bay Area working on solutions. Industry analysts are saying "this is the year …
This is a group for all Apache Hadoop users interested in solving big data challenges. We'll look at topics from data architecture, to technical deep dives, to the future of Hadoop and everything in between using the knowledge we have at Hortonworks. Want us to come to your area? Suggest a meetup and location.
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This is a meetup group for users and contributors to Apache Flume (incubating). Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. Its main goal is to deliver data from applications to Apache Hadoop's HDFS. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. The system is cent …
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I am planning to form this group to have hands on all Distributed Databases technologies and build our own hadoop cluster and use various hadoop flavors including Hadoop,HDFS,Hive,Pig,HQL. Also have hands on all Nosql Technologies like Cassandra,MongoDB etc. We would also like to go over R programming tool as part of Haddop Analysis. We would like to compare Hadoop vs any Relational DB and MPP Dbs to find some of the use cases where it could really helpful . Also we would like to solve some Indu …
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