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.

For people interested in Apache Mahout machine learning libraries, or interested in learning about machine learning in general.

We are a Bay Area user group focused on helping Datameer users share experiences, tech tips, solve big data analytic problems and solutions.  This group is for those who want to learn and advance their knowledge and use of Datameer.  Intended to be casual, this Meetup will encourage knowledge sharing and discussions set 'unconference' style.  At the beginning of the meetup, we will showcase a best practice then break out into discussion groups.  All Datameer related topics will be welcome.

… This is going to be THE group to join for information on application development, software engineering, OO, cloud, mobile, enterprise, business intelligence, HTML5, Hadoop, Python, Eclipse, JavaScript, JAVA, Machine Learning, HBASE, Mapreduce, Robotics, Erlang, jQuery, MongoDB, NoSQL, PHP, Agile, Ruby on Rails (RoR), Frameworks, IDEs, animation, design, node.js, twisted, Android, iPhone, iOS, UI/UX, social media, SEO/SEM/PPC, and how to turn applications and ideas into real business solutions an …

A San Francisco-based Hadoop user group focused on helping Hadoop users share experiences, problems and solutions, as well as learn new skills for building large-scale Hadoop-based systems.   Please fill out this short survey to help determine the best date/time for most people to meet - http://bit.ly/ajK26U.

This is a meetup group for users and contributors to Apache Sqoop (incubating).   Sqoop is a system designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases. You can use Sqoop to import data from external structured datastores into Hadoop Distributed File System or related systems like Hive and HBase. Conversely, Sqoop can be used to extract data from Hadoop and export it to external structured datastores such as relational data …

Today is the age of Scalable Systems and Big Data. Providing a meetup where we can discuss innovation, solutions and have pub nights for drinking and socializing.

This is a meetup for Bay Area users of Spark (www.spark-project.org), the high-speed Scala-based cluster programming framework. We'll be rotating among locations in San Francisco, Silicon Valley, and Berkeley. We'll also discuss other Spark-related projects, including the Hive-on-Spark port (Shark), and other new programming tools for big data. The meetup will include introductions to the various Spark features, case studies from current users, best practices for deployment and tuning, and futur …

For Advanced AWS topics that assume deep knowledge of AWS services.

Quarterly meetings of Oozie contributors. Users are very welcome to attend, however if space ever becomes an issue we reserve the right to prioritize accordingly.

Join us to learn about Hadoop and related technologies, including use cases, new features and exciting networking with other hadopp professionals.   See past meetups on YDNTheater Channel on YouTube, presentation slides available on Slideshare.  

There are demands for good mathematicians to write algorithms that can churn through billions or trillions of data points and show where patterns emerge. The Economist data issue raised this issue as follows: "During the recent financial crisis it became clear that banks and rating agencies had been relying on models which, although they required a vast amount of information to be fed in, failed to reflect financial risk in the real world. This was the first crisis to be sparked by big data—and …