We like scaling big systems, do you? ArchCamp is a meetup for engineers, by engineers. The goal is to talk about building systems (often at high scale) without having to listen to any sales pitches.   Event format: 20 min - mingle & discussion about the last event 40 min - lightning talks 5 minutes. (laptop setup is on your time, not ours) 60 min - open discussion about the topic du jour We have a meetup every 4 to 6 weeks   The cornerstone event for this meetup is the ArchCamp unconfer …

Our site is finally live.  You should really go over there and learn more about us. We are the largest community of technically minded people in the SF Bay area focused on founding startups. Our events are the port of entry for founders moving to Silicon Valley. We are EntrepreNerdial Outfitters. We are building systems for startups to get peer review, and connect with investors via Angel Office Hours. Startups who have successfully gone through Angel Office Hours can be invited to the Co-op, ou …

We discuss all things Big Data including tools, use cases and especially opportunities around this emerging area of large scale data

Discussion of NewSQL technologies and their use cases. Technologies of interest include: Hosted: Amazon RDS, SQL Azure, Database.com, Xeround, FathomDB; Stand-alone: HadlerSocket, Akiban, Clustrix, Drizzle, GenieDB, ScalArc, CodeFutures, Schooner MySQL, Tokutek, ScaleBase, NimbusDB, Continuent, VoltDB and Translattice

This group, sponsored by Objectivity, Inc., is related to the larger Silicon Valley NOSQL Group, with a focus on graph database technologies and solutions.

A Bay Area 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.

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 …

There are meet-ups and there are meet-ups! So, why add another meet-up? Well, we felt that it’s time that there should be a meet-up wholly dedicated to all things around “ Big Data” & “ Cloud Computing”. Mankind has never seen so much data as it is seeing today; Big Data is a serious challenge for all businesses, small and big. Cloud Computing technologies are changing the way we conceptualize, design & develop business solutions. These two buzzwords need to lose their “buzz” status and becom …

You have the questions? Our Gurus have the answers! Once every month, we will have one guru, in either Big Data or Cloud domain, answer questions impromptu from a small group of attendees , on a one-on-one basis. (Think MTV Unplugged!).  Questions can be technical ("I am trying to setup Hadoop on my laptop") or non technical ("I am trying to understand players in Hadoop world") These sessions will have no commercial bias whatsoever, no sponsorships, no sales or marketing pitches - just pure deve …

On a Hackternoon, Mobile meets Web meets Cloud. Use this Meetup to fill gaps in your personal tech stack. This Meetup has a strong educational focus through project deployment. We have no presentation; instead we learn by watching, asking, listening, and doing. We use a combo of Paired Programming, brain power, and a project deployment to help you stay caught up.  Usually we meet at a WIFI cafe or a co-working location like Ground Floor, Hacker Dojo, or NextSpace.

With technologies such as Google Prediction API and mahout, it should now be easier to add for your website users: recommendations, separate ham from spam, and predict what newsletter content they will not consider spam. Let's explore and discuss these new technologies together and how we can use and efficienly implement/deploy them in our websites/projects/communities. Other applications of prediction/classification/clustering/collaborative filtering that I haven't thought of are welcome!