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The Big Data Analytics Speaker Series is an Adobe/Omniture sponsored speaker series that is open to the general public. Meetings will be conducted monthly in a workshop style meet-up at Adobe's downtown San Jose headquarters and present expert speakers from academia and industry to discuss topics related to the analysis of big data sets and range from tutorials to expert roundtable discussions and cover analytical models to best practices. There will also be specific topics related to mobile, so …
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This is a group for all Big Data professionals to include programmers, architects, platform specialists like Hadoop, MongoDB, GreenPlum, Cloudera, Hortonworks etc. We welcome Engineers, IT Professionals, Architects, Data Scientists, Analytics Experts, Sales and Marketing Professionals, Entereneurs. We will be holding lectures, tutorials, panel discussions, demos, hackathons and networking for all professionals. We will feayure local, regional and international conferences with world famo …
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The group is dedicated to developers and users of cloud storage and those dedicated to interoperability and open source. This includes implementers of cloud storage APIs, Big Data Analytics and even Archive and Preservation in the Cloud.
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 …
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Having never worked at Google, Yahoo, Facebook, or any other Silicon valley company widely applying MapReduce, as former Chief Scientist of several Silicon Valley start-ups, Analytics Architect of The LikeMinds Personalization Server, and former Sr. Software Engineer/Statistician at IBM, all of a sudden I'm being left behind. How about you? We are smart, superbly trained, exceedingly experienced in "big-data", power computer users, and programmers in dozens of now unfortunately passe' programmin …
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.
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This group is dedicated to organizing discussions, meetups, and events around data 2.0. The focus of data 2.0 is about utilizing the new avalanche of online data and new data-centric business models. The Data 2.0 organizers are also the producers of DataWeek.co Sept 22-27 in San Francisco as well as the Data 2.0 Summit (data2summit.com) We view "Old Data" is the practice of closing off your data, and data 2.0 hosting data online and making it accessible by other organizations. That includes bi …
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For - IT managers, Ananlyst, Data Warehouse specialist, BI Developers, ETL developers, Data Architects, Business Analyst, BigData specialist, HANA, Hadoop, Hortonworks, Cloudera users
Bay Area Storm Users is a group for developers and companies using Twitter's Storm real-time data processing and DRPC framework. We get together to discuss best practices, usage patterns, and to exchange ideas. Storm is a distributed realtime computation system. Similar to how Hadoop provides a set of general primitives for doing batch processing, Storm provides a set of general primitives for doing realtime computation. Storm is simple, can be used with any programming language, and is a lot of …
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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 …
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 …
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 …
A San Francisco and Silicon Valley based group focused on Oracle EPM / Hyperion - Essbase, Business Intelligence and Application Analytics, Big Data, Endeca, and Master Data Management. Please join us as we share user experiences, problems and solutions, conduct training sessions, as well as hear from industry experts, guest speakers, and Oracle on the latest developments.
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The Vertica Professionals group was created to provide a forum for those in the SF Bay Area to share tips, tricks and knowledge about using Vertica and it's ecosystem for analytics.
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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 …
Hive is a scalable data warehouse infrastructure built on top of Hadoop. It provides tools to enable easy data ETL, a mechanism to put structures on the data, and the capability to querying and analysis of large data sets stored in Hadoop files. Hive defines a simple SQL-like query language, called HiveQL, that enables users familiar with SQL to query the data. At the same time, this language also allows programmers who are familiar with the MapReduce fromwork to be able to plug in their custom …
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This group, sponsored by Objectivity, Inc., is related to the larger Silicon Valley NOSQL Group, with a focus on graph database technologies and solutions.
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Hi Everyone! As you know Professor Daphne Koller (Stanford University) has been kind enough to share & teach very interesting topic - Probabilistic Graphical Model (webpage https://www.coursera.org/pgm). Being actively interested in this area, I am forming this group for the engineering students/graduates/working professionals to discuss about the topics being taught, discuss assignments, form hangout groups(google+) and ask questions.
This Meetup group supports the SF Bay ACM Chapter. You can join the actual SF Bay Chapter by coming to a meeting - most meetings are free, and our membership is only $20/year ! The chapter has both educational and scientific purposes: - the science, design, development, construction, languages, management and applications of modern computing. - communication between persons interested in computing. - cooperation with other professional groups See official bylaws at http://www.sfbayacm.org/?at …
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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/clusterin
g/collaborative filtering that I haven't thought of are welcome!
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