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 …
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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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 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 …
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 …
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 …
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Business measurement, modeling and metrics have become critical to businesses of all sizes and across all industries. In today's competitive environment, executives need to be at the top of their game when it comes to understanding their business performance. There is data everywhere about the market, competitors, customers and businesses, but getting to the core of the information, and turning that data into an advantage is challenging. This group brings together executives from multiple indust …
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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
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 …
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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This is a group of users and others interested in using and learning more about open source business intelligence tools grouped together under the name of Pentaho. These include Weka (machine learning), Kettle for loading data into a database (ETL), Montrian (OLAP), and other java-based applications for reporting.
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 …
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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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 …
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… The programs look at all aspects of business intelligence including analytics, reporting, online analytical processing, data mining, web analytics, business process intelligence, operational intelligence, business performance management, text mining, predictive analytics, competitive intelligence and more. We meet on the third Tuesday of each month at SAP Labs in Palo Alto. The cost to attend is $20.00. For SVForum members with proof of membership it is free to attend. For more information visit …
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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 …
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.
We discuss all things Big Data including tools, use cases and especially opportunities around this emerging area of large scale data
Bay Area Search Engineering Monthly Meetup Monthly presentation on topics of interest to search software engineers. Query Recall & Expansion (synonyms, spelling, autocomplete, related search) Machine Learning for Ranking (decision trees) Factor development for ranking (page factors, ecommerce factors) Search metrics (DCG, NDCG, RPref, etc.) Hadoop & Data Mining for Search (bipartite graphs, session analysis).
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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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