Data Semantics of the Real-time Web. http://dtrace.org/resources/bmc/DIRT.pdf

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.

For - IT managers, Ananlyst, Data Warehouse specialist, BI Developers, ETL developers, Data Architects, Business Analyst, BigData specialist, HANA, Hadoop, Hortonworks, Cloudera users

Hypertable is an open source project based on published best practices and our own experience in solving large-scale data-intensive tasks. Our goal is to bring the benefits of new levels of both performance and scale to many data-driven businesses who are currently limited by previous-generation platforms. Modeled after Google's well known Bigtable project, Hypertable is designed to manage the storage and processing of information on a large cluster of commodity servers, providing resilience …

… 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 …

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 …

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 …

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.

HBase is a robust, scalable, distributed, column-oriented store capable of hosting billions of row of sparse, structured data. HBase is open source and part of the Hadoop project. This meeting is for users and developers. Discussions will be around the most recent release of HBase, any issues users are having, and to help plan for the next release. Definitely come if you're a current user of HBase; or if your company has plans for a huge data store and you're evaluating solutions. Also check out …

R is an open source programming language for statistical computing, data analysis, and graphical visualization. R has an estimated one million users worldwide, and its user base is growing. While most commonly used within academia, in fields such as computational biology and applied statistics, it is gaining currency in commercial areas such as quantitative finance and business intelligence. Among R's strengths as a language are its powerful built-in tools for inferential statistics, its comp …

… Without us, data won't be collected. Without us, financing decisions cannot be made. Without us, companies cannot model their new products. Without us, installations cannot be monitored or controlled. Most meetups will be held at the Hacker Dojo in Mountain View.

The purpose of this meet-up is to focus on developer productivity tools:  a place we can showcase and share ideas to make life easier for us developers...  although SQL / SQL Server is mentioned prominently, this is due to the focus on data, but building complete applications which are based on SQL are also fair game.  The mention of SQL-Hero is not because anyone needs to have a working knowledge of this product or that it will receive prominent focus, but because Joel will inevitably demonstra …

Thanks for dropping by! Our group focuses on enterprise datacenter strategies including but not limited to: Cloud Computing, (Reinforcing the Open, Capable, and Affordable IT Infrastrcuture), Virtualization, Datacenter Management, Best Practices (Hardware and Software), and Innovative IT Ideas for the future!

Join award winning UX designer Phil Dupré and team for a small, informal discussion at Maprehend about managing and collaborating on projects visually. Often times managing projects is too complex to depend on just words for communicating. We learn visually very easily so why can't we have a way to visually communicate easily? Especially when it comes to some of the most difficult things to manage? Like projects involving several complex facets with several complex people. Even if you’re sitting …

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 …