Open Source

10 results

MongoDB at OSCON 2014

This past week, MongoDB took a trip to Portland, Oregon for the 16th annual O'Reilly Open Source Convention (OSCON). OSCON is always a great time, with over 4,000 open source enthusiasts in attendance and hundreds of open source projects represented, including MongoDB. MongoDB Engineers Trisha Gee, Jesse Davis, Sam Helman and I all presented at the event and you can find links to our presentations below. One thing we noticed this year: Open Source is no longer on the fringe. Hundreds of organizations such as PayPal, Twitter, HP and Google are investing millions into the creation and maintenance of Open Source software both for internal and external use. These tech behemoths have discovered that Open Source promotes better quality development through transparency, encourages employee retention and builds brand awareness in the tech community. At MongoDB, we want to encourage the adoption of Open Source technologies to make development simple and beautiful. At the MongoDB booth, we offered attendees the chance to win a free trip to Dublin for a MongoDB training in September. We were overwhelmed by the excitement for the grand prize and our limited edition MongoDB Mugs pictured below. We are pleased to award the trip to Thothathri Srinivasan, a Software Engineer at Groupon’s office in Mountain View. While at the training in Dublin our lucky winner will have the chance to visit our EMEA Headquarters in Dublin and have a pint with our Technical Services team. Congratulations on the win Thothathri! Want to join Thothathri in Dublin? There’s still room in our Developers and Data Modeling course the September . If you can’t make it to Dublin, find a MongoDB training near you . We look forward to seeing you at OSCON next year! MongoDB Presentations: Jesse Davis: What is async, how does it work and when should I use it? . Trisha Gee: What could possibly go wrong? Rapid Prototyping with Java and MongoDB . Code samples can be found here . Steve Francia: Using MongoDB with Go and Mgo . Sam Helman: Intro to AngularJS . Code samples can be found here . Francesca Krihely: Let them Be Your Heroes .

July 31, 2014

MongoDB at OSCON

10gen will be at OSCON, the Open Source Convention , this week to meet with other open source enthusiasts. Stop by Booth 706 to meet 10gen Engineers and pick up your MongoDB T-Shirt. Catch talks from 10gen and the MongoDB Community at OSCON this week: MongoDB - From Zero to Sharded with Shaun Verch, MongoDB Kernel Engineer, 10gen on Monday, July 22 at 1:30PM in Portland 252. Choosing A Shard Key In MongoDB with Shaun Verch, MongoDB Kernel Engineer, 10gen Wednesday, July 24 at 1:40PM in E143. Mobilize Your MongoDB! Developing full stack Javascript applications with Grant Shipley, Developer Evangelist at Red Hat, Thursday, July 25 at 5:00PM in E145 Creating a User Journey for Your Open Source Community with Francesca Krihely, MongoDB Community Marketing Manager, 10gen, Thursday July 25 at 2:30PM in E144. MongoDB on Amazon Web Services: Operational Best Practices with Charity Majors, Engineer at Parse at 10AM Friday in E145.

July 21, 2013

This Week in MongoDB: May 6-12

Learn More Managing MongoDB Clusters on AWS with Chef MongoDB Authorization Introducing Flip-flip: A MongoDB seplica set demonstration and experimentation service Mongo-Watch: Watches for changes in MongoDB replication log Registrations for Upcoming MongoDB Days MongoDB San Francisco May 10 MongoDB Pittsburgh June 3 MongoDB Israel June 16 MongoDB New York City June 21 Upcoming Webinars May 9: From Relational Databases to MongoDB - What You Need to Know May 14: Utilisations courantes de MongoDB May 16: Realizing the Promise of Machine to Machine (M2M) with MongoDB May 22: Indexing and Query Optimization May 23: How Financial Firms Create a Single Customer View with MongoDB User Groups and Events this Week May 6 Introduction to Meteor at 10gen NYC May 7 Richard Kreuter will be giving a talk at the Web Tech Scaling Meetup Kevin Hanson will be doing a presentation on MongoDB 2.4 at the LA JUG JSONq at the LA MongoDB User Group May 8 Toronto MongoDB User Group May 9 MongoDB San Francisco Workshops May 10 MongoDB San Francisco Have something you'd like to share? Let us know

May 6, 2013

Top Big Data skills? MongoDB and Hadoop

According to new research from the UK’s Sector Skills Council for Business and Information Technology, the organization responsible for managing IT standards and qualifications, Big Data is a big deal in the UK, and MongoDB is one of the top Big Data skills in demand. This meshes with SiliconAngle Wikibon research I highlighted earlier, detailing Hadoop and MongoDB as the top-two Big Data technologies. It also jibes with JasperSoft data that shows MongoDB as one of its top Big Data connectors: MongoDB is a fantastic operational data store. As soon as one remembers that Big Data is a question of both storage and processing, it makes sense that the top operational data store would be MongoDB, given its flexibility and scalability. Foursquare is a great example of a customer using MongoDB in this way. On the data processing side, a growing number of enterprises use MongoDB both to store and process log data, among other data analytics workloads. Some use MongoDB with its built-in MapReduce functionality, while others choose to use the Hadoop connector or MongoDB’s Aggregation Framework to avoid MapReduce. Whatever the method or use case, the great thing about Big Data technologies like MongoDB and Hadoop is that they’re open source, so the barriers to download, learn, and adopt them are negligible. Given the huge demand for Big Data skills, both in the UK and globally, according to data from Dice and Indeed.com , it’s time to download MongoDB and get started on your next Big Data project. Tagged with: MongoDB, Hadoop, Big Data, open source, operational database, Foursquare, IT jobs, jobs

January 8, 2013

Chicago looks to cut crime with MongoDB

The true value of a technology isn’t how rich it makes a vendor, but rather how productive and happy it makes a user. Of course it’s cool for 10gen to be selected from a pool of 5,900 U.S. startups and ranked as the top U.S. software startup , if for no other reason than to earn me bragging rights with my mom. But while that may be interesting for 10gen employees and investors (and my mom), it’s nowhere near as cool as having the City of Chicago, for example, build an exceptionally innovative crime prevention tool using MongoDB, as The Wall Street Journal recently reported . The City of Chicago simply could not create its analytics platform with a relational database. Not easily, anyway. The City needed the ability to marry structured and unstructured data, allowing City employees to combine disparate sources and types of data in order to glean insights. What does this mean? As but one example: [C]ity officials might look at a high crime area, while also mapping out the number of liquor permits for a neighborhood, along with the amount of nearby abandoned buildings. Using transcripts from resident complaints or 911 calls [or data from any number of 30 different City agencies or departments], officials could also see trending concerns for the area, like broken lights or stolen garbage cans, and the times the incidents are occurring. If the high crime area also has a high number of liquor permits, for example, officials could then see if other neighborhoods also faced both issues, allowing them to create a more effective response for those areas. I read that and feel positively giddy that modern technology makes this sort of thing possible. It’s even more exciting when you consider that the City of Chicago didn’t have to engage in protracted negotiations to use the technology. The City simply downloaded MongoDB and got started. This is great for 10gen. My mom has never been prouder of me. But it’s so much more important for the City of Chicago and other users looking to leverage NoSQL technology like MongoDB to solve Big Data and other problems. As Cowen & Co. analyst Peter Goldmacher recently wrote, We believe the biggest winners in the Big Data world aren't the Big Data technology vendors, but rather the companies that will leverage Big Data technology to create entirely new businesses or disrupt legacy businesses. Cloudera CEO (and my good friend) Mike Olson followed up on this report by concluding, “You want to get rich on Big Data? Use it!” He’s absolutely right. The real riches in open source, Big Data, mobile, etc. will not go to the vendors who develop, sell, and support these technologies. Sure, some will do well from these activities, but that’s not really the point. No, the real riches go to those who embrace and implement these technologies, whether Hadoop, Linux, MongoDB, or Storm. Which is, when you think about it, exactly as it should be. [Posted by Matt Asay, vice president of Corporate Strategy] Tagged with: City of Chicago, MongoDB, big data, analytics, hadoop, Cowen & Co., open source, nosql, Wall Street Journal

November 8, 2012

Building Big Data Portal through Liferay and MongoDB integration

This was originally posted to the CIGINEX Blog The CIGNEX Datamatics Big Data Portal is a web based solution which combines the powerful presentation capabilities of a portal such as rich user interfaces, collaboration, and secures access, with centralized & massively scalable data storage as the back end, consisting of a variety of content (Audio, Video, Images, Documents, Metadata) in large volume. We have been providing content management and portal solutions for the past 12 years. While serving our customers we have observed the following: The content is growing big, really big (volume) The unstructured (variety of) content is now becoming a business need for customers to process Customers wanting to capture smart information (meta-data) about the content Need to provide high performance and secure access of content to variety of applications and devices We have integrated two leading Open Source technologies, Liferay and MongoDB to build a powerful, cost effective solution as ...BIG DATA PORTAL“ to the ever growing need to manage the vast amount of information available. Big Data is at the foundation of many technologies that are trending today. With years of proven global experience in Open Source, we are excited to be pioneering solutions that solve many of today's growing challenges. CIGNEX Datamatics Big Data Portal is represented in the following diagram. Liferay is the leading Open source portal with a strong community; with 4+ million downloads, with 500,000 deployments worldwide. Liferay is featured as Leader in Gartner's Magic Quadrant for Horizontal Portals. MongoDB is an immensely scalable, NoSQL and agile document-oriented database based on JSON-like document storage with dynamic schemas. MongoDB's flexible data structure, ability to index & query and auto-sharding makes it a strong tool that adapts to changes and reduces the complexity. MongoDB's GridFS enables large binary objects like Images, Video or Audio. Big Data Portal with MongoDB and Liferay provides lower total cost of ownership and higher ROI to the businesses. CIGNEX Datamatics have developed a connector which enables Liferay to manage content in the clustered environment in the MongoDB solution. The architecture diagram is given below: Key Benefits with our solution include: Elimination of high end storage systems such as SAN and Oracle Clusters, which is a huge cost savings Secure access to data Flexibility leading to high performance Simplified Data Management through a single system managing structured and unstructured data Consistent look and feel accessible across myriad gadgets and devices For more details, download the presentation from CIGNEX Datamatics website at, http://www.cignex.com/resources/presentations/psc Munwar Shariff, CTO, CIGNEX Datamatics For more details, contact: munwar at cignex dot com Tagged with: big data, portal, cloud, open source, MongoDB, Mongo, NoSQL, Polyglot persistence, 10gen

July 27, 2012

Fluentd + MongoDB: The Easiest Way to Log Your Data Effectively.

Log everything! But how? All of you must know by now how valuable your data is to your product and business: KPI calculation, funnel analysis, A/B testing, cohort analysis, cluster analysis, logictic regressionâ€Â_none of this is possible without a lot of data, and the most obvious way to get more data is logging. But how? As we started talking to our customers at Treasure Data , we realized that there was no effective tool to log data in a flexible yet disciplined way. So, we rolled up our sleeves and authored our own log collector and open-sourced it as Fluentd under the Apache 2.0 license. Fluentd is a lightweight, extensible logging daemon that processes logs as a JSON stream. It's designed so that the user can write custom plugins to configure their own sources and sinks (input and output plugins in Fluentd parlance). In just six months, Fluentd users have contributed almost 50 plugins . These plugins combined with the loggers written in several programming languages ( Ruby , Python , PHP , Perl , Java and more ) allow Fluentd to be a great polyglot service. Apache, TSV or CSV. TCP or UDP. MongoDB or MySQL. S3, HDFS or flat files. Chances are good Fluentd can talk to your existing system fluently (Okay, this pun was intended). fluent-mongo-plugin, the most popular Fluentd plugin Yes, that's right. fluent-mongo-plugin, the output plugin that lets Fluentd write data to MongoDB directly, is by far the most downloaded plugin! fluent-plugin-mongo's popularity should come with little surprise: MongoDB is based on schema-free, JSON-based documents, and that's exactly how Fluentd handles events. In other words, there is a one to one correspondance between Fluend events and Mongo documents. Also, MongoDB and Fluentd both aim to be easy to install and get up and running. If you love the agility and flexibility of MongoDB, chances are good you will also like Fluentd. How to send data into MongoDB from Fluentd I assume the reader already has MongoDB up and running [1]. There are a couple of ways to install Fluentd: Ruby gem Fluentd and its plugins are available as Ruby gems. It's as easy as $ gem install fluentd $ gem install fluent-mongo-plugin Debian/RPM packages We have also packaged Fluentd and some of its plugins as td-agent (...td“ stands for Treasure Data). Of course, fluent-plugin-mongo is pre-packaged with td-agent for you :-p Here are the links to the packages. Debian package RPM package Now that we have everything, let's configure Fluentd to send data into MongoDB! In this example, we will import Apache logs into MongoDB. The location of your configuration file depends on how you installed Fluentd. If you went the Ruby gem route, it should be /etc/fluentd/fluentd.conf , and if you downloaded td-agent , it should be /etc/td-agent/td-agent.conf . Open your config file and add <source> type tail format apache path /var/log/apache2/access_log tag mongo.apache </source> These lines tell Fluentd to tail the Apache log at /var/log/apached/access_log . The tailed lines are parsed into JSON and given the tag ...mongo.apache“. The tag decides how these events will be routed later. In the same config file, add # plugin type type mongo # mongodb db + collection database apache collection access # mongodb host + port host localhost port 27017 # interval flush_interval 10s </match> If your MongoDB instance is not running locally with the default port of 27017, you should change the host and port parameters. Otherwise, this is it. All of your Apache logs will be imported to MongoDB immediately. Fluentd + MongoDB = Awesome Sauce The popularity of MongoDB suggests a paradigm shift in data storage. Traditional RDBMs have their time and place, but sometimes you want more relaxed semantics and adaptability. MongoDB's schema-less document is a good example: it's flexible enough to store ever-changing log data but structured enough to query the data later. In contrast, logging is moving in the opposite direction. Logging used to be structure-free and ad hoc with bash-based poorman's data analysis tools running everywhere. However, such quick and dirty solutions are fragile and unmaintenable, and Fluentd tries to fix these problems. It's exciting to see this synergy between Fluentd and MongoDB. We are confident that more and more people will see the value of combining a flexible database (like MongoDB) with a semi-structured log collection mechanism (like Fluentd) to address today's complex data needs. Acknowledgement Many thanks to 10gen for inviting us to give a talk on Fluentd and letting us write this guest post. Also, we thank Masahiro Nakagawa for authoring and maintaining fluent-plugin-mongo . Tagged with: fluentd, logs, log, logging, apache, open source, treasure data, MongoDB, Mongo, NoSQL, Polyglot persistence, 10gen

July 20, 2012

Mobilize Your MongoDB: Building MongoDB Mobile Apps with OpenShift PaaS Part II

Summary: This is the second part of a blog series that details how to develop a mobile application that is backed by MongoDB and a PaaS. MongoDB makes a great companion to this mobile application given its ability to shard and the nature of being able to store JSON documents with little data manipulation required. In this blog post, part two of the series, we will go over the required components and software in order to develop cross platform mobile applications for the iPhone and Android operating systems. We will also install and configure the backend systems, including mongodb , which makes a perfect data store for the BeerShift mobile application. We will be using the following applications and software stack components: Titanium Studio by Appcelerator Titanium Studio is an all-inclusive powerful Eclipse-based IDE that simplifies the mobile development process. Use Titanium Studio to rapidly build, test, package and publish mobile, desktop and web applications. Take advantage of new functionality like advanced code assisting, ACS integration, module management, Git integration, an enhanced publishing workflow and a full-featured editor. Manage Titanium projects, test your mobile apps in the simulator or on device, automate app packaging deploy to a public or private App Store and much more. * Xcode by Apple Even though we will be using Titanium Studio for our development, we will still need to have Xcode installed and configured so that we have access to several important tools. Not only will we be using the simulator to test out our iPhone application, we will also need the Xcode IDE in order to bundle and submit our application to the Apple App Store. Android SDK Since we are targeting both iOS and Android based devices, we will also need to install and configure the Android SDK for emulating the Android hardware for testing. OpenShift Client Tools OpenShift is Red Hat’s free, auto-scaling Platform as a Service (PaaS) for applications. As an application platform in the cloud, OpenShift manages the stack so you can focus on your code. We will be using this for our backend services and our cloud hosted MongoDB . While not required for this blog post series, I would suggest that a user also install a quality image editing application for sizing of icons and splash screens for your application. I prefer to use an open source software application called Gimp that will provide the user with most of the image editing capabilities they need. Step 1: Installing Xcode Note: If you are planning on targeting iOS platforms, you will typically need an iOS developer account . This will allow you to publish your application to the Apple App Store and receive product updates and announcements about new iOS platforms. This program typically costs 99.00USD per year. There are generally two ways to install Xcode on Mac OS. You can either install via the app store or you can download it directly from the Apple Developer Center. During this blog post, I will assume that you have access to the Apple App Store and will be detailing that route in order to install the IDE. Once you start the App Store application, search for Xcode and you should be directed to the following page: Once on this page, click the free button under the short description in order to install the IDE on your local operating system. Once the installation starts, be patient! Xcode is 1.5 gigs and can take up to a significant amount of time to install even on the fastest of connections. To check the status of the installation, you can go back to the App Store application and click on the Purchases tab at the top of the screen. This will display your current download position and how much time is remaining. Step 2: Installing OpenShift Client Tools Note: If you would rather watch a screencast of this step, check out this video where I demo how to install the client tools on OSX. The OpenShift client tools are written in a very popular programming language called Ruby . With OSX 10.6 and later, ruby is installed by default so installing the client tools is a snap. Simply issue the following command on your terminal application: $ sudo gem install rhc If you don't already have an OpenShift account, head on over to http://openshift.redhat.com and signup. It is completely free and Red Hat gives every user three free applications running in the cloud. At the time of this writing, the combined resources allocated for each user is 1.5gb of memory and 3gb of disk space. Now that we have the client tools installed, we also need to install the GIT source code repository tools. In order to do this, download the package from the GIT website by clicking on the Download for Mac button on the right hand side of the screen. Once the download of is .dmg file is complete, mount the image by clicking on it and open up Finder. Once Finder is open, click on the .pkg file to install GIT to your local system. Follow the installation instructions and close the dialog box once the installation has finished. Open up a new terminal window to ensure that your environment variables, including your path, have been updated to reflect the new git installation. At this point, we can create the backend server for our BeerShift application including the mongo database. For this blog post, we will be using a PHP backend but I have also written a backend for Ruby, Python and Java. $ rhc app create -a beershift -t php-5.3 The above command will provision some space for us on the Red Hat Cloud. It will also create a templated website for us to verify that the application creation was successful. Once the command has finished, verify that the application and server space was created by pointing your browser to the URL provided by the RHC tools. Now that we have an application created, lets create a mongodb data store to house our application data. This can be done by performing the following command. $ rhc-ctl-app -a beershift -e add-mongodb-2.0 This will return the database hostname, port, root user and root password for you to access the database. Don't worry, we will go into more detail on how all of this works with the blog post that covers the backend system for this application. Step 3: Install the Android SDK Appcelerator provides excellent instructions on how to install and configure the Android SDK for use with Titanium Studio. Instead of re-inventing the wheel, I suggest that you follow the instructions already provided for this step. Step 4: Install Titanium Studio In order to install and use Titanium Studio, you will need to register for a developer account with Appcelerator. Head on over and click the Download Titanium button on the right hand side of the screen. This will redirect you to a sign up screen. Fill in the required details and submit the form and check your inbox for a validation email. Once you have validated your email, you will be redirected back to the Appcelerator site where you can download Titanium Studio. Once the .dmg file has downloaded, mount the image and follow the instruction to drag Titanium Studio to your Applications folder. Note: When you start the application for the first time, you may be prompted to install a Java runtime. If so, following the instructions that are presented and OSX will automatically find and install the Java runtime for you. Once Titanium Studio starts, you will be prompted for a location to store your workspace. The workspace is a location on your local machine where all of your source files and project settings will be stored. After you select your workspace location, you will be asked for your username and password. This is the username and password that you used to signup for an Appcelerator account. Once you are logged in, that IDE may perform an update to ensure that you are running the latest available code. Now that you have the IDE setup and your SDKs setup, get familiar with the IDE and play around with a few of the sample projects. In the next blog post we will begin development of the backend application and create our REST API that handle communication between the mobile application and the cloud hosted server. * http://www.appcelerator.com/platform/titanium-studio Tagged with: openshift, sdk, iphone, iphone development, objective c, red hat, open source, MongoDB, Mongo, NoSQL, Polyglot persistence, 10gen

May 31, 2012

Mobilize Your MongoDB: Building MongoDB Mobile Apps with OpenShift PaaS

This is the first in a 4-part series by Grant Shipley, Cloud Evangelist for Red Hat’s OpenShift Platform-as-a-service. Grant’s series will cover the development of “Beershift”, a mobile app for iPhone and Android built using Titanium, OpenShift and MongoDB. MongoDB makes a great companion to this mobile application given its ability to shard store JSON documents with little data manipulation required. In this blog post, we will go over the background of the application and discuss the features we plan to build. Background: I started developing iOS based applications shortly after the arrival of the iPhone on the market. Having been a Java and PHP developer for my entire career, switching to objective-c was a tough challenge for me. I had to remember basic programming methodologies and patterns that I haven't used since college. It took me nearly two months of work at the cadence of 30-40 hours per week to build my first iOS application. To my delight, after releasing the application, the market for the application was larger that I had anticipated. Users were writing great reviews and requesting more features. Shortly after releasing my first iOS based application, Google decided to enter the smartphone market with their android based sdk and devices. This should have been great news for most software developers but for me, a part time mobile developer, it wasn't. I now had users requesting my application for android devices as well as for the new iPad and other tablets that were hitting the market. I didn't have the free time to port my application to the android sdk as it would have required another two months of software development as well as maintaining two separate code streams for patches and updates. About 8 months ago, I heard about a company called Appcelerator and their Titanium SDK . This SDK would allow me to code using javascript but target native UI controls for an array of devices. This sounded like heaven as most of the applications that I write are productivity or novelty based applications that don't rely heavily on 3D graphics. I set out to learn the titanium SDK and was able to develop the BeerShift sample application over a period of two days. About BeerShift: At OpenShift , we enjoy local craft beers and the social aspects of having a pint while discussing the latest trends in software development and deployment. One night, over a pint, we thought it would be cool if we could quickly read a description of the beer and brewery before ordering. We kept discussing the app and of course feature creep started setting in. By the end of the night, we decided to develop a mobile-based application that would allow a user to search for beers, and then log when and where they drank it. Because the team was split between using iOS and Android based phones, we needed it to work on both devices and sync the information via a backend service. Of course, all of this had to be available via the web as well. This was a great opportunity for me to learn Titanium so I set out to develop the application. The biggest unknown was where to get a freely available database of beers that I could search. I researched this question and did some google searching but didn't really come up with any providers that met my needs. Luckily, while speaking at a PHP Users Group in Raleigh, NC, I met a couple of guys who owned a startup called brewerydb.com . With their growing repository of beers and breweries, it had all of the information that I needed in order to develop the sample app. I invited them out for a pint after the user group and we discussed the details. A few days later I had an API key and was ready to get my Titanium Javascript on. Want a quick preview of what we will be building? Check out the video showing the application. BeerShift has a tabbed based UI that consists for 4 main screens. Drink, Drank, Kegstand, and Settings. The settings tab presents the user with username and password input fields. If the username does not exist in the MongoDB database, the user will be prompted if they want to create a new user. The drink tab is the heart of the application. This tab allows the uses to enter in a beer name and will return a result of all beers and breweries that match the search string. The results are retrieved via a REST API call to the openshift server and presented to the user in a table view. The user can select a a beer from the list and then select to ...Drink It“. Once the user has decided to log drinking a beer, the drinking event will be recorded on both the drank tab and the keg stand tab. The keg stand tab will allow the user of the application to view the 50 most recent beers drank by any user of the application. In the next blog post of this series, I will detail the installation of applications and tools needed to begin with development of the BeerShift application. Source Code: All of the source code for this application, including the backend REST API and MongoDBa> integration, is available on github.com/gshipley Tagged with: red hat, open shift, openshift, mobile, apps, application, titanium, sdk, java, objective c, open source, breweries, beer, brewerydb, MongoDB, Mongo, NoSQL, Polyglot persistence, 10gen

May 15, 2012

Free Webinar: MongoDB and Amazon Web Services

Join us on Friday, January 20th for a free webinar on MongoDB and Amazon Web Services . Amazon Web Services provides reliable, scalable, low-cost infrastructure platform in the cloud and is a great match for MongoDB. Sandeep Parikh will review the specific steps necessary to build and deploy MongoDB on AWS, addressing topics including: - How MongoDB’s components map to AWS compute instances and storage - Reference designs for deploying production MongoDB clusters - Backing up and restoring data Presenter Sandeep Parikh has a background in software engineering and has developed systems for social network analysis, natural language sentiment and text similarity. Before joining 10gen , Sandeep wrote code for Ravel where he developed a large scale graph processing framework on top of Hadoop. To learn more about the webinar and register, visit the event page or check out what other events are happening around the world. You can also download a free copy of the MongoDB on AWS white paper on our website. Tagged with: 10gen, Amazon Web Services, Free Webinar, MongoDB, database, nosql, open source, AWS

January 16, 2012