2 results

The Big Picture for Big Data

A guest post from GigaOM Are you sitting on un-mined gold? As the volume of enterprise data created has moved past terabytes to petabytes, companies need to determine the best way for them to store, manage and analyze all that information. GigaOM's Structure:Data , now a two-day conference, will assemble the world's leading technologists, practitioners and business leaders to offer solutions to the questions posed by the growth of big data, including storage needs, data analysis and the uncovering of new business opportunities. The conference will include presentations from 10gen CEO and Co-Founder Dwight Merriman, as well as from Wordnik's VP of Engineering, Tony Tam. Wordnik was one of the earliest adopters of MongoDB, using the open source non-relational database to store billions of records. Structure:Data will feature additional presentations spanning four general themes—Infrastructure, Algorithms, Startups, and Putting Data to Work. The world's leading technologists, practitioners and business leaders will answer the questions posed by the growth of big data, including: -What can we do with data and who should manage it? -Which companies are generating the most big data and what can we learn from them? -What are the technologies and companies to watch over the next 18 months? -What must CIOs plan for? -What are the best solutions and approaches for your company? Join us in New York on March 21 and 22, 2012. Friends of MongoDB save $100 when you register today . Tagged with: 10gen, big data, events, gigaom, mongodb, nosql, Wordnik

January 5, 2012

MongoDB Case Study: Wordnik

At six times the size of the Oxford English Dictionary, Wordnik helps bring words to life by showing the conversations happening around them. Because Wordnik relies on data from real-time web posts, they needed a reliable and performance-tested database solution. In 2009, Wordnik engineers realized that their existing MySQL data store couldn't keep pace with the user-generated content which constantly expanded the site's dictionary. The engineers created a prototype to test MongoDB, migrating five billion records to the non-relational database in a single day. Over the course of the next month, the entire database was migrated to MongoDB under the watchful eyes of a single developer. MongoDB now handles every site request sent to Wordnik—often over 20 million API calls per day, from millions of unique users each month. Under their previous MySQL system, Wordnik's IT engineers frequently dealt with locked tables and outages when too much data was added at once; using MongoDB as a non-relational database solution has eliminated the problem, and the system handles bursts of as many as 50,000 words per second during busy periods without breaking a sweat. For Wordnik's engineers, life with MongoDB has meant faster data retrieval and 75% less code. To read more about how Wordnik has deployed MongoDB (and how it changed day-to-day life for developers), visit the full-length case study , or check out Wordnik VP of Engineering Tony Tam's presentation at MongoSV 2011. Tagged with: mongodb, 10gen, wordnik, nosql, database, data store

December 22, 2011