Many developers are discovering that traditional relational databases make it hard to scale to the large data volumes and user traffic required by Internet-scale applications. MongoDB is sailing up as one of the leading contenders in the NoSQL space. We at Comoyo are using MongoDB on Amazon Elastic Cloud Compute …
This talk shares hindsights about the why and the how of that migration, what problems couldn’t be solved without moving away and how the solution now looks. The tools used for migrating away the data, the methods and will detail the new architecture. And the new home: in the cloud!
With one production service already available at Rackspace and another on in the works at HP, cloud database services are quickly changing the landscape around OpenStack Compute. Join Rackspace and HP for a lively discussion on how we are adding value to OpenStack with database services and Project RedDwarf.
This talk explores the Netflix Data Science & Engineering architecture. Not just the what, but also the why. Some key topics include the big data technologies we leverage (Cassandra, Hadoop, Pig + Python, and Hive), our use of Amazon S3 as our central data hub, our use of multiple persistent …
Amazon introduced DynamoDB, a NoSQL database service with seamless, linear scalability in January 2012. How can we neatly integrate it in Python applications and address its shortcomings?
Using MongoDB in Node.js applications is extremely popular these days. One of the popular features of MongoDB is GridFS, the MongoDB’s filesystem interface that allows us to store and retrieve files. This video explains one of the ways to upload a file from browser to MongoDB’s GridFS running on Cloud …
