Fajri Abdillah
It just my own list of Important NoSQL Resource
Build a polling application that updates in real-time as votes roll in. The app I created has a simple architecture that uses JavaScript for everything. Node.js and Express power the back-end, and MongoDB stores the app's data. At the front-end, AngularJS and Bootstrap power the user interface, with Web Sockets enabling the voting to update clients in real-time.
Todd Eisenberger, software engineer at Dropbox, discusses how the company has built a system to successfully scale its data achiving using MySQL and HBase. Todd has spent the last few years working on Dropbox's MySQL and caching layers and file metadata systems.
One of the steps to reach the goal of providing a "testable" Redis Cluster experience to users within a few weeks, is some serious testing that goes over the usual "I'm running 3 nodes in my macbook, it works".
This benchmark measures response time on a handful of relational queries: scans, aggregations, joins, and UDF's, across different data sizes. Keep in mind that these systems have very different sets of capabilities. MapReduce-like systems (Shark/Hive) target flexible and large-scale computation, supporting complex User Defined Functions (UDF's), tolerating failures, and scaling to thousands of nodes.
Many companies have huge investment in Data Warehouse and BI tools and want to leverage those investments to process data collected by applications in MongoDB. For example, a company may need to blend clickstream data collected by distributed MongoDB data storage with personal data from Oracle into the Data Warehouse system or Analytics platform to provide timely marketing reports.
Redis uses streamed asynchronous replication, that's one of the simplest forms of replication you can imagine: a continuos stream of writes is sent to the slaves, without waiting for the slaves to process the writes in any way before replying to the client.
A high performance key/value store for the browser modeled after Redis.
MongoDB is one of the fastest growing NoSQL workloads on AWS due to its simplicity and scalability, and recent product additions by the AWS team have only improved those traits. Join us for a deep-dive on MongoDB best practices, including installation, configuration, orchestration, performance, and durability optimization, as well as operational management using tools from AWS and 10gen.
Cassandra Data Modeling Best Practices talk at DataStax Cassandra South Bay Meetup - http://www.meetup.com/DataStax-Cassandra-South-Bay-Users/
Going "Best Practice" on any topic is an expansive statement. But, we will give it a go with some high level anti-patterns and best practices. Some best practices will be general statements about the performance of MongoDB. Indexing Constraints The following constraints are in affect as of MongoDB 2.4.x series.
This talk will introduce the features of MongoDB, including the basics of MongoDB's document model, query language, and deployment architecture.
The London Clojure Community:Machine Learning with Storm + Redis: Join the London Clojure User Group for their monthly get together in May. Yodit Stan
Join this webinar to discuss best practices for designing and building a solid, robust and flexible Hadoop platform on an enterprise virtual infrastructure. Att
Redis bills itself as a data structure server directly on its homepage; indeed, the project provides a myriad of data structures accessible in a key-value interface. In fact, Redis provides many key components that one might desire in a remote data structure server: a fast asynchronous networking layer, a reference-counting based memory management layer, multiple built-in persistence strategies, and immediate client support for new commands (for some clients, anyway).
When I first started hosting my own sites, I had no idea what caching was or why it was important. Then I wrote a couple of popular blog posts, and my server crashed. Fast forward a few years, and I'm running a few different websites on a few different servers.
Redis is a key-value in memory data store typically used for caches and other such mechanisms to speed up web applications. We however store all our data in Redis as our primary database. The web is abound with warnings and cautionary tales about going this route.
Redis Cluster demo
