Hadoop, the distributive file system and MapReduce are just a few of the topics covered in this interview recorded live at QCon San Francisco 2013. Industry-standard Agile implementation and a lot of testing, assures the development team at Ancestry.com that they have an app that can handle the large traffic demands of the popular genealogy site.
Developer Evangelist Jon Gottfried of Twilio discusses the ins and outs of adding voice and SMS messages with Twilio's RESTful API. Learn about adding Twilio's telephony features like sending and receiving text messages to and from your mobile or web app.
Cliff Click explains 0xdata's H20, a clustering and in-memory math and statistics solution (available for Hadoop and standalone), writing H20's memory representation and compression in Java, low latency Java vs GCs, and much more.
Dean Wampler explains Scalding and the other Hadoop support libraries, the return of SQL, how (big) data is the killer application for functional programming, Java 8 vs Scala, and much more.
Xavier Amatriain discusses how Netflix uses specialized roles, including that of the Data Scientist and Machine Learning Engineer, to deliver valuable data at the right time to Netflix' customer base through a mixture of offline, online, and nearline data processes. Xavier also discusses what it takes to become a Machine Learning Engineer and how to gain real experience in the field.
Eva Andreasson explains the various Hadoop technologies and how they interact, real-time queries with Impala, the Hadoop ecosystem including Hue, Oozie, YARN, and much more.
Sadek Drobi explains the benefits of functional programming for the web. Also: improving CMS by separating content from representation and how prismic.io implements ideas from functional DBs and Git.
Etsy's approach to big data has been to give the entire organization visibility to different sources of data generated by their product as well as access to the experts who know how to use it. Nell Thomas explains her role at Etsy and how Etsy's view of big data has shaped its product's evolution.
Emil Eifrem looks back at the history of Neo4j, an open-source, NoSQL graph database supported by Neo Technology. He describes some real world applications of graphs, domain modelling with graphs, and compares the performance of graph and relational databases. He also examines how Neo4j differs from other NoSQL and graph databases in the market and describes various Neo4j licensing options.
Big Data means more than just the size of a dataset. Pavlo Baron explains different ways of applying Big Data concepts in various situations: from analytics, to delivering content, to medical applications. His larger vision for Big Data ranges from specialized Data Scientists, to learning Decision Support Systems, to helping mankind itself.
Ian Robinson discusses Neo4J's design choices for data storage and retrieval, CRUD operations, transactions, graph traversal and searches and HA deployment strategies. He also shares his thoughts on hypermedia controls and the concept of consumer driven contracts for continuous evolution of services.
CONTENT IN THIS BOX PROVIDED BY OUR SPONSOR
- 10 Things Developers Should Know about Couchbase
- When one is better than two: Collapsing data management layers for scalability and simplicity
- Couchbase NoSQL @ Tunewiki : A billion documents and counting
- The Essential Couchbase APIs Cheat Sheet
- Why MySQL 5.6 is no real threat to NoSQL
- How to Move from MySQL to Couchbase Server 2.0: Part 1
- Making Sense of NoSQL
- Couchbase in Action – Real world app demo
- Making the Shift from Relational to NoSQL