This eMag looks at data science from the ground up, across technology selection, assembling raw and unstructured data, statistical thinking, machine learning basics, and the ethics of applying these new weapons.
This eMag focuses on the current state of NoSQL databases. It includes articles, a presentation and a virtual panel discussion covering a variety of topics ranging from highly distributed computations, time series databases to what it takes to transition to a NoSQL database solution.
Apache Hadoop is proving useful in deriving insights out of large amounts of data, and is seeing rapid improvements. Hadoop 2 now goes beyond Map-Reduce; it is more modular, pluggable and flexible and it fits a variety of use cases better. We explore this as well as some tools that can help utilize Hadoop better.
This eMag examines topics such as how Twitter re-architected its code-base to improve stability and performance, the approaches Netflix uses to be hyper-resilient, and how Java is replacing C++ for low latency coding. We also look at some lower level tricks such as feedback controls for auto-scaling, and using memory and execution profiling to identify performance bottlenecks in Java.
The InfoQ NoSQL eMag brings together a selection of popular NoSQL articles recently published on InfoQ.com. Get a complete overview of the current NoSQL movement, learn how NoSQL relates to the CAP Theorem, and get practical guidance on setting up and using a popular NoSQL database.