KAFKA + SPARK presentation

http://www.slideshare.net/rahuldausa/real-time-analytics-with-apache-kafka-and-apache-spark

https://github.com/miguno/kafka-storm-starter

SCALA - Spark Scala applications for HDInsight Spark Linux cluster, Microsoft Azure

https://azure.microsoft.com/en-us/documentation/articles/hdinsight-apache-spark-intellij-tool-plugin/

SPARK - what is Spark

"What is Spark - Scala collections running on a cluster"
Martin Odersky

CACHE - distributed cache

http://www.codeproject.com/Articles/21508/Distributed-Caching-Using-a-Hash-Algorithm

In computing, a distributed cache is an extension of the traditional concept of cache used in a single locale. A distributed cache may span multiple servers so that it can grow in size and in transactional capacity. It is mainly used to store application data residing in database and web session data.

Hashing algorithm that can be used in distributed caching of data in web farms or implementing a distributed hash table (DHT).

We have a layer of web servers that handle the requests and a pool of machines that are used for caching. Each web server should be able to access any of the cache machines. The tricky aspect here is that when we cache some data as a result of a request to a particular web server, we should be able to retrieve that data from any of the other web servers.

Here is what we can do. We want to cache key value pairs and then at a later stage get hold of a cached value by providing the corresponding key. The code below takes a key and produces a hash bit array using SHA1. Then after some transformations we derive an integer number. A given key always produces the same number. In addition, all numbers are uniformly distributed which allows us to "page" them and assign them to a given number of cache machines or "buckets".

GOOGLE - "let me GOOGLE that for you" service

http://lmgtfy.com/

ALGORYTHMS - animated and video examples

http://www.sorting-algorithms.com/
https://www.youtube.com/embed/vxENKlcs2Tw

JAVA - efficiency of Map.Entry iteration

https://habrahabr.ru/company/luxoft/blog/278313/

JAVASCRIPT - visualization of Bitcoins transactions by JS frameworks

Post in Twitter about the matter: https://twitter.com/pluralsight/status/719978158963978240
Example of JS visualization of Bitcoin transactions: http://bitbonkers.com/
JS framework Three JS: http://threejs.org/
JS framework Oimo JS: http://lo-th.github.io/Oimo.js/
Live stream of Bitcoins transactions: https://blockchain.info/

TOMCAT - default settings

C:\Program Files\Apache Software Foundation\Tomcat 8.0

TCP - 3 Way handshake SYN, SYN-ACK, ACK

http://www.inetdaemon.com/tutorials/internet/tcp/3-way_handshake.shtml

EVENT	DIAGRAM
Host A sends a TCP SYNchronize packet to Host B Host B receives A's SYN Host B sends a SYNchronize-ACKnowledgement Host A receives B's SYN-ACK Host A sends ACKnowledge Host B receives ACK.  TCP socket connection is ESTABLISHED.	TCP Three Way Handshake (SYN,SYN-ACK,ACK)