In this blog post the NoSQL world will be introduced in as simple words as possible. All main types of NoSQL databases will be described incuding some examples for every one of each to have a good understanding of the subject. The world has changed recently and the NoSQL trend is getting stronger and stronger. Old fashion applications working only with relational databases are rare nowadays. The way of developing applications has changed, single server side architecture and heavy clients is not a trend anymore. Till 2010 number of Internet users grew almost linearly – that means more and more server requests. Additionally unstructured data is growing exponentially when structured data only linearly.
Introduction Stock price variabilities are nowadays even more affected by positive and negative news. New media channels like Twitter, Facebook, Finance Pages and News Pages, make the news rapidly available and accessible for everybody. It is an enormous amount of distributed data (Big Data), which could no longer be evaluated by a single individual. Powerful and lots of hardware along with suitable systems are needed to gather and interpret this mass of data. With Spring XD (Extreme Spring Data), such a system for big data interpretation and analytics is available. The aim of Spring XD is to facilitate the development of big data applications and to provide an architecture for data acquisition, data processing, data analysis and data export. This article illustrates how positive and negative messages can influence the stock price variability’s implemented with the help of Spring XD.
Visualise the recording of our Webinar “Spring for the Elephant” (in German) and see how Hadoop and Spring are used to develop stunning BIG DATA Software applications. Apache Hadoop and its rapidly growing ecosystem (eg . As Pig , Hive , HBase , etc.) has enjoyed a lot of attention in recent time. We answer the following questions:
- How easy is development using these tools?
- How can you connect conventional applications to it?