If you are a scala developer you may be accustomed with the use of case class in pattern matching. For example Some(x) is a valid pattern because Some(x) is a case class, let us see an example of case class for extracting an email address. case class Email(User: String, domain…

We are surrounded by graphs. Facebook, LinkedIn, Twitter are the most famous examples of social networks. Graphs are powerful structures that can not only be used for storing connection information but also supports multiple kinds of analysis. Graphs support machine learning by doing what they do best. Representing data in…

Psychology of effective training One of the questions I was asking myself was the pyshology of effective training, how to train skills efficiently ? One of the important principle of skill training is rewards for improved performance work better than punishment for mistakes. …

Why Graph Databases

What is Spark RDD Even though spark high level APIs(Dataframe APIs ) favor you in almost all scenarios, there are times when high level manipulation will not meet business or engineering problem trying to solve. …

What is structured streaming Structured streaming is a stream processing framework built on top of apache spark SQL engine, as it uses existing dataframe APIs in spark almost all of the familiar operations are supported in streaming. …

Decision tree and Support Vector Machines are two two supervised machine learning algorithms used for both classification and regression. Support Vector Machines vs Maximum Marginal Classier Support Vector Machine is a supervised Machine Learning algorithm used for both classification and regression, mostly used for addressing classification problems. …

The full definition of kerberos is a secure, single sign on, trusted, third party, mutual authentication service. Let’s break that definition and quickly check on each one. Secure: Kerberos is unique in it’s use of tickets , a cryptographic measure of transmitting messages over network to provide users identity. …

In early 2006 Apache Hadoop was introduced as a framework for distributed processing of large datasets across clusters of computers using a programming model. Hadoop was developed as a solution to handle big data in a cost effective and easiest way as possible. …