Big Data in simple words! Big data is everywhere. From Netflix to digitization of simple manual forms have been possible only because of big data. Big data has not only made data storage and processing faster but also cheaper and affordable. In this article, I will take you through what…

A Role Based Access Control Standard Oracle Fusion cloud ERP solution is a leader packed with best-in-class and modular enterprise solutions offering the ease of staying current with software, security, and technology. In this article, I am going to take you through Oracle Fusion cloud security model. Oracle fusion cloud…

Ease of personal computer with greatness of Databricks Spark Cluster Shilpa, our data scientist, is in love with Spark after going through our below articles on Spark and Pyspark. Spark From understanding core concepts to developing a well-functioning Spark application on AWS Instance!towardsdatascience.com PySpark Rendezvous of Python, SQL, Spark, and Distributed Computing making Machine Learning on Big Data possibletowardsdatascience.com

Python programmer’s icing on cake Before I begin, let me clear the air at the outset. Python property decorator does not resemble real world properties like real estate, wealth or anything else of that kind. I thought it’s worth mentioning, specially, because this article contains photo of a house. Okay…

Instructions on running HiveQL on Oracle SQL Developer

Step-by-step instructions on downloading, installing, configuring, and running fully functional Oracle Database on AWS EC2 instance. Sam was thrilled to get an employment offer as a data engineer in a startup. On his first day in the office and he was up for a surprise: startup founders didn’t know the…

It’s easier than you thought! — In an Object-Oriented Programming (OOP) like Python, class, method, instance, object, play a critical role. In this article, I will take you through different method types used in Python OOP. Figure 1 explains the Instance Method, Class Methods, and Static Methods in Python. …

Machine learning involves splitting available observations into train and test data sets, training the model on training data set and testing it on test data set. Below figure explains the usual steps involved in Machine Learning

Supervised Machine Learning can be summarized as shown below