Data Preprocessing and Data Wrangling in Machine Learning and Deep Learning

Introduction Deep learning and Machinelearning are becoming more and more important in today’s ERP (EnterpriseResource Planning). During the process of building the analytical modelusing Deep Learning or Machine Learning the data set is collected fromvarious sources such as a file, database, sensors and much more. But, the collected datacannot be used directly for performing analysis … More Data Preprocessing and Data Wrangling in Machine Learning and Deep Learning

Deploying .NET Application on Docker & Kubernetes

Overview In this Post , We’ll share the Process how you can Develop and Deploy .NET Application using Docker and Kubernetes and Adopt DevOps in existing .NET Applications Prerequisites To follow this guide you need Kubernetes – Kubernetes is an open source platform that automates container operations and Minikube is best for testing Kubernetes. Kubectl – Kubectl is command … More Deploying .NET Application on Docker & Kubernetes

Overview of Kotlin & Comparison With Java

 What is Kotlin Language?   Kotlin is a new programming language from JetBrains. It first appeared in 2011 when JetBrains unveiled their project named “Kotlin”. Kotlin is an Open-Source Language. Basically like Java, C and C++ – Kotlin is also “statically typed programming language”. Statically typed programming languages are those languages in which variables need not be defined before they … More Overview of Kotlin & Comparison With Java

Top 10 Things To Know in DevOps

Introduction To DevOps DevOps is a Modern software engineering Culture and Practices to develop a software where the development and operation teams work hand in hand as one unit, unlike the traditional ways i.e. Agile Methodology where they worked individually to develop a software or provide required services. The traditional methods before DevOps were time-consuming … More Top 10 Things To Know in DevOps

Overview of Artificial Intelligence and Role of Natural Language Processing in Big Data

Artificial Intelligence Overview       AI refers to ‘Artificial Intelligence’ which means making machines capable of performing intelligent tasks like human beings. AI performs automated tasks using intelligence. The term Artificial Intelligence has two key components – Automation Intelligence Goals of Artificial Intelligence           Stages of Artificial Intelligence     … More Overview of Artificial Intelligence and Role of Natural Language Processing in Big Data

Understanding Log Analytics, Log Mining & Anomaly Detection

What is Log Analytics   With technologies such as Machine Learning and Deep Neural Networks (DNN), these technologies employ next generation server infrastructure that spans immense Windows and Linux cluster environments. Additionally, for DNNs, these application stacks don’t only involve traditional system resources (CPUs, Memory), but also graphic processing units (GPUs). With a non-traditional infrastructure … More Understanding Log Analytics, Log Mining & Anomaly Detection

How To Deploy PostgreSQL on Kubernetes

What is PostgreSQL? PostgreSQL is a powerful, open source Relational Database Management System. PostgreSQL is not controlled by any organization or any individual. Its source code is available free of charge. It is pronounced as “post-gress-Q-L”. PostgreSQL has earned a strong reputation for its reliability, data integrity, and correctness. It runs on all major operating … More How To Deploy PostgreSQL on Kubernetes

Why we Need Modern Big Data Integration Platform

Data is everywhere and we are generating data from different Sources like Social Media, Sensors, API’s, Databases. Healthcare, Insurance, Finance, Banking, Energy, Telecom, Manufacturing, Retail, IoT, M2M are the leading domains/areas for Data Generation. The Government is using BigData to improve their efficiency and distribution of the services to the people. The Biggest Challenge for the … More Why we Need Modern Big Data Integration Platform

Healthcare is Drowning in Data, Thirst For Knowledge

The Amount of Data in Healthcare is increasing at an astonishing rate. However, in general, the industry has not deployed the level of data management and analysis necessary to make use of those data. As a result, healthcare executives face the risk of being overwhelmed by a flood of unusable data. Consider the many sources … More Healthcare is Drowning in Data, Thirst For Knowledge