CouchDB aims to help organizations create database solutions for their web applications across various devices. The flexible document based structure of CouchDB helps users to perform data mapping, querying, combining and filtering and is among the most popular technologies to be used on the web.
This is an online course that is structured for all those who are interested to work in the Analytics industry, and is also designed to further aid data analysts, business analysts, data engineers, data scientists, technical managers, and entrepreneurs looking to understand R programming concepts.
Become an Android expert by creating Android applications and getting introduced to its UI design and event handling, as well as activities, fragments, notifications, and media while working on “Android Studio IDE.”
Become an expert Hadoop Administrator by getting your hands-on Hadoop Clusters, including monitoring the Hadoop Distributed File System and Planning & Deployment. The course will also take a hands-on approach to the Hadoop Ecosystem, which consists of YARN, Map Reduce, HDFS, Cloudera Manager, Hadoop Cluster with Hive, HBase, Pig, Flume, and RDBMS using Sqoop.
Linux is the preferred choice of OS over Windows, amongst programmers and developers. Linux is free and can be downloaded and customized as per a user’s needs. It is an open-source operating system, which is highly robust and adaptable. Another advantage of Linux is the immense number of libraries and utilities it carries.
Python is one of the most widely-used, general-purpose, high-level programming languages. It supports multiple programming paradigms. The reasons for its popularity are its features like Dynamic Type System and Automatic Memory Management.
The Internet of Things (IoT) is a network of physical objects, devices, vehicles, buildings and other items embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data.
The Machine Learning Online Course gives the learner a holistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms