Hadoop & Data Science NLP (All in One Course)

You will be able to develop a real world an end to end application which will encompass both Hadoop as well as Natural Language Processing (Data Science)
Setup a Hadoop Cluster on your laptop free of cost and then connect to different hadoop services
Develop distributed applications based on Hadoop Framework, Different Hadoop pillars, HDFS Architecture, MapReduce and different types of Data in Hadoop
Visualize Hadoop ecosystem services as well as components like Memory usage, Cluster Load etc. in the form of dashboard on a Web Interface called Ambari
Design and Develop scalable, fault tolerant and flexible applications which can store and distribute large data sets across inexpensive servers
Develop scripts based on several commands in Hadoop to manage files and datasets
Understand the different building blocks of Apache NIFI helping in data movement, transformation etc. Also learn about NIFI Architecture and its various applications
Steps to Install Apache NIFI and making changes in configuration files to run it seamlessly
Develop a complete workflow application in NIFI which can take data from the streaming source, perform transformations on this data and then store it in Hadoop
Spin up Apache Solr as one of the service, configure it to receive streaming data from NIFI processor to perform real time analytics on this data
Understand the architecture and concepts related to Apache Solr as well as several of its features
Create a Banana Dashboard to visualize the real time analytics happening on live streaming data after getting an understanding of components and structure of Banana Dashboard
Visualize where does Hive fit in Hadoop Ecosystem, its Architecture as well as how exactly it works
Develop an understanding of how data can be stored in structured form in Apache Hive. In depth knowledge of several of its components.
Develop and Visualize the data in the form of Graphs, Histograms, Pie Charts etc

Anyone who wants to learn both Hadoop and Data Science from scratch
Developers, Programmers or Database Administrators who want to transition to Hadoop and Hadoop Ecosystem tools like HDFS, Hive, Solr, NIFI, Banana and also wants to explore Data Science
Aspiring Data Scientists, Data Analysts, Business Analysts who want to learn Natural Language Processing as an added arsenal as well as wants to learn Hadoop as well
Product , Program or Project Managers who wants to understand the complete architecture as well as understand how Hadoop and Data Science can be integrated together
Enterprise Architects, Solution Architects who wants to learn about Hadoop Ecosystem and related technologies to design Big Data related solutions