Get yourself trained on Getting Started with with this Online Training Getting Started with Hadoop 2.x.
Online Training Getting Started with Hadoop 2.x
Hadoop emerged in response to the proliferation of masses and masses of data collected by organizations, offering a strong solution to store, process, and analyze what has commonly become known as Big Data. It comprises a comprehensive stack of components designed to enable these tasks on a distributed scale, across multiple servers and thousands of machines.This course introduces you to the powerful system synonymous with Big Data, demonstrating how to create an instance and leverage Hadoop ecosystem’s many components to store, process, manage, and query massive data sets with confidence.The video course opens with an introduction to the world of Hadoop, where we discuss Nodes, Data Sets, and operations such as map and reduce. The second section deals HDFS, Hadoop’s file-system used to store data. Further on, youll discover the differences between jobs and tasks, and get to know about the Hadoop UI. After this, we turn our attention to storing data in HDFS and Data Transformations. Lastly, we will learn how to implement an algorithm in Hadoop map-reduce way and analyze the overall performance.About The AuthorA K M Zahiduzzaman is a software engineer with NewsCred Dhaka. He is a software developer and technology enthusiast. He was a Ruby on Rails developer, but now working on NodeJS and angularJS and python.He is also working with a much wider vision as a technology company. The next goal is introducing SOA within the current applications to scale development via microservices.Zahiduzzaman has a lot of experience with Spark and is passionate about it. He is also a guitarist and has a band too. He was also a speaker for an international event in Dhaka. He is very enthusiastic and love to share his knowledge.
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.