Get yourself trained on Hands-On Beginner’s Guide with this Online Training Hands-On Beginner’s Guide on Big Data and Hadoop 3.
Online Training Hands-On Beginner’s Guide on Big Data and Hadoop 3
Do you struggle to store and handle big data sets? This course will teach to smoothly handle big data sets using Hadoop 3.The course starts by covering basic commands used by big data developers on a daily basis. Then, you’ll focus on HDFS architecture and command lines that a developer uses frequently. Next, you’ll use Flume to import data from other ecosystems into the Hadoop ecosystem, which plays a crucial role in the data available for storage and analysis using MapReduce. Also, you’ll learn to import and export data from RDBMS to HDFS and vice-versa using SQOOP. Then, you’ll learn about Apache Pig, which is used to deal with data using Flume and SQOOP. Here you’ll also learn to load, transform, and store data in Pig relation. Finally, you’ll dive into Hive functionality and learn to load, update, delete content in Hive.By the end of the course, you’ll have gained enough knowledge to work with big data using Hadoop. So, grab the course and handle big data sets with ease.About the AuthorMilind Jagre works as a Data Scientist Analyst at the Ford Motor Company in Dearborn. In his current work, he works on the latest technologies in the field of big data and Machine Learning. He is responsible for bringing third-party client datasets to the Ford ecosystem and making use out of that data intelligently by deriving useful insights from it. He graduated from the University of Connecticut with a Master’s degree in Science in Business Analytics and Project Management. He has worked and learned a lot of new things in the field of Analytics and Data Science.
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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.