Get yourself trained on From 0 to with this Online Training From 0 to 1: Hive for Processing Big Data.
Online Training From 0 to 1: Hive for Processing Big Data
Prerequisites: Hive requires knowledge of SQL. The course includes and SQLprimer at the end. Please do that first if you don’t know SQL. You’ll need to know Java ifyou want to follow the sectionson custom functions.Taught bya 4 person team including 2Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scaledata.Hive islike anew friend with an old face (SQL). This course is an end-to-end, practical guide to using Hive for Big Data processing.Let’s parse thatA new friend with an old face:Hive helps you leverage the power of Distributed computing and Hadoop for Analytical processing. It’s interface is like an old friend :the very SQLlike HiveQL. This course will fill in all the gaps between SQLand what you need to use Hive.End-to-End:The course is anend-to-end guide for using Hive:whether you are analyst who wants to process dataor an Engineer who needs to build custom functionality or optimize performance – everything you’ll need is right here. New to SQL?No need to look elsewhere.The course hasa primer on all the basic SQLconstructs, .Practical: Everything is taught using real-lifeexamples,workingqueries and code .What’s Covered:Analytical Processing:Joins, Subqueries, Views, Table GeneratingFunctions,Explode, Lateral View, Windowing and moreTuning Hive for better functionality:Partitioning, Bucketing, Join Optimizations, Map Side Joins, Indexes,Writingcustom User Definedfunctions in Java. UDF, UDAF, GenericUDF, GenericUDTF, Custom functions in Python,Implementation of MapReduce for Select, Group by and JoinFor SQLNewbies:SQL In Great Depth
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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.