Get yourself trained on Apache Spark 2 with this Online Training Apache Spark 2 with Scala – Hands On with Big Data!.
Online Training Apache Spark 2 with Scala – Hands On with Big Data!
New! Updated for Spark 2.3.Big data” analysis is a hot and highly valuable skill and this course will teach you the hottest technology in big data:Apache Spark. Employers includingAmazon,EBay,NASA JPL, andYahooall use Spark to quickly extract meaning from massive data sets across a fault-tolerantHadoopcluster. You’ll learn those same techniques, using your own Windows system right at home. It’s easier than you might think, and you’ll belearning from an ex-engineer and senior manager from Amazon andIMDb.Spark works best when using the Scala programming language, and this course includes a crash-course inScala to get you up to speed quickly. For those more familiar with Python however, a Python version of this class is also available:”Taming Big Data withApacheSpark and Python -Hands On”.Learn and master the art of framing data analysis problems as Spark problems through over 20hands-on examples, and then scale them up to run on cloud computing services in this course.Learn the concepts of Spark’s Resilient Distributed DatastoresGet a crash course in the Scala programming languageDevelop and run Spark jobs quickly using ScalaTranslate complex analysis problems into iterative or multi-stage Spark scriptsScale up to larger data sets using Amazon’sElastic MapReduceserviceUnderstand howHadoop YARNdistributes Spark across computing clustersPractice using other Spark technologies, like Spark SQL, DataFrames, DataSets,Spark Streaming, and GraphXBy the end of this course, you’ll be running code that analyzes gigabytes worth of information in the cloud in a matter of minutes.We’ll have some fun along the way. You’ll get warmed up with some simple examples of using Spark to analyze movie ratings data and text in a book. Once you’ve got the basics under your belt, we’ll move to some more complex and interesting tasks. We’ll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We’ll analyze a social graph of superheroes, and learn who the most popular” superhero is and develop a system to find degrees of separation” between superheroes. Are all Marvel superheroes within a few degrees of being connected to SpiderMan? You’ll find the answer.This course is very hands-on; you’ll spend most of your time following along with the instructor as we write, analyze, and run real code together both on your own system, and in the cloud using Amazon’s Elastic MapReduce service. 7.5 hours of videocontent is included, withover 20real examplesof increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX.Enroll now, and enjoy the course!”I studied Spark for the first time using Frank’s course “Apache Spark 2 with Scala – Hands On with Big Data!”. It was a great starting point for me, gaining knowledge in Scala and most importantly practical examples of Spark applications. It gave me an understanding of all the relevant Spark core concepts, RDDs, Dataframes & Datasets, Spark Streaming, AWS EMR. Within a few months of completion, I used the knowledge gained from the course to propose in my current company to work primarily on Spark applications. Since then I have continued to work with Spark. I would highly recommend any of Franks courses as he simplifies concepts well and his teaching manner is easy to follow and continue with! ” – JoeyFaherty
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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.