Get yourself trained on Taming Big Data with this Online Training Taming Big Data with Apache Spark and Python – Hands On!.
Online Training Taming Big Data with Apache Spark and Python – Hands On!
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 including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You’ll learn those same techniques, using your own Windows system right at home. It’s easier than you might think.Learn and master the art of framing data analysis problems as Spark problems through over 15 hands-on examples, and then scale them up to run on cloud computing services in this course. You’ll be learning from an ex-engineer and senior manager fromAmazon and IMDb.Learn the concepts of Spark’s Resilient Distributed DatastoresDevelop and run Spark jobs quickly using PythonTranslate complex analysis problems into iterative or multi-stage Spark scriptsScale up to larger data sets using Amazon’s Elastic MapReduce serviceUnderstand how Hadoop YARN distributes Spark across computing clustersLearn about other Spark technologies, like Spark SQL, 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.This course uses the familiar Python programming language; if you’d rather use Scala to get the best performance out of Spark, see my “ApacheSpark withScala – Hands On withBigData” course instead.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 The Incredible Hulk? 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. 5 hours of video content is included, with over 15 real examples of 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.Wrangling big data with ApacheSpark is an important skill in today’s technical world. Enroll now!” I studied “Taming Big Data with Apache Spark and Python” with Frank Kane, and helped me build a great platform for Big Data as a Service for my company. I recommend the course! ” – Cleuton Sampaio De Melo Jr.
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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.