Get yourself trained on Apache Spark for with this Online Training Apache Spark for Java Developers.
Online Training Apache Spark for Java Developers
Get started with the amazing Apache Spark parallel computing framework – this course is designed especially for Java Developers.If you’re new to Data Science and want to find out about how massive datasets are processed in parallel, then the Java APIfor spark is a great way to get started, fast.All of the fundamentals you need to understand the main operations you can perform in Spark Core, SparkSQLand DataFrames are covered in detail, with easy to follow examples. You’ll be able to follow along with all of the examples, and run them on your own local development computer.Included with the course is a module covering SparkML, an exciting addition to Spark that allows you to apply Machine Learning models to your Big Data!No mathematical experience is necessary! And finally, there’s a full 3 hour module covering Spark Streaming, where you will get hands-on experience of integrating Spark with Apache Kafka to handle real-time big data streams. We use both the DStream and the Structured Streaming APIs.Optionally, if you have an AWSaccount, you’ll see how to deploy your work to a live EMR (Elastic Map Reduce) hardware cluster. If you’re not familiar with AWSyou can skip this video, but it’s still worthwhile to watch rather than following along with the coding.You’ll be going deep into the internals of Spark and you’ll find out how it optimizes your execution plans. We’ll be comparing the performance of RDDs vs SparkSQL, and you’ll learn about the major performance pitfalls which could save a lot of money for live projects.Throughout the course, you’ll be getting some great practice with Java 8 Lambdas – a great way to learn functional-style Java if you’re new to it.NOTE: Java 8 is required for the course. Spark does not currently support Java9+ (we will update when this changes) and Java 8 is required for the lambda syntax.
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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.