Scalable programming with Scala and Spark | Software Engineering Online Course by Udemy

Development Online Course by Udemy, On Sale Here

Use Scala and Spark for data analysis, machine learning and analytics

An excellent training about Software Engineering

Scalable programming with Scala and Spark

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 Java and with billions of rows of data. Get your data to fly using Spark and Scalafor analytics, machine learning and data scienceLets parse that. What’s Spark?If you are an analyst or a data scientist, you’reused to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code. Scala: Scala is a general purposeprogramming language – like Java or C++. It’s functional programming nature and the availability of a REPLenvironment make it particularly suited for a distributed computing framework like Spark. Analytics: Using Spark and Scala you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease. Machine Learning and Data Science: Spark’s core functionality and built-in libraries make it easy to implement complex algorithms like Recommendations with very few lines of code. We’ll cover a variety of datasets and algorithms includingPageRank, MapReduceand Graph datasets. What’s Covered: Scala Programming Constructs: Classes, Traits, First Class Functions, Closures, Currying, Case ClassesLot’s of cool stuff. Music Recommendations using Alternating Least Squares and the Audioscrobbler datasetDataframes and Spark SQL to work with Twitter dataUsingthe PageRank algorithm with Google web graph datasetUsing Spark Streaming for stream processingWorking with graph data using theMarvel Social network dataset. and of course all the Spark basic and advanced features: Resilient Distributed Datasets, Transformations (map, filter, flatMap), Actions (reduce, aggregate)Pair RDDs, reduceByKey, combineByKeyBroadcast and Accumulator variablesSpark for MapReduceThe Java API for SparkSpark SQL, Spark Streaming, MLlib and GraphX

Udemy is the leading global marketplace for learning and instruction

By connecting students all over the world to the best instructors, Udemy is helping individuals reach their goals and pursue their dreams.

Study anytime, anywhere.

START HERE