Master Apache Spark - Hands On! (Udemy.com)

Learn how to slice and dice data using the next generation big data platform - Apache Spark!

Created by: Imtiaz Ahmad

Produced in 2021

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What you will learn

  • Utilize the most powerful big data batch and stream processing engine to solve big data problems
  • Master the new Spark Java Datasets API to slice and dice big data in an efficient manner
  • Build, deploy and run Spark jobs on the cloud and bench mark performance on various hardware configurations
  • Optimize spark clusters to work on big data efficiently and understand performance tuning
  • Transform structured and semi-structured data using Spark SQL, Dataframes and Datasets
  • Implement popular Machine Learning algorithms in Spark such as Linear Regression, Logistic Regression, and K-Means Clustering

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Overall Score : 94 / 100

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Course Description

Apache Spark is the next generation batch and stream processing engine.
It's been proven to be almost 100 times faster than Hadoop and much much easier to develop distributed big data applications with. It's demand has sky rocketed in recent years and having this technology on your resume is truly a game changer. Over 3000 companies are using Spark in production right now and the list is growing very quickly! Some of the big names include: Oracle, Hortonworks, Cisco, Verizon, Visa, Microsoft, Amazon as well as most of the big world banks and financial institutions!
In this course you'll learn everything you need to know about using Apache Spark in your organization while using their latest and greatest Java Datasets API. Below are some of the things you'll learn:
How to develop Spark Java Applications using Spark SQLDataframesUnderstand how the Spark Standalone cluster works behind the scenesHow to use various transformations to slice and dice your data in Spark JavaHow to marshall/unmarshall Java domain objects (pojos) while working with Spark DatasetsMaster joins, filters, aggregations and ingest data of various sizes and file formats (txt, csv, Json etc.)Analyze over 18 million real-world comments on Reddit to find the most trending words usedDevelop programs using Spark Streaming for streaming stock market index filesStream network sockets and messages queued on a Kafka clusterLearn how to develop the most popular machine learning algorithms using Spark MLlib Covers the most popular algorithms: Linear Regression, Logistic Regression and K-Means ClusteringYou'll be developing over 15 practical Spark Java applications crunching through real world data and slicing and dicing it in various ways using several data transformation techniques. This course is especially important for people who would like to be hired as a java developer or data engineer because Spark is a hugely sought after skill. We'll even go over how tosetup a live cluster and configure Spark Jobs to run on the cloud.
You'll also learn about the practical implications of performance tuning and scaling out a cluster to work with big data so you'll definitely be learninga ton in this course. This course has a 30 day money back guarantee. You will have access to all of the code used in this course. Who this course is for:
Anyone who is a Java developer and want's to add this seriously marketable technology on their resumeAnyone who wants to get into the data science fieldAnyone who is interested in into the world of big dataAnyone who wants to implement machine learning algorithms in spark

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Instructor Details

Imtiaz Ahmad

Imtiaz is an award winning Udemy instructor who is highly experienced in big data technologies andenterprise software architectures. Imtiaz has spent a considerable amount of time building financial software on Wall St. and worked with companies likeS&P, Goldman Sachs,AOLand JPMorganalong with helping various startups solve mission critical software problems. In his 13+ years of experience, Imtiaz has also taught software developmentin programming languages like Java, C++, Python, PL/SQL, Ruby and Javascript. He's the founder ofJobReady Programmer -an online programming school that prepares students of all backgrounds to become professional job-readysoftware developers throughreal-world programmingcourses.

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Reviews

4.7

70 total reviews

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By Somya Jain on 11/21/2020

Great

By Enrique Barcelo on 11/14/2020

This course is amazing and enabled me to start using Spark for my daily work. Thanks!

By Arti on 11/7/2020

Perfect course n content

By Cirino Martinez on 11/7/2020

excellent course, I liked it as an essential course to work spark with Java.

By David Borja on 10/5/2020

Awesome course! i learned a lot about Spark. Would be great an additional course on Spark ML.

By Ashish Kumar on 9/26/2020

Very nice content and wonderful delivery

By Varuna R on 9/22/2020

well explanation on each line of code

By Upendra Kanuru on 9/8/2020

Clear and concise

By Frank Plohmann on 8/25/2020

very good basics. which i needed.

By Nadav Peretz on 7/13/2020

its a good course, very simple till lesson 15 , and i understand it very well , thanks

By Roland Takong on 7/9/2020

succinct and concise which demonstrates good mastery of spark. simple to understand. great job. really hands-on

By Manjunath Shankar on 7/6/2020

Yes. Do explain the fundamentals of Spark better. How Spark decides for example how many instances of Data Frames to create for large data sets and how it manages extremely large data files as RAM memory is limited