Master Apache Spark - Hands On!
What you'll 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
Requirements
- Some basic Java programming experience is required. A crash course on Java 8 lambdas is included
- You will need a personal computer with an internet connection.
- The software needed for this course is completely freely and I'll walk you through the steps on how to get it installed on your computer
Description
Welcome to Apache Spark Mastery – Hands-On Big Data Processing!
Are you a Java developer or data engineer eager to harness the power of big data?
Do you want to design scalable data processing pipelines using one of today’s most powerful platforms?
Have you been challenged by real-time data streams or the complexities of performance tuning in distributed systems?
If you answered yes, then you’re in the right place.
What Makes This Course Stand Out?
Hands-On Experience: Build over 15 real-world Spark applications that tackle actual data challenges.
Comprehensive Curriculum: Dive deep into Spark’s Java Datasets API, Spark SQL, Dataframes, and Streaming to transform and analyze data efficiently.
Cloud Deployment & Performance Tuning: Learn how to deploy Spark jobs on the cloud, benchmark performance, and optimize clusters for maximum efficiency.
Industry-Relevant Projects: Work with diverse data sources—from text and CSV to JSON—and analyze large-scale datasets like millions of Reddit comments.
Why This Course Is Essential:
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!
You'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 to setup 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 learning a ton in this course.
Topics Covered in the Apache Spark Course
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 SQL Dataframes
Understand how the Spark Standalone cluster works behind the scenes
How to use various transformations to slice and dice your data in Spark Java
How to marshall/unmarshall Java domain objects (pojos) while working with Spark Datasets
Master 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 used
Develop programs using Spark Streaming for streaming stock market index files
Stream network sockets and messages queued on a Kafka cluster
Learn how to develop the most popular machine learning algorithms using Spark MLlib
Covers the most popular algorithms: Linear Regression, Logistic Regression and K-Means Clustering
KEY BENEFITS OF APACHE SPARK MASTERY
Mastering Apache Spark positions you at the forefront of big data technology. With this expertise, you’ll be able to design efficient, scalable data processing pipelines that are in high demand across industries. Spark’s widespread adoption by over 3000 companies—including Oracle, Cisco, and Amazon—underscores its value in today's competitive tech landscape. This course will not only boost your technical skills but also enhance your resume, opening doors to exciting career opportunities in data engineering and data science.
KEY TAKEAWAY
By the end of this course, you’ll have the practical skills and in-depth knowledge to harness Apache Spark for building high-performance, scalable data solutions. Whether you’re looking to boost your career or transform how your organization handles big data, Apache Spark Mastery is your gateway to success.
This course has a 30 day money back guarantee. You will have access to all of the code used in this course.
Ready to transform your big data capabilities? Enroll now and start mastering Apache Spark today!
Who this course is for:
- Anyone who is a Java developer and want's to add this seriously marketable technology on their resume
- Anyone who wants to get into the data science field
- Anyone who is interested in into the world of big data
- Anyone who wants to implement machine learning algorithms in spark
Featured review
Instructor
- 4.5 Instructor Rating
- 134,758 Reviews
- 523,364 Students
- 19 Courses
You can’t learn programming from reading books or online fill-in-the-blank type tutorials. Especially the online tutorials with browser based exercises where you code directly in your browser. The problem with that approach is that it doesn’t provide practical experience. It provides an illusion of learning something as it tugs you along to complete an assignment that’s more of a fill-in-the-blank type problem. A student feels like they’ve learned something but that knowledge does not stick. Unfortunately that experience will not help in an interview nor an actual project. Valuable time ends up going to complete waste. At JRP (JobReadyProgrammer), we don’t follow hype. We do what works! We take a traditional route to teaching how to code advancing slowly & patiently in the lectures often repeating key concepts in multiple different ways to help students really solidify the knowledge and mold their foundation to discover how to code properly and then boy do we test the skills! Students are put right in the middle of a practical real-world programming assignment to apply everything they've learned. So enough of those “key in the next few commands to fill in the puzzle and we’ll advance you” kind of tutorials. Here you’ll need to roll up your sleeves and get to work on solving practical programming assignments.