If you need a fast engine for large data processing, Apache Spark should be your first option on the list. It has multiple advantages over other frameworks for processing Big data. This Apache Spark tutorial is here for you to learn to use it practically. You’ll build a real employee attrition prediction model to find out the top reasons why employees leave an organization. Join in to learn a useful tool ready to use for HR analytics straight away.
Your end result of learning how to use Spark in this tutorial is going to be implementing the employee attrition prediction machine learning (ML) model. You’re going to use the Databricks platform. To do that, there will be several steps that you’ll need to learn and practice, and I’m here to guide you all the way. You’ll find a collection of downloadable content that will help you progress faster in this Spark tutorial.
My goal is to provide you with practical tools that will be beneficial for you in the future. While doing that, you’ll develop a model with a real use opportunity.
To enter this course, you need to have a basic understanding of Spark, SQL, and machine learning. It’s intended for:
Learning how to use Spark will increase your value in the job market since you’ll have a skill suitable for many different qualifications. Enroll in this Apache Spark tutorial today, and let’s start learning!
I am Solution Architect with 12+ year’s of experience in Banking, Telecommunication and Financial Services industry across a diverse range of roles in Credit Card, Payments, Data Warehouse and Data Center programmes
My role as Bigdata and Cloud Architect to work as part of Bigdata team to provide Software Solution.
- Support all Hadoop related issues
- Benchmark existing systems, Analyse existing system challenges/bottlenecks and Propose right solutions to eliminate them based on various Big Data technologies
- Analyse and Define pros and cons of various technologies and platforms
- Define use cases, solutions and recommendations
- Define Big Data strategy
- Perform detailed analysis of business problems and technical environments