It’s time to learn how to use Apache Spark with some real-world benefits! Create 2 mini projects in Apache Spark using Machine Learning libraries: heart attack and diabetes prediction. If you’re a beginner Apache Spark developer, Big Data engineer, machine learning engineer, data scientist or someone related to that, then this Apache Spark training is just right for you. Get the skills to focus on data problems with confidence.
Machine Learning specialists are getting in high demand. The number of user-focused diverse data products is growing , so the industry needs those who can ensure personalization, provide with relevant recommendations, and make predictive insights. Traditional, outdating tools need more time to support their infrastructure than actually build models for solving problems. The reason is that we’re now facing unparalleled volumes and varieties of data that organizations gather.
Apache Spark is designed to ensure simplicity and scalability. It’s highly valued by the community for its easy integration with other tools. Learning Apache Spark and machine learning libraries will help you increase work efficiency. It copes with data problems faster and processes bigger workloads. These skills are necessary for data analysts/scientists/engineers, AI scientists, database experts, or even software engineers. Experience in this field is likely to ensure great income opportunities for many years to come.
Are you wondering what exactly you are going to add to your portfolio after finishing this Apache Spark for beginners tutorial? It’s going to be 2 mini projects where you will practically use all that you’ll learn in this course. You’ll build heart attack and diabetes prediction projects with Apache Spark machine learning. So, to achieve that, you’re going to cover the following topics to learn how to use Apache Spark like a competent engineer:
It’s going to be a fairly straightforward Apache Spark training with a step-by-step explanation of concepts. You’re then going to do a lot of hands-on work to implement them.
This course is intended for beginners. However, having Apache Spark and Scala basics, as well as foundational knowledge of SQL and machine learning will be beneficial for you. This way, you can take more from this course and progress faster. I invite you to make the decision right at this moment and start learning immediately so that you can use the skills in the real world soon! I’ll see you on the course.
Course consist of total 2h 54min of content, in total.
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