About the course
Become a Master of Spark using Scala to Stage, Transform, and Store with Spark RDDs, DataFrames, and Apache Sqoop
What Will I Learn?
Get Hands-on Experience as to how they themselves can become Spark Application Developers
Become masters at working with Spark DataFrames, HiveQL, and Spark SQL
Understand how to control importing and exporting of Data in Spark through Apache Sqoop in the exact format that is needed
Learn all Spark RDDs Transformations and Actions needed to analyze Big Data
Become absolutely ready for the Cloudera Spark CCA 175 Certification Exam
- Laptop and willingness to learn :)
- Optional: Cloudera Virtual Machine Installed (don't worry if you don't have it. I will show you in the course)
- Optional: Apache Spark Programming Guide 1.6 for Reference (don't worry - link given in course)
Apache Spark is the single most revolutionizing phenomenon in Big Data Technologies. Spark turns infrastructure into a service, making provisioning hardware fast, simple, and reliable. Knowing this, many companies are transporting their big data analysis, staging, and storing needs to the Spark Framework. In this course, I will be preparing you for the CCA 175 Spark Developer Certification. This is the most popular and a very potent certificate in the Big Data realm.
In order for you to be able to get into this new realm of intense Tech competition, you will need a course to guide your way in Spark. The problem is that most courses are not designed to help you learn by example (immersion is the most potent way of learning in humans). Rather they bathe you with inapplicable information that you have to learn over and over again anyways.
This course is designed to cover the end-to-end implementation of the major components of Spark. I will be giving you hands on experience and insight into how big data processing works and how it is applied in the real world. We will explore Spark RDDs, which are the most dynamic way of working with your data. They allow you to write powerful code in a matter of minutes and accomplish whatever tasks that might be required of you. They, like DataFrames, leverage the Spark Lazy Evaluation and Directed Acyclic Graphs (DAG) to give you 100x better functionality than MapReduce while writing less than a tenth of the code. You can execute all the Joins, Aggregations,Transformations and even Machine Learning you want on top of Spark RDDs. We will explore these in depth in the course and I will equip you with all the tools necessary to do anything you want with your data.
I have made sure that this journey becomes a fun and learning experience for you as the student. I have structured this course so that you can learn step by step how Spark works and you can do the activities that I do in the course yourself. As you do these activities, you will become a master of Spark and complete any exercise asked of you on the CCA 175 certification exam.
There is no risk for you as a student in this course. I have put together a course that is not only worth your money, but also worth your time. I urge you to join me on this journey to learn how to dominate the IT world with the one of the most popular Big Data Processing Frameworks: Apache Spark.
Who is the target audience?
- Those interested in getting the Spark CCA 175 certificate
- People looking to further their career in IT and Data Science via developing Spark Applications to manage Data Analytics
- Anyone interested in Big Data Technologies and Mastering Spark
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