Become a Master of Spark using Scala to Stage, Transform, and Store with Spark RDDs, DataFrames, and Apache Sqoop
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.
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
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Hi! I'm Dhruval Singh. I am a Machine Learning and SAP Expert. But you can call me a coding geek. I started very early in my career with Java and Python and wanted to know what all tech capabilities I can acquire. I have come a long way (about 7 Programming Language units) and mastered Python, R, Java, SAP FICO,...
Many hands-on practices.
It would be great if the course could have started with Spark Basics.
Good and quite clear lecture on dataframe.
Right to the practical hands on, good for learning the technical details.. but not all function like spark transformation is provided, it is more general use case
Very weak:
* no theory/explanation of the subject (i.e. what is the difference between reduce() and reduceByKey() or what is reduce at all)
* no materials - just video
In fact all I got is several functions with several examples shown as copy paste in small terminal... No data, no sources, no text, just video.
Will try to avoid such courses - will watch through chapters carefully just to find out what will I get after I pay.
No explanation for how to prepare your environment. Nothing at all. I don't even know what to download from Cloudera. No explanation at all. Instructor just dives right into hadoop commands as if we received some instruction on how to get set up.
Very good course. What I was missing was the source databases for the lectures - as I'm using custom Hadoop cluster, I did not have the databases at hand and had to bear with the lectures without actual coding.
very well done: concentrated and focused - gives me a good feeling to continue for CCA 175...
The context and samples are great. The problem is the lecturer is always writing at the very last row of the screen which gets covered by the video player progress bar.
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Will
Good examples