Cloudera CCA 175 Spark Developer Certification: Hadoop Based (Udemy.com)
Become a Master of Spark using Scala to Stage, Transform, and Store with Spark RDDs, DataFrames, and Apache Sqoop
Created by: Dhruv Bais
Last updated July 2018
What you will 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
How it compares
Against the other 150 rated Udemy courses in Hadoop on CourseDuck:
- Rating4.4 out of 5higher than 54% of them
- Reviews166#96 of 151 by number of reviews
- Length6.6 hourslonger than 55% of them
- Last updatedJuly 2018earlier than 82% of them
Course Description
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.
Instructor Details
- 4.4 Rating
166 Reviews
Dhruv Bais
Hello learners! I'm Dhruv Bais, an AI and automation specialist with a unique blend of experience spanning cutting-edge financial trading and advanced autonomous systems. My journey has taken me from the fast-paced world of Wall Street, where I leveraged AI to optimize trading strategies at SMB Capital, to the depths of the ocean, developing AI for autonomous underwater vehicles with the Republic of Singapore Navy.
In my role as a Quantitative Equities Trader, I harnessed the power of chatbots and conversational AI for real-time market insights, automated complex trading workflows, and built sophisticated machine learning models to identify profitable trading opportunities. My expertise extends to robust data engineering pipelines, ensuring the seamless flow of information for data-driven decision making.
Prior to that, as an Autonomous Vehicles Specialist, I engineered AI algorithms for object detection, navigation, and critical detection tasks in challenging underwater environments. This involved developing and training machine learning models, designing data pipelines for sensor data, and rigorous testing for reliability.
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Reviews
By Bambang Subekti on 8/31/2020
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
By Pavol Vadkerti on 8/7/2019
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.
By Mkokabi@Yahoo.com on 4/8/2019
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.
By Peter Gergely Horvath on 2/12/2019
Good introduction, however getting a bit outdated. The CCA 175 exam now allows the usage of Spark 2.3, which makes loading data much easier, that is not demonstrated here at all. Some exam topics are not covered by this course, so even if you know everything mentioned here inside out, you might have surprise during the exam...
By Joao Lopes Ribeiro da Silva on 9/27/2018
Excellent course, one of the best I've seen! I surelly recomend to all of those learning Spark!
By Gaurav gayawar on 9/25/2018
My internet speed is very gud but still this video gets stop in between,,,seems like buffering,,,,I dont know why this gets stop,,,because youtube works fine at my internet speed. Content of the video is very gud.
By Neji Tawo on 9/2/2018
This course is short and straight to the point. I'm learning so much and really glad i purchased it.
By Feng Tian on 8/10/2018
This is one of best hands-on classes I have ever taken. Excellent explanation, easy to follow hands-on steps. Well done!
By Rajesh Subramaniyan on 8/2/2018
The lecture was very helpful and practical oriented. The explanations are very good and instructor has sound knowledge.
By Arun Mohan on 7/23/2018
The course was really engaging and wonderful, learnt a lot. just a suggestion since its spark it would be better if you can cover the rdd, dataset and dataframe apis in more details. nevertheless the focus was on the CCA 175 so no complaints. Thank you for the free course.
Quality Score
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Overall Score : 88 / 100









