This Spark certification training helps you master the essential skills of the Apache Spark open-source framework and Scala programming language, including Spark Streaming, Spark SQL, machine learning programming, GraphX programming, and Shell Scripting Spark. You will also understand the role of Spark in overcoming the limitations of MapReduce.
The global Apache Spark market revenue may grow to $4.2 billion by 2020, with a cumulative market value of $9.2 billion and a growth rate of 67 percent. Professionals with Apache Spark skills find job opportunities in sectors like retail, manufacturing, and healthcare.
Help a banking institution to perform the marketing analysis of the data generated by a marketing campaign to convince potential customers to invest in a bank term deposit scheme.
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
Here are the prerequisites needed for the Apache Spark course:
After successful completion of the Apache Scala & Spark course, you will be awarded the course completion certificate from Simplilearn.
The Apache Scala & Spark certification from Simplilearn has lifelong validity.
The CCA175 Spark and Hadoop Developer exam costs USD $295.
There are 8–12 performance-based (hands-on) tasks and the passing score is 70%.
If you have passed the exam, you will receive your digital certificate and license number within 5 business days of taking the exam.
You may take the exam as many times as you want until you pass, however, you must pay for each attempt; Retakes are not allowed after the successful completion of a test.
Yes, we provide 1 practice test as part of our course to help you prepare for the actual certification exam. You can try this Spark and Scala Exam Questions - Free Practice Test to understand the type of tests that are part of the course curriculum.
To become a Spark developer, one needs to be well versed in using Spark for cleaning, transforming, and analyzing huge amounts of raw data. With our Spark and Scala certification course, you would learn how to handle this responsibility satisfactorily.
It was really a great learning experience. Big Data course has been instrumental in laying the foundation for the beginners, both in terms of conceptual content as well as the practical lab. Thanks to Simplilearn team that it was not less than a live classroom..Really Appreciate it..
Apache Spark is basically a cluster computing framework used for data analytics that can handle almost all kind of queries for all kind of data types that too in a quick time. In recent times, Apache Spark has emerged as the next-gen generalized engine that can be used for large-scale data processing, which is why most of the organizations and businesses are looking at the possibilities of using it to process data. Here is why you should learn Apache Spark:
The Apache Spark certification training of Simplilearn is designed to:
Once you complete the Apache Spark training and Scala course, you will be able to:
Big Data career opportunities are on the rise, and Apache Spark is quickly becoming a must-know technology. Apache Spark & Scala training is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data, including:
This Apache Spark and Scala training course has one project. In this project scenario, a U.S.based university has collected datasets which represent reviews of movies from multiple reviewers. To gain in-depth insights from the research data collected, you must perform a series of tasks in Spark on the dataset provided.
As per the reports from Indeed.com, the average salary of an Apache Spark developer in Austin, United States is more than $97,000 per year.
The different Apache Spark positions available in Austin are:
Yes, you can cancel your enrollment. We provide a complete refund after deducting the administration fee. To know more, please go through our Refund Policy.
Apache Spark is an open-source data processing framework that can easily perform processing tasks on very large data sets, and also distribute data processing tasks across multiple computers, either on its own or with other distributed computing tools.
Scala is a general purpose programming language which is compiler based and a multi-paradigm programming language. It is a combination of functional programming and object oriented programming languages.
Spark is a unified analytics engine that is used for processing Big Data. It is a cluster computing framework that developers use for processing tasks rapidly with extensive datasets. Scala is an object-oriented programming language in which Spark is written. With Scala, developers can dive into Spark’s source code to get access to the framework’s newest features.
The rapid evolution of learning methodologies, thanks to the influx of technology, has increased the ease and efficiency of online learning, making it possible to learn at your own pace. Simplilearn's Apache Spark and Scala provide eLearning content and access to study materials from anywhere and at any time. Our extensive (and growing) collection of blogs, tutorials, and YouTube videos will help you get up to speed on the main concepts. Even after your class ends, we provide a 24/7 support system to help you with any questions or concerns you may have.
Simplilearn’s Apache Spark certification course gives you a step by step guide for learning all the relevant concepts. It makes you industry-ready by covering all the topics that are included in the CCA175 certification exam.
You can take Simplearn’s PySpark certification training course to learn how to use Python in the Spark ecosystem.
Before taking this Apache Spark certification training course, you can learn about Apache Spark by reading these books: Spark:
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