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.
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%.
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.