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.
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.
Apache Spark is a great platform for data scientists, which basically is a cluster computing framework that can handle almost all kind of queries for all kind of data types that too in a quick time. Today, Spark is becoming one of the most intriguing Big Data platforms for the data scientists because of its ability to store data resident in memory that helps speed up machine learning workloads, unlike Hadoop. 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 Ptogramming course, you will be able to:
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.