Apache Spark and Scala: The Complete Course is designed to bring you up to speed with Scala and Apache Spark. Scala is a powerful functional programming language, while Apache Spark is an in-memory data processing framework. This course covers all the elemental concepts of Scala and Apache Spark and takes you from a beginner to an expert in no time!
Apache Spark and Scala are core technologies that power applications across industries.
Apache Spark is a distributed processing engine that supports a variety of programming models, including SQL, streaming, and machine learning. Spark is a platform for big data processing, creating actionable insights from complex datasets at massive scales. Apache Spark comes with a rich set of APIs and libraries, so you can be more productive. The Spark ecosystem also comprises Spark SQL, Spark Streaming, Spark Machine Learning, and Spark GraphX.
Apache Spark is a data processing engine that runs large-scale machine learning, streaming, and SQL workloads. Apache Spark is developed by the Apache Software Foundation and is available as a free, open-source product.
Scala is a general-purpose, multi-paradigm programming language for the Java Virtual Machine (JVM).
By the end of this course, you will be confident in writing Scala code and building Apache Spark applications.
This Apache Spark and Scala Training course are for developers and data scientists who want to learn how to process and analyze data using the Apache Spark platform. This course covers the core concepts of Apache Spark and the Scala programming language. You will learn how to use Spark for data processing, machine learning, and streaming. By the end of this course, you will be able to build Spark applications that can be deployed on a cluster.
At NPN Training, you will learn the basics of both Apache Spark and Scala, and how to use them together to build powerful data processing applications. You will also get real-time experience working on the projects to develop your skills and prepare for the certification exams.
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Big Data Training for Professionals with Hadoop Training is best suitable for any candidates looking to make a career mark in Big Data Analytics and Data-related field. Learning Big Data Hadoop Certification Training Program will help you build a rewarding career as a Hadoop Administrator, Big Data Engineer, Big Data Architect, Data Scientist, & Big Data Analytics. Experienced working professionals and project managers can learn Big Data Hadoop Course. Mainframe and testing professionals, and system administrators and programmers can also opt for the Big Data Training course.
Our Big Data Trainers at NPN Training have an excellent track record of conducting the most interactive sessions. They are experts in Apache Hadoop including Hadoop distribution, HDFS, YARN, MapReduce, Hive, Pig, and HBase. Big Data Hadoop Trainers are industry experienced trainers with hands-on experience in software development and data management.
On successful completion of the Big Data Training & Hadoop Training Course, a Certificate of Completion is provided by NPN Training. Big Data Hadoop Certification Training will be awarded to you, and you can share achievements & skills on your resume and LinkedIn.
110 hours extensive class room
training.
36 sessions of 3 hours each. Course Duration : 4Months
For each of the module multiple Hands-on exercises, assignments and quiz are provided in Google Classroom
We have a community forum for all our students wherein you can enrich your learning through peer interaction.
On completion of the project NPN Training certifies you as a “ Big Data Architect ” based on the project.
On successful completion of the Apache Spark & Scala Training Course Modules, a Certificate of Completion is provided by NPN Training. Apache Spark & Scala Training Training will be awarded to you, and you can share achievements & skills on your resume and LinkedIn.
