Scala Interview Questions And Answers | Apache Spark Training | Edureka

** Apache Spark and Scala Certification Training: https://www.edureka.co/apache-spark-scala-certification-training ** This Edureka video on "Scala Interview Questions and Answers" helps you in understanding how to tackle questions in a Scala Interview and also gives you an idea of the Questions that can be asked in a Scala Interview. The Scala interview questions cover a wide range of questions from various components. This Video is divided into three sections as follows: 0:57 Scala Beginner Interview Questions 4:42 Scala Intermediate Interview Questions 19:52 Scala Advanced interview Questions Subscribe to our Edureka YouTube channel to get video updates: https://goo.gl/6ohpTV PG in Big Data Engineering with NIT Rourkela : https://www.edureka.co/post-graduate/big-data-engineering (450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies) Instagram: https://www.instagram.com/edureka_learning Slideshare: https://www.slideshare.net/EdurekaIN/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka -------------------------------------------------------------------------------------- How it Works? 1. This is a 5 Week Instructor-led Online Course, 40 hours of assignment and 30 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the course Apache Spark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This Training would help you to clear the CCA Spark and Hadoop Developer (CCA175) Examination. You will understand the basics of Big Data and Hadoop. You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. You will also learn about RDDs, DataFrames, Spark SQL for structured processing, different APIs offered by Spark such as Spark Streaming, Spark MLlib. This course is an integral part of a Big Data Developer’s Career path. It will also encompass the fundamental concepts such as data capturing using Flume, data loading using Sqoop, a messaging system like Kafka, etc. -------------------------------------------------------------------------------------- Why should you go for Online Spark Training? Spark is one of the most growing and widely used tools for Big Data & Analytics. It has been adopted by multiple companies falling into various domains around the globe and therefore, offers promising career opportunities. In order to take part in this kind of opportunities, you need a structured training that is aligned as per Cloudera Hadoop and Spark Developer Certification (CCA175) and current industry requirements and best practices. Additionally, all your doubts will be addressed by the industry professional, currently working on real-life big data and analytics projects. -------------------------------------------------------------------------------------- What are the skills that you will be learning with our Spark Certification Training? The Edureka’s Spark Training is designed to help you become a successful Spark developer. During this course, our expert instructors will train you to- Write Scala Programs to build Spark Application Master the concepts of HDFS Understand Hadoop 2.x Architecture Understand Spark and its Ecosystem Implement Spark operations on Spark Shell Implement Spark applications on YARN (Hadoop) Write Spark Applications using Spark RDD concepts Learn data ingestion using Sqoop Perform SQL queries using Spark SQL Implement various machine learning algorithms in Spark MLlib API and Clustering Explain Kafka and its components Understand Flume and its components Integrate Kafka with real-time streaming systems like Flume Use Kafka to produce and consume messages Build a Spark Streaming Application Process Multiple Batches in Spark Streaming Implement different streaming data sources -------------------------------------------------------------------------------------- Who should go for our Spark Training Course? Developers and Architects BI /ETL/DW Professionals Senior IT Professionals Testing Professionals Mainframe Professionals Freshers Big Data Enthusiasts Software Architects, Engineers, and Developers Data Scientists and Analytics Professionals For more information, Please write back to us at [email protected] or call us at: IND: 9606058406 / US: 18338555775 (toll free)