Cca175 Cloudera Hadoop And Spark Developer Exam Hands On Practice Book And Preparation
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CCA175: Cloudera Hadoop and Spark Developer Exam Hands-on Practice Book and Preparation
Author: HadoopExam Learning Resources
language: en
Publisher: HadoopExam Learning Resources(ADITECH Global Solutions)
Release Date: 2016-08-06
CCA175 , CCP DE575
HDPSCD-Hortonworks® Spark Scala Certification Guide
Apache® Spark is one of the fastest growing technology in BigData computing world. It supports multiple programming languages like Java, Scala, Python and R. Hence, many existing and new framework started to integrate Spark platform as well in their platform e.g. Hadoop, Cassandra, EMR etc. While creating Spark certification material HadoopExam technical team found that there is no proper material and book is available for the Spark (version 2.x) which covers the concepts as well as use of various features and found difficulty in creating the material. Therefore, they decided to create full length book for Spark (HDPSCD Spark Scala Certification) and outcome of that is this book. In this book technical team try to cover both fundamental concepts of Spark 2.x topics which are part of the certification syllabus as well as add as many exercises as possible and in current version we have around 10 hands on exercises added which you can execute on the Hortonworks sandbox, as this book is focused on the Scala version of the certification, hence all the exercises and their solution provided in the Scala. We have divided the entire book in the 7 chapters, as you move ahead chapter by chapter you would be comfortable with the HDPSCD Spark Scala certification. All the exercises given in this book are written using Scala. However, concepts remain same even if you are using different programming language.
Spark 2. 0 Interview Questions
This Book is published by www.HadoopExam.com (HadoopExam Learning Resources). Where you can find material and training's for preparing for Big-data, Cloud Computing, Analytics, Data Science and popular Programming Language. This Book will contain 130+ frequent interview questions for Spark 2.0 framework, which also covers the YARN framework, Spark streaming, Core Spark and SparkSQL, PySpark, these questions will not only help you in clearing interview process, but also you can understand various underline concepts, which Spark engine uses internally. Also, it is recommended that you go through the Spark Hands On Training provided by HadoopExam. In training we have created concepts as well as practicals by creating simple and complex problems with the use of Spark framework API. While publishing this book there are 32 modules available, which are in-line with Spark technology to be used on Hadoop Framework.As you know, Spark is one the most popular computing framework used and very well integrate with the Hadoop framework. You can see previously professionals were using MapReduce framework as a computing engine, but since Spark developed it is almost replaced by Spark engine, because Spark can give you rich API as well as it do most of the time data processing by having data in memory. Having data in-memory can save lot of disk I/O and drastically improve the performanced of submitted application. If you see now a days IOT and Machine learning are catching up and most of the professional started using higher level API created using Spark framework like MLib, Graphx etc. Spark technology is now a days an exclusive skill, which most of developer want to learn. So to fulfill this need HadoopExam.com has many learning resources for learning Spark and doing certifications. Currently we have following products available to make you master in Apache Framework, visit HadoopExam.com for more detail. 1. Apache Spark Professional Training with Hands On Lab Sessions 2. Oreilly Databricks Apache Spark Developer Certification Simulator3. Hortonworks Spark Developer Certification 4. Cloudera CCA175 Hadoop and Spark Developer Certification 5. MapR Spark Certification preparation materialThis book has collection of questions, which are usually asked by the interviewer while filtering the candidates who had really worked on Spark framework which is well integrated with the Hadoop Framework.