Book : Spark 2.x SQL

Book : Spark 2.X SQL (Latest Version)

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Spark framework has changed a lot between Spark 1.x and Spark 2.x In Spark 2.x major focus was Spark SQL . Hence, we have a full length book of Spark2.x SQL with the following 16 chapters. This book is part of Annual Subscription, if you have already then it will be added for your account.

Chapter-1: Spark SQL Introduction
Chapter-2 Catalyst Optimizer.
Chapter 3: Project Tungsten
Chapter-4: Setting up Spark Environment
Chapter-5 SparkSQL Schema
Chapter 6: SparkSQL abstractions & Other Objects
Chapter 7: DataFrameReader and DataFrameWriter
Chapter 8: SparkSQL and Hive Support
Chapter 9: SparkSQL and JSON
Chapter 10: SparkSQL and Encoders
Chapter 11: Caching and Check-pointing
Chapter-12: Dataset and Joins
Chapter-13: RelationalGroupedDataset
Chapter-14: SparkSQL Functions
Chapter-15: Dataset Actions and Transformations.
Chapter-16: Spark Certifications

Spark (Core) Scala Professional Training
Get Subscription : Spark 2.X SQL (Using Scala) Professional Training with Hands On Sessions
Get Annual Subscription :This training is Part of Annual Subscriptions (If you already have annual subscription, then no need to buy again)
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 Since last couple of years it was found that Spark is one of the fastest growing technology and demand for Spark professionals has increased exponentially. At the same time HadoopExam also providing best material for Spark. Hence, we have released this Spark SQL professional training with the latest available Spark platform. Spark SQL is must for all the below professionals as below 

  • Developer
  • Data Engineer
  • Data Analytics
  • Data Scientists 

If you are working in any of the above domain than you can not skip Spark SQL. Even, Spark team has also putting lot of effort on Spark SQL. All the new modules e.g. GraphFrame, Machine Learning and Structured streaming are being developed using Spark SQL. And one of the two important technology and architecture changes which are part of Spark SQL are below and helping Spark in improving Spark performance drastically.

  •  Catalyst Optimizer (Heart of Spark SQL)
  •  Project Tungsten (Bring Spark as close to Bare Metal as possible)
Databricks Spark 2.x (Scala) Developer Certification
CCA 175 : Cloudera® Hadoop & Spark Developer

Recently we have updated AWS Solution Architech : Associate Certification simulator as per the Feb 2018 updated syllabus and 31 new scenario based questions have been added.

Visit : AWS SA Solution Architect Web Page (As per new syllabus)

MapR Spark (MCSD) : MapR is one of the popular vendor for BigData solutions and they have entire ecosystem created for various BigData engineering, Machine Learning, IOT and Data Science problems. Yes, they have leveraged all the available open source products and optimized those products for efficiency and make it more user friendly. However, to prove that you have good knowledge of MapR products, you need to certify yourself in those particular products. We have been continuously receiving request from our huge loyal learners that they wish to go for MapR Spark certification as well. Many of them already certified different products using HadoopExam focused certification preparation material. Our dedicated technical team had done lot of research and feedback from existing learner as well as who appeared in real exam, we have created a bundle of 220+ MapR Spark Scala Certification material. Main challenge of Spark  certification is the version and complex programming questions with sample data, which version are you using to prepare the exam. 

PDF: Download MapR Spark (1.6) Certification Preparation Guide
Get MapR Spark (1.6) Certified Simulator 220+ Questions
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