MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 9.5 hours | Size: 4.89 GBLearn Apache Spark using JavaWhat you’ll learnLexical ScopingUnderstanding ClosuresCollectorsSpark Unified StackApache spark ArchitectureProgramming with RDDsSpark Driver Web UILifecycle of SparkCommon RDD TransformationsRDD Persistence and Cache etcRequirementsBasic knowledge of Big DataBasics of OOPSBasic knowledge of Programming TerminologiesDescriptionThis course covers all the Basics about Apache Spark with Java and teaches you everything you need to know about developing Spark applications with Java.

Spark is one of the most growing and widely used tool 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 these 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.

Besides strong theoretical understanding, it is quite essential to have a strong hands-on experience.

Hence, during this course, you will be working on various industry-based use-cases and projects incorporating big data and spark tools as a part of solution strategy.

Additionally, all your doubts will be addressed by the industry professional, currently working on real life big data and analytics projects.

At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adapt Apache Spark for building big data processing pipeline and data analytics applications.

Who this course is for:Software EngineersBig Data ArchitectBig Data DeveloperStudentsBig Data Professionals