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Apache Spark is an Open Source and unified analytics engine for large-scale data processing. Apache Spark is being used by industry wide for programming clusters with implicit data parallelism and fault tolerance. Spark is maintained by Apache Software Foundation and its first release was done in May 2014 and since Spark 1.x to Spark 3.x there are various new features got added to improve performance and usability. If you have worked with Spark 1.x then you certainly had written your program using RDD, which was a very complex read only data structure. Now no programmer use RDD and it is advised to avoid until and unless there is an absolute need. This particular certification focuses Spark 3.x+ version and solving problem statements using Scala programming language. Apache Spark can run on all three platforms Windows, MacOs and Linux. Hence, you can deploy on your local machine and within a couple of hours, you can become productive. As part of training, you dont have to setup Spark environment, rather you will be provided a Spark Cluster Link, which you can use to Run all the exercises will go through during training courses, and even required dataset also provided. Hence, you dont have any burden of env setup, use QuickTechie Lab for your exercise.
Successful completion of this Apache Spark Developer Certification will enable you to work in Big Data project more efficiently and give you a significant advantages in this new world. Overall, you will gain following key points
You would be able to develop Apache Spark Applications using Scala programming language.
You would be a QuickTechie Certified Apache Spark Developer
You would be having Hands On with Apache Spark Development Experience
You would be able to write performant and optimized code using Scala on Spark Platform.
Most important thing its Vendor Agnostic learning and your knowledge is not just locked in with a Specific Vendor platform.
QuickTechie and HadoopExam together enhance this training On Regular Interval.
You will get QuickTechie provided Lab access (Spark Live Cluster) for 3 month after your subscription.