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QuickTechie Certified Spark(Scala) Developer (Vendor Agnostic)

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. 

Apache Spark has opened a Whole New world for the BigData and Stream processing. Big industry giant already have started using Spark (Scala) or PySpark and made it till production to process huge volume of data in real time as well as in batch and applying Artificial Intelligence and Machine Learning algorithm on that. Apache Spark calls for techies and individuals, whether experienced or just embarking career and who want to build their skills in this BigData, AI/ML, Data Engineering, Data Scientists and Data Analytic ecosystem. This training cum certification aims to provide a deeper understanding of the Apache Spark Architecture as well as important programming construct and writing end to end data pipeline using Apache Spark. Every public Cloud provider supports the Apache Spark as well as your organization can have setup in-house. Spark is also a part of Cloudera CDP platform, Cloudera is one of the pioneer and provider of Big Data solution Framework. This certification is purely consider Apache Spark and vendor agnostic. So whatever, you are going to learn in this certification will be helpful for you to work on any vendor platform.

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.
Apache PySpark Certification Training Duration  Apache Py Spark Certification Duration Apache Spark Certification Live Cluster Access Apache Py Spark Training Access Mode Apache Py Spark Certification Mode Employer Validation of Py Spark Certification Interview Questions and Answer


Watch below video to understand more about Training Cum Certification Course

 
FAQ
SPRKSCL001
QuickTechie Certified Spark (Scala) Developer
As part of training course there would be two Practice Paper will be provided, which comprises 120+ questions and answer with explanation. However, please note that final certification exam will not have questions from these practice questions. This is only for the practice but questions are similar in all aspect of real exam questions.
After successful completion of certificate, you would be provided a soft copy of the certificate and a unique link for the same, which you can share with your employer for validation.
Final Exam-1 : 60 Questions
Final Exam-2 : 60 Questions
There is no need to Unlock the final exam. This is available since day-1 of your subscription. As soon as you pass these both exam, you are eligible for your certificate. However, please note that certificate issuance can take around 72 Hours. But if you want before that then please send email on info@quicktechie.com and our training team try to provide and upload your certificate at earliest.

This certification never expires. However, in future new version of certifications will be released, you need to re-certify yourself on newer version of Apache Spark.

What are the Key features of this training cum certification course
  • Vendor Agnostic
        Whatever, you are learning and getting certified in this course is vendor product agnostic. Its open source software component, hence you dont have to lock-in yourself with vendor specific product. Learn as its core and you would be able to work on any vendor specific platform as well.
  • Self paced

           Now. everything has drastically changed and educating yourself as well. This is a self paced training, which you can complete as per your comfort any time, from any corner of the world.

  • Hands On Exercises & fundamentals
            After completing this course, you not only have deep understanding of fundamentals but also Hands On experience, which will help you to work on your real time project. 
  • Highly Secure
            Application provided by QuickTechie is directly interacting with the Google Cloud in a secure manner using your own Cloud Credentials.
  • Lifetime Access of training Contents
  • You can access this training contents for your entire lifetime, which include
  • Training Contents
  • Practice Questions & Answer
  • Interview Questions Audio Book and Online eBook access
  • Spark Live Cluster Access
    • You will get 3 month Access to Apache Spark Live Cluster Running on Cloud. And you can practice all exercise executed as part of this training.

    Online Certification
  • You don't have to go anywhere to appear for this certification exam and you can appear for real exam anytime, anywhere using any platform. As soon as you pass both the exam, you would be issued certificate.
  • Employer Verification
  • Your employer can validate your credentials anytime, you just need to share certification URL with your employer, which you can have in your resume or on LinkedIn profile. 
  • Interview Questions
  • We are providing you 300+ Interview Questions and Answer, which can help you to prepare for your real interviews.
  • Course Curriculum
  • Training course covers the in-depth Apache Spark Programming Concepts.
Corporate:  If you are a corporate and looking for Bulk subscription then please contact us on info@quicktechie.com
Regular

$99 / 89999 INR Only
$69 / 4999 INR Only
  • Single User Access
  • Subscription period : Lifetime
  • Spark Live Cluster Access : 3 Months
  • Include Both Text to Speech & Speech to Text


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HadoopExam : You can deposit INR money in this bank account as well


 Indian credit and Debit Card(PayuMoney) 


Learning Section-1: Course Curriculum & Training Videos



  • Spark vs Map Reduce
  • MapReduce as an Algorithm
  • Why Hadoop
  • Basics of HDFS
  • Distributed System
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  • About Hadoop YARN
  • Iterative Algorithms
  • Spark Architecture Block Diagram
  • What is RDD, you should still use it or not?
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  • Cluster: Group of Computer Server Nodes
  • Spark Application Components
    • Driver
    • Executors
    • Cluster Manager
  • SparkSession Object
  • Spark Transformation
    • Narrow Transformation
    • Wide Transformation
    • Lazy Evaluaton
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  • DataFrame Overview
  • DaraFrame v/s DataSet
  • Sample API for DataFrame
  • Language Independent Catalyst Optimizer
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  • What is new about SparkSQL
  • What are the main Goals of SparkSQL
  • Start of DataSet/DataFrame API
  • UDF Overview
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  • What is Catalyst Optimizer
  • Concept of Tree and Rules
  • Various Phases of Catalyst Optimizer
    • Analysis
    • Logical Optimization
    • Physical Optimization
    • Code Generation
  • Scala Features and Concepts
    • Predicate Pushdown
    • Constant Folding
    • Physical Operator
    • Project Pruning
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  • Purpose of Project Tungsten
  • Binary Processing
  • Cache Aware Computation
  • Code Generation
  • Custom Memory Management
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  • DataFrame & DataFrame API
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  • DataFrame & DataFrame API & FAQ
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  • DataFrame Overview
  • DaraFrame v/s DataSet
  • Sample API for DataFrame
  • Language Independent Catalyst Optimizer
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  • Implicit Objects
  • Encoders (Special ser-de for SparkSQL)
  • Why Encoders are fast
  • Creating custom Encoders
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  • DataFrame Overview
  • DaraFrame v/s DataSet
  • Sample API for DataFrame
  • Language Independent Catalyst Optimizer
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  • Dataset operation variants
  • Dataset and compile time check
  • Dataset transient values
  • Converting DataFrame to Dataset
  • Dataset Using Case classes
  • Dataset using Programmatic Schema
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  •  Dataset API in three different formats
  •  Go through Explain Plans
  •  Dataset methods
  •  Work with DataFrames
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  • SparkSQL StructType and StructField
  • Inferring Schema
  • Printing Schema in various ways
  • Nested StructType
  • Row object and accessing fields
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  • DataFrame Overview
  • DaraFrame v/s DataSet
  • Sample API for DataFrame
  • Language Independent Catalyst Optimizer
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  • RowObject and RowSchema
  • RowEncoder
  • DataFrameReader Interface
  • DataFrameWriter Interface
  • Schema inference and compression
  • Dataset using Programmatic Schema
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  • DataFrame Overview
  • DaraFrame v/s DataSet
  • Sample API for DataFrame
  • Language Independent Catalyst Optimizer
Download PDF and Slide

Download Source Code


  • DataFrame Overview
  • DaraFrame v/s DataSet
  • Sample API for DataFrame
  • Language Independent Catalyst Optimizer
Download PDF and Slide

Download Source Code


  • Dataset Caching
  • Dataset Un-persisting
  • Dataset Eager checkpoint
  • Dataset Non-Eager checkpoint
  • Dataset Lineage truncation
  • Dataset Performance Improvements
  • DataFrame Caching
  • DataFrame Un-persist
  • Check the UI for storage
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  • DataFrame Overview
  • DaraFrame v/s DataSet
  • Sample API for DataFrame
  • Language Independent Catalyst Optimizer
Download PDF and Slide

Download Source Code


  • Broadcast joins
  • Dataset joins
  • Dataset Joins and Hints
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  • GroupBy operations on Datasets
  • Different types of aggregate functions
  • Dataset Union function
  • Grouping Sets example
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  • Rollup operations
  • Pivot Operations
  • Cube operations
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  • Standard available functions
  • User defined functions (UDF)
  • Window Aggregate Function
  • Inline and Explicitly creating UDF
  • Understand UDF and Aggregate UDF functions
  • Define and Register UDF Functions
  • Define Aggregate UDF functions
  • Use custom created UDF Functions
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  • Understanding and Hands on With Rank functions
  • Creating Windows Spec
  • Calculating Cumulative Distribution Values using CDF
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  • Understanding of Row number functions
  • Understanding of Lead-Lag functions
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Practice Exam
  Sample Paper FAQ
 
Practice Paper-4  Practice Paper-4
Final Certification Exam (You have to Pass all below 2 Exam to Get Certified)
  • Pass these Certification exam
Get your certificate (You can share your certificate PDF Link Directly with your Employer) and also you can add same link to your LinkedIn Profile. We also, add your linkedIn profile link to certificate (If you want).
 
Final Exam-1  Final Exam-2

Interview Questions & Answer (Online eBook)
  • Prepare for Interview
            Use these Interview Questions and Answer to Prepare for your Interviews.
Online eBook
Interview Question & Answer (Online Audio Book)
  • Prepare for Interview
            Use these Interview Questions and Answer to Prepare for your Interviews while Traveling, Walking, in Gym (User Earphones).

Online Audio Book
Final Outcome (Once you pass Certification Exam)

QuickTechie Certified Apache Spark (in Scala) Developer
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