Curriculum


• What is Scala
• Why Scala for Spark
• Scala in other Frameworks
• Scala REPL
• Basic Scala Operations
• Variable Types in Scala
• Control Structures in Scala
• Loop, Functions and Procedures
• Collections in Scala
• Array Buffer, Map, Tuples, Lists

• Functional Programming
• Higher Order Functions
• Anonymous Functions
• Class in Scala
• Getters and Setters
• Custom Getters and Setters
• Constructors in Scala
• Singletons
• Extending a Class using Method Overriding

• Introduction to Spark
• How Spark overcomes the drawbacks of MapReduce
• Concept of In Memory MapReduce
• Interactive operations on MapReduce
• Understanding Spark Stack
• HDFS Revision and Spark Hadoop YARN
• Overview of Spark and Why it is better than Hadoop
• Deployment of Spark without Hadoop
• Cloudera distribution and Spark history server
[curriculum_content question="Basics of Spark"]
• Spark Installation guide
• Spark configuration and memory management
• Driver Memory Versus Executor Memory
• Working with Spark Shell
• Resilient distributed datasets (RDD)
• Functional programming in Spark and Understanding Architecture of Spark

• Challenges in Existing Computing Methods
• Probable Solution and How RDD Solves the Problem
• What is RDD, It’s Operations, Transformations & Actions Data Loading and Saving Through RDDs
• Key-Value Pair RDDs
• Other Pair RDDs and Two Pair RDDs
• RDD Lineage
• RDD Persistence
• Using RDD Concepts Write a Wordcount Program
• Concept of RDD Partitioning and How It Helps Achieve Parallelization
• Passing Functions to Spark

• Creating a Spark application using Scala or Java
• Deploying a Spark application
• Scala built application
• Creating application using SBT
• Deploying application using Maven
• Web user interface of Spark application
• A real-world example of Spark and configuring of Spark

• Concept of Spark parallel processing
• Overview of Spark partitions
• File Based partitioning of RDDs
• Concept of HDFS and data locality
• Technique of parallel operations
• Comparing coalesce and Repartition and RDD actions

• Why Machine Learning
• What is Machine Learning
• Applications of Machine Learning
• Face Detection: USE CASE
• Machine Learning Techniques
• Introduction to MLlib
• Features of MLlib and MLlib Tools
• Various ML algorithms supported by MLlib

• Why Kafka, what is Kafka and Kafka architecture
• Kafka workflow and Configuring Kafka cluster
• Basic operations and Kafka monitoring tools
• Integrating Apache Flume and Apache Kafka

• Why Streaming is Necessary
• What is Spark Streaming
• Spark Streaming Features
• Spark Streaming Workflow
• Streaming Context and DStreams
• Transformations on DStreams
• Describe Windowed Operators and Why it is Useful
• Important Windowed Operators
• Slice, Window and ReduceByWindow Operators
• Stateful Operators

• Learning about accumulators
• The common performance issues and troubleshooting the performance problems

• Need for Spark SQL
• What is Spark SQL
• Spark SQL Architecture
• SQL Context in Spark SQL
• User Defined Functions
• Data Frames and Datasets
• Interoperating with RDDs
• JSON and Parquet File Formats
• Loading Data through Different Sources

• Concept of Scheduling and Partitioning in Spark
• Hash partition and range partition
• Scheduling applications
• Static partitioning and dynamic sharing
• Concept of Fair scheduling
• Map partition with index and Zip
• High Availability
• Single-node Recovery with Local File System and High Order Functions

Training Options

Self-Paced Learning

17,999.00 12,999.00
  • Learn at your convenient time and pace
  • Gain on-the-job kind of learning experience through high quality Videos built by industry experts.
  • Interactive Sessions as good as Classroom experience.
  • Learn end to end course content that is similar to instructor led virtual/classroom training.
  • Cost Effective as well as Convenient.

Blended Learning

  • Everything in Self-Paced Plus
  • Learn in an instructor-led online training class

Corporate Training

Customized to your team’s needs

  • Customized learning delivery model (self-paced and/or instructor-led)
  • Flexible pricing options
  • Enterprise grade learning management system (LMS)
  • Enterprise dashboards for individuals and teams
  • 24×7 learner assistance and support

Course Description

Apache Spark and Scala Certification

This Spark certification training helps you master the essential skills of the Apache Spark open-source framework and Scala programming language, including Spark Streaming, Spark SQL, machine learning programming, GraphX programming, and Shell Scripting Spark. You will also understand the role of Spark in overcoming the limitations of MapReduce.  You will get an in-depth knowledge of these concepts and will be able to work on related demos. The course creates an understanding about how the industry uses Spark in Real-Time Projects.

Benefits

The average salary for “apache spark developer” ranges from approximately $93,486 per year for Developer to $128,313 per year for Data Engineer. – Indeed.com

Wells Fargo, Microsoft, Capital One, Apple, JPMorgan Chase & many other MNC’s worldwide use Apache Spark across industries.

Global Spark market revenue will grow to $4.2 billion by 2022 with a CAGR of 67% Marketanalysis.com

What you will Learn in this Course?

  • Apache Spark and Scala programming
  • Difference between Apache Spark and Hadoop
  • Scala and its programming implementation
  • Implementing Spark on a cluster
  • Writing Spark applications using Python, Java and Scala
  • RDD and its operation, along with the implementation of Spark algorithms
  • Defining and explaining Spark streaming
  • Scala classes concept and executing pattern matching
  • Scala–Java interoperability and other Scala operations

Key Features

Self-Paced Online Video

• Self-paced Videos: 24 Hrs
• Exercises & Project Work: 56 Hrs
• A 360-degree learning approach that you can adapt to your learning style

1 Year Unlimited Access

You get 1 Year unlimited access to LMS where presentations, quizzes, installation guide & class recordings are there.

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket-based tracking system.

Certification

Successfully complete your course project and Tecklearn will provide you Spark and Scala Certification.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various Apache Spark Concepts.

Learn at your Convenience

• Certification and Job Assistance
• Flexible Schedule

Reviews

V

Vaibhav Dixit

Apache Spark and Scala Certification

Tecklearn has redefined the e-learning service with the help of technology. They have excellent faculty and support team that has given a real class room learning experience. Anybody can upgrade their skills at their convenience! Tecklearn has expertise in Big Data Analytics and they are providing opportunity to acquire these skills in a short time!... Tecklearn has redefined the e-learning service with the help of technology. They have excellent faculty and support team that has given a real class room learning experience. Anybody can upgrade their skills at their convenience! Tecklearn has expertise in Big Data Analytics and they are providing opportunity to acquire these skills in a short time! Read More
P

Paresha Dudhedia

Apache Spark and Scala Certification

I Underwent training for Apache spark and Scala certification and I am impressed by the quality of the training and concepts being covered in the course.The trainer was able to explain every concepts in detail. Definitely worth joining the course for all big data enthusiasts.... I Underwent training for Apache spark and Scala certification and I am impressed by the quality of the training and concepts being covered in the course.The trainer was able to explain every concepts in detail. Definitely worth joining the course for all big data enthusiasts. Read More
G

Girish Modi

Apache Spark and Scala Certification

Good Quality training with Real time experience trainers and hands on experience training.... Good Quality training with Real time experience trainers and hands on experience training. Read More
G

Girish Deshpande

Apache Spark and Scala Certification

Great trainer, Great training material, and everything worked well. The training sessions were impressive.... Great trainer, Great training material, and everything worked well. The training sessions were impressive. Read More
A

Avinash Rathod

Apache Spark and Scala Certification

It was a very good training and covered every topic in detail. Thanks, Tecklearn!... It was a very good training and covered every topic in detail. Thanks, Tecklearn! Read More

Certification

This course is designed for clearing the Apache Spark component of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam. The complete course is created by industry experts for professionals to get top jobs in the best organizations. The entire training includes real-world projects and case studies that are highly valuable.

Tecklearn’s Spark and Scala Certification will be awarded upon the completion of the course and the project work.

Projects

  • To put your knowledge on into action, you will be required to work on various industry-based projects that discuss significant real-time use cases.
  • These projects are completely in-line with the modules mentioned in the curriculum and help you to clear the certification exam.

FAQ Content


You will never miss a lecture at Tecklearn. Tecklearn provides recordings of each class so you can review them as needed before the next session.

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover, the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

All the instructors at Tecklearn are practitioners from the Industry with minimum 10-15 years of relevant IT experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

Learning pedagogy has evolved with the advent of technology. Online training adds convenience and quality to the training module. With our 24x7 support system, our online learners will have someone to help them all the time even after the class ends. This is one of the driving factors to make sure that people achieve their end learning objective. We also provide life-time access of our updated course material to all our learners.

There are no such prerequisites for our Spark and Scala Certification Training. However, prior knowledge of Java Programming and SQL will be helpful but is not at all mandatory.

As you know, nowadays, many organisations are showing interest in Big Data and are adopting Spark as a part of solution strategy, the demand of jobs in Big Data and Spark is rising rapidly. So, it is high time to pursue your career in the field of Big Data & Analytics with our Spark and Scala Certification Training Course.
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  • 17,999.00 12,999.00
  • 365 Days
  • Course Certificate
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Course Curriculum

Modules
Spark and Scala Module -1 00:00:00
Spark and Scala Module -2 00:00:00
Spark and Scala Module -3 00:00:00
Spark and Scala Module -4 00:00:00
Spark and Scala Module -5 00:00:00
Spark and Scala Module -6 00:00:00
Spark and Scala Module -7 00:00:00
Spark and Scala Module -8 00:00:00
Spark and Scala Module -9 00:00:00
Spark and Scala Module -10 00:00:00
Spark and Scala Module -11 00:00:00
Spark and Scala Module -12 00:00:00

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