Apache Spark and Scala Certification Training

BY
Simplilearn

Enrol to become proficient in the primary concepts and principles of the programming languages Spark and Scala.

Mode

Online

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

The Apache Spark and Scala online training is designed to get students comfortable with the industry-standard platforms that are Apache Spark and Scala. This  Apache Spark and Scala Certification Training course by Edureka takes the students through a variety of Spark concepts such as Spark Streaming, machine learning programming, GraphX programming, Spark SQL, and Shell Scripting in Spark. 

Expand your skill-set of the Big Data Hadoop frameworks with the Apache Spark and Scala certification training course, which is developed to help candidates attain expertise in crucial Apache Spark skills, providing the candidates with a competitive edge for a career in Big Data.

Moreover, the Apache Spark and Scala training course also help the students in building proficiency in the Scala programming language and Scala topics like data types, basic literals, operators, functions, objects, classes, lists, maps, and data structures.

In addition, the Apache Spark and Scala course will make the candidates ready for any Big Data-based industry role that requires proficiency in Spark and Scala.  Apache Spark and Scala Certification Training course by Edureka also helps the students prepare for the CCA175 Spark and Hadoop Developer exam to become a Spark Developer.

The highlights

  • Online classroom learning
  • Online self-paced learning
  • Certificate of completion from Simplilearn
  • Lifelong Certificate validity

Program offerings

  • Scala programming language
  • Spark installation process
  • Graphx programming
  • Free practice test
  • 24*7 learning support

Course and certificate fees

certificate availability

Yes

certificate providing authority

Simplilearn

Who it is for

The Apache Spark and Scala Certification is a perfect fit for professionals such as –

  • IT developers and testers: Developers interested in Scala programming
  • Professionals working in the Analytics domain who wish to upskill
  • Professionals currently working as Data scientists 
  • Students currently pursuing their UG/PG in a related field 

Eligibility criteria

Skills

There are no prerequisites to join the course. However, candidates who wish to join Apache Spark and Scala should have a fundamental knowledge of any programming language, database, SQL, and query language for databases. In addition, they should have a working knowledge of Linux- or Unix-based systems.

What you will learn

Knowledge of apache spark

Candidates will also gain proficiency in the Scala programming language. In the Apache Spark and Scala course, candidates will learn the following skillset:

  • Gain proficiency in the Scala programming language
  • Learn how to install Spark on their system of choice
  • Tune the settings and preferences in Spark to optimize workflow
  • know the various streaming features of Spark like Integration, Combination, Load balancing, resource usage, and recovery from stragglers and failures.
  • Gain knowledge about the machine learning package recently added to the Spark library
  • Use Spark ML is to provide high-level APIs and create machine learning pipelines
  • Attain a working knowledge of Spark SQL
  • Understand the Spark SQL architecture, handle various data formats, implement Data Frame operations, and process DataFrames.
  • Learn about the resilient Distributed Dataset (RDDs) and its applications
  • Learn how to create RDDs, RDD operations, and RDD extensions

The syllabus

Course Preview

  • Course overview
  • Objectives

Introduction to Spark

  • Limitations of MapReduce in Hadoop Objectives
  • Batch vs. Real-time analytics
  • Application of stream processing
  • How to install Spark
  • Spark vs. Hadoop Eco-system

Introduction to Programming in Scala

  • Features of Scala
  • Basic data types and literals used
  • List the operators and methods used in Scala
  • Concepts of Scala

Using RDD for Creating Applications in Spark

  • Features of RDDs
  • How to create RDDs
  • RDD operations and methods
  • How to run a Spark project with SBT
  • Explain RDD functions and describe how to write different codes in Scala

Running SQL queries Using SparkSQL

  • Explain the importance and features of SparkSQL
  • Describe methods to convert RDDs to DataFrames
  • Explain concepts of SparkSQL
  • Describe the concept of hive integration

Spark Streaming

  • Explain a concepts of Spark Streaming
  • Describe basic and advanced sources
  • Explain how stateful operations work
  • Explain window and join operations

Spark ML Programming

  • Explain the use cases and techniques of Machine Learning (ML)
  • Describe the key concepts of Spark ML
  • Explain the concept of an ML Dataset, and ML algorithm, model selection via cross validation

Spark GraphX Programming

  • Explain the key concepts of Spark GraphX programming
  • Limitations of the Graph Parallel system
  • Describe the operations with a graph
  • Graph system optimizations

Admission details

You can enrol for the  Apache Spark and Scala Certification Training course by Edureka on the edureka website by making online payment using any of the following options: 

  • Visa Credit or Debit Card
  • MasterCard
  • American Express
  • Diner’s Club
  • PayPal

Once payment is received, you will automatically receive a payment receipt and access information via email.


Filling the form

Follow the steps mentioned below to enroll for Apache Spark and Scala Certification Training

Step 1 - Visit https://www.simplilearn.com/big-data-and-analytics/apache-spark-scala-certification-training

Step 2 - Click Enroll now option mentioned top on the right side. You will be redirected to a new page

Step 3 - If applicants have a coupon then they need to apply this or click on the Proceed button. 

Step 4 -  Provide necessary details i.e name, email, and contact number, and click on proceed

Step 5 - Pay the fee and save the receipt of the transaction for future reference.

Evaluation process

To become a certified Spark Developer, you need to pass the CCA175 Spark and Hadoop Developer exam. A total of 8-17 hands-on performance tasks will be assigned to the candidates. Candidates must score a minimum of 70% marks to pass the exam successfully.

In case a candidate fails the exam, they can reattempt the exam any number of times. However, once candidates clear the exam successfully, they are not allowed to retake it.

How it helps

With the Apache Spark market about to reach a market share of a whopping 4.2 Billion USD, now is an opportune time for interested candidates to train themselves in the language of Spark and Scala. With a growth rate of a respectable 67%, professionals will find the market strewn with lucrative job opportunities in sectors like manufacturing, retail, and healthcare.

Once they complete the Apache Spark and Scala Certification course, they can work as a Big Data Architect, Big Data Engineer, or Big Data Developer in varied sectors like IT, finance, healthcare, and many more. Besides, many companies like Amazon, Accenture, Visa, and more are always on the lookout to hire certified Big Data professionals.

FAQs

What is the validity of the Certification?

The Apache Spark and Scala Certification has lifelong validity.

How many marks do I need to pass the CCA175 exam?

In the CCA175 exam, candidates need to perform 8-12 hands-on tasks successfully. A candidate must score minimum 70% to pass the exam.

What does the CCA175 Hadoop certification exam cost?

The CCA175 Spark and Hadoop Developer exam costs 295 USD.

How many attempts can I take to pass the CCA175 exam?

Candidates can take the exam any number of times as they want until you pass. However, retakes are not allowed after the successful completion of a test.

How can I become a Spark Developer?

To become a certified Spark Developer, you need to pass the CCA175 Spark and Hadoop Developer exam and be proficient in the cleaning, analysis, and transformation of Spark. 

Which companies hires a certified Spark Developer?

A certified Spark Developer is usually hired by companies such as Amazon, Accenture, Visa, Hewlett Packard Enterprises, Deloitte, etc.

Are there any prerequisites for the course?

To apply for the Apache Spark and Scala certification training course, interested candidates must have a fundamental knowledge of any programming language like Python, Java, etc. They should also have a basic understanding of SQL, database, and query languages for database. In addition, they should have a working knowledge of Linux and Unix-based systems.

Will I receive practice tests for the certification exam?

Yes, you will receive one practise test for the CCA175 Spark and Hadoop certification exam as part of the course curriculum.

Trending Courses

Popular Courses

Popular Platforms

Learn more about the Courses

Download the Careers360 App on your Android phone

Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile

Careers360 App
150M+ Students
30,000+ Colleges
500+ Exams
1500+ E-books