Best Scala Spark course in Uttarakhand | Apache Spark Certification

Apache Spark and Scala Training



Apache Spark and Scala is an open-source and robust framework, Apache Spark and Scala provides fast processing of Big Data, helping analysts provide result-oriented analytical results in an efficient manner. Apache Spark has built-in modules for streaming, takes lesser disk space and when integrated with Scala, offers high-end analytical power to the user to process Big Data. Here at Brillica Services we provide Project based Best Scala Spark course in Uttarakhand & Dehradun with Scala Apache Spark certification.

Course Highlights

  • Instructor-led Classroom and Online
  • Training modes
  • Best-in-Class Training Curriculum
  • Beginner to Expert Level Training
  • Hands-on Programming Practice
  • Unlimited Access - Online or Offline Flexible Guaranteed to Run Schedules
  • Self-Paced Learning

Pre-Requisite

Aspirants opting for this course should have basic knowledge of Object Oriented Programming and functional programming.

Course Content

  • Introduction to Spark
  • Introduction to Programming in Scala
  • Using RDD for Creating Applications in Spark
  • Running SQL queries Using SparkSQL
  • Spark Streaming
  • Spark ML Programming
  • Spark GraphX Programming

Course Description

Apache Spark is an open source framework for running large-scale data analytics applications across clustered computers. It can handle both batch and real-time analytics and data processing workloads. On the other hand, Scala is a programming language. It is compiled and run on Java Virtual Machine (JVM). The main difference between Spark and Scala is that the Apache Spark is a cluster computing framework designed for fast Hadoop computation while the Scala is a general-purpose programming language that supports functional and object-oriented programming.

Brillica services is a prominent leader in offering you an opportunity to transform your theoretical knowledge on Apache Spark and Scala Training , into the much preferred and job-oriented practical skill.

through multiple projects included in Apache Spark and Scala Training and certification course. Our diverse training delivery modes of Apache Spark and Scala Training course, offered in custom schedules, help corporate and individual learners find a best-fit learning solution mapping their career and training goals.

Course Objectives

Apache Scala Spark course in Uttarakhand & Dehradun at Brillica Services You to :

Apache Spark and Scala Training

Scala programing and its use in data analysis

Write Spark applications

4-RDD Module understanding

Difference between Hadoop and Apache Spark and their relative use

Pattern matching with Scala

Scala Classes concepts

Spark streaming

Spark RDD and Scala Algorithms

Apache Spark and Scala Training

Course Name Duration
Apache Spark and Scala Training 60 hours

Upcoming Training Schedule

Month Weekdays Weekends Mode
December-2021 13/12/21 and 20/12/21
2 hours(Monday-Thursday) per day
18/12/21 and 19/12/21
3 hours(Saturday-Sunday) per day
Online/Offline
January-2022 03/01/22 and 24/01/22
2 hours(Monday-Thursday) per day
15/01/22 and 16/01/22
3 hours(Saturday-Sunday) per day
Feburary-2021 07/02/22 and 14/02/22
2 hours(Monday-Thursday) per day
19/02/22 and 20/02/22
3 hours(Saturday-Sunday) per day
March-2022 07/03/22 and 21/03/22
2 hours(Monday-Thursday) per day
27/03/22 and 28/03/22
3 hours(Saturday-Sunday) per day
April-2022 04/04/22 and 18/04/22
2 hours(Monday-Thursday) per day
24/04/22 and 25/04/22
3 hours(Saturday-Sunday) per day

FAQs Apache Spark and Scala Training

Ans: Apache Spark is an open source framework for running large-scale data analytics applications across clustered computers. It can handle both batch and real-time analytics and data processing workloads. On the other hand, Scala is a programming language. It is compiled and run on Java Virtual Machine (JVM).

Ans. Scala is a mixture of both object oriented and functional programming. Java is a general purpose object oriented language. Scala is less readable due to nested code.

Ans. Scala is a high-level general purpose language, and can be used for a wide range of applications, from machine-learning to web apps. Scala's Java compatibility makes it well-suited to Android development, and it's compatible with existing Java program.

Ans. Apache Spark alone is a very powerful tool. It is in high demand in the job market. If integrated with other tools of Big Data, it makes a strong portfolio.

Ans.Apache Spark is an open-source, distributed processing system used for big data workloads. It utilizes in-memory caching, and optimized query execution for fast analytic queries against data of any size.

Ans. Apache Spark is written in Scala. Hence, many if not most data engineers adopting Spark are also adopting Scala, while Python and R remain popular with data scientists. Fortunately, you don't need to master Scala to use Spark effectively.

Ans. Scala which stands for “scalable language” is an open source, multi-paradigm, high-level programming language with a robust static type system. Its type system supports parameterization and abstraction. Scala is hailed for integrating the functional and object-oriented features.

Ans. Learning Spark is not difficult if you have a basic understanding of Python or any programming language, as Spark provides APIs in Java, Python, and Scala. You can take up this Spark Training to learn Spark from industry experts.

Ans.The machine learning library has only fewer ML algorithms but they are ideal for big data processing. Scala lacks good visualization and local data transformations. Scala is definitely the best pick for Spark Streaming feature because Python Spark streaming support is not advanced and mature like Scala.

Ans. Scala is worth learning due to the following reasons
: Supports object-oriented programming and functional programming paradigms.
This gives you a chance to learn two paradigms at a go.
Interoperability with Java: Scala can run on Java Virtual Machine (JVM) and interoperates nicely with Java code.


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