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PySpark Training Online (Python with Spark)

PySpark has become a very popular language and many people have learnt it to become a web developer, game developer, etc. Now Spark stack is also being used to enhance the functionality of Python applications. The combination of Python and Spark is known as PySpark. Many people want to do PySpark Training Online and they can contact FolksIT to get the training. Our expert instructors will explain to you all the concepts of the course and you can get the job of Python PySpark Developer, Big Data Trainer, and many more.

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PySpark Training Online Overview

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PySpark Training Online will let you know about various concepts related to Python language and Spark. You will be able to integrate Python and Apache Spark through this course. You will able to make data intensive application after the completion of PySpark course. This is a PySpark course Online for beginners as well as experienced programmers. Our expert trainers will teach you the course with different PySpark examples.

PySpark Course Online Key features

  • The course will start with introducing what is PySpark, examples
  • Learn the concepts including python work with spark .
  • PySpark interview questions with answers will be provided
  • PySpark tutorial pdf will be available for understanding the concepts in depth
  • You will learn to install PySpark and use it on your system.
  • Mock tests will be conducted which will be similar to the real exam
  • Mock interviews will be conducted in which technical questions will be asked
  • You will become proficient and will be able to answer all the questions in the real interview

Who should take Python with Spark Course Online?

Freshers who want to start their career as a Big Data developer can join the course. The course is also ideal for IT professionals. BI and ETL professionals can also do this course.

Course curriculum
    • What is Big Data?
    • Big Data Customer Scenarios
    • Use Uber Use Case to resolve the limitations of Existing Data Analytics Architecture
    • How Hadoop Solves the Big Data Problem?
    • What is Hadoop?
    • Hadoop’s Key Characteristics
    • Hadoop Ecosystem and HDFS
    • Hadoop Core Components
    • Rack Awareness and Block Replication
    • YARN and its Advantage
    • Hadoop Cluster and its Architecture
    • Hadoop: Different Cluster Modes
    • Perform Big Data Analytics with the help of Batch and Real-Time Processing
    • Why Spark is needed?
    • What is Spark?
    • How Spark Differs from its Competitors?
    • Overview of Python
    • Different Applications where Python is used
    • Values, Types, Variables
    • Operands and Expressions
    • Conditional Statements
    • Using different types of Loops
    • Command Line Arguments
    • Writing to the Screen
    • Python files I/O Functions
    • Working with Numbers
    • Strings and related operations
    • Tuples and related operations
    • Lists and related operations
    • Dictionaries and related operations
    • Sets and related operations
    • How to use Functions?
    • Types of Function Parameters
    • Concept of Global Variables
    • Variable Scope and Returning Values
    • What are Lambda Functions?
    • Object-Oriented Concepts
    • Using Standard Libraries
    • Modules Used in Python
    • The Import Statements
    • Module Search Path
    • Package Installation Ways
    • Spark Components & its Architecture
    • Spark Deployment Modes
    • Introduction to PySpark Shell
    • Submitting PySpark Job
    • Spark Web UI
    • Data Ingestion using Sqoop
    • Concept of RDD (Resilient Distributed Dataset) and its Transformations, Operations, and Actions
    • Data Loading and Saving Through RDDs
    • Key-Value Pair RDDs
    • Other Pair RDDs, Two Pair RDDs
    • RDD Lineage
    • RDD Persistence
    • WordCount Program Using RDD Concepts
    • RDD Partitioning and Achieve Parallelization
    • Passing Functions to Spark
    • What is Spark SQL?
    • Spark SQL Architecture
    • SQL Context in Spark SQL
    • Schema RDDs
    • User Defined Functions
    • Data Frames and Datasets
    • Interoperating with RDDs
    • JSON and Parquet File Formats
    • Loading Data through Different Sources
    • Spark-Hive Integration
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PySpark Training FAQ’s:
1.Why demo classes are conducted?

Demo classes are conducted to ensure that we will provide quality education.

2.What type of job opportunities will I get after the course?

After the completion of the course, you will get the jobs of Big Data developer, Python PySpark developer, Big Data trainer, and many more.

3.What will happen in the case that I miss a few classes?

A recorded video for all the missed Python with Spark classes will be provided to you so that you can cover up the concepts.

4.Is there any refund policy?

Yes there is a refund policy. If you will not like our demo classes, we will refund the registration fee.

5.For how much time job assistance will be provided?

Job assistance will be provided till the time you get a job.

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Live Instructor-led classes

We would like to create the best learning and interactive environment for our learners as part of their online learning experience.

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Expert & Certified Trainers

We have one of the best faculty, with our trainers having substantial real-time industry experience. And are proactive in providing you the best information.

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Flexible Schedule

Schedule your timings according to your convenience. No need to delay your daily work schedule.

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Real-time Scenarios

Our learners are provided with real-time industry scenarios and also Industry-specific scenarios for practice and mock tests.

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e-Learning Sessions

We provide our learners with online training videos and also have live training and practical sessions.

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24/7 Support

We provide round-the-clock assistance and we are yearning to solve your queries with help of our expert trainers.

Why FolksIT

Extreme high-quality interactive training

Cutting-edge curriculum with job-ready training methodologies aligned with industry requirements.

Situational help and work assistance

Top-notch experts bring in the best practices and assignments, with live availability.

Learn & Practice on real-world problems.

Practice on real-world scenarios and data sets with hands-on experience.

A classroom like learning experience

Ultimate learning experience. Engaging, interactive, and communicative.

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