Pyspark Course Overview

This course gives you an overview of Spark and how to integrate it with Python using the PySpark interface. The PySpark training in Hyderabad will show you how to build and implement data-intensive applications after you know about machine learning, leveraging Spark RDD, Spark SQL, Spark MLlib, Spark Streaming, HDFS, Flume, Spark GraphX, and Kafka.

Skills Covered

  • Spark 20 architecture
  • Spark SQL
  • Spark MILib
  • Sqoop
  • Kafka
  • Flume
  • Spark Streaming
  • Spark DataFrames
  • Schemas for RDD lazy executions and transformations
  • Aggregate transform filter and sort data with DataFrames

Training Options

Self-Paced Learning

₹ 945

  • num_of_days days of access to high-quality, self-paced learning content designed by industry experts

Pyspark Course Curriculum


The global market for Big Data analytics is booming, opening up exciting opportunities for IT professionals. Professionals roles that are ideal for this PySpark training in Hyderabad include freshers willing to start a career in Big Data, developers and architects, BI/ETL/DW professionals, mainframe professionals, Big Data architects, engineers, developers, and data scientists and analytics professionals.
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There are no prerequisites for this PySpark training in Hyderabad. However, prior knowledge of Python Programming and SQL will be beneficial but not mandatory.
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Course Content

  • PySpark Training

    • Lesson 1 A Brief Primer on PySpark

      • 1.1 A Brief Primer on PySpark
      • 1.2 Brief Introduction to Spark
      • 1.3 Apache Spark Stack
      • 1.4 Spark Execution Process
      • 1.05 Newest Capabilities of PySpark
      • 1.6 Cloning GitHub Repository
    • Lesson 2 Resilient Distributed Datasets

      • 2.1 Resilient Distributed Datasets
      • 2.2 Creating RDDs
      • 2.3 Schema of an RDD
      • 2.4 Understanding Lazy Execution
      • 2.5 Introducing Transformations – .map(…)
      • 2.6 Introducing Transformations – .filter(…)
      • 2.7 Introducing Transformations – .flatMap(…)
      • 2.8 Introducing Transformations – .distinct(…)
      • 2.9 Introducing Transformations – .sample(…)
      • 2.10 Introducing Transformations – .join(…)
      • 2.11 Introducing Transformations – .repartition(…)
    • Lesson 3 Resilient Distributed Datasets and Actions

      • 3.1 Resilient Distributed Datasets and Actions
      • 3.2 Introducing Actions – .collect(…)
      • 3.3 Introducing Actions – .reduce(…) and .reduceByKey(…)
      • 3.4 Introducing Actions – .count()
      • 3.5 Introducing Actions – .foreach(…)
      • 3.6 Introducing Actions – .aggregate(…) and .aggregateByKey(…)
      • 3.7 Introducing Actions – .coalesce(…)
      • 3.8 Introducing Actions – .combineByKey(…)
      • 3.9 Introducing Actions – .histogram(…)
      • 3.10 Introducing Actions – .sortBy(…)
      • 3.11 Introducing Actions – Saving Data
      • 3.12 Introducing Actions – Descriptive Statistics
    • Lesson 4 DataFrames and Transformations

      • 4.1 DataFrames and Transformations
      • 4.2 Creating DataFrames
      • 4.3 Specifying Schema of a DataFrame
      • 4.4 Interacting with DataFrames
      • 4.5 The .agg(…) Transformation
      • 4.6 The .sql(…) Transformation
      • 4.7 Creating Temporary Tables
      • 4.8 Joining Two DataFrames
      • 4.9 Performing Statistical Transformations
      • 4.10 The .distinct(…) Transformation
    • Lesson 5 Data Processing with Spark DataFrames

      • 5.1 Data Processing with Spark DataFrames
      • 5.2 Filtering Data
      • 5.3 Aggregating Data
      • 5.4 Selecting Data
      • 5.5 Transforming Data
      • 5.6 Presenting Data
      • 5.7 Sorting DataFrames
      • 5.8 Saving DataFrames
      • 5.9 Pitfalls of UDFs
      • 5.10 Repartitioning Data
  • Free Course
  • Python for Data Science

    • Lesson 01: Introduction

      • Python for Data Science

Pyspark Exam & Certification

PySpark Certificate in Hyderabad
  • Who provides the certification and how long is it valid for?

    Upon successful completion of the PySpark certification training in Hyderabad, Simplilearn will provide you with an industry-recognized course completion certificate which has lifelong validity.

  • How do I become a PySpark developer?

    This PySpark course gives you an overview of Apache Spark and how to integrate it with Python using the PySpark interface. The training will show you how to build and implement data-intensive applications after you know about machine learning, leveraging Spark RDD, Spark SQL, Spark MLlib, Spark Streaming, HDFS, Flume, Spark GraphX, and Kafka. It helps you gain the skills required to become a PySpark developer.

  • What do I need to do to unlock my Simplilearn certificate?

    To obtain the PySpark course certification, you must complete the online self-learning training.

Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Pyspark FAQs

  • What is PySpark?

    Apache Spark is an open-source real-time cluster processing framework which is used in streaming analytics systems. Python is an open-source programming language that has a plethora of libraries that support diverse applications. PySpark is an integration of Python and Spark used for Big Data analytics. The Python API for Spark enables programmers to harness the simplicity of Python and the power of Apache Spark.

  • How does a beginner learn PySpark?

    PySpark is Python's library to use Spark which handles the complexities of multiprocessing. Simplilearn’s PySpark training course will help you learn everything from scratch and gives you an overview of the Spark stack and lets you know how to leverage the functionality of Python as you deploy it in the Spark ecosystem.

  • What is RDD in PySpark?

    RDD is an abbreviation for Resilient Distributed Dataset, the primary building block of Apache Spark. RDD is a fundamental data structure of Apache Spark, which is a constant distributed collection of objects. Each dataset in an RDD is divided into logical partitions that may be computed on different nodes of the cluster.

  • Is PySpark a programming language?

    PySpark is not a programming language. It is a Python API for Apache Spark deployments that Python developers can leverage to create in-memory processing applications. 

  • PySpark vs Scala

    Python and Scala both are the languages used to analyze data using Spark. PySpark is a Python API for Spark used to leverage the simplicity of Python and the power of Apache Spark. Scala is ahead of Python in terms of performance, ease of use, parallelism, and type-safety. On the other hand, Python is more user friendly, has easy syntax, and standard libraries.

  • Who are the instructors and how are they selected?

    All of our highly qualified PySpark trainers are Big Data industry experts with years of relevant industry experience working with front-end development technology. 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.

  • How do I enroll in this PySpark certification training?

    You can enroll in this PySpark certification training on our website and make an 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.

  • How can I learn more about this PySpark course?

    Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance.

  • Can I cancel my enrollment? Will I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our refund policy.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.