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PySpark Online Training

(556 Ratings) 1685 Subscribers

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  • 45 hrs interactive session
  • Cloud Lab for practice
  • Virtual classroom
  • Resume & Interview preparation
  • 100% Placement Support

Career Opportunities

The average salary for the PySpark professionals starts from 95k USD to 100k USD per year based on the skillset and experience.
PySpark is growing as an increasingly popular technology in the current industries, and there are more than ~22k jobs available in the US and ~35K jobs available in India related to PySpark.
Some of the top companies like Amazon, Yahoo, Alibaba, eBay, Hitachi, Shopify, utilize PySpark platform for their business as it serves as the best tool to implement datasets for the entire organizational framework very easily.
The career benefits of the PySpark course reveal the booming popularity and adoption scale of Big Data tools like Spark. The Big Data analytics market is assumed to climb at a compound annual growth of 45.36% by 2025.


Section 1: Big Data Analytics introduction
  • Big Data overview
  • Characteristics of Apache Spark
  • Users and Use Cases of Apache Spark
  • Job Execution Flow and Spark Execution
  • Complete Picture of Apache Spark
  • Why Spark with Python
  • Apache spark Architecture
  • Big Data Analytics in industry
Section 2: Using Hadoop’s Core: HDFS and MapReduce
  • HDFS: What it is, and how it works
  • MapReduce: What it is, and how it works
  • How MapReduce distributes processing
  • HDFS commands
Section 3: SparkDatabox Cloud Lab
  • How to access SparkDatabox cloud lab?
  • Step by Step instruction to access cloud Big data Lab.
Section 4: Data analytics lifecycle
  • Data Discovery
  • Data Preparation
  • Data Model Planning
  • Data Model Building
  • Data Insights
Section 5: python 3.0 ( Crash Course )
  • Environment Setup
  • Decision Making
  • Loops and Number
  • Strings
  • Lists
  • Tuples
  • Dictionary
  • Date and Time
  • Regex
  • Functions
  • Modules
  • Files I/O
  • Exceptions
  • MultiThreading
  • Set
  • Lamda Function
Section 6: PySpark
  • Introduction to SparkContext
  • Environment Setup
  • Spark RDD
  • spark Caching
  • Common Transformations and Actions
  • Spark Functions
  • Key-Value Pairs
  • Aggregate Functions
  • Working with Aggregate Functions
  • Joins in Spark
  • Spark DataFrame
Section 7: Advanced Spark Programming
  • Spark Shared Variables
  • Custom Accumulator
  • Spark and Fault Tolerance
  • Broadcast variables
  • Numeric RDD Operations
  • Per-Partition Operations
Section 8: Running Spark jobs on Cluster
  • Spark Runtime Architecture
  • Spark Driver
  • Executors
  • Cluster Managers
  • Connecting Spark To Different File System and Perform ETL ,(Extration Transformation and Loading)
  • Connecting Spark To DataBases and Perform ETL (Extration Transformation and Loading)
  • Spark StorageLevel
  • Spark Serializers
  • Spark-Submit and Cluster Explanation
  • Performance Tuning
Section 9: PySpark Streaming at Scale
  • Introduction to Spark Streaming
  • PySpark Streaming with Apache Kafka
  • Real-world Practical use cases
  • Operations On Streaming Dataframes and Datasets
  • Window Operations
Section 10: Real-world project training
  • PySpark project environment setup
  • Real-world PySpark project
  • Project demonstration
  • Expert evaluation and feedback
Section 11: You made it!!
  • Spark Databox PySpark certification
  • Interview preparation
  • Mock interviews
  • Resume preparation
  • Knowledge sharing with industry experts
  • Counseling to guide you to a right path in PySpark development career

About PySpark Online Training course

In this PySpark online course, you will discover how to utilize Spark from Python. Spark is a tool for managing parallel computation with massive datasets, and it integrates excellently with Python. PySpark is the Python unit that performs the rapture happens. Spark Databox online training course is intended to equip you with the expertise and experiences that are needed to become a thriving Spark Developer using Python. During the PySpark Training, you will gain an in-depth understanding of Apache Spark and the Spark Ecosystem, which covers Spark RDD, Spark SQL, Spark MLlib, and Spark Streaming. You will also obtain extensive knowledge of Python Programming language, HDFS, Sqoop, Flume, Spark GraphX, and Messaging System.

Spark is an open-source query powerhouse for processing extensive datasets, and it integrates completely with the Python programming language. PySpark is the bridge that provides access to Spark using Python. This course commences with a summary of the Spark stack and will explain to you how to grasp the concept and functionality of Python as you execute it in the Spark ecosystem.

The course will provide you a more in-depth glimpse at Apache Spark architecture and how to establish a Python ecosystem for Spark. You will learn about multiple techniques for gathering data, Resilient Distributed Datasets, and compare them with DataFrames, along with describing how to interpret data from files and HDFS, and how to operate with the design model. Ultimately, the course will guide you on how to utilize SQL to communicate with DataFrames. Upon the completion of this PySpark course, you will understand how to process data with Spark DataFrames and control data compilation techniques by distributed data processing.

By the end of PySpark online training course, you will:   

Perceive an overall structure of Apache Spark and the Spark 2.0 design
Gain a broad knowledge of different tools that used for the Spark ecosystem such as Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming

Understand the model of RDD, inactive executions, and conversions, and discover how to modify the model of a DataFrame

Develop and communicate with Spark DataFrames adopting Spark SQL

Design and examine different APIs to run with Spark DataFrames

Acquire how to heap, convert, filter, and categorize data with DataFrames

The market demand for Big Data analytics is flourishing, initiating new openings for IT professionals. This course is ideal for:


BI/ETL/DW professionals

Mainframe professionals

Big Data architects, engineers, and developers

Data scientists 

Analytics professionals

Freshers wishing to build a career in Big Data

There are no specific prerequisites needed for this PySpark online training course. Still, prior knowledge of Python Programming and SQL will be helpful but not compulsory.

Introduction to PySpark

PySpark is one of the most leading and successful platforms that industries are searching to use because of its intellectual capacities, which makes a tremendous advantage for the business. Through PySpark Online Training, you will acquire thorough knowledge about PySpark in a precise way, which will ignite a bright path for a flourishing career in Bi data analytics.

Apache Spark is an open-source batch processing structure that is used in streaming analytics systems. 

Python is an open-source programming language that holds plenty of libraries that promote several applications. 

PySpark is a combination of Python and Spark utilized for Big Data analytics. The Python API for Spark empowers programmers to tackle the integrity of Python and the potential of Apache Spark. The primary use of PySpark is to streamline the data analysis process of large organizations.

RDD is an acronym for Resilient Distributed Dataset, the essential building stone of Apache Spark. RDD is a primary data structure of Apache Spark, which is a steady distributed compilation of objects. Each dataset in an RDD is partitioned into logical distributions that might be reckoned on distinct nodes of the cluster.

No, PySpark is not a programming language. PySpark is a Python API for Apache Spark deployments that Python professionals can grasp on to build in-memory processing requests. 

Spark is initially written in Scala. Still, Spark Community published a new tool, which is called PySpark. Primarily, it supports Python with Spark. Furthermore, PySpark is inspiring to operate with RDDs in Python programming language. This is possible because of the support of Py4j. It also provides a PySpark Shell. However, the primary objective of this is to integrate the Python API to the spark hub. 

Exams and Certifications

At the end of the PySpark online training course, candidates are supposed to work in real-time projects with good results to receive the course completed certification. If the candidates fail to deliver good results on a real-time project, we will assist them by the solution for their doubts and queries and support reattempting the project. Our Spark Databox PySpark Online Training Institute afforded certification is legitimate and accepted in all leading MNC’s.

There are many types of PySpark certifications available that can encourage you to grow as an expert in Big data and Analytics. Therefore, you should opt for the PySpark training provider to help you choose the right kind of certification if you are passionate about PySpark.  Initially, start with the basic certification course and move on to the advanced level course.

A PySpark Online Course certification is based on the intensity of knowledge provided by the course. In PySpark, it has multiple types of certifications, and to choose among the best course from them will highly depend on your goal set and prior knowledge or experience related to it. 

You can visit the website that regulates the PySpark certification to apply for the exam. The trainers will also guide you on every step to apply for the examination.

You are allowed to reattempt the PySpark Online training course examinations as many numbers of times until you pass but with registration fees for the exams. 

If you fail in the initial attempt even after the PySpark Online Training, then that is very pessimistic. But, if you want to retake the exam, you should have to wait for 24 hours and also want to read your entire syllabus covered before reattempting the exam.

Yes, you can withdraw your enrollment if required. We will refund the course payment after deducting the administration fee.

Job Opportunities

Once you are certified with the PySpark Online Courses certification, you will have an abundant career opportunities from which you can grasp with Spark Databox placement support rendered by the trainers as a part of the course training.

Spark Databox’s PySpark online course certification covers every topic right from the start, so anyone from beginner to intermediate level candidates can take up this course without any fear. We strive to make sure you accomplish your learning goals, and we will not stop until you succeed. 

A professional certification or formal training will assist you in handling the applications more productively and efficiently than taking up information from freely available sources. A professional course will benefit you stand unique in the crowd. 

You can receive in-depth knowledge of the PySpark platform, and it confirms your technical skills in the implementation and management of PySpark certification. These certifications will be highly beneficial for those aiming to improve their knowledge and career to the succeeding levels with high salaries in Big data analytics.

You will be provided placement and resume building assistance in Spark Databox. Upon successful completion of the course, candidates will be awarded a course completion certificate along with the certificate of practical training Achievement from Spark Databox. With industry partners on-board, we will ensure you have all the support you require to secure a job. 

Upcoming Batches

Start Date End Date Time (EST) (UTC - 5) Day
13-Dec-19 10-Jan-20 (09:30 PM - 12:00 AM) Fri-Sat
14-Dec-19 11-Jan-20 (09:30 PM - 12:00 AM) Sat-Sun
16-Dec-19 13-Jan-20 (09:30 PM - 11:00 PM) Mon-Fri
17-Dec-19 14-Jan-20 (09:30 PM - 11:00 PM) Tue-Sat
20-Dec-19 17-Jan-20 (09:30 PM - 12:00 AM) Fri-Sat

Note : We can arrange classes on different timings up on customer request. Please call us to schedule classes as per your convenient timings. We can arrange one to one training up on customer request.


PySpark online training at Spark Databox has the right amount of practical training that one needed become job-ready. I dedication shown towards their students are unmatchable. I definitely recommend Spark Databox for your training needs.

Ramana Keduki
Big data developer

I am glad that I choose Spark Databox for PySpark training. I got placed in an MNC even before I finish my training. Project training was excellent and you will really get practical knowledge.

Karthik Selvaraj
Big data developer

PySpark online training at Spark Databox is really praiseworthy. You will get exactly what they promise and sometimes more.. they go above and beyond to make sure are equipped with all the knowledge you need for big data job.

Mukesh Khanna
Big data developer

Excellent training!! I recommend

Jasmine Joe
Big data developer

Spark Databox's Python training is properly structured, practical oriented practical training. I had a good time interacting with the trainer. They are very quick to resolve any issues you have. I I was without job for 4 months and was able to secure the job after getting trained by them. They saved my career and my life.

Sivaji kumaresan
Big data developer

I took PySpark training at Spark Databox. The trainer is very knowledgable and was able to explain tough concepts easily. I was able to crack many interviews after the training. I really liked their cloud lab.

Data engineer

The quality of the course content is just awesome. Very happy to choose the right training for the career. Overall, an excellent training.

Marie Andrew
Big data developer

A big thank you for Spark Databox for saving my career. I lost my job 8 months ago. i was not getting any interviews because of my technical skill. I only knew mainframes and totally unaware of market demand. I saw their ad in Facebook and contacted them. The management was very happy to answer all of my questions and they provided exactly what i needed that time. Full practical training. I cant thank much. I wish system will allow more to write. For now, I definitely recommend Spark Databox.

Murali Santhanam
Big data developer

very good trainers. excellent practical training and placement assistance

Mohenjit Sinha
Big data developer

SparkDatabox is one of the best training. I took Python training with them and I am very much satisfied with their training quality. they did outstanding job in getting me placed in an MNC.

Rajesh Kamat
Big data developer


Every training session will be recorded, and access will be provided to all the videos on Spark Databox 's state-of-the-art course training system. You can watch the recorded sessions at your own time and convenience. Or you have the other option to grasp the dropped session in any different live batch.

Provide you practical training on cloud labs
Provide a quiz for practice
Provide you with sample questions
Provide other additional study materials
All of our profoundly qualified trainers are industry experts with years of consistent teaching experience. Each of our mentors has gone through a meticulous selection method, which includes profile screening, professional evaluation, and a training class demo before they are approved for the training session. We also assure that only those trainers with high alumni rank continue to train candidates.
Our coaching assistants are well-experienced partners of industry experts to support you get accredited in your first endeavor. They involve learners to take part actively to assure the candidates are successfully following the course sessions to help enhance your learning activity, from class onboarding to project training and job assistance.
Training guidance has developed with the advance of technology over the years.
Online training scores accessibility and quality to the training mode.
With a 24x7 assistance system, our online learners will always have some guide to help them even after the session expires.
Acts as one of the great forces to ensure that the candidates accomplish their end learning goal.