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PySpark Certification Training Course

PySpark Certification Training Course
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    Instructor-led Python Spark Certification Training using PySpark live online Training Schedule

    Flexible batches for you

    21,995
    Starts at 7,332 / monthWith No Cost EMI Know more
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    Why enroll for PySpark course?

    pay scale by Edureka courseMajor MNCs like Facebook, Instagram, Netflix, Yahoo, Walmart and many more deployed Spark to process data and enable downstream analytics
    IndustriesAccording to Fortune Business Insights, the global big data analytics market size is projected to reach $549.73B in 2028, at a CAGR of 13.2% during the forecast period
    Average Salary growth by Edureka courseThe salaries of Big Data Developers in the US range from USD 73,445 to USD 140,000 , with a median salary of USD 114,000 - Indeed.com

    PySpark Course Benefits

    There are several industries making significant investments in big data analytics, including banking, retail, manufacturing, finance, healthcare, and government, aiming to make more informed business decisions. This translates into a variety of jobs being created within each sector, requiring individuals with expertise in this field. Furthermore, it is forecasted that the increasing demand for these roles far exceeds the current supply. Obtaining a PySpark certification will undoubtedly enhance your chances of securing a rewarding job with an attractive salary.
    Annual Salary
    Big Data Engineer average salary
    Hiring Companies
     Hiring Companies
    Want to become a Big Data Engineer?
    Annual Salary
    Big Data Developer average salary
    Hiring Companies
     Hiring Companies
    Want to become a Big Data Engineer?
    Annual Salary
    Big Data Analyst average salary
    Hiring Companies
     Hiring Companies
    Want to become a Big Data Engineer?

    Why PySpark course from edureka

    Live Interactive Learning

    Live Interactive Learning

    • World-Class Instructors
    • Expert-Led Mentoring Sessions
    • Instant doubt clearing
    Lifetime Access

    Lifetime Access

    • Course Access Never Expires
    • Free Access to Future Updates
    • Unlimited Access to Course Content
    24x7 Support

    24x7 Support

    • One-On-One Learning Assistance
    • Help Desk Support
    • Resolve Doubts in Real-time
    Hands-On Project Based Learning

    Hands-On Project Based Learning

    • Industry-Relevant Projects
    • Course Demo Dataset & Files
    • Quizzes & Assignments
    Industry Recognised Certification

    Industry Recognised Certification

    • Edureka Training Certificate
    • Graded Performance Certificate
    • Certificate of Completion

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    About your PySpark course

    Skills Covered

    • skillStoring Big Data in HDFS
    • skillTransformations and Actions in Spark
    • skillData Ingestion using Sqoop and Flume
    • skillQuerying Big Data using Spark SQL
    • skillBuilding Data Pipeline using Kafka
    • skillReal-time Data Processing with Spark

    Tools Covered

    • Flume
    • kafka
    • Apache Spark
    • Hadoop HDFS
    • Hadoop
    • Python
    • Spark MLlib
    • Spark SQL
    • Spark Streaming
    • Apache Sqoob

    PySpark Certification Course Curriculum

    Curriculum Designed by Experts

    AdobeIconDOWNLOAD CURRICULUM

    Introduction to Big Data Hadoop and Spark

    18 Topics

    Topics

    • What is Big Data?
    • Big Data Customer Scenarios
    • Limitations and Solutions of Existing Data Analytics Architecture with Uber Use Case
    • 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
    • Big Data Analytics with Batch & Real-Time Processing
    • Why Spark is Needed?
    • What is Spark?
    • How Spark Differs from its Competitors?
    • Spark at eBay
    • Spark’s Place in Hadoop Ecosystem

    skillHands-On

    • Hadoop terminal commands

    skillSkills You Will Learn

    • Hadoop components and its architecture
    • Storing data in HDFS
    • Working with HDFS commands

    Introduction to Python for Apache Spark

    15 Topics

    Topics

    • Overview of Python
    • Different Applications where Python is Used
    • Values, Types, Variables
    • Operands and Expressions
    • Conditional Statements
    • Loops
    • Command Line Arguments
    • Writing to the Screen
    • Python files I/O Functions
    • Numbers
    • Strings and related operations
    • Tuples and related operations
    • Lists and related operations
    • Dictionaries and related operations
    • Sets and related operations

    skillHands-On

    • Creating “Hello World” code
    • Demonstrating Conditional Statements
    • Demonstrating Loops
    • Tuple - properties, related operations, compared with list
    • List - properties, related operations
    • Dictionary - properties, related operations
    • Set - properties, related operations

    skillSkills You Will Learn

    • Writing Python Programs
    • Implementing Collections in Python

    Functions, OOPs, and Modules in Python

    11 Topics

    Topics

    • Functions
    • Function Parameters
    • Global Variables
    • Variable Scope and Returning Values
    • Lambda Functions
    • Object-Oriented Concepts
    • Standard Libraries
    • Modules Used in Python
    • The Import Statements
    • Module Search Path
    • Package Installation Ways

    skillHands-On

    • Functions - Syntax, Arguments, Keyword Arguments, Return Values
    • Lambda - Features, Syntax, Options, Compared with the Functions
    • Sorting - Sequences, Dictionaries, Limitations of Sorting
    • Errors and Exceptions - Types of Issues, Remediation
    • Packages and Module - Modules, Import Options, sys Path

    skillSkills You Will Learn

    • Implementing OOPs Concepts
    • Functional Programming

    Deep Dive into Apache Spark Framework

    7 Topics

    Topics

    • Spark Components & its Architecture
    • Spark Deployment Modes
    • Introduction to PySpark Shell
    • Submitting PySpark Job
    • Spark Web UI
    • Writing your first PySpark Job Using Jupyter Notebook
    • Data Ingestion using Sqoop

    skillHands-On

    • Building and Running Spark Application
    • Spark Application Web UI
    • Understanding different Spark Properties

    skillSkills You Will Learn

    • Writing basic Spark application
    • Spark architecture and its components
    • Ingesting structured data into HDFS

    Playing with Spark RDDs

    11 Topics

    Topics

    • Challenges in Existing Computing Methods
    • Probable Solution & How RDD Solves the Problem
    • What is RDD, Its Operations, Transformations & 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 & How it Helps Achieve Parallelization
    • Passing Functions to Spark

    skillHands-On

    • Loading data in RDDs
    • Saving data through RDDs
    • RDD Transformations
    • RDD Actions and Functions
    • RDD Partitions
    • WordCount through RDDs

    skillSkills You Will Learn

    • Transformations and actions in Spark
    • Implementing RDDs in Spark

    DataFrames and Spark SQL

    11 Topics

    Topics

    • Need for Spark SQL
    • What is Spark SQL
    • Spark SQL Architecture
    • SQL Context in Spark SQL
    • Schema RDDs
    • User Defined Functions
    • Data Frames & Datasets
    • Interoperating with RDDs
    • JSON and Parquet File Formats
    • Loading Data through Different Sources
    • Spark-Hive Integration

    skillHands-On

    • Spark SQL – Creating data frames
    • Loading and transforming data through different sources
    • Stock Market Analysis
    • Spark-Hive Integration

    skillSkills You Will Learn

    • Working with DataFrame API
    • Querying structured data using Spark SQL
    • Integrating Spark with Hive

    Machine Learning using Spark MLlib

    8 Topics

    Topics

    • Why Machine Learning?
    • What is Machine Learning?
    • Where Machine Learning is Used?
    • Face Detection: USE CASE
    • Different Types of Machine Learning Techniques
    • Introduction to MLlib
    • Features of MLlib and MLlib Tools
    • Various ML algorithms supported by MLlib

    skillHands-On

    • Face detection use case

    skillSkills You Will Learn

    • Understanding machine learning
    • Functions and features of MLlib

    Deep Dive into Spark MLlib

    3 Topics

    Topics

    • Supervised Learning - Linear Regression, Logistic Regression, Decision Tree, Random Forest
    • Unsupervised Learning - K-Means Clustering & How It Works with MLlib
    • Analysis on US Election Data using MLlib (K-Means)

    skillHands-On

    • Machine Learning MLlib
    • K- Means Clustering
    • Linear Regression
    • Logistic Regression
    • Decision Tree
    • Random Forest

    skillSkills You Will Learn

    • Working with machine learning algorithms
    • Implementing Spark MLlib

    Understanding Apache Kafka and Apache Flume

    16 Topics

    Topics

    • Need for Kafka
    • What is Kafka
    • Core Concepts of Kafka
    • Kafka Architecture
    • Where is Kafka Used
    • Understanding the Components of Kafka Cluster
    • Configuring Kafka Cluster
    • Kafka Producer and Consumer Java API
    • Need of Apache Flume
    • What is Apache Flume
    • Basic Flume Architecture
    • Flume Sources
    • Flume Sinks
    • Flume Channels
    • Flume Configuration
    • Integrating Apache Flume and Apache Kafka

    skillHands-On

    • Configuring Single Node Single Broker Cluster
    • Configuring Single Node Multi Broker Cluster
    • Producing and consuming messages
    • Flume Commands
    • Setting up Flume Agent
    • Streaming Twitter Data into HDFS

    skillSkills You Will Learn

    • Ingesting unstructured data into HDFS
    • Working with Kafka command line tools

    Apache Spark Streaming - Processing Multiple Batches

    12 Topics

    Topics

    • Drawbacks in Existing Computing Methods
    • Why Streaming is Necessary
    • What is Spark Streaming
    • Spark Streaming Features
    • Spark Streaming Workflow
    • How Uber Uses Streaming Data
    • Streaming Context & DStreams
    • Transformations on DStreams
    • Describe Windowed Operators and Why it is Useful
    • Important Windowed Operators
    • Slice, Window and ReduceByWindow Operators
    • Stateful Operators

    skillHands-On

    • WordCount Program using Spark Streaming

    skillSkills You Will Learn

    • Working with DStream API

    Apache Spark Streaming - Data Sources

    4 Topics

    Topics

    • Apache Spark Streaming: Data Sources
    • Streaming Data Source Overview
    • Apache Flume and Apache Kafka Data Sources
    • Example: Using a Kafka Direct Data Source

    skillHands-On

    • Various Spark Streaming Data Sources

    skillSkills You Will Learn

    • Real-time data processing
    • Building data pipelines

    Implementing an End-to-End Project

    2 Topics

    Topics

    • Project 1- Domain: Finance
    • Project 2- Domain: Media and Entertainment

    skillHands-On

    • Implementing an End-to-End Project

    skillSkills You Will Learn

    • Building a data pipeline

    Spark GraphX (Self-paced)

    4 Topics

    Topics

    • Introduction to Spark GraphX
    • Information about a Graph
    • GraphX Basic APIs and Operations
    • Spark GraphX Algorithm - PageRank, Personalized PageRank, Triangle Count, Shortest Paths, Connected Components, Strongly Connected Components, Label Propagation

    skillHands-On

    • The Traveling Salesman problem
    • Minimum Spanning Trees

    skillSkills You Will Learn

    • Spark GraphX programming concepts and operations
    • Implementing GraphX algorithms

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    Course Details

    Overview

    The PySpark course is designed to provide you with the knowledge and skills needed to become a successful Big Data & Spark Developer. This PySpark online training will help you clear the CCA Spark and Hadoop Developer (CCA175) Examination. You will understand the basics of Big Data and Hadoop, along with how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. This course also covers RDDs, Spark SQL for structured processing, and different APIs offered by Spark, such as Spark Streaming, Spark MLlib, HDFS, Flume, Spark GraphX, and Kafka. The best PySpark online courses are an integral part of a Big Data Developer’s career path.

      What are the prerequisites for this Course?

      There are no prerequisites for the PySpark training course. Prior work experience is also not required. Knowledge of Python programming and SQL will be an added advantage.

        What skills will you learn in this certification course?

        You will learn about HDFS, Hadoop 2.x, the Spark ecosystem, Spark SQL, and MLlib. The course also covers real-time data processing with Kafka, Flume, and Spark Streaming. Additionally, you will work on practical projects using Edureka’s CloudLab.

          How will I execute the practicals in this ?

          You are required to complete all your assignments and Case Studies using the VM provided by Edureka. In case you have any doubts or questions, Edureka’s Support Team will be available 24/7 for prompt assistance.

            What are the system requirements for the PySpark Certification Training ?

            It would help if you had good internet connectivity and a Mobile/tab/laptop/system installed with Zoom/Meet, which is required for the PySpark online training. In addition, we will provide Cloud LAB, a pre-configured environment with the necessary tools and services for executing your practicals.

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

                Projects

                 certification projects

                Industry: Finance

                A leading financial bank is trying to broaden the financial inclusion for the unbanked population by providing a positive and safe borrowing experience. In order to make sure thi....
                 certification projects

                Industry: Transportation

                With the spike in pollution levels and the fuel prices, many Bicycle Sharing Programs are running around the world. Bicycle sharing systems are a means of renting bicycles where ....

                PySpark Certification

                To unlock Edureka’s PySpark  course completion certificate, you must ensure the following:
                • Fully participate in this PySpark Certification Training Course.
                • Complete the assessments and projects listed.
                This will help you gain the essential knowledge and skills to become a successful Big Data & Spark Developer.
                Please visit the page which will guide you through the top Apache Spark Interview questions and answers.

                Upon completing the training, Edureka will provide you with a course completion certificate, which is valid for a lifetime.
                Concepts like Spark Libraries, RDD, Spark Core, HDFS commands, and architecture are the building blocks that will help you become a PySpark developer.
                Apache Spark Developer using Python Certificate
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                Abhijeet
                Good teaching great learning platform for beginners. Batches are flexible so anybody who can join python pyspark course they can join as per daily rou...
                A
                ANEEKET BHATNAGAR
                I highly recommend Edureka. The course content is easy to understand and helpful to get ahead in the career. Great support from the team.
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                Sivanand Sista
                Flexibility, Readyness to serve , Content Quality ,Content availability
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                MACVIN DBRITTO
                "Really liked thw way of handling queries from Edureka. Especially Syed Wasim was very friendly, helpful and very responsive. His Suggestion and advis...
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                Pritam Pal
                Everything about this training was excellent. No complaints. I would recommend this course to others.
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                Pritam Pal
                The instructor of my course was excellent. He explained everything in detail. The course content was also good but I would like the content to be more...

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                Balasubramaniam MuthuswamyTechnical Program Manager
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                Vinayak shares his Edureka learning experience and how our Big Data training helped him achieve his dream career path.
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                Sriram speaks about his learning experience with Edureka and how our Hadoop training helped him execute his Big Data project efficiently.
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                FAQs

                What if I have queries after completing this PySpark Training course?

                You will have lifetime access to the Support Team, available 24/7. The team will assist you in resolving queries during and after the course.

                What if I miss a live class ?

                "At Edureka, you will never miss a lecture. You have two options::
                • View the recorded session of the class available in your LMS.
                • Attend the missed session in any other live batch."

                Will I receive placement assistance after completing this training?

                    To assist you in your job search, we have included a resume builder tool in your LMS. This tool enables you to create a winning resume in just three easy steps. You will have unlimited access to various templates suitable for different roles and designations. Simply log in to your LMS and click on the "create your resume" option.

                Is the course material accessible to students even after completing the training?

                Yes, you will have lifetime access to the course material once you have enrolled in the course.


                Can I attend a demo session before enrolling?

                    To maintain quality standards, we have a limited number of participants in each live session. Therefore, it is not possible to participate in a live class without enrollment. However, you can go through the sample class recording, which will give you a clear insight into how the classes are conducted, the quality of instructors, and the level of interaction in a class.

                Who are the instructors?

                    All the instructors at Edureka are practitioners from the industry with a minimum of 10-12 years of relevant IT experience. They are subject matter experts and have been trained by Edureka to provide an excellent learning experience to the participants.

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

                Yes, you can cancel your enrollment. If you get a refund, you should claim it within three days of registering for the course. The money-back guarantee is void if the learner fails to raise a refund request within three days of purchasing the course.

                What if I have more queries related to this PySpark online course?

                    You can contact us via phone at +91 88808 62004/1800 275 9730 (US Toll-free Number) or email us at sales@edureka.co .

                How can I learn more about this PySpark course?

                Contact us using the "Drop us a Query" form or +91 88808 62004/1800 275 9730 (US Toll-free Number) or email us at sales@edureka.co. Our customer service representatives will be able to give you more details.

                Does Edureka provide financial assistance for this course?

                We offer various financing options including No Cost EMI, to ensure flexible payment solutions for our learners. For more details, please check our pricing section.

                What is covered under the 24/7 Support promise?

                Our dedicated team will support you 24/7 through email, chat, and calls even after you have completed your course with us.

                What is the course fee?

                The Actual course fee is 21,995 . The fee is available starting at 6,232 / month with No EMI cost.

                Can I download the full course content?

                Yes, you can download the full syllabus for this training course from the Curriculum section.
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