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Python Spark Training



Python Spark Training Overview

Course Duration 25 hrs
Training Options
Live Projects 2
Certification Pass

Python Spark Certification training will provide you the skills and knowledge that are required to become a successful Spark Developer using Python. In Python Spark training course, you will get valuable insights into the Spark Ecosystem and Apache Spark that includes Spark SQL, Spark RDD, Spark Streaming, and Spark MLlib.

The Objective of Python Spark Online and Classroom Course

Upon the completion of this Python Spark training classes, learners will know the following: 

  • Know Big Data & Hadoop inclusive of Hadoop Distributed File System and Yet Another Resource Negotiator
  • Understand various tools under Spark Ecosystem like Spark MlLib, Spark SQL, Kafka, Sqoop, Flume, and Spark Streaming
  • Know to ingest data in HDFS using Flume, and Sqoop. Analyze stored datasets in the HDFS
  • Fundamentals of HDFS
  • Learn Hadoop 2.x Architecture
  • Know data loading techniques with Sqoop
  • Know Spark and its Ecosystem
  • Execute Spark operations on Spark Shell
  • Understand the role of Spark RDD
  • Execute Spark applications on YARN
  • Execute machine learning algorithms
  • Know Spark SQL and it’s architecture
  • Learn the messaging system and its components
  • Know about Spark Streaming

Developers, Senior IT Professionals, BI /ETL/DW Professionals, Mainframe professionals, Freshers, Big Data Architects and Engineers, Data Scientists and Analytics Professionals can ideally take up this course.

Python Spark Training Course Curriculum

Module 1: Python for Apache Spark

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

Module 2: Big Data Hadoop and Spark

  • Know Big Data
  • Know how Hadoop resolves Big Data Problem
  • Overview of Hadoop
  • Hadoop’s major characteristics
  • HDFS and Hadoop Ecosystem
  • Core Components of Hadoop
  • Block Replication and Rack Awareness   
  • YARN and its benefits
  • Hadoop Cluster and Architecture
  • Different Cluster Modes in Hadoop
  • Purpose of Spark
  • What is Spark?
  • Spark’s importance in the Hadoop Ecosystem

Module 3: Functions, Modules and OOPs in Python

  • Function Parameters
  • Working with Global Variables
  • Returning Values and Variable Scope  
  • Lambda Functions
  • Object-Oriented Concepts
  • Standard Libraries
  • Python Modules   
  • Import Statements
  • Module Search Path
  • Set up Package

Module 4: Apache Spark Framework

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

Module 5: Spark RDDs Concepts

  • Challenges in current Computing Methods
  • Likely Solutions & how RDD Solves the Problem
  • Know about RDD, its operations, actions and transformations 
  • Data Saving and Loading with RDDs
  • Key-Value Pair RDDs
  • Other Pair and Two Pair RDDs
  • RDD Lineage and Persistence
  • WordCount Program with RDD  
  • RDD Partitioning & Parallelization
  • How to pass functions to Spark

Module 6: DataFrames and Spark SQL

  • Purpose of Spark SQL
  • What is Spark SQL?
  • The architecture of Spark SQL 
  • SQL Context in Spark SQL
  • Schema RDDs
  • Datasets and Data Frames   
  • User-defined Functions
  • Interoperating with RDDs
  • Parquet File Formats and JSON   
  • Loading Data through various sources
  • Spark-Hive Integration

Module 7: Streaming Data Sources

  • Overview of Streaming Data Source
  • Apache Flume and Kafka Data Sources

Module 8: Spark Streaming Concepts

  • The disadvantage in current Computing Methods
  • What is Spark Streaming?
  • Purpose of streaming
  • Features of Spark Streaming 
  • The workflow in Spark Streaming 
  • Streaming DStreams and Context  
  • Transformations on DStreams
  • Know Windowed Operators and their benefits
  • Important Windowed Operators
  • Window, Slice and Reduce with Window Operators
  • Stateful Operators

Conclusion:

Python Spark training offered by CA Software Technologies (CAST) will kick start your career through real-time industry scenarios and practical assignments. Qualitative training offered by domain experts is our forte thereby making students thorough in the specific subject. CA Software Technologies (CAST) offers guaranteed job assistance in India and overseas. 

Python Spark Training Options

For Corporates

Live Instructor Led Python Spark Training
  • Live Presentation of theory and demonstration of features and tasks of the Denodo
  • Learn as per a daily schedule.
  • You get recordings of each training session that you attend.
  • Clarify doubts at the beginning of each training session.
  • Delivered through Goto Meeting.
  • Completely Customizable Course Content & Schedule.
  • Certification Guidance Provided.
Python Spark Training Classroom Training
  • F2F interactive presentation of theory and demonstration of features and tasks of the Denodo
  • Learn as per full day schedule with discussions & exercises.
  • No recordings available, however you can choose self-paced video if needed.
  • Doubts Clarifications.
  • Delivered through F2F as trainer conducts the training at your facility.
  • Completely Customizable Course Content & Schedule.
  • Certification Guidance Provided.
Self Paced Learning
  • High Quality videos built by industry experts with theory and demonstration of features and tasks of the Denodo
  • Learn at your Convenience.
  • You get pre-defined recordings.
  • Delivered through LMS.
  • Fixed Course Content.
  • Certification Guidance Provided.

Python Spark Training Upcoming Batches

Mon-28-2022

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Tue-29-2022

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Wed-30-2022

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Thu-01-2022

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Fri-02-2022

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Sat-03-2022

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Sun-04-2022

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Sat-10-2022

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Sun-11-2022

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Sat-17-2022

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Sun-18-2022

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Sat-24-2022

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Sun-25-2022

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What our Customer say's

"Great explanation of concepts through live examples, this helped me to link the topics and understand the connect between various topics of Tibco Spotfire Admin. Excellent. Great learning experience.. Thanks a lot CAST!!"

Mr. Chandra

Certified Student

(4.5)

"Thank You for the sessions that helped me gaining knowledge in Spotfire. Trainers experience helped me to get detailed information regarding the key concepts and challenging tasks in real time. Thanks once again"

Mr. Arun

Certified Student

(4.5)

"The trainer of the casoftwaretechnologies.com is top rated customer provided the more useful information In Tibco Spotfire Admin Training than the normal which helped me to improve my skills.. Thanks to CA software technologies"

Mrs. Ramya

Certified Student

(4)

Python Spark Training Certification !

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Features

Online guidance session or Instructor led course delivery online

24*7 delivery of learning through live lectures and demonstrations by industry experts. Weekend class: 8 sessions of 1 to 4+ hours each in Online Mentorship Mode

Hands-on experience with Real-time scenarios

End to end training with real-time practical exposure. Get to experience on projects using key progressive concepts.

Gauge learners understanding

Formative evaluation of the trainees at the end of each class.

Unlimited Online Access

You get Lifetime Unlimited Online Training Videos, presentations, installation guide to enhance your knowledge

7×24 technical support expertise

24/7/365 technical support with powerful ticket tracking system for life

Certification

Stay ahead of the game with our certificate after course completion

Assessments

Each class will be followed by a test to assess your learning.

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+91 912 110 4115
Experts Available 24 x 7