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Pyspark Training Course

Intellipaat's PySpark course is designed to help you understand the PySpark concept and develop custom, feature-rich applications using Python and Spark. Our PySpark training courses are conducted online by leading PySpark experts working in top MNCs. As part of this PySpark certification program, you will become an experienced Spark developer using Python and can clear the Cloudera Hadoop and Spark Developers certification exam (CCA175). During this PySpark course, you will gain in-depth knowledge of Apache Spark and related ecosystems, including Spark Framework, PySpark SQL, PySpark Streaming, and more. In addition, you can work in a virtual lab and run real-time projects to get hands-on experience with PySpark.

Key Features

  • Instructor Led Training : 24 Hrs
  • Self-paced Videos : 22 Hrs
  • Exercises & Project Work : 60 Hrs
  • Get Certified & Job Assistance
  • Flexible Schedule
  • Lifetime free upgrade
  • 24 x 7 Lifetime Support & Access

About PySpark Training Course

The PySpark Certification Program is specially curated to provide you with the skills and technical know-how to become a Big Data and Spark developer. Starting from the basics of Big Data and Hadoop, this Python course will boil down to cover the key concepts of PySpark ecosystem, Spark APIs, associated tools, and PySpark Machine Learning. Upon the completion of this training, you can comfortably pass the CCA Spark and Hadoop Developer (CCA175) exam.

What will you learn in this PySpark online training?

When you enroll in our PySpark certification course and complete the training program, you will:

  • Become familiar with Apache Spark, its applicability and Spark 2.0 architecture
  • Gain hands-on expertise with the various tools in the Spark ecosystem, including Spark MLlib, Spark SQL, Kafka, Flume and Spark Streaming
  • Understand the architecture of RDD, lazy evaluation, etc.
  • Learn how to change the architecture of the DataFrame and how to interact with it using Spark SQL
  • Build various APIs that work with Spark DataFrame
  • Pick up the skills to aggregate, filter, sort and transform data using DataFrame

Who should take up this PySpark certification course?

Big Data analytics is experiencing constant growth, thus, providing an excellent opportunity for all IT kinds of IT/ITES professionals. Thus, learning PySpark is an outstanding career transition. Further, professional hailing from the following domains can enroll in our PySpark course:

  • Software developers and architects
  • ETL and DW professionals
  • BI experts
  • Senior IT expert
  • Mainframe developers
  • Data Science engineers
  • Big data engineers, developers, and architects, etc.

What are the prerequisites for this PySpark certification training?

We do not enforce any prerequisite for enrolling in our PySpark online training. However, basic programming skills can help you speed up your learning. However, you can still join our PySpark Certification Program without any extensive programming experience. Our online real-time training is conducted by industry experts, and under their guidance, you can easily pick up the basics of any topic/domain.

Why should you take up the PySpark training course?

  • In the US, Data Spark Developer has an average annual salary of $150,000 – Neuvoo
  • The average salary range for “Apache Spark Developers” is from US$92,176 a year for the developer to $126,114 a year for back-end developers. – Indeed
  • Big data market revenue is expected to grow from $42 billion (2018) to $103 billion in 2027! – Forbes
  • 79% of company executives say that companies that do not embrace Big Data are losing market control and may become non-existent – Accenture

Almost all the companies that rely on Big Data, use Spark as part of their solution strategy. Therefore, the job requirements in either Big Data or PySpark is not going to reduce in the upcoming years. So, “now,” is the perfect time to upskill your PySpark learning and enroll yourself in a recognized PySpark training course.

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PySpark Course Content

Introduction to Big Data and Apache Spark

  • What is Big Data?
  • 5 V’s of Big Data
  • Problems related to Big Data: Use Case
  • What tools available for handling Big Data?
  • What is Hadoop?
  • Why do we need Hadoop?
  • Key Characteristics of Hadoop
  • Important Hadoop ecosystem concepts
  • MapReduce and HDFS
  • Introduction to Apache Spark
  • What is Apache Spark?
  • Why do we need Apache Spark?
  • Who uses Spark in the industry?
  • Apache Spark architecture
  • Spark Vs. Hadoop
  • Various Big data applications using Apache Spark

Python for Spark

  • Introduction to PySpark
  • Who uses PySpark?
  • Why Python for Spark?
  • Values, Types, Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Numbers
  • Python files I/O Functions
  • Strings and associated operations
  • Sets and associated operations
  • Lists and associated operations
  • Tuples and associated operations
  • Dictionaries and associated operations

Hands-On:

  • Demonstrating Loops and Conditional Statements
  • Tuple – related operations, properties, list, etc.
  • List – operations, related properties
  • Set – properties, associated operations
  • Dictionary – operations, related properties

Python for Spark: Functional and Object-Oriented Model

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

Hands-On:

  • Lambda – Features, Options, Syntax, Compared with the Functions
  • Functions – Syntax, Return Values, Arguments, and Keyword Arguments
  • Errors and Exceptions – Issue Types, Remediation
  • Packages and Modules – Import Options, Modules, sys Path

Apache Spark Framework and RDDs

  • Spark Components & its Architecture
  • Spark Deployment Modes
  • Spark Web UI
  • Introduction to PySpark Shell
  • Submitting PySpark Job
  • Writing your first PySpark Job Using Jupyter Notebook
  • What is Spark RDDs?
  • Stopgaps in existing computing methodologies
  • How RDD solve the problem?
  • What are the ways to create RDD in PySpark?
  • RDD persistence and caching
  • General operations: Transformation, Actions, and Functions
  • Concept of Key-Value pair in RDDs
  • Other pair, two pair RDDs
  • RDD Lineage
  • RDD Persistence
  • WordCount Program Using RDD Concepts
  • RDD Partitioning & How it Helps Achieve Parallelization
  • Passing Functions to Spark

Hands-On:

  • Building and Running Spark Application
  • Spark Application Web UI
  • Loading data in RDDs
  • Saving data through RDDs
  • RDD Transformations
  • RDD Actions and Functions
  • RDD Partitions
  • WordCount program using RDD’s in Python

PySpark SQL and Data Frames

  • Need for Spark SQL
  • What is Spark SQL
  • Spark SQL Architecture
  • SQL Context in Spark SQL
  • User-Defined Functions
  • Data Frames
  • Interoperating with RDDs
  • Loading Data through Different Sources
  • Performance Tuning
  • Spark-Hive Integration

Hands-On:

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

Apache Kafka and Flume

  • Why Kafka
  • What is Kafka?
  • Kafka Workflow
  • Kafka Architecture
  • Kafka Cluster Configuring
  • Kafka Monitoring tools
  • Basic operations
  • What is Apache Flume?
  • Integrating Apache Flume and Apache Kafka

Hands-On:

  • Single Broker Kafka Cluster
  • Multi-Broker Kafka Cluster
  • Topic Operations
  • Integrating Apache Flume and Apache Kafka

PySpark Streaming

  • Introduction to Spark Streaming
  • Features of Spark Streaming
  • Spark Streaming Workflow
  • StreamingContext Initializing
  • Discretized Streams (DStreams)
  • Input DStreams, Receivers
  • Transformations on DStreams
  • DStreams Output Operations
  • Describe Windowed Operators and Why it is Useful
  • Stateful Operators
  • Vital Windowed Operators
  • Twitter Sentiment Analysis
  • Streaming using Netcat server
  • WordCount program using Kafka-Spark Streaming

Hands-On:

  • Twitter Sentiment Analysis
  • Streaming using Netcat server
  • WordCount program using Kafka-Spark Streaming
  • Spark-flume Integration

Introduction to PySpark Machine Learning

  • Introduction to Machine Learning- What, Why and Where?
  • Use Case
  • Types of Machine Learning Techniques
  • Why use Machine Learning for Spark?
  • Applications of Machine Learning (general)
  • Applications of Machine Learning with Spark
  • Introduction to MLlib
  • Features of MLlib and MLlib Tools
  • Various ML algorithms supported by MLlib
  • Supervised Learning Algorithms
  • Unsupervised Learning Algorithms
  • ML workflow utilities

Hands-On:

  • K- Means Clustering
  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Random Forest
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PySpark Certification

Intellipaat’s PySpark course is designed to help you gain insight into the various PySpark concepts and pass the CCA Spark and Hadoop Developer Exam (CCA175). The entire course is created by industry experts to help professionals gain top positions in leading organizations. Our online training is planned and conducted according to the requirements of the certification exam.

In addition, industry-specific projects and hands-on experience with a variety of Spark tools can help you accelerate your learning. After completing the training, you will be asked to complete a quiz, which is based on the questions asked in the PySpark certification exam. Besides, we also award each candidate with Intellipaat PySpark Course Completion Certificate after he/she completes the training program along with the projects and scores the passing marks in the quiz.

Our course completion certification is recognized across the industry and many of our alumni work at leading MNCs, including Sony, IBM, Cisco, TCS, Infosys, Amazon, Standard Chartered, and more.

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Frequently Asked Questions on PySpark

What is Intellipaat’s PySpark online classroom training?

The PySpark online classroom training Intellipaat involves the simultaneous participation of learners and teachers in the online environment. As a participant, you can log in and take classes from anywhere, without having to be present in person. Moreover, all sessions are recorded and made accessible via the LMS within 24 hours of the training session. This PySpark online training combines live instructor-led training, self-paced classes, online videos, 24/7 live support, and multiple assignments. Further, we provide lifetime access to our training videos and other contents along with free upgrades to the latest version of the course curriculum.

After completing this course, your PySpark skills will be equivalent to a professional with 6-month experience in the same industry.

What are the different modes of training that Intellipaat provides?
At Intellipaat you can enroll either for the instructor-led online training or self-paced training. Apart from this Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience and they have been actively working as consultants in the same domain making them subject matter experts. Go through the sample videos to check the quality of the trainers.
Can I request for a support session if I need to better understand the topics?
Intellipaat is offering the 24/7 query resolution and you can raise a ticket with the dedicated support team anytime. You can avail the email support for all your queries. In the event of your query not getting resolved through email we can also arrange one-to-one sessions with the trainers. You would be glad to know that you can contact Intellipaat support even after completion of the training. We also do not put a limit on the number of tickets you can raise when it comes to query resolution and doubt clearance.
Can you explain the benefits of the Intellipaat self-paced training?
Intellipaat offers the self-paced training to those who want to learn at their own pace. This training also affords you the benefit of query resolution through email, one-on-one sessions with trainers, round the clock support and access to the learning modules or LMS for lifetime. Also you get the latest version of the course material at no added cost. The Intellipaat self-paced training is 75% lesser priced compared to the online instructor-led training. If you face any problems while learning we can always arrange a virtual live class with the trainers as well.
What kind of projects are included as part of the training?
Intellipaat is offering you the most updated, relevant and high value real-world projects as part of the training program. This way you can implement the learning that you have acquired in a real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning and practical knowledge thus making you completely industry-ready. You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. Upon successful completion of the projects your skills will be considered equal to six months of rigorous industry experience.
Does Intellipaat offer job assistance?
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this we are exclusively tied-up with over 80 top MNCs from around the world. This way you can be placed in outstanding organizations like Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation part as well.
Is it possible to switch from self-paced training to instructor-led training?
You can definitely make the switch from self-paced to online instructor-led training by simply paying the extra amount and joining the next batch of the training which shall be notified to you specifically.
How are Intellipaat verified certificates awarded?
Once you complete the Intellipaat training program along with all the real-world projects, quizzes and assignments and upon scoring at least 60% marks in the qualifying exam; you will be awarded the Intellipaat verified certification. This certificate is very well recognized in Intellipaat affiliate organizations which include over 80 top MNCs from around the world which are also part of the Fortune 500 list of companies.
Will The Job Assistance Program Guarantee Me A Job?
In our Job Assistance program we will be helping you land in your dream job by sharing your resume to potential recruiters and assisting you with resume building, preparing you for interview questions. Intellipaat training should not be regarded either as a job placement service or as a guarantee for employment as the entire employment process will take part between the learner and the recruiter companies directly and the final selection is always dependent on the recruiter.
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