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Pyspark Training in Hyderabad

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PySpark Online Training in Hyderabad by Edureka provides an in-depth overview of Apache Spark and how to integrate it with Python using the PySpark interface. This course also covers the Spark ecosystem, which includes Spark RDDs, Spark SQL, Spark Streaming, and Spark MLlib, helping you acquire the necessary skills to become a successful PySpark developer. Enroll now with this course to learn from top-rated instructors.

60 days of free Cloud Lab access worth ₹4000.

Live Online Classes starting on 27th Apr 2024

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

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APR 06^th Weekend

SAT & SUN (6 Weeks) 08:30 PM to 11:30 PM (IST)CLASS 1

APR 27^th Weekend

SAT & SUN (6.5 Weeks) 07:00 AM to 10:00 AM (IST)ORIENTATION CLASS

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SAT & SUN (6.5 Weeks) 08:30 PM to 11:30 PM (IST)ORIENTATION CLASS

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Why enroll for PySpark course in Hyderabad?

Major MNCs like Facebook, Instagram, Netflix, Yahoo, Walmart and many more deployed Spark to process data and enable downstream analytics

According 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

The 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 Training in Hyderabad Details

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.

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Why PySpark course from edureka in Hyderabad

Live Interactive Learning

World-Class Instructors
Expert-Led Mentoring Sessions
Instant doubt clearing

Lifetime Access

Course Access Never Expires
Free Access to Future Updates
Unlimited Access to Course Content

24x7 Support

One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time

Hands-On Project Based Learning

Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments

Industry Recognised Certification

Edureka Training Certificate
Graded Performance Certificate
Certificate of Completion

About your PySpark course

Pyspark Course Skills Covered

Storing Big Data in HDFS
Transformations and Actions in Spark
Data Ingestion using Sqoop and Flume
Querying Big Data using Spark SQL
Building Data Pipeline using Kafka
Real-time Data Processing with Spark

Pypsark Course Tools Covered

PySpark Certification Course Curriculum in Hyderabad

Curriculum Designed by Experts

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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

Hands-On

Hadoop terminal commands

Skills 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

Hands-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

Skills 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

Hands-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

Skills 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

Hands-On

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

Skills 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

Hands-On

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

Skills 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

Hands-On

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

Skills 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

Hands-On

Face detection use case

Skills 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)

Hands-On

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

Skills 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

Hands-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

Skills 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

Hands-On

WordCount Program using Spark Streaming

Skills 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

Hands-On

Various Spark Streaming Data Sources

Skills 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

Hands-On

Implementing an End-to-End Project

Skills 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

Hands-On

The Traveling Salesman problem
Minimum Spanning Trees

Skills You Will Learn

Spark GraphX programming concepts and operations
Implementing GraphX algorithms

Free Career Counselling

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PySpark Certification Course in Hyderabad Description

About the PySpark Online Course

The Python Spark Certification Training Course in Hyderabad is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This 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 and Spark MLlib. The PySpark online course in Hyderabad is an integral part of a Big Data Developer’s career path. It will also encompass fundamental concepts such as data capturing using Flume, data loading using Sqoop, and messaging systems like Kafka, etc.

What are the objectives of our PySpark Online Training Course in Hyderabad?

The Spark Certification Training in Hyderabad is designed by industry experts to make you a Certified Spark Developer. The PySpark Course offers:

An overview of Big Data & Hadoop, including HDFS (Hadoop Distributed File System) and YARN (Yet Another Resource Negotiator).
Comprehensive knowledge of various tools that fall in the Spark Ecosystem, such as Spark SQL, Spark MLlib, Sqoop, Kafka, Flume, and Spark Streaming.
The capability to ingest data in HDFS using Sqoop & Flume and analyze those large datasets stored in the HDFS.
The power to handle real-time data feeds through a publish-subscribe messaging system like Kafka.
Exposure to many real-life industry-based projects that will be executed using Edureka’s CloudLab.
Projects that are diverse in nature, covering banking, telecommunications, social media, and government domains.
Rigorous involvement of an SME throughout the Spark Training to learn industry standards and best practices.

Why should you go for PySpark training online in Hyderabad?

Spark is one of the fastest-growing and widely used tools for Big Data & Analytics. It has been adopted by multiple companies in various domains around the globe and, therefore, offers promising career opportunities. To take part in these kinds of opportunities, you need structured training that is aligned with Cloudera Hadoop and Spark Developer Certification (CCA175) and current industry requirements and best practices. Besides strong theoretical understanding, it is essential to have strong hands-on experience. Hence, during Edureka’s PySpark course in Hyderabad, you will be working on various industry-based use cases and projects incorporating big data and Spark tools as part of the solution strategy. Additionally, all your doubts will be addressed by industry professionals currently working on real-life big data and analytics projects.

What skills will you learn with our PySpark Certification Training in Hyderabad?

Edureka’s PySpark Training in Hyderabad is curated by industry experts and helps you become a Spark developer. During this course, our expert instructors will train you to:

Master the concepts of HDFS
Understand Hadoop 2.x Architecture
Understand Spark and its Ecosystem
Implement Spark operations on Spark Shell
Implement Spark applications on YARN (Hadoop)
Write Spark Applications using Spark RDD concepts
Learn data ingestion using Sqoop
Perform SQL queries using Spark SQL
Implement various machine learning algorithms using Spark MLlib API
Explain Kafka and its components
Understand Flume and its components
Integrate Kafka with real-time streaming systems like Flume
Use Kafka to produce and consume messages
Use Spark Streaming for stream processing of live data
Build Spark Streaming Application
Process Multiple Batches in Spark Streaming
Implement different streaming data sources
Solve multiple real-life industry-based use cases which will be executed using Edureka’s CloudLab

Who should take this PySpark Course in Hyderabad?

The market for Big Data Analytics is growing tremendously across the world, and the strong growth pattern followed by market demand is a great opportunity for all IT professionals. Here are a few professional IT groups who are continuously enjoying the benefits and perks of moving into the Big Data domain:

Developers and Architects
BI /ETL/DW Professionals
Senior IT Professionals
Testing Professionals
Mainframe Professionals
Freshers
Big Data Enthusiasts
Software Architects, Engineers, and Developers
Data Scientists and Analytics Professionals

How will PySpark Certification Training in Hyderabad help your career?

The statistics provided below will give you a glimpse of the growing popularity and adoption rate of Big Data tools like Spark in the current as well as upcoming years:

56% of enterprises will increase their investment in Big Data over the next three years – Forbes
The average salary of Spark Developers is $113k
According to a McKinsey report, US alone will deal with shortage of nearly 190,000 data scientists and 1.5 million data analysts and Big Data managers by 2025

As you know, nowadays, many organizations are showing interest in Big Data and are adopting Spark as part of their solution strategy. The demand for jobs in Big Data and Spark is rising rapidly. So, it is high time to pursue your career in the field of Big Data & Analytics with our PySpark Certification Training Course in Hyderabad.

What are the prerequisites for Edureka's PySpark Online Course in Hyderabad?

There are no specific prerequisites for our PySpark Certification Training in Hyderabad. However, prior knowledge of Python Programming and SQL will be helpful but is not mandatory.

How will I execute the practicals in this PySpark Certification Training in Hyderabad?

You will execute all your PySpark Course Assignments/Case Studies in the Cloud LAB environment provided by Edureka. You will access the Cloud LAB via a browser. In case of any doubts, Edureka’s Support Team will be available 24/7 for prompt assistance.

What is CloudLab?

CloudLab is a cloud-based Spark and Hadoop environment that Edureka offers with the PySpark Training Course in Hyderabad. It allows you to execute all the in-class demos and work on real-life Spark case studies fluently. This will not only save you from the trouble of installing and maintaining Spark and Python on a virtual machine but will also provide you with an experience of a real big data and Spark production cluster. You can access the Spark Training CloudLab via your browser, which requires minimal hardware configuration. In case you get stuck at any step, our support team is ready to assist 24/7.

What are the system requirements for the PySpark Training Course in Hyderabad?

You don't have to worry about the system requirements as you will be executing your practicals on a Cloud LAB, which is a pre-configured environment. This environment already contains all the necessary tools and services required for Edureka's PySpark Training in Hyderabad.

PySpark Certification Course Projects in Hyderabad

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....

View Project Details

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 ....

View Project Details

PySpark Certification in Hyderabad

To unlock Edureka’s PySpark Training course completion certificate, you must ensure the following:

Fully participate in this PySpark Certification Training Course in Hyderabad.
Complete the assessments and projects listed.

Big Data is everywhere, and there is an urgent need to collect and preserve the data being generated to avoid missing out on something important. That's why Big Data Analytics is at the forefront of IT and has become crucial for improving business decision-making and gaining a competitive edge. Technology professionals experienced in Analytics are in high demand as organizations seek ways to leverage the power of Big Data. The number of job postings related to Analytics has significantly increased over the last 12 months. This surge is due to the growing number of organizations implementing Analytics and, consequently, seeking Big Data Analytics professionals. Despite the high demand, there is still a large number of unfilled jobs worldwide due to a shortage of required skills. Choosing a career in the field of Big Data and Analytics can be a fantastic career move and could be the role you've been looking for.

Beginners can easily become familiar with PySpark as it is a user-friendly framework. However, to learn its capabilities and functionality, appropriate guidance and a well-structured training path are required. Beginners interested in a career in Big Data Analytics can sign up for our training and earn certificates to demonstrate their expertise in this domain.

PySpark Certification in Hyderabad holds global recognition as a popular framework for analyzing and processing real-time data. The demand for PySpark training in Hyderabad is on the rise, and there are many profitable employment opportunities in tech organizations, making it the ideal time for candidates to enroll and earn certification. Due to the wide range of job options and prospects, learning PySpark skills and starting work right away is highly recommended.

Our PySpark certification course in Hyderabad is designed to develop skills and evaluate candidates' knowledge. PySpark is currently the most advanced technology globally, opening the door to many possibilities for professionals seeking growth in the Big Data Analytics field. After completing this certification, you will have access to a wide range of job opportunities and be prepared for roles such as Big Data Developer, Big Data Engineer, Big Data Analyst, and many more.

Please visit the page which will guide you through the top Apache Spark Interview questions and answers.

Apache Spark Developer using Python Certificate

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PySpark Training in Hyderabad FAQs

What is PySpark?

PySpark is a combination of Python and Apache Spark. Apache Spark is an open-source real-time in-memory cluster processing framework used in streaming analytics systems like bank fraud detection and recommendation systems. Python, on the other hand, is a general-purpose, high-level programming language with a wide range of libraries supporting diverse applications. PySpark provides a Python API for Spark, allowing you to leverage the simplicity of Python and the power of Apache Spark to handle Big Data.

What if I have queries after completing this PySpark course in Hyderabad?

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 of PySpark training in Hyderabad?

"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 PySpark certification course in Hyderabad?

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 PySpark certification training in Hyderabad?

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 in this Best PySpark Course in Hyderabad?

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 for this PySpark online training in Hyderabad?

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.

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

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

What is the fee of the PySpark Training course in Hyderabad?

Our PySpark course cost is INR 21,995 in Hyderabad.

What is RDD in PySpark?

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

Is PySpark a language?

PySpark is not a language itself. PySpark is the Python API for Apache Spark, which allows Python developers to harness the power of Apache Spark and create in-memory processing applications. PySpark is specifically developed to cater to the large Python community.

What is the salary of a Pyspark Developer Hyderabad?

The average salary range according to Ambitionbox is ₹6.4 Lakhs to ₹8.5 L, and it depends on hands-on experience and skills.

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