PySpark Certification Online Training
This PySpark online course will teach you how to use Spark from Python. A spark is a method for handling parallel computation with large datasets that work well with Python. PySpark is the Python unit that causes the rapture to occur. This Apache Spark Developer course will assist you in developing critical, in-demand Apache Spark skills and gaining a competitive edge for an exciting career as a Spark Developer.
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4.8/5
6,028 Reviews
174 Reviews
440 Reviews
Course Duration
HrsLive Project
ProjectCertification Pass
GuaranteedTraining Format
Live Online (Expert Trainers)WatchLive Classes
Professionals Trained
Batches every month
Placed Students
Corporate Served
PySpark Certification Training Objectives
- Certainly Yes. PySpark Certification is the language to start learning, even if you are not sure about your career path. PySpark Certification is most successful in server-side and web-applications, where PySpark Certification alone is not sufficient, hence you may need to add more skills such as PySpark Certificationscript, serverside PySpark Certificationscript etc...
- we will learn about the popularity of PySpark along with its latest Salary Trends. Moreover, we will discuss who should learn PySpark. Along with this, we will discuss PySpark Jobs. As we know, we were using Spark with Scala originally but over the years, engineers have also started integrating PySpark with Spark. Many companies are adopting PySpark very rapidly. That says Career in PySpark and PySpark Jobs are increasing day by day. So, let’s start exploring PySpark Career.
- Career progression opportunities for individuals who become PySpark Certification developers are excellent
- The future of PySpark is very bright. Most of the people who work with Hadoop are using PySpark. The reason for that is, PySpark is a library of Python that makes work in Hadoop very easy. Another advantage with PySpark is it uses Python as a programming language. You will have a look you will find that almost 99% of Industries prefer PySpark. Here is a free YouTube video tutorial which you can follow to learn Pyspark in a much better way:
- Certainly Yes. Even the recruiters know the knowledge we get in colleges is not enough to do a software job. They will see how confident you are. However they will train you according to their requirement once you get into the company.
- Apache Spark is the most powerful, flexible, and a standard for in-memory data computation capable enough to perform Batch-Mode, Real-time and Analytics on the Hadoop Platform. This integrated part of Cloudera is the highest-paid and trending technology in the current IT market.
Our course is designed to give a hands-on approach to the students in PySpark Certification. The course is made up of Both theoretical & Practical classes that teach the basics of each module followed by high-intensity practical sessions of Completing Each Module that Related current challenges and needs of the industry that will demand the students’ time and commitment.
- In this era of Artificial intelligence, machine learning, and data science, algorithms that run on Distributed Iterative computation make the task of distributing and computing huge volumes of data easy. Spark is a lightning fast, in-memory, cluster computing framework that can be used for a variety of purposes. This JVM based open source framework can be used for processing and analyzing huge volumes of data and at the same time can be used to distribute data over a cluster of machines. It is designed in such a way that it can perform batch and stream processing and hence is known as a cluster computing platform. Scala is the language in which Spark is developed. Scala is a powerful and dynamic programming language that doesn’t compromise on type safety.
- LearnoVita has been actively involved in 100% Job Placement Assistance as a value-added service in the Technical Program. With the backup of an advanced training curriculum and real-time business projects, we have a very consistent and growing Job Placement and Track Record.
- Beginner & Advanced level Classes.
- Hands-On Learning in Apache Spark.
- Best Practice for interview Preparation Techniques in Apache Spark.
- Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
- Affordable Fees with Best curriculum Designed by Industrial Apache Spark Expert.
- Delivered by 9+ years of Apache Spark Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
- Please note knowledge enough, no need experience to learn Scala. You can implement spark applications using scala, java or python, but scala recommended. Now Bigdata in bigdata, most popular old framework is Hadoop. Hadoop knowledge also highly recommended to learn Spark, but no need to learn mapreduce.
- Programming is simply based on logic. If you have the great sense of logic, you can start with virtually any language, along with.Net, Java etc. When it comes to readability of code, PYTHON is one of the easiest languages as it needs fewer lines of code. You can easily start if you have some basic know-how of English and mathematics.
After this training, the significant areas where you excel are as follows:
- Overview of Big Data & Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) Comprehensive knowledge of various tools that falls in Spark Ecosystem like Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming.
The training is perfect for the below job positions:
- Software developers
- Web designers
- Programming enthusiasts
- Engineering graduates
- Students who all want to become PySpark Certification developers
- PySpark Certification is widely used to develop cutting-edge and customized applications for web or mobile platforms and is the stepping stone for individuals hoping to advance their mobile development careers.
- Apache Spark is a fascinating platform for data scientists with use cases spanning across investigative and operational analytics. Data scientists are exhibiting interest in working with Spark because of its ability to store data resident in memory that helps speed up machine learning workloads unlike Hadoop MapReduce.
- The demand for certified PySpark Certification developers is always higher, with salaries averaging more than $ 125,000 per year.
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Top Companies Placement
The Pyspark Developers integrate, optimize and maintain the machine learning models generated by the Data Scientist and deploy, monitoring staging production pipelines to apply generalization techniques for the product of code used in various resources. Build Scalable solution in any of the cloud platforms includes AWS, Azure etc., are often rewarded with substantial pay raises shown below.
- Designation
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Annual SalaryHiring Companies
Top Skills You Will Gain
- Big Data Hadoop and Spark
- Python for Apache Spark and Streaming
- Apache Spark Data Source
- Deep Dive into Spark MLlib
- DataFrames and Spark SQL
- Playing with Spark RDD
- Functions and Modules in Python
- Machine Learning using Spark MLlib
Online Classroom Batches Preferred
Monday (Mon - Fri)
17-Mar-2025
08:00 AM (IST)
Wednesday (Mon - Fri)
19-Mar-2025
08:00 AM (IST)
Saturday (Sat - Sun)
22-Mar-2025
11:00 AM (IST)
Saturday (Sat - Sun)
23-Mar-2025
11:00 AM (IST)
Can't find a batch you were looking for?
₹21000
₹16000
10% OFF Expires in
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
PySpark Certification Course Curriculam
Trainers Profile
Trainers are certified professionals with 9+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from PySpark Certification Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Syllabus of PySpark Certification Online Course Download syllabus
- 1. What is Big Data?
- 2. Big Data Customer Scenarios
- 3. Limitations and Solutions of Existing Data Analytics Architecture with Uber Use Case
- 4. How Hadoop Solves the Big Data Problem?
- 5. What is Hadoop?
- 6. Hadoop’s Key CharLearnoVitaristics
- 7. Hadoop Ecosystem and HDFS
- 8. Hadoop Core Components
- 9. Rack Awareness and Block Replication
- 10. YARN and its Advantage
- 11. Hadoop Cluster and its Architecture
- 12. Hadoop: Different Cluster Modes
- 13. Big Data Analytics with Batch & Real-Time Processing
- 14. Why Spark is Needed?
- 15. What is Spark?
- 16. How Spark Differs from its Competitors?
- 17. Spark at eBay
- 18. Spark’s Place in Hadoop Ecosystem
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- 1. Overview of Python
- 2. Different Applications where Python is Used
- 3. Values, Types, Variables
- 4. Operands and Expressions
- 5. Conditional Statements
- 6. Loops
- 7. Command Line Arguments
- 8. Writing to the Screen
- 9. Python files I/O Functions
- 10. Numbers
- 11. Strings and related operations
- 12. Tuples and related operations
- 13. Lists and related operations
- 14. Dictionaries and related operations
- 15. Sets and related operations
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- 1. Functions
- 2. Function Parameters
- 3. Global Variables
- 4. Variable Scope and Returning Values
- 5. Lambda Functions
- 6. Object-Oriented Concepts
- 7. Standard Libraries
- 8. Modules Used in Python
- 9. The Import Statements
- 10. Module Search Path
- 11. Package Installation Way
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- 1. Spark Components & its Architecture
- 2. Spark Deployment Modes
- 3. Introduction to PySpark Shell
- 4. Submitting PySpark Job
- 5. Spark Web UI
- 6. Writing your first PySpark Job Using Jupyter Notebook
- 7. Data Ingestion using Sqoop
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- 1. Challenges in Existing Computing Methods
- 2. Probable Solution & How RDD Solves the Problem
- 3. What is RDD, It’s Operations, Transformations & Actions
- 4. Data Loading and Saving Through RDDs
- 5. Key-Value Pair RDDs
- 6. Other Pair RDDs, Two Pair RDDs
- 7. RDD Lineage
- 8. RDD Persistence
- 9. WordCount Program Using RDD Concepts
- 10. RDD Partitioning & How it Helps Achieve Parallelization
- 11. Passing Functions to Spark
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- 1. Need for Spark SQL
- 2. What is Spark SQL
- 3. Spark SQL Architecture
- 4. SQL Context in Spark SQL
- 5. Schema RDDs
- 6. User Defined Functions
- 7. Data Frames & Datasets
- 8. Interoperating with RDDs
- 9. JSON and Parquet File Formats
- 10. Loading Data through Different Sources
- 11. Spark-Hive Integration
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- 1. Why Machine Learning
- 2. What is Machine Learning
- 3. Where Machine Learning is used
- 4. Different Types of Machine Learning Techniques
- 5. Introduction to MLlib
- 6. Features of MLlib and MLlib Tools
- 7. Various ML algorithms supported by MLlib
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- 1. Supervised Learning: Linear Regression, Logistic Regression, Decision Tree, Random Forest
- 2. Unsupervised Learning: K-Means Clustering & How It Works with MLlib
- 3. Analysis of US Election Data using MLlib (K-Means)
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- 1. Need for Kafka
- 2. What is Kafka
- 3. Core Concepts of Kafka
- 4. Kafka Architecture
- 5. Where is Kafka Used
- 6. Understanding the Components of Kafka Cluster
- 7. Configuring Kafka Cluster
- 8. Kafka Producer and Consumer Java API
- 9 Need of Apache Flume
- 10. What is Apache Flume
- 11. Basic Flume Architecture
- 12. Flume Sources
- 13. Flume Sinks
- 14. Flume Channels
- 15. Flume Configuration
- 16. Integrating Apache Flume and Apache Kafka
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- 1. Drawbacks in Existing Computing Methods
- 2. Why Streaming is Necessary
- 3 .What is Spark Streaming
- 4. Spark Streaming Features
- 5. Spark Streaming Workflow
- 6. How Uber Uses Streaming Data
- 7. Streaming Context & DStreams
- 8. Transformations on DStreams
- 9. Describe Windowed Operators and Why it is Useful
- 10. Important Windowed Operators
- 11. Slice, Window and ReduceByWindow Operators
- 12. Stateful Operators
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- 1. Apache Spark Streaming: Data Sources
- 2. Streaming Data Source Overview
- 3. Apache Flume and Apache Kafka Data Sources
- 4. Example: Using a Kafka Direct Data Source
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- 1. Introduction to Spark GraphX
- 2. Information about a Graph
- 3. GraphX Basic APIs and Operations
- 4. Spark GraphX Algorithm - PageRank, Personalized PageRank, Triangle Count, Shortest Paths, Connected Components, Strongly Connected Components, Label Propagation
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Phone (For Voice Call):
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Exam & Certification
At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training.
Online Classroom:
- Participate and Complete One batch of PySpark Certification Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the PySpark Certification Certification course
- Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your PySpark Certification Training course. It helps you to prepare for the actual PySpark Certification Certification exam. You can try this free PySpark Certification Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s PySpark Certification Certification Path.
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for PySpark Certification Developers.
Our Student Successful Story
Regular 1:1 Mentorship From Industry Experts
Live Classes
Career Support
Sandeep Kumar D
Software Engineer, Cisco Systems )
It was a great learning experience. The trainer had provided relevant examples truly enjoyed the sessions, I wholeheartedly thank Training & Placement Cell for the constant support
Vinoth P
UI Developer, TCS
I would like to appreciate the placement cell at LearnoVita for the efforts they made for providing a fair and ample amount of chances to me. boot-camps and extra classes for us to enhance our technical and interpersonal skills.
Vijeyalakshme kannan
QA Engineer, Amazon Development Center
I feel great studying at LearnoVita and getting the great opportunity as well as support from faculties & placement officers. It is dream come true, being an IT engineer
Pranav Srinivas
Software Testing, Capgemini
My sincere appreciation & gratitude to the Training & Placement Department and all staff of LearnoVita for their efforts in imparting quality technical and aptitude training. I am very grateful to them for effectively and sincerely helping me to grab the first-ever opportunity that came into my life.
Prasanna
SAP Admin, HCL
I am very thankful to the faculties of LearnoVita as they are very much supportive, helpful, and the Placement Cell which is also doing a great job by arranging excellent placements of MNCs & good corporate exposure is given to students.
PySpark Certification Course FAQ's
LearnoVita Offers the Best Discount Price for you CALL at +91 93833 99991 and know the Exciting offers Available for you!!!
Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how are the classes conducted, the quality of instructors, and the level of interaction in the class.
All Our instructors are working professionals from the Industry, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
- LearnoVita will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
- On Successfully Completing a Career Course with LearnoVita, you Could be Eligible for Job Placement Assistance.
- 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
- LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
- More than 5400+ students placed in last year in India & Globally.
- LearnoVita Conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
- 85% percent placement record
- Our Placement Cell support you till you get placed in better MNC
- Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
After Your Course Completion You will Receive
- LearnoVita Certification is Accredited by all major Global Companies around the World.
- LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS.
- Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, 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.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
At LearnoVita you can enroll in either the instructor-led Online Training, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
- We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.
Just give us a CALL at +91 9383399991 OR email at contact@learnovita.com
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question After Once You Have Enrolled.
We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each PySpark Certification batch to 5 or 6 members
Learning PySpark Certification can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in PySpark Certification. Mastering PySpark Certification can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
The Average PySpark Certification Developer salary in India is ₹4,43,568 per annum.
You can contact our support number at +91 93800 99996 / Directly can do by LearnoVita E-commerce payment system Login or directly walk-in to one of the LearnoVita branches in India.
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