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Python Apache Spark Certification with an Extra Boost Course.

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Empower Your Cloud Journey with Python Excellence.

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    Dynamic Online Learning with Virejetech Certified Instructors.

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    Interactive Skill-building and Educational Assistance

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    Interview Readiness Guide + Mock Sessions

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    Placement Assistance Guide

Holistic Learning Pathway

"Advance your career with our holistic App Development Program, meticulously designed to cultivate the skills of a modern app developer. This sought-after course covers key modules, including App Development Foundations and Techniques, providing extensive exposure to diverse domains. Empower yourself with cutting-edge tools for Visualization and Insights, ensuring a well-rounded skill set in the dynamic field of app development."

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25 hrs

Learning content

Python Programming in Apache Spark
Module1: Introduction to Apache Spark
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    • 1.1.What is Big Data?
       
    • 1.1.1. Definition and Characteristics
       
    • 1.2.Introduction to Spark
       
    • 1.2.1. Spark vs. Hadoop
       
Module 2:Spark Fundamentals
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    • 1.1.What is Big Data?
       
    • 1.1.2. Challenges of Big Data
       
    • 1.2.Introduction to Spark
       
    • 1.2.2. Spark's Role in Big Data
       
Module 3:Spark Data Processing
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    • 3.1.Loading Data into Spark
       
    • 3.1.1. Reading from Various Data Sources
       
    • 3.1.2. Streaming Data into Spark
       
    • 3.2.Data Transformation
       
    • 3.2.1. Map, Filter, and Reduce Operations
       
    • 3.2.2. Joins and Aggregations
       
    • 3.3.Caching and Persistence
       
Module 4:Advanced Spark Concepts
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    • 4.1. Spark SQL
       
    • 4.1.1. Introduction to Spark SQL
       
    • 4.1.2. Running SQL Queries in Spark
       
    • 4.2.Streaming with Spark
       
Module 5:Spark Ecosystem
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    • 5.1.Graph Processing with GraphX
       
    • 5.1.1. GraphX Introduction
       
    • 5.1.2. Graph Algorithms
       
    • 5.2.Cluster Computing with Spark Cluster Managers
       
Module 6: Spark Development and Deployment
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    • 6.1.Spark Development Environment
       
    • 6.1.1. Setting Up Spark Locally
       
    • 6.1.2. Integrated Development Environments (IDEs)
       
    • 6.2.Packaging and Deploying Spark Applications
       
    • 6.2.1. Building JAR Files
       
Module 7:Spark Administration and Optimization
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    • 7.1.Cluster Monitoring and Management
       
    • 7.1.1. Monitoring Spark Cluster
       
    • 7.2.Performance Tuning
       
    • 7.2.1. Identifying Bottlenecks
       
Module 8:Real-World Spark Use Cases
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    • 8.1.Real-World Applications
       
    • 8.1.1. Spark in Industry
       
    • 8.2.Best Practices
       
    • 8.2.1. Data Pipeline Design
       
Module 9:Final Project and Course Review
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    • 9.1.Project Proposal and Planning
       
    • 9.2.Implementation and Presentation
       
    • 9.2.1. Building and Deploying the Solution
       
Resume building and Mock interviews

Guidance from Experts and Mentors

Comprehensive Course Offerings: Elevate Your Learning Journey with Expert-Led Programs.

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Rogers Russ

Bachelor of Technology.

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Kumar

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John

Bachelor of Technology

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Rogers Russ

Bachelor of Technology

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Sam

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