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Added Apache Spark and Databricks course with landing page
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Raghu Raman Bhattathirippad
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Feb 16, 2025
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<!DOCTYPE html> | ||
<html lang="en"> | ||
<head> | ||
<meta charset="UTF-8"> | ||
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | ||
<title>Apache Spark and Databricks for Beginners - ITVersity</title> | ||
<link rel="stylesheet" href="../styles.css"> | ||
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css"> | ||
</head> | ||
<body> | ||
<header> | ||
<nav> | ||
<div class="logo">ITVersity</div> | ||
<ul class="nav-links"> | ||
<li><a href="../index.html">Home</a></li> | ||
<li><a href="../index.html#services">Services</a></li> | ||
<li><a href="../index.html#courses">Courses</a></li> | ||
<li><a href="../index.html#locations">Locations</a></li> | ||
<li><a href="../index.html#contact">Contact</a></li> | ||
</ul> | ||
</nav> | ||
</header> | ||
|
||
<section class="course-hero spark-hero"> | ||
<div class="hero-content"> | ||
<h1>Apache Spark and Databricks for Beginners</h1> | ||
<p>Learn big data processing with Apache Spark and master the Databricks platform</p> | ||
<a href="../index.html#contact" class="cta-button">Enroll Now</a> | ||
</div> | ||
</section> | ||
|
||
<section class="course-details"> | ||
<div class="container"> | ||
<h2>Course Overview</h2> | ||
<div class="course-grid"> | ||
<div class="course-info"> | ||
<h3>What You'll Learn</h3> | ||
<ul> | ||
<li><i class="fas fa-check"></i> Apache Spark architecture and components</li> | ||
<li><i class="fas fa-check"></i> Databricks workspace and notebooks</li> | ||
<li><i class="fas fa-check"></i> Data processing with Spark SQL</li> | ||
<li><i class="fas fa-check"></i> Spark DataFrames and Datasets</li> | ||
<li><i class="fas fa-check"></i> Machine learning with MLlib</li> | ||
<li><i class="fas fa-check"></i> Stream processing fundamentals</li> | ||
<li><i class="fas fa-check"></i> Delta Lake for reliable data lakes</li> | ||
<li><i class="fas fa-check"></i> Performance optimization and monitoring</li> | ||
</ul> | ||
</div> | ||
<div class="course-features"> | ||
<h3>Course Features</h3> | ||
<div class="feature-cards"> | ||
<div class="feature-card"> | ||
<i class="fas fa-clock"></i> | ||
<h4>Duration</h4> | ||
<p>10 Weeks</p> | ||
</div> | ||
<div class="feature-card"> | ||
<i class="fas fa-video"></i> | ||
<h4>Format</h4> | ||
<p>Live Online Classes</p> | ||
</div> | ||
<div class="feature-card"> | ||
<i class="fas fa-certificate"></i> | ||
<h4>Certificate</h4> | ||
<p>Industry Recognized</p> | ||
</div> | ||
<div class="feature-card"> | ||
<i class="fas fa-users"></i> | ||
<h4>Batch Size</h4> | ||
<p>Maximum 15 Students</p> | ||
</div> | ||
</div> | ||
</div> | ||
</div> | ||
</div> | ||
</section> | ||
|
||
<section class="course-curriculum"> | ||
<div class="container"> | ||
<h2>Curriculum</h2> | ||
<div class="curriculum-weeks"> | ||
<div class="week"> | ||
<h3>Week 1-2: Foundations</h3> | ||
<ul> | ||
<li>Introduction to Big Data and Spark</li> | ||
<li>Spark architecture and components</li> | ||
<li>Setting up Databricks workspace</li> | ||
<li>Working with Databricks notebooks</li> | ||
</ul> | ||
</div> | ||
<div class="week"> | ||
<h3>Week 3-4: Data Processing</h3> | ||
<ul> | ||
<li>Spark SQL and DataFrames</li> | ||
<li>Data transformation and aggregation</li> | ||
<li>Working with different data formats</li> | ||
<li>Performance optimization techniques</li> | ||
</ul> | ||
</div> | ||
<div class="week"> | ||
<h3>Week 5-7: Advanced Features</h3> | ||
<ul> | ||
<li>Machine learning with MLlib</li> | ||
<li>Stream processing basics</li> | ||
<li>Delta Lake fundamentals</li> | ||
<li>Data quality and testing</li> | ||
</ul> | ||
</div> | ||
<div class="week"> | ||
<h3>Week 8-10: Production & Projects</h3> | ||
<ul> | ||
<li>Production deployment patterns</li> | ||
<li>Monitoring and optimization</li> | ||
<li>Best practices and patterns</li> | ||
<li>Capstone project</li> | ||
</ul> | ||
</div> | ||
</div> | ||
</div> | ||
</section> | ||
|
||
<section class="course-projects"> | ||
<div class="container"> | ||
<h2>Industry Projects</h2> | ||
<div class="project-cards"> | ||
<div class="card"> | ||
<img src="https://images.unsplash.com/photo-1551288049-bebda4e38f71?ixlib=rb-1.2.1&auto=format&fit=crop&w=800&q=80" alt="Data Analysis Project" class="project-image"> | ||
<i class="fas fa-chart-line"></i> | ||
<h3>Data Analysis Pipeline</h3> | ||
<p>Build an end-to-end data analysis pipeline using Spark</p> | ||
</div> | ||
<div class="card"> | ||
<img src="https://images.unsplash.com/photo-1518186285589-2f7649de83e0?ixlib=rb-1.2.1&auto=format&fit=crop&w=800&q=80" alt="ML Project" class="project-image"> | ||
<i class="fas fa-brain"></i> | ||
<h3>ML Model Deployment</h3> | ||
<p>Deploy machine learning models using MLlib</p> | ||
</div> | ||
<div class="card"> | ||
<img src="https://images.unsplash.com/photo-1558494949-ef010cbdcc31?ixlib=rb-1.2.1&auto=format&fit=crop&w=800&q=80" alt="Streaming Project" class="project-image"> | ||
<i class="fas fa-stream"></i> | ||
<h3>Real-time Analytics</h3> | ||
<p>Build a real-time analytics dashboard</p> | ||
</div> | ||
</div> | ||
</div> | ||
</section> | ||
|
||
<footer> | ||
<div class="footer-content"> | ||
<div class="footer-section"> | ||
<h4>ITVersity, Inc</h4> | ||
<p>Empowering careers through quality education</p> | ||
</div> | ||
<div class="footer-section"> | ||
<h4>Quick Links</h4> | ||
<ul> | ||
<li><a href="../index.html">Home</a></li> | ||
<li><a href="../index.html#courses">All Courses</a></li> | ||
<li><a href="../index.html#contact">Contact</a></li> | ||
</ul> | ||
</div> | ||
<div class="footer-section"> | ||
<h4>Connect With Us</h4> | ||
<div class="social-links"> | ||
<a href="#"><i class="fab fa-linkedin"></i></a> | ||
<a href="#"><i class="fab fa-twitter"></i></a> | ||
<a href="#"><i class="fab fa-facebook"></i></a> | ||
</div> | ||
</div> | ||
</div> | ||
<div class="footer-bottom"> | ||
<p>© 2024 ITVersity, Inc. All rights reserved.</p> | ||
</div> | ||
</footer> | ||
</body> | ||
</html> |
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