Book Recommendations: PySpark, Databricks, Azure Project
Book Recommendations: PySpark, Databricks, Azure Project, available at Free, has an average rating of 4.84, with 14 lectures, based on 47 reviews, and has 1111 subscribers.
You will learn about Setting up Azure resources for big data projects. Utilizing Azure Data Factory for pipeline creation. Configuring Azure Databricks for efficient data processing. Performing hands-on data analysis with PySpark. Implementing storage authorization and dataset loading. Building a comprehensive book recommendation system. Exploring practical data preprocessing techniques. This course is ideal for individuals who are Anyone who wants to build big data project. It is particularly useful for Anyone who wants to build big data project.
Enroll now: Book Recommendations: PySpark, Databricks, Azure Project
Summary
Title: Book Recommendations: PySpark, Databricks, Azure Project
Price: Free
Average Rating: 4.84
Number of Lectures: 14
Number of Published Lectures: 14
Number of Curriculum Items: 14
Number of Published Curriculum Objects: 14
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Setting up Azure resources for big data projects.
- Utilizing Azure Data Factory for pipeline creation.
- Configuring Azure Databricks for efficient data processing.
- Performing hands-on data analysis with PySpark.
- Implementing storage authorization and dataset loading.
- Building a comprehensive book recommendation system.
- Exploring practical data preprocessing techniques.
Who Should Attend
- Anyone who wants to build big data project.
Target Audiences
- Anyone who wants to build big data project.
In today’s data-driven world, the importance of learning Big Data cannot be overstated. Big Data refers to massive volumes of structured and unstructured data that inundate organizations on a daily basis. Understanding and harnessing this data is critical for businesses to stay competitive and drive innovation.
By learning Big Data, individuals gain the ability to extract valuable insights from large and complex datasets, enabling informed decision-making and strategic planning. With the right tools and techniques, businesses can uncover hidden patterns, trends, and correlations within their data, leading to more accurate predictions and actionable insights.
Moreover, Big Data technologies empower organizations to optimize operations, enhance customer experiences, and create new revenue streams. From personalized recommendations on e-commerce platforms to predictive maintenance in manufacturing, the applications of Big Data are diverse and far-reaching.
Proficiency in Big Data tools and frameworks such as Apache Spark, and PySpark is increasingly sought after in today’s job market. Employers across industries are actively seeking professionals who can analyze, process, and derive insights from large datasets.
In essence, learning Big Data is not just a skill; it’s a necessity for individuals and organizations looking to thrive in the digital age. It opens doors to new opportunities, drives innovation, and empowers data-driven decision-making at scale.
Course Curriculum
Chapter 1: Introduction to Big Data
Lecture 1: Introduction to Big Data
Lecture 2: Understanding Distributed File Systems Architecture
Chapter 2: PySpark Data Analysis and Book Recommendation System Project
Lecture 1: Introduction
Lecture 2: Azure Free Trail Signup
Lecture 3: Azure Resource Group Setup Guide
Lecture 4: ADLS Gen2 Storage Account Creation
Lecture 5: Setup ADLS Gen2 Storage Container
Lecture 6: Create Azure Data Factory Pipeline
Lecture 7: Azure Databricks Instance Configuration
Lecture 8: PySpark: Storage Authorization & Dataset Loading
Lecture 9: PySpark Data Analysis Part 1
Lecture 10: PySpark Data Analysis Part 2
Lecture 11: Building Book Recommendation System ML Model
Lecture 12: Download The Project Files
Instructors
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Pianalytix • 75,000+ Students Worldwide
Projects in Data Science, Machine Learning, Power BI, & More
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 3 votes
- 5 stars: 42 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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