- Introduction
- Azure Free Trail Signup
- Azure Resource Group Setup Guide
- ADLS Gen2 Storage Account Creation
- Setup ADLS Gen2 Storage Container
- Create Azure Data Factory Pipeline
- Azure Databricks Instance Configuration
- PySpark: Storage Authorization & Dataset Loading
- PySpark Data Analysis Part 1
- PySpark Data Analysis Part 2
- Building Book Recommendation System ML Model
- Download The Project Files
What you'll 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.
Description
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.
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About the instructors
- 4.03 Calificación
- 77564 Estudiantes
- 22 Cursos
Pianalytix • 75,000+ Students Worldwide
Projects in Data Science, Machine Learning, Power BI, & More
At Pianalytix Edutech Pvt Ltd, we are dedicated to revolutionizing education through innovative methodologies. With a reach spanning over 80,000 students, we're committed to providing an immersive learning experience that goes beyond traditional teaching approaches. Our real-world project-oriented methodology ensures that students not only understand theoretical concepts but also gain practical skills that are directly applicable in the workplace.
By combining cutting-edge technology with project-based learning, we empower individuals to master Data Science, Machine Learning, Python, Power BI, Tableau, Data Engineering, and more. Our goal is to add value to the lives of 1 million students by equipping them with the knowledge and skills needed to succeed in today's competitive job market.
Moreover, we extend our expertise to businesses, leveraging the power of Artificial Intelligence to optimize processes, enhance efficiency, and drive profitability. Join us at Pianalytix Edutech Pvt Ltd as we redefine education and empower individuals and businesses to thrive in the digital age.
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