Spark Programming in Python for Beginners - Apache Spark 3

Unlock the Power of Apache Spark 3

4.17 (3 reviews)
Udemy
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English
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Spark Programming in Python for Beginners - Apache Spark 3
13
students
2.5 hours
content
Jul 2023
last update
$34.99
regular price

What you will learn

Basic knowledge of Apache Spark

Apache Spark installation and configuration on local machine as well as on cloud

How to use Spar-shell

Installation of multi-node cluster on Google Cloud Platform

Using clusters in notebooks

Creating and configuring spark session

Creating Spark project Build Configuration

Configuring spark application logs

How to load different file formats in Dataframe

Dataframe and Data sets transformations

Aggregations in spark

Spark Dataframe Joins

Why take this course?

πŸš€ **Course Title:** Spark Programming in Python for Beginners - Apache Spark 3 🌟 **Course Headline:** Unlock the Power of Apache Spark 3 with Our Comprehensive Beginner's Course! --- **Dive into the World of Big Data Processing with Apache Spark 3 and Python!** Welcome to the Apache Sparkβ„’ journey for beginners! This course is your gateway to mastering one of the most powerful big data processing frameworks available today. Designed to cater to students, professionals, and non-technical individuals interested in harnessing the capabilities of Apache Spark, this course will guide you through creating a robust Data Engineering pipeline and application, from the basics to advanced concepts. πŸ‘©β€πŸ’» **Why Take This Course?** Our course is crafted for those who aspire to build Apache Spark-based data engineering projects or are looking to grow their expertise in data processing and analytics. Data architects, engineers, and even managers and architects will find this course incredibly valuable as it provides a collaborative understanding of how Apache Spark functions within a data-centric architecture. --- **Engage with Hands-On Learning through Practical Labs!** πŸ§ͺ **Hands-On Learning Experience:** The Spark Programming in Python course is a practical, hands-on course that involves approximately 22 labs. These labs are designed to take you from the foundational concepts of Apache Spark to more complex operations and real-world applications. You'll engage with each concept through interactive labs that will solidify your understanding and give you hands-on experience. --- **Who Should Enroll in This Course?** This course is ideal for: - **Software Developers:** Aspiring to create Apache Spark-based data engineering pipelines and applications. - **Data Architects/Engineers:** In charge of designing scalable big data solutions using Apache Spark. - **Managers and Architects:** Seeking a deeper understanding of Apache Spark's role in their projects. --- **Course Requirements & Prerequisites:** Before jumping into Apache Spark, ensure you meet these requirements: - **Basic Programming Knowledge Using Python Language:** Familiarity with Python will help you grasp the concepts more easily. - **A Recent 64-bit Windows/Mac/Linux Machine with 8 GB RAM:** To execute and test your Apache Spark applications smoothly. --- **What You Will Learn:** Join us in this course, and by the end of it, you'll be proficient in: - **Apache Spark Basics:** Gain a solid understanding of what Spark is and how it can transform your data processing tasks. - **Spark Installation & Configuration:** Learn how to set up Apache Spark on both local machines and cloud environments like Google Cloud Platform. - **Spark-shell Usage:** Get comfortable with the powerful Spark-shell interface for testing Spark applications. - **Multi-node Cluster Installation:** Understand how to install and manage a multi-node cluster to handle larger datasets. - **Working with Notebooks:** Explore the use of notebooks for working with clusters and running Spark jobs. - **Spark Session Configuration:** Master the art of configuring a Spark session, which is crucial for running Spark applications. - **Build Configuration for Spark Applications:** Learn how to set up build configurations for your Apache Spark applications. - **Logging Configuration for Spark Applications:** Understand how to configure application logs for better monitoring and debugging. - **DataFrame and Dataset Transformations:** Gain expertise in loading, transforming, and analyzing data with DataFrames and Datasets. - **Aggregations in Spark:** Learn advanced data aggregation techniques within the Apache Spark environment. - **Spark DataFrame Joins:** Master the art of joining DataFrames efficiently to derive meaningful insights from your datasets. --- **Course Benefits:** πŸŽ“ **Interactive Learning:** Engage with hands-on labs that provide practical experience and deepen your understanding of Apache Spark. πŸŽ‰ **Real-World Skills:** Transition from learning to applying, as you build real-world applications using Apache Spark. 🀝 **Community Support:** Join a community of peers who are on the same learning journey, offering support and knowledge sharing along the way. --- **Enroll Today and Step into the World of Data Engineering with Apache Spark!** Whether you're looking to expand your skill set or want to implement Apache Spark in your organization, this course provides the perfect foundation. Don't miss out on this opportunity to become proficient in one of the most sought-after skills in the realm of data engineering and big data analytics. Enroll now and transform your career trajectory with Apache Spark! 🌟

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5421968
udemy ID
7/3/2023
course created date
7/21/2023
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