A Big Data Hadoop and Spark project for absolute beginners

Why take this course?
🌟 Become a Data Engineering Master with Big Data & Hadoop!
🚀 Course Title: A Big Data Hadoop and Spark Project for Absolute Beginners
🔥 Course Headline: Data Engineering Skills with Spark, Hive, Python, PySpark, Scala, Coding Framework, Testing & IntelliJ Maven Glue Databricks Delta Lake
Overview: Dive into the world of Data Engineering and become a key player in the data-driven landscape with our comprehensive course designed to transform absolute beginners into proficient Data Engineers. 📊✨
Data Engineering is pivotal for any organization looking to harness the power of their data to drive decision-making and gain a competitive edge. This course will equip you with the practical skills needed to process, manage, and analyze vast datasets using cutting-edge technologies such as Hadoop, Hive, Spark, Python, and Scala.
Why Enroll?
- Real-World Application: Learn through a real-world project that leverages free cloud clusters for immediate practical application.
- Industry-Standard Practices: Master coding best practices, including logging, error handling, and configuration management.
- Hands-On Learning: Engage with interactive exercises, ensuring you gain hands-on experience with each concept.
- Expert Guidance: Benefit from the expertise of our experienced instructor who will guide you through real-world scenarios and best practices.
Course Content Breakdown:
📚 What You Will Learn:
- Big Data & Hadoop Concepts
- Creating a free Hadoop and Spark cluster using Google Dataproc
- Hands-on experience with HDFS and Hive
- Python basics, including PySpark RDD and SQL
- Spark Scala DataFrame operations
- Practical application of Delta Lake and Delta Tables within the Databricks Lakehouse Platform
- Developing a robust data pipeline using Apache Spark, Hive, and PostgreSQL
- Implementing real-world coding frameworks with Winutil, Maven, and IntelliJ (for Scala) and PyCharm (for Python)
- Unit testing for PySpark and Spark Scala applications
- Utilizing Structured Streaming in Spark Scala
- Integrating Glue and Athena to work with data stored in AWS S3
- Enhancing your productivity as a Data Engineer using ChatGPT
**🧠 Prerequisites: While this course is crafted for beginners with no prior knowledge of Python and Scala, some understanding of databases and SQL will be beneficial to make the most of this learning journey. Upon completion, you'll be equipped with the skills necessary to excel in a Data Engineer role. 🎓
Join us on this exciting journey to master data engineering! With hands-on experience, industry-standard tools, and expert guidance, you're set to unlock your potential and thrive in the ever-evolving field of Big Data. 🚀🎉
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