Apache Spark, Spark sql & Streaming basic to advance level

🌟 Spark 2.4 Complete Guide with Practice Session: Master Apache Spark, Spark SQL & Streaming 🌟

Course Instructor: Anshul Jain
Big Data Solution Designer with extensive industry experience.

Course Title: Spark 2.4 Complete Guide with Practice Session, Spark Job Performance Boost, and Structured Streaming with Scala Basics

Headline: Unlock the Full Potential of Big Data with Apache Spark – From Basics to Advanced Techniques!

Course Description:

Are you ready to dive deep into the world of Big Data and emerge as a proficient Big Data Engineer? Look no further! This comprehensive video series, crafted by an experienced Big Data Solution Designer, Anshul Jain, is your gateway to mastering Apache Spark, Spark SQL, and Spark Streaming with Scala.

Why Enroll in This Course? 🚀

• End-to-End Knowledge: Gain a deep understanding of Apache Spark, from the basics to advanced concepts, preparing you for real-time projects using the latest Spark version 3.x.
• Real-World Use Cases: Learn through practical examples and real-world scenarios that will help you design Big Data projects effectively.
• Exclusive Content: Access detailed insights into Spark that are rarely found online, setting you apart from your peers.
• Interactive Learning: Engage with interactive sessions and hands-on practice to solidify your understanding of each concept.
• Expert Guidance: Benefit from expert code reviews and demos that will elevate your coding skills to professional standards.
• Google Cloud Setup: Get guided assistance with setting up Spark on Google Cloud for a comprehensive learning experience.
• Scala Basics: For those starting from scratch, this course includes an introduction to Scala to ensure you have the foundational knowledge needed.
• Spark SQL Clauses: Master advanced SQL clauses like DISTRIBUTE BY, ORDER BY, CLUSTERED BY, and SORT BY.
• Eclipse Coding Application: Learn to apply Java 8 in Maven projects with Spark API, enhancing your coding capabilities.
• Window Functions: Explore complex window functions such as RANK(), ROW_NUMBER(), and DENSE_RANK() through interactive sessions.
• RDD, Dataset & DataFrame API: Understand the inner workings of RDDs, Datasets, and DataFrames with detailed explanations and examples.
• Hadoop/Hive Data Integration: Learn various methods to insert data into Hadoop or Hive tables efficiently.
• Spark Job Optimization: Discover techniques to optimize your Spark jobs for better performance and faster execution.
• DAG Analysis & Debugging: Gain proficiency in analyzing and debugging Spark applications using the Spark UI.
• Structured Streaming with Java: Combine Structured Streaming with Java for real-time data processing.
• Performance Techniques: Uncover performance techniques that top companies use to query data fast and make informed decisions based on Big Data analytics.

Bonus Material:

• Downloadable Step-by-Step Installation Guide for Scala and Apache Spark to ensure a smooth setup process.

With this comprehensive course, you'll be fully equipped to tackle any Big Data challenge head-on. Whether you're aiming to land a new job or enhance your current position, this course will provide you with the tools and knowledge necessary to succeed in the field of Big Data. 🎓✨

Enroll now and transform your career with the power of Apache Spark! 🚀💻