Spark SQL and Spark 3 using Scala Hands-On with Labs

🚀 Course Title: Spark SQL and Spark 3 using Scala - Hands-On with Labs

🎓 Course Headline: A Comprehensive Course on Mastering Spark SQL & Data Frame APIs with Scala and Exclusive Lab Access!

Unlock Your Data Engineering Potential with Spark SQL and Spark 3 using Scala! 🌟

Welcome to an enriching journey into the world of Big Data processing, where you will learn to build robust Data Engineering Pipelines using Spark SQL and Spark Data Frame APIs with Scala as your programming powerhouse. Say goodbye to traditional data handling methods and embrace the scalability and efficiency that only Apache Spark can offer!

🔍 What's Inside:

About Data Engineering: Data Engineering is a pivotal discipline in the Big Data space, focusing on processing data at scale to meet the demands of downstream applications. It encompasses various roles, including ETL development and data warehouse management, all aimed at optimizing data usage across an organization. Apache Spark has risen as the go-to solution for large-scale data engineering tasks, thanks to its speed, ease of use, and robust ecosystem.

As a seasoned Data Engineering Solution Architect with extensive experience in designing solutions using Apache Spark, I have crafted this course to equip you with the necessary skills to transition into a Data Engineer role. My expertise and your aspirations converge here to help you master these powerful tools. 🛠️✨

Course Breakdown:

Setup of Single Node Big Data Cluster:

If you're new to the Big Data realm, setting up a cluster might seem daunting. But fear not! This course begins with guiding you through setting up a single-node Big Data cluster on an Ubuntu-based AWS Cloud9 instance. We cover everything from ensuring Docker is set up to configuring Jupyter Lab and installing key components like Hadoop, Hive, YARN, and Spark. 🛠️

🔹 Setup Ubuntu-based AWS Cloud9 Instance with the right configuration 🔹 Ensure Docker is setup 🔹 Set up Jupyter Lab and other key components 🔹 Setup and Validate Hadoop, Hive, YARN, and Spark

Worried about setting up your environment? You'll receive complementary lab access for up to 2 months! This will allow you to practice in an interactive environment. Excel in the first two weeks with a positive review, and you could extend this access for another month. 💻🚀

Dive into Spark SQL & Data Frame APIs:

Spark SQL: We kick off our exploration of Spark SQL by familiarizing you with its capabilities and transforming your data with ease using SQL-like syntax. We'll cover everything from creating Spark Metastore Tables, performing DML and partitioning, to understanding various Spark SQL functions and mastering windowing functions. 🗃️

🔹 Getting Started with Spark SQL 🔹 Basic Transformations using Spark SQL 🔹 Managing Spark Metastore Tables - Basic DDL and DML 🔹 Managing Spark Metastore Tables - Tables, DML, and Partitioning 🔹 Overview of Spark SQL Functions 🔹 Windowing Functions using Spark SQL

Spark Data Frame APIs: For those who prefer to build data engineering applications within the Scala ecosystem, our course also dives deep into the world of Spark Data Frame APIs. We'll guide you through processing column data, performing basic transformations (like filtering, aggregations, and sorting), and executing complex joins with ease. 🔤🔗

🔹 Data Processing Overview using Spark Data Frame APIs 🔹 Processing Column Data using Spark Data Frame APIs 🔹 Basic Transformations using Spark Data Frame APIs - Filtering, Aggregations, and Sorting 🔹 Joining Data Sets using Spark Data Frame APIs

Exclusive Lab Access:

All demos in this course are performed on a state-of-the-art Big Data cluster. To help you practice and apply your newfound skills, we offer one-month complimentary lab access upon enrollment. Simply reach out to support@itversity.com with your Udemy receipt to avail of this opportunity. 💫📊

Enroll now and transform your data engineering career with the powerful combination of Spark SQL, Spark Data Frame APIs, and hands-on lab experience! 🌐🔥

Join us and become a master of Big Data processing with Scala. Let's embark on this exciting learning journey together! 🚀🌟