Udemy – Mastering Big Data: Spark, Scala, Kafka, Hadoop,Hive & More 2023-8

Udemy – Mastering Big Data: Spark, Scala, Kafka, Hadoop,Hive & More 2023-8 Downloadly IRSpace

Aug 16, 2025 - 07:03 Updated: Aug 17, 2025 - 19:39

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Udemy – Mastering Big Data: Spark, Scala, Kafka, Hadoop,Hive & More 2023-8

Mastering Big Data: Spark, Scala, Kafka, Hadoop, Hive & More was developed in collaboration with industry experts to address the growing need for big data professionals. With the ever-growing volume of data, the demand for big data engineers is increasing dramatically. However, acquiring the skills required to become a big data engineer can seem like a complicated and daunting path. This course provides a comprehensive, end-to-end implementation of the most popular big data skills, including Hadoop, Spark, Kafka, Cassandra, and many other critical technologies in the field.

In this course, participants will be introduced to the world of big data and its importance. They will understand the basic concepts of Hadoop and its architecture, and learn how to install the software and write code. They will also learn important Hadoop commands, file formats, and when to use each one. The course will delve deeply into Sqoop, a tool for transferring data between RDBMS and HDFS, and Hive, a tool for querying data in HDFS. In addition, the Scala programming language, Spark (as a very popular technology in the market), NOSQL databases (Cassandra and HBase) and how to integrate them with Spark are taught. Working with complex data and processing it effectively, preparing code for production and deploying it on a cluster, Apache NIFI (a powerful and scalable open source tool for data routing), working with streaming data, Kafka and how to integrate it with Spark, as well as troubleshooting techniques and performance improvement tips are other topics covered in this comprehensive course. The organizers of this course are proud to offer this comprehensive and end-to-end training.

What you will learn

Understanding Hadoop Architecture
Understanding file formats and being able to choose the right format for different use cases
Developing applications on the local system and then deploying them to the production environment
Parameterizing the code and preparing it for production
Import data from MySQL database to Sqoop and export data from HDFS to MySQL and deep understanding of Sqoop
Effective data query and analysis using Hive and a strong understanding of Hive
Learn Scala – One of the Top Programming Languages
Learn basic, intermediate, and advanced Spark concepts that are very popular in the market
Working with complex data and learning how to process it effectively
Learning Cassandra and integrating it with Spark
Learning HBase and integrating it with Spark
Learn Apache NIFI
Working with Spark Streaming – Learning Kafka and how to integrate it with Spark
Good understanding of the end-to-end big data pipeline

This course is suitable for people who:

Beginners who are completely unfamiliar with the world of big data.
Software engineers who want to make a career change into big data or improve their big data skills.
Data managers and analysts who want to gain a complete understanding of the end-to-end big data pipeline.

Course details: Mastering Big Data: Spark, Scala, Kafka, Hadoop, Hive & More

Publisher: Udemy
Instructor: Deesa Technologies
Training level: Beginner to advanced
Training duration: 33 hours and 35 minutes
Number of lessons: 191

Course syllabus in 2024/9

Prerequisites for the Mastering Big Data: Spark, Scala, Kafka, Hadoop, Hive & More course

You should have good internet connectivity. Should have 6 GB of free RAM. This course will work with 4GB of free RAM, but the applications may run slowly. So recommend to have at least 6GB of free RAM. SSD hard disk will increase the speed. If possible (not mandatory) have SSD hard disk instead of HDD
A basic familiarity with the Linux commands will be helpful