SQL NoSQL Big Data and Hadoop

Welcome to “SQL, NoSQL, Big Data, and Hadoop!” This comprehensive course is designed to provide you with a thorough understanding of various data storage and processing technologies, including SQL, NoSQL, Big Data, and Hadoop.

In today’s data-driven world, it’s essential to be familiar with a range of data technologies to handle diverse data types and volumes effectively. In this course, you’ll learn how to work with relational and non-relational databases, manage big data, and utilize Hadoop for distributed data processing.

• Interactive video lectures by industry experts
• Instant e-certificate and hard copy dispatch by next working day
• Fully online, interactive course with Professional voice-over
• Developed by qualified first aid professionals
• Self paced learning and laptop, tablet, smartphone friendly
• 24/7 Learning Assistance
• Discounts on bulk purchases

Main Course Features:

• Comprehensive coverage of SQL fundamentals for relational database management
• Exploration of NoSQL databases such as MongoDB and Cassandra for handling unstructured data
• Introduction to Big Data concepts and technologies, including Hadoop and MapReduce
• Hands-on projects and exercises for practical application of SQL, NoSQL, and Big Data concepts
• Implementation of data processing workflows using Hadoop ecosystem tools like Hive and Pig
• Real-world case studies and examples demonstrating the application of SQL, NoSQL, and Hadoop
• Access to datasets and resources for practicing SQL and Big Data processing
• Supportive online community for collaboration and assistance throughout the course

Who Should Take This Course:

• Data engineers and analysts seeking to expand their knowledge of data storage and processing technologies
• Software developers interested in understanding how different data technologies work together in modern applications
• Business intelligence professionals aiming to leverage Big Data and Hadoop for data analysis and insights
• Students and professionals looking to enhance their skills in SQL, NoSQL, and Big Data technologies

Learning Outcomes:

• Master SQL fundamentals for relational database management and querying
• Understand the principles and use cases of NoSQL databases for handling diverse data types
• Gain insights into Big Data concepts and technologies, including Hadoop and MapReduce
• Learn how to manage and process large-scale data using Hadoop ecosystem tools
• Develop practical skills through hands-on projects and exercises in SQL, NoSQL, and Hadoop
• Build a portfolio of projects showcasing proficiency in SQL, NoSQL, and Big Data processing
• Apply data storage and processing techniques to real-world scenarios effectively
• Stay updated with the latest advancements and best practices in SQL, NoSQL, Big Data, and Hadoop technologies.