Hallos

SQL NoSQL Big Data and Hadoop

SQL NoSQL Big Data and Hadoop

  • 22 hours
  • Self-paced online
  • Certificate on completion

Part of Personal Development courses

Overview

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.

Certification

Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Assessment

At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.

Curriculum

  1. Section 01: Introduction
  2. Section 02: Relational Database Systems
  3. Section 03: Database Classification
  4. Section 04: Key-Value Store
  5. Section 05: Document-Oriented Databases
  6. Section 06: Search Engines
  7. Section 07: Wide Column Store
  8. Section 08: Time Series Databases
  9. Section 09: Graph Databases
  10. Section 10: Hadoop Platform
  11. Section 11: Big Data SQL Engines
  12. Section 12: Distributed Commit Log
  13. Section 13: Summary