SQL, NoSQL, Big Data and Hadoop

Learn the database and data engineering concepts from SQL, NoSQL to Hadoop.

SQL, NoSQL, Big Data and Hadoop

Learn the database and data engineering concepts from SQL, NoSQL to Hadoop.
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About the Class

A comprehensive look at the wide landscape of database systems and how to make a good choice in your next project.

The first time we ask or answer any question regarding databases is when building an application. The next is either when our choice of the database becomes a bottleneck or when we need to do large-scale data analytics.

This course covers almost all classes of databases or data storage platforms there are and when to consider using them. It is a great journey through databases that will be great for software developers, big data engineers, data analysts as well as decision-makers. It is not an in-depth look into each of the databases but promises to get you up and running with your first project for each class.

What will you learn in this course?

  • Relational database systems, their features, use cases, and limitations
  • Why NoSQL?
  • CAP theorem
  • Key-value store and their use cases
  • Document-oriented databases and their use cases
  • Wide-columnar store and their use cases
  • Time-series databases and their use cases
  • Search engines and their use cases
  • Graph databases and their use cases
  • Distributed logs and real-time streaming systems
  • Hadoop and its use cases
  • SQL-on-Hadoop tools and their use cases
  • How to make informed decisions in building a good data storage platform

Who should take this course?

  • Chief data officers
  • Application developer
  • Data analyst
  • Data architects
  • Data engineers
  • Students
  • Anyone who wants to understand Hadoop from a database perspective.

What this course does not cover?
This course does not access any of the databases from the administrative perspective. So we don't cover administrative tasks like security, backup, recovery, migration and the likes.
Very in-depth features in the specific databases in the discussion. An example is that we will not go into the different database engines for MySQL or how to write stored procedures.

What do I need to know to get the best out of this course?
This course does not assume any knowledge of NoSQL or data engineering.
However, a little knowledge of RDBMS (even Microsoft Access) is enough to get you into the best position for this course.

Author

Michael Enudi

Big Data Specialist
A big data specialist residing in Johannesburg, South Africa with 14 years of experience in various areas of software development include enterprise, mobile and database application. Michael currently holds a Big Data Tech Specialist role in StructureIT where he uses software and big data technologies to build a data platform used by financial...

School

Michael Enudi's School

Requirements

  • You should have Microsoft Windows/Linux/Mac OX.
  • You should have a Hadoop environment. The suggestion for this will be to use a pre-installed sandbox, a cloud offering or install your own custom sandbox.

Class Contents

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What's Included

Language: English
Level: All levels
Skills: Big Data, CAP Theorem, Hadoop, NoSQL, SQL
Age groups: All ages
Duration: 22 hours 4 minutes
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