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IEBS Digital School 7

Datawarehouse Environments

  • up to 1 month
  • Intermediate

This course offers an in-depth understanding of Data Warehouses and Data Lakes, focusing on their differences, uses, and the technologies that drive modern data storage solutions. Learn to design and implement these systems using tools from AWS and Azure.

  • Data Warehouse Architecture
  • Data Lake Architecture
  • Cloud Solutions
  • Data Management
  • Data Security

Overview

Participants will gain expertise in designing and developing both Data Warehouses and Data Lakes using AWS and Azure tools. The course covers the architectural differences between Data Warehouses and Data Lakes, their applications in business environments, and practical skills in using MongoDB Atlas for data manipulation and visualization.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    Spanish
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Pre-recorded classes
    delivered online

Who is this course for?

Engineers

Engineers aiming to update their knowledge and develop new skills within Artificial Intelligence.

Programmers

Programmers looking to expand their knowledge and skills in the field of data science for professional development.

Experienced Data Analysts

Data analysts with experience who want to delve into deeper aspects of technology.

Why should you take this course?

Gain cutting-edge skills in data warehouse and lake design with top cloud platforms like AWS and Azure. This course is ideal for engineers, programmers, and data analysts looking to deepen their understanding of data storage technologies and their applications in solving business problems.

Pre-Requisites

1 / 3

  • Basic understanding of data storage systems

  • Familiarity with cloud service providers like AWS and Azure

  • Interest in data architecture and management

What will you learn?

Introduction to Data Warehouses and Data Lakes
Defines what a Datawarehouse and a Data Lake are, their similarities and differences, and the typical architectures used for each.
Working with MongoDB Atlas
Covers how to work with MongoDB Atlas for data manipulation and visualization, including database federation and using MongoDB Charts.
Fundamentals of Azure and AWS
Provides an introduction to Azure and AWS, focusing on creating data services and data warehouses with these platforms.

Meet your instructor

  • Francisco José Cotán López

    Cloud Engineer | Big Data Engineer | Data Architect, IEBS Digital School

    Francisco José Cotán López is a Cloud Engineer, Big Data Engineer, and Data Architect at IEBS Digital School. He helps companies design and develop systems to analyze data and make informed decisions. He also encourages people to learn every day, as he does, in order to stay ahead in the fast-paced world of technology.

Upcoming cohorts

  • Dates

    start now

$510