Data strategy in practice

Data strategy in practice

Course overview

This course is for those who want to understand how modern databases and data storage work, and how you can manage both batch and real-time data efficiently.

You’ll learn the differences between different types of databases and how to choose the right solution for specific business and technical needs. You’ll also learn how files are used efficiently for large amounts of data and their benefits.

The course covers techniques for storing and processing everything from small to large data sets, as well as how to create efficient workflows for both batch and real-time data. You’ll also gain insight into how these processes affect performance, scalability, and reliability in modern data-driven environments.

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Course Objective

After the course, you can:

  • Explain the differences between different database types and files, and choose the right solution for different business and technical needs
  • Manage and optimize workflows for both batch and real-time data
  • Understanding event-driven architecture
  • Explain how different storage and processing technologies affect performance, reliability, and scalability in data-driven environments

Target Group

  • If you are a data engineer, database developer or IT architect and want to improve your knowledge of databases and data storage.
  • You are responsible for managing and optimizing large amounts of data in batch or real-time environments.
  • If you are a developer or analyst and want to understand how different data storage technologies affect performance and scalability.
  • If you are a decision maker and want to know more about how to choose the right database technology to support business and technical goals.

Prerequisites

  • Basic knowledge of SQL and Python is recommended.
  • Experience working with a database is an advantage.

Certification

This course does not have any associated certification. Each participant who completes the course receives a course certificate.

Trainer

Marc Jamot is a prominent data specialist with a focus on evaluating, planning and running data/ML/AI projects from start to finish. He also has a broad experience in setting up frameworks, supporting and guiding decision makers in organizations to use data as a tool to gain a better understanding in decision making.

For the past 10 years, Marc has played a central role in building up data management at companies such as Aller, Lendo and Fever. He has been running STOIX for a couple of years, which provides products and services in data automation and strategy in data management and linking data to corporate strategy. STOIX has had Spotify, LKAB and Stockholm University as customers. Marc has a Master of Science in Information Technology from Chalmers University of Technology.

More about the course

Upon completion of the course, you will receive a course certificate from Informator.

Course overview

1 day

Basic

Can’t find a (suitable) date, but are interested in the course? Send in an expression of interest and we will do what we can to get an opportunity that suits.

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Allmänna Villkor.

Company-adapted course

The course can be adapted from several perspectives:
  • Content and focus area
  • Scope of application
  • Structure

In collaboration with the course leader, we make sure that the course meets your wishes

Expression of interest