Book Image

Business Intelligence Career Master Plan

By : Eduardo Chavez, Danny Moncada
Book Image

Business Intelligence Career Master Plan

By: Eduardo Chavez, Danny Moncada

Overview of this book

Navigating the challenging path of a business intelligence career requires you to consider your expertise, interests, and skills. Business Intelligence Career Master Plan explores key skills like stacks, coursework, certifications, and interview advice, enabling you to make informed decisions about your BI journey. You’ll start by assessing the different roles in BI and matching your skills and career with the tech stack. You’ll then learn to build taxonomy and a data story using visualization types. Additionally, you’ll explore the fundamentals of programming, frontend development, backend development, software development lifecycle, and project management, giving you a broad view of the end-to-end BI process. With the help of the author’s expert advice, you’ll be able to identify what subjects and areas of study are crucial and would add significant value to your skill set. By the end of this book, you’ll be well-equipped to make an informed decision on which of the myriad paths to choose in your business intelligence journey based on your skill set and interests.
Table of Contents (12 chapters)

The current landscape and the most effective technologies to study

Are you ready to dive into the world of BI tools and technologies? Before we continue, let me give you a word of caution: resist the urge to try and learn it all. This will be presented to you after so that you can find the pros and cons of each tool and use them according to your situation. We believe that a BI Career Master Plan is not about learning tools but more importantly, about learning which type of tool you should look for by comparing problems to solve and checking and marking matching features.

It is also important to understand how this book does not encourage trendy software but realizes the scenarios different organizations are going through, what budget they have, human capital, technology infrastructure, as well as software dependency. For example, we cannot recommend Fivetran as opposed to SAP Replication Server if your company’s ecosystem is already on SAP consisting of on-premises databases...