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)

Increased productivity

This book offers guidance on how to leave old practices behind – practices that were encouraged at a time when storage and computational power were limited. Nowadays, the price for these has become accessible enough for us to consider new approaches. In the old days, it was convenient to work up the ladder in a BI project, from bottom to top, modeling every single business process in a business area and then publishing the data for report developers to provide answers to stakeholders. That usually meant that stakeholders would not see any finalized report until months into the project.

With the rise of cloud computing technology and concepts such as big data, late-binding data has become the most popular approach for delivering BI projects faster. Late-binding data is data that is not bound to a specific schema or structure at the time it is stored. This allows the data to be more flexible and adaptable to changes.

Late-binding data is often used...