You're reading from Data Observability for Data Engineering

Product typeBook

Published inDec 2023

PublisherPackt

ISBN-139781804616024

Edition1st Edition

Concepts

Data Processing

Authors (2):

Michele Pinto

Sammy El Khammal

View More author details

Defining and understanding data teams

In recent years, investment in data platforms and tools has grown exponentially. At the same time, and proportionally, investment in data teams has increased to the point where the number of data teams is in the hundreds and even thousands.

On the one hand, this has been and continues to be an exciting time for the data ecosystem and for those who work in it, but on the other hand, this exponential growth has also brought with it a whole new set of challenges, not only technical but also organizational. Over the years, several questions have spontaneously risen:

How can I scale a data team?
What skills and roles are required for the success of my data investment?
How does management, such as the hiring process and budget, differ for these specific roles?
How can I improve communication between my data team and the rest of the organization?

These are non-trivial questions that are difficult to answer. Simply put, we...

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Data Observability for Data Engineering

Published in: Dec 2023Publisher: PacktISBN-13: 9781804616024

Authors (2)

Michele Pinto

Michele Pinto is the Head of Engineering at Kensu. With over 15 years of experience, Michele has a great knack for understanding how data observability and data engineering are closely linked. He started his career as a software engineer and has worked since then in various roles, such as big data engineer, big data architect, head of data and until recently he was a Head of Engineering. He has a great community presence and believes in giving back to the community. He has also been a teacher for Digital Product Management Master TAG Innovation School in Milan, Italy. His collaboration on the book has been prompt, swift, eager, and very invested.
Read more about Michele Pinto

Sammy El Khammal

Sammy El Khammal works at Kensu. He started off as a field engineer and worked his way up to the position of product manager. In the past, he has also worked with Mercedes as their Business Development Analyst – Intern. He has also been an O'Reilly teacher for 3 workshops on data quality, lineage monitoring, and data observability. During that time, he provided some brilliant insights, very responsive behaviour, and immense talent and determination.
Read more about Sammy El Khammal

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Defining and understanding data teams

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