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Beschreibung
Part I: Fundamentals for Data Product Management.- Chapter 1: Data Product Management Introduction.- Chapter 2: Data Analytical Architecture - Traditional Architecture.- Chapter 3 : Data Analytical Architecture - Big Data Architecture.- Chapter 4: Consolidating the Analytics Journey Knowledge.- Part II: Data Product Management in Practice.- Chapter 5: Golden Data Platform to Manage Data as a Product.- Chapter 6: Data Product Management.- Chapter 7: Designing the Product of Data - Understanding Phase.- Chapter 8: Designing the Product of Data - Exploring Phase.- Chapter 9: Designing the Data Product - Materializing Phase.- Chapter 10: Ownership process - Recurrent Cycle - Ongoing.
Part I: Fundamentals for Data Product Management.- Chapter 1: Data Product Management Introduction.- Chapter 2: Data Analytical Architecture - Traditional Architecture.- Chapter 3 : Data Analytical Architecture - Big Data Architecture.- Chapter 4: Consolidating the Analytics Journey Knowledge.- Part II: Data Product Management in Practice.- Chapter 5: Golden Data Platform to Manage Data as a Product.- Chapter 6: Data Product Management.- Chapter 7: Designing the Product of Data - Understanding Phase.- Chapter 8: Designing the Product of Data - Exploring Phase.- Chapter 9: Designing the Data Product - Materializing Phase.- Chapter 10: Ownership process - Recurrent Cycle - Ongoing.
Über den Autor
Jessika Milhomem is a seasoned expert with over 18 years of experience in Data Product Management, Data Governance, Analytics, Data Engineering, and Machine Learning Engineering. She has led strategic initiatives across a wide range of industries—including digital banking (Nubank, PagSeguro), fashion, telecommunications, education, automotive, and consumer goods—delivering impactful, data-driven solutions.

Jessika holds a degree in Databases, a postgraduate specialization in Business Intelligence with an emphasis in Enterprise Performance Management from FIAP, and an MBA in Big Data Analytics from FIA. Her passion lies in bridging business needs with the power of data and collaborative team dynamics to drive innovation and long-term value.

As a leader, Jessika empowers teams to both consume and produce data products, championing a "data as a product" mindset that strengthens decision-making and fuels customer-centric innovation.

You can learn about her work at [...]
Inhaltsverzeichnis

Part I: Fundamentals for Data Product Management.- Chapter 1: Data Product Management Introduction.- Chapter 2: Data Analytical Architecture - Traditional Architecture.- Chapter 3 : Data Analytical Architecture - Big Data Architecture.- Chapter 4: Consolidating the Analytics Journey Knowledge.- Part II: Data Product Management in Practice.- Chapter 5: Golden Data Platform to Manage Data as a Product.- Chapter 6: Data Product Management.- Chapter 7: Designing the Product of Data - Understanding Phase.- Chapter 8: Designing the Product of Data - Exploring Phase.- Chapter 9: Designing the Data Product - Materializing Phase.- Chapter 10: Ownership process - Recurrent Cycle - Ongoing.

Details
Erscheinungsjahr: 2025
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: xxiv
377 S.
3 s/w Illustr.
40 farbige Illustr.
377 p. 43 illus.
40 illus. in color.
ISBN-13: 9798868813146
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Milhomem, Jessika
Auflage: First Edition
Hersteller: Apress
Apress L.P.
Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße: 235 x 155 x 22 mm
Von/Mit: Jessika Milhomem
Erscheinungsdatum: 27.08.2025
Gewicht: 0,61 kg
Artikel-ID: 133904018

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