Data Management at Scale
Best Practices for Enterprise Architecture
Seiten
2020
O'Reilly Media (Verlag)
978-1-4920-5478-8 (ISBN)
O'Reilly Media (Verlag)
978-1-4920-5478-8 (ISBN)
- Titel ist leider vergriffen;
keine Neuauflage - Artikel merken
As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you'll learn how to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption.
Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed.
Examine data management trends, including technological developments, regulatory requirements, and privacy concerns
Go deep into the Scaled Architecture and learn how the pieces fit together
Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed.
Examine data management trends, including technological developments, regulatory requirements, and privacy concerns
Go deep into the Scaled Architecture and learn how the pieces fit together
Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
Piethein Strengholt started with technologies at the age of 13 and never stopped learning. Very young, he started creating websites, started programming and had his own hosting company. Piethein's passion for technology has since lasted and helped him in his career as a consultant and later as a senior manager at a big consultancy firm. Three years ago, he switched to ABN AMRO to be assigned with the responsibility to deliver a vision and strategy for the topics 'Cloud, Data Management, Data Integration, Data Warehousing, Business Intelligence, Big Data & Analytics'. The success and fun he has is immense and really keeps his passion for technology trends alive.
| Erscheinungsdatum | 11.08.2020 |
|---|---|
| Verlagsort | Sebastopol |
| Sprache | englisch |
| Maße | 178 x 233 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| ISBN-10 | 1-4920-5478-X / 149205478X |
| ISBN-13 | 978-1-4920-5478-8 / 9781492054788 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Datenanalyse für Künstliche Intelligenz
Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
CHF 104,90
Auswertung von Daten mit pandas, NumPy und IPython
Buch | Softcover (2023)
O'Reilly (Verlag)
CHF 62,85
