Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>

Stop the Data Madness! Lessons from a Lifetime in Data Management.

-15% su kodu: ENG15
58,03 
Įprasta kaina: 68,27 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
58,03 
Įprasta kaina: 68,27 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 68.2700 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

Learn what's going wrong with data and how to fix it. My last book was about data crimes. We have to solve those crimes and prevent them from happening again. Data is too valuable to leave unattended. Pick and choose stories to read by subject, including data management, data lifestyle, data governance, data architecture, master data management, data modeling, data lakes, metadata, data quality, data privacy, data retention, and analytics. Use the stories to rethink what you've been doing and if you need or want to take a new approach. These stories come from a lifetime of working with data. I've seen the good and the bad. Keep the good, improve the bad, and take a more efficient and effective approach to dealing with data. Life revolves around data. Unfortunately, most people don't realize this and take data for granted. Without devoting the necessary attention to data, you risk everything based on your data. How do you expect to make good business decisions if you're basing them on bad data? How do you expect to get good reports, analytics, and AI without good data?

Informacija

Autorius: Merrill Albert
Leidėjas: Technics Publications
Išleidimo metai: 2024
Knygos puslapių skaičius: 238
ISBN-10: 1634624998
ISBN-13: 9781634624992
Formatas: 229 x 152 x 14 mm. Knyga minkštu viršeliu
Kalba: Anglų

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „Stop the Data Madness! Lessons from a Lifetime in Data Management.“

Būtina įvertinti prekę

Goodreads reviews for „Stop the Data Madness! Lessons from a Lifetime in Data Management.“