Fundamentals of Metadata Management: Uncover the Meta Grid and Unlock Data, Information, and Knowledge Management
暫譯: 元數據管理基礎:揭示元網格並解鎖數據、信息與知識管理
Olesen-Bagneux, Ole
- 出版商: O'Reilly
- 出版日期: 2025-09-09
- 定價: $2,650
- 售價: 9.0 折 $2,385
- 語言: 英文
- 頁數: 246
- 裝訂: Quality Paper - also called trade paper
- ISBN: 109816282X
- ISBN-13: 9781098162825
-
相關分類:
Data-visualization
立即出貨 (庫存 < 4)
Oreilly英文書展|任選2書8折 詳見活動內容 »
-
90折
$2,592Data Engineering for Multimodal AI: Architecting Scalable Systems for Next-Generation AI Applications -
90折
$2,592Data Engineering for Multimodal AI: Architecting Scalable Systems for Next-Generation AI Applications -
90折
$2,592Practical Mlflow for Generative AI on Databricks: Build High-Quality AI Agents from Prompt Design to Production -
90折
$2,457MLOps with Databricks: Machine Learning and Genai Applications End to End -
VIP 95折
An Illustrated Guide to AI Agents: Concepts and Code for Building Agents with Llms, Tools, and Memory$2,760$2,622 -
90折
$2,520Blue Team Handbook: Soc, Siem, and Threat Hunting: Practical Techniques for Security Operations and Threat Hunting Teams -
90折
$1,944Building Agentic Solutions with Microsoft Foundry: Patterns, Workflows, and Best Practices for Intelligent Agents -
90折
$1,917Learning Cybersecurity Fundamentals: A Practical Guide to Essential Cybersecurity Concepts -
90折
$2,592Head First Algorithms and Data Structures: A Learner's Guide to the Foundations of Computing -
90折
$2,484Comptia Linux+ Study Guide: Essential Exam Prep -
90折
$2,520Video Generation with AI: Working with Diffusion Transformers and Multimodal Learning (Paperback) -
90折
$1,890Mapping Experiences: A Complete Guide to Activating Customer-Centered Collaboration 3/e -
90折
$2,493Databricks Certified Generative AI Engineer Associate Study Guide: Generative AI with Databricks -
90折
$2,502Ai-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python -
90折
$2,268Observability Engineering: Achieving Production Excellence, 2/e (Paperback) -
90折
$1,935Soccer Analytics with Machine Learning: Learning Predictive Modeling Techniques with Sports Data -
90折
$1,926The C4 Model: Visualizing Software Architecture (Paperback) -
90折
$1,935Learning Cloud Security: Cloud Computing and Security Architecture Essentials -
90折
$2,502Vision Language Models: Building Vlms with Hugging Face (Paperback) -
90折
$2,142High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark 2/e -
90折
$1,944Python for Excel: A Modern Environment for Automation and Data Analysis -
90折
$1,440Managing AI Projects: Drive Innovation and Successfully Navigate the Full AI Project Lifecycle (Paperback) -
90折
$2,520AI-Ready Data Blueprints: From Raw Data to Ai-Driven Innovation (Paperback) -
90折
$1,917Certified Kubernetes Application Developer (Ckad) Study Guide: In-Depth Guidance and Practice (Paperback) -
90折
$2,484Large Language Models: The Hard Parts: Open Source AI Solutions for Common Pitfalls (Paperback)
相關主題
商品描述
Whether it's to adhere to regulations, access markets by meeting specific standards, or devise data analytics and AI strategies, companies today are busy implementing metadata repositories--metadata tools about the IT, data, information, and knowledge in your company. Until now, most of these repositories have been implemented in isolation from one another, but that practice lies at the core of problems with data management in many companies today.
Author Ole Olesen-Bagneux, chief evangelist at Actian, shows you how to masterfully manage your metadata repositories by properly coordinating them. That requires a data discovery team to increase insights for all key players in enterprise data management, from the CIO and CDO to enterprise and data architects. Coordinating these repositories will help you and your organization democratize data and excel at data management.
This book shows you how.
- Learn what metadata repositories are and what they do
- Explore which data to represent in these repositories
- Set up a data discovery team to make data searchable
- Learn how to manage and coordinate repositories in a meta grid
- Increase innovation by setting up a functional data marketplace
- Make information security and data protection more robust
- Gain a deeper understanding of your company IT landscape
- Activate real enterprise architecture based on evidence