Database Administration

Database Administration

Author: Craig Mullins

Publisher: Addison-Wesley Professional

Published: 2002

Total Pages: 736

ISBN-13: 9780201741292

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Giving comprehensive, soup-to-nuts coverage of database administration, this guide is written from a platform-independent viewpoint, emphasizing best practices.


Data Administration

Data Administration

Author: Judith J. Newton

Publisher: DIANE Publishing

Published: 1992-09

Total Pages: 173

ISBN-13: 1568060696

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Covers: data architecture, data standards, the strategic plan and systems development, data integration issues in systems development, and the data administrator: achieving excellence.


DAMA-DMBOK

DAMA-DMBOK

Author: Dama International

Publisher:

Published: 2017

Total Pages: 628

ISBN-13: 9781634622349

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Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.


Database Administration

Database Administration

Author: Craig S. Mullins

Publisher: Addison-Wesley

Published: 2012-10-11

Total Pages: 1084

ISBN-13: 0133012727

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Database Administration, Second Edition, is the definitive, technology-independent guide to the modern discipline of database administration. Packed with best practices and proven solutions for any database platform or environment, this text fully reflects the field’s latest realities and challenges. Drawing on more than thirty years of database experience, Mullins focuses on problems that today’s DBAs actually face, and skills and knowledge they simply must have. Mullins presents realistic, thorough, and up-to-date coverage of every DBA task, including creating database environments, data modeling, normalization, design, performance, data integrity, compliance, governance, security, backup/recovery, disaster planning, data and storage management, data movement/distribution, data warehousing, connectivity, metadata, tools, and more. This edition adds new coverage of “Big Data,” database appliances, cloud computing, and NoSQL. Mullins includes an entirely new chapter on the DBA’s role in regulatory compliance, with substantial new material on data breaches, auditing, encryption, retention, and metadata management. You’ll also find an all-new glossary, plus up-to-the-minute DBA rules of thumb.


Fundamentals of Database Management Systems

Fundamentals of Database Management Systems

Author: Mark L. Gillenson

Publisher: John Wiley & Sons

Published: 2023-06-20

Total Pages: 418

ISBN-13: 1119907462

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In the newly revised third edition of Fundamentals of Database Management Systems, veteran database expert Dr. Mark Gillenson delivers an authoritative and comprehensive account of contemporary database management. The Third Edition assists readers in understanding critical topics in the subject, including data modeling, relational database concepts, logical and physical database design, SQL, data administration, data security, NoSQL, blockchain, database in the cloud, and more. The author offers a firm grounding in the fundamentals of database while, at the same time, providing a wide-ranging survey of database subfields relevant to information systems professionals. And, now included in the supplements, the author's audio narration of the included PowerPoint slides! Readers will also find: Brand-new content on NoSQL database management, NewSQL, blockchain, and database-intensive applications, including data analytics, ERP, CRM, and SCM Updated and revised narrative material designed to offer a friendly introduction to database management Renewed coverage of cloud-based database management Extensive updates to incorporate the transition from rotating disk secondary storage to solid state drives


Data Management at Scale

Data Management at Scale

Author: Piethein Strengholt

Publisher: "O'Reilly Media, Inc."

Published: 2020-07-29

Total Pages: 404

ISBN-13: 1492054739

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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 learnhow 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


The DAMA Dictionary of Data Management

The DAMA Dictionary of Data Management

Author: Dama International

Publisher:

Published: 2011

Total Pages: 0

ISBN-13: 9781935504122

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A glossary of over 2,000 terms which provides a common data management vocabulary for IT and Business professionals, and is a companion to the DAMA Data Management Body of Knowledge (DAMA-DMBOK). Topics include: Analytics & Data Mining Architecture Artificial Intelligence Business Analysis DAMA & Professional Development Databases & Database Design Database Administration Data Governance & Stewardship Data Management Data Modeling Data Movement & Integration Data Quality Management Data Security Management Data Warehousing & Business Intelligence Document, Record & Content Management Finance & Accounting Geospatial Data Knowledge Management Marketing & Customer Relationship Management Meta-Data Management Multi-dimensional & OLAP Normalization Object-Orientation Parallel Database Processing Planning Process Management Project Management Reference & Master Data Management Semantic Modeling Software Development Standards Organizations Structured Query Language (SQL) XML Development


Non-Invasive Data Governance

Non-Invasive Data Governance

Author: Robert S. Seiner

Publisher: Technics Publications

Published: 2014-09-01

Total Pages: 147

ISBN-13: 1634620453

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Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.