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Big data imperatives : enterprise big data warehouse, BI implementations and analytics / / Soumendra Mohanty, Madhu Jagadeesh and Harsha Srivatsa
| Big data imperatives : enterprise big data warehouse, BI implementations and analytics / / Soumendra Mohanty, Madhu Jagadeesh and Harsha Srivatsa |
| Autore | Mohanty Soumendra |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berkeley, CA, : Apress, 2013 |
| Descrizione fisica | 1 online resource (xxii, 296 pages) : illustrations (chiefly color) |
| Disciplina |
004
005.7 005.74 |
| Altri autori (Persone) |
JagadeeshMadhu
SrivatsaHarsha |
| Collana | The expert's voice in big data Big data imperatives |
| Soggetto topico |
Database management
Business intelligence - Computer programs |
| ISBN |
9781430248736
1430248734 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Contents at a Glance""; ""Contents""; ""Preface""; ""About the Authors""; ""About the Technical Reviewer""; ""Acknowledgments""; ""Introduction""; ""Chapter 1: “Big Data� in the Enterprise""; ""Search at Scale""; ""Multimedia Content""; ""Sentiment Analysis""; ""Enriching and Contextualizing Data""; ""Data Discovery or Exploratory Analytics""; ""Operational Analytics or Embedded Analytics""; ""Realizing Opportunities from Big Data""; ""Innovation""; ""Acceleration""; ""Collaboration""; ""New Business Models""; ""New Revenue Growth Opportunities""; ""Taming the “Big Data�""
""Where Will Big Data and Analytics Create Advantages for the Company?""""How Should You Organize to Capture the Benefits of Big Data and Analytics?""; ""What Technology Investments Can Enable the Analytics Capabilities?""; ""How Do You Get Started on the Big Data Journey?""; ""End Points""; ""References""; ""Chapter 2: The New Information Management Paradigm""; ""What Is Enterprise Information Management?""; ""New Approach to Enterprise Information Management for Big Data""; ""New capabilities needed for big data"" ""Leading practices of enterprise information management for big data platforms""""Implications of Big Data to Enterprise IT?""; ""Map-reduce""; ""Storage""; ""Query""; ""End Points""; ""References""; ""Chapter 3: Big Data Implications for Industry""; ""The Opportunity""; ""Big Data Use Cases by Industry Vertical""; ""Big Data Analytics for Telecom""; ""Big Data Analytics for Banking""; ""Big Data Analytics for Insurance""; ""Analytics Domains in Insurance""; ""Big Data Analytics for Retail""; ""Big Data Analytics for Health Care""; ""Big Data Analytics for IT/Operations""; ""End Points"" ""References""""Chapter 4: Emerging Database Landscapeimages ""; ""The Database Evolution""; ""The Scale-Out Architecture""; ""The Relational Database and the Non-Relational Database""; ""OldSQL, NewSQL, and the Emerging NoSQL""; ""The Influence of Map-Reduce and Hadoop""; ""Key Value Stores and Distributed Hash Tables""; ""XML Defined Data""; ""Unstructured Data as Un-modeled Data""; ""Database Workloads""; ""Workload Characteristics""; ""Implication of Big Data Scale on Data Processing""; ""Database Technologies for Managing the Workloads""; ""Hardware Architectures and Databases"" ""Columnar Databases""""Combination/Workload Challenges""; ""Requirements for the Next Generation Data Warehouses""; ""Polyglot Persistence: The Next Generation Database Architecture""; ""How Digg is Built Using Polyglot Persistence""; ""Use Case: E-commerce Retail Application""; ""End Points""; ""References""; ""Chapter 5: Application Architectures for Big Data and Analytics""; ""Big Data Warehouse and Analytics""; ""Data Design Principles for Big Data Solutions""; ""Big Data Warehouse System Requirements and Hybrid Architectures""; ""Enterprise Data Platform Ecosystem � BDW and EDW"" ""How does Traditional Data Warehouse processes map to tools in Hadoop Environment?"" |
| Altri titoli varianti |
Enterprise big data warehouse, BI implementations and analytics
Enterprise big data warehouse, business intelligence implementations and analytics |
| Record Nr. | UNINA-9910735395503321 |
Mohanty Soumendra
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| Berkeley, CA, : Apress, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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How to Compete in the Age of Artificial Intelligence : Implementing a Collaborative Human-Machine Strategy for Your Business / / by Soumendra Mohanty, Sachin Vyas
| How to Compete in the Age of Artificial Intelligence : Implementing a Collaborative Human-Machine Strategy for Your Business / / by Soumendra Mohanty, Sachin Vyas |
| Autore | Mohanty Soumendra |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 |
| Descrizione fisica | 1 online resource (244 pages) : illustrations |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Leadership Management Industrial management Big data Computational intelligence Artificial Intelligence Business Strategy/Leadership Innovation/Technology Management Big Data/Analytics Computational Intelligence |
| ISBN |
9781484238080
1484238087 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Economics of Artificial Intelligence -- Chapter 2: Re-Imagining Competitive Advantage in the AI World -- Chapter 3: Board to CEO: “What’s Your AI Strategy?” -- Chapter 4: Inside the Black Box: Understanding AI Decision-Making -- Chapter 5: Intelligent Process Automation = RPA + AI -- Chapter 6: Cyber Security and AI -- Chapter 7: Intelligence of Things = IoT + Cloud + AI -- Chapter 8: IT Operations and AI -- Chapter 9: Decentralized Autonomous Organizations = Blockchain + AI + IoT -- Chapter 10: Ethics and AI -- Chapter 11: Putting It All Together: Towards a Human-Machine Collaborative Ecosystem.-. |
| Record Nr. | UNINA-9910300750003321 |
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Mohanty Soumendra
|
||
| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||