Over Alan Nugent
Alan Nugent has extensive experience in cloud-based big data solutions.
Judith Hurwitz,
Alan Nugent,
Fern Halper
e.a.
Big Data for Dummies
Paperback Engels 2013 1e druk 9781118504222Verwachte levertijd ongeveer 8 werkdagen
Samenvatting
Here's the guide that can keep big data from becoming a big headache!
Big data can be a complex concept. For Dummies to the rescue! Here's a plain-English explanation of what big data is (and isn't), the technology and database options supporting it, analytics that help you get meaning from your data, how to manage it, and what it can do for your company. Business executive or IT person, here's what you need to know.
- What it is - get your mind around big data from both a technical and business perspective
- Organize it - meet the big data stack and learn about different architectural levels, operational databases, organizing databases, and analytical data warehouses
- Big data computing model - explore distributed computing as well as the power of virtualization and the cloud
- Hadoop and MapReduce - learn the importance of Hadoop and MapReduce for big data analysis
- Get analytical - identify analytics tools for big data and evaluate the various new models that are evolving
- Ready? Implement - discover how to implement your big data solution with an eye to operationalizing and protecting your data
- What it means - see the importance of big data to your organization and how it's used to solve problems
Open the book and find:
- A definition of big data
- Profiles of various available technologies T
- he role of the cloud
- How MapReduce aids big data management
- Why Hadoop is so important
- Some specific uses for text analytics
- How to approach big data security and privacy
- Ten best practices for managing big data
Specificaties
ISBN13:9781118504222
Taal:Engels
Bindwijze:paperback
Aantal pagina's:312
Uitgever:John Wiley & Sons
Druk:1
Verschijningsdatum:20-4-2013
Hoofdrubriek:IT-management / ICT
Serie:Dummies (Engelstalig)
Lezersrecensies
Wees de eerste die een lezersrecensie schrijft!
Over Fern Halper
Dr. Fern Halper is a partner at Hurwitz & Associates with extensive expertise in information management, big data, and analytics.
Inhoudsopgave
Introduction
Part 1: Getting Started with Big Data
1. Grasping the Fundamentals of Big Data
2. Examining Big Data Types
3. Old Meets New: Distributed Computing
Part 2: Technology Foundations for Big Data
4. Digging into Big Data Technology Components
5. Virtualization and How It Supports Distributed Computing
6. Examining the Cloud and Big Data
Part 3: Big Data Management
7. Operational Database
8. MapReduce Fundamentals
9. Exploring the World of Hadoop
10. The Hadoop Foundation and Ecosystem
11. Appliances and Big Data Warehouses
Part 4: Analytics and Big Data
12. Defining Big Data Analytics
13. Understanding Text Analytics and Big Data
14. Customized Approaches for Analysis of Big Data
Part 5: Big Data Implementation
15. Integrating Data Sources
16. Dealing with Real-Time Data Streams and Complex Event Processing
17. Operationalizing Big Data
18. Applying Big Data within Your Organization
19. Security and Governance for Big Data Environments
Part 6: Big Data Solutions in the Real World
20. The Importance of Big Data to Business
21. Analyzing Data in Motion: A Real-World View
22. Improving Business Processes with Big Data Analytics: A Real-World View
Part 7: The Part of Tens
23. Ten Big Data Best Practices
24. Ten Great Big Data Resources
25. Ten Big Data Do's and Don'ts
Glossary
Index
Part 1: Getting Started with Big Data
1. Grasping the Fundamentals of Big Data
2. Examining Big Data Types
3. Old Meets New: Distributed Computing
Part 2: Technology Foundations for Big Data
4. Digging into Big Data Technology Components
5. Virtualization and How It Supports Distributed Computing
6. Examining the Cloud and Big Data
Part 3: Big Data Management
7. Operational Database
8. MapReduce Fundamentals
9. Exploring the World of Hadoop
10. The Hadoop Foundation and Ecosystem
11. Appliances and Big Data Warehouses
Part 4: Analytics and Big Data
12. Defining Big Data Analytics
13. Understanding Text Analytics and Big Data
14. Customized Approaches for Analysis of Big Data
Part 5: Big Data Implementation
15. Integrating Data Sources
16. Dealing with Real-Time Data Streams and Complex Event Processing
17. Operationalizing Big Data
18. Applying Big Data within Your Organization
19. Security and Governance for Big Data Environments
Part 6: Big Data Solutions in the Real World
20. The Importance of Big Data to Business
21. Analyzing Data in Motion: A Real-World View
22. Improving Business Processes with Big Data Analytics: A Real-World View
Part 7: The Part of Tens
23. Ten Big Data Best Practices
24. Ten Great Big Data Resources
25. Ten Big Data Do's and Don'ts
Glossary
Index
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