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دانلود کتاب Big Data For Dummies
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دانلود کتاب Big Data For Dummies
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Getting Started with Big Data
Grasping the Fundamentals of Big Data
Examining Big Data Types
Distributed Computing
Part II: Technology Foundations for Big Data
Digging into Big Data Technology Components
Virtualization and How It Supports Distributed Computing
Examining the Cloud and Big Data
Big Data Management
Operational Databases
MapReduce Fundamentals
Exploring the World of Hadoop
The Hadoop Foundation and Ecosystem
Appliances and Big Data Warehouses
Analytics and Big Data
Defning Big Data Analytics
Understanding Text Analytics and Big Data
Customized Approaches for Analysis of Big Data
Big Data Implementation
Integrating Data Sources
Dealing with Real-Time Data Streams and Complex
Event Processing
Operationalizing Big Data
Applying Big Data within Your Organization
Security and Governance for Big Data Environments
Big Data Solutions in the Real World
The Importance of Big Data to Business
Analyzing Data in Motion: A Real-World View
Improving Business Processes with Big Data Analytics
Ten Big Data Best Practices
Ten Big Data Do’s and Don’ts
Ten Great Big Data Resources
Getting Started with Big Data
Technology Foundations for Big Data
Big Data Management
Analytics and Big Data
Big Data Implementation
Big Data Solutions in the Real World
The Part of Tens
The Evolution of Data Management
The Evolution of Data Management
Understanding the Waves of Managing Data
Wave 1: Creating manageable data structures
Wave 2: Web and content management
Wave 3: Managing big data
Defning Big Data
Building a Successful Big Data Management Architecture
Beginning with capture, organize, integrate, analyze, and act
Setting the architectural foundation
Performance matters
Traditional and advanced analytics
The Big Data Journey
Defning Structured Data
Exploring sources of big structured data
Understanding the role of relational databases in big data
Defning Unstructured Data
Exploring sources of unstructured data
Understanding the role of a CMS in big data management
Looking at Real-Time and Non-Real-Time Requirements
Putting Big Data Together
Managing different data types
Integrating data types into a big data environment
A Brief History of Distributed Computing
Giving thanks to DARPA
The value of a consistent model
Understanding the Basics of Distributed Computing
Why we need distributed computing for big data
The changing economics of computing
The problem with latency
Demand meets solutions
Getting Performance Right
Exploring the Big Data Stack
Layer 0: Redundant Physical Infrastructure
Physical redundant networks
Managing hardware: Storage and servers
Infrastructure operations
Layer 1: Security Infrastructure
Interfaces and Feeds to and from Applications and the Internet
Layer 2: Operational Databases
Layer 3: Organizing Data Services and Tools
Layer 4: Analytical Data Warehouses
Big Data Analytics
Big Data Applications
Understanding the Basics of Virtualization
The importance of virtualization to big data
Server virtualization
Application virtualization
Network virtualization
Processor and memory virtualization
Data and storage virtualization
Managing Virtualization with the Hypervisor
Abstraction and Virtualization
Implementing Virtualization to Work with Big Data
Defning the Cloud in the Context of Big Data
Understanding Cloud Deployment and Delivery Models
Cloud deployment models
Cloud delivery models
The Cloud as an Imperative for Big Data
Making Use of the Cloud for Big Data
Providers in the Big Data Cloud Market
Amazon’s Public Elastic Compute Cloud
Google big data services
Microsoft Azure
OpenStack
Where to be careful when using cloud services
RDBMSs Are Important in a Big Data Environment
PostgreSQL relational database
Nonrelational Databases
Key-Value Pair Databases
Riak key-value database
Document Databases
MongoDB
CouchDB
Columnar Databases
HBase columnar database
Graph Databases
Neo4J graph database
Spatial Databases
PostGIS/OpenGEO Suite
Polyglot Persistence
Tracing the Origins of MapReduce
Understanding the map Function
Adding the reduce Function
Putting map and reduce Together
Optimizing MapReduce Tasks
Hardware/network topology
Synchronization
File system
Explaining Hadoop
Understanding the Hadoop Distributed File System (HDFS)
NameNodes
Data nodes
Under the covers of HDFS
Hadoop MapReduce
Getting the data ready
Let the mapping begin
Reduce and combine
Building a Big Data Foundation with the Hadoop Ecosystem
Managing Resources and Applications with Hadoop YARN
Storing Big Data with HBase
Mining Big Data with Hive
Interacting with the Hadoop Ecosystem
Pig and Pig Latin
Sqoop
Zookeeper
Integrating Big Data with the Traditional Data Warehouse
Optimizing the data warehouse
Differentiating big data structures from data warehouse data
Examining a hybrid process case study
Big Data Analysis and the Data Warehouse
The integration lynchpin
Rethinking extraction, transformation, and loading
Changing the Role of the Data Warehouse
Changing Deployment Models in the Big Data Era
The appliance model
The cloud model
Examining the Future of Data Warehouses
sing Big Data to Get Results
Basic analytics
Advanced analytics
Operationalized analytics
Monetizing analytics
sing Big Data to Get Results
Basic analytics
Advanced analytics
Operationalized analytics
Monetizing analytics
Exploring Unstructured Data
Understanding Text Analytics
The difference between text analytics and search
Analysis and Extraction Techniques
Understanding the extracted information
Taxonomies
Putting Your Results Together with Structured Data
Putting Big Data to Use
Voice of the customer
Social media analytics
Text Analytics Tools for Big Data
Attensity
Clarabridge
IBM
OpenText
SAS
Building New Models and Approaches to Support Big Data
Characteristics of big data analysis
Understanding Different Approaches to Big Data Analysis
Custom applications for big data analysis
Semi-custom applications for big data analysis
Characteristics of a Big Data Analysis Framework
Big to Small: A Big Data Paradox
Identifying the Data You Need
Exploratory stage
Codifying stage
Integration and incorporation stage
Understanding the Fundamentals of Big Data Integration
Defning Traditional ETL
Data transformation
Understanding ELT — Extract, Load, and Transform
Prioritizing Big Data Quality
Using Hadoop as ETL
Best Practices for Data Integration in a Big Data World
Explaining Streaming Data and Complex Event Processing
Using Streaming Data
Data streaming
The need for metadata in streams
Using Complex Event Processing
Differentiating CEP from Streams
Understanding the Impact of Streaming Data and CEP on Business
Making Big Data a Part of Your Operational Process
Integrating big data
Incorporating big data into the diagnosis of diseases
Understanding Big Data Workflows
Workload in context to the business problem
Ensuring the Validity, Veracity, and Volatility of Big Data
Data validity
Data volatility
Figuring the Economics of Big Data
Identifcation of data types and sources
Business process modifcations or new process creation
The technology impact of big data workflows
Finding the talent to support big data projects
Calculating the return on investment (ROI) from big data investments
Enterprise Data Management and Big Data
Defning Enterprise Data Management
Creating a Big Data Implementation Road Map
Understanding business urgency
Projecting the right amount of capacity
Selecting the right software development methodology
Balancing budgets and skill sets
Determining your appetite for risk
Starting Your Big Data Road Map
Security in Context with Big Data
Assessing the risk for the business
Risks lurking inside big data
Understanding Data Protection Options
The Data Governance Challenge
Auditing your big data process
Identifying the key stakeholders
Putting the Right Organizational Structure in Place
Preparing for stewardship and management of risk
Setting the right governance and quality policies
Developing a Well-Governed and Secure Big Data Environment
Big Data as a Business Planning Tool
Stage 1: Planning with data
Stage 2: Doing the analysis
Stage 3: Checking the results
Stage 4: Acting on the plan
Adding New Dimensions to the Planning Cycle
Stage 5: Monitoring in real time
Stage 6: Adjusting the impact
Stage 7: Enabling experimentation
Keeping Data Analytics in Perspective
Getting Started with the Right Foundation
Getting your big data strategy started
Planning for Big Data
Transforming Business Processes with Big Data
Understanding Companies’ Needs for Data in Motion
The value of streaming data
Streaming Data with an Environmental Impact Using sensors to provide real-time information about
rivers and oceans
The benefts of real-time data
Streaming Data with a Public Policy Impact
Streaming Data in the Healthcare Industry
Capturing the data stream
Streaming Data in the Energy Industry
Using streaming data to increase energy efficiency Using streaming data to advance the production of
alternative sources of energy Connecting Streaming Data to Historical and Other
Real-Time Data Sources
Understanding Companies’ Needs for Big Data Analytics
Improving the Customer Experience with Text Analytics
The business value to the big data analytics implementation
Using Big Data Analytics to Determine Next Best Action
Preventing Fraud with Big Data Analytics The Business Beneft of Integrating
New Sources of Data
Understand Your Goals
Establish a Road Map
Discover Your Data
Figure Out What Data You Don’t Have
Understand the Technology Options
Plan for Security in Context with Big Data
Plan a Data Governance Strategy
Plan for Data Stewardship
Continually Test Your Assumptions
Study Best Practices and Leverage Patterns
Hurwitz & Associates
Standards Organizations
The Open Data Foundation
The Cloud Security Alliance
National Institute of Standards and Technology
Apache Software Foundation
OASIS
Vendor Sites
Online Collaborative Sites
Big Data Conferences
Do Involve All Business Units in Your Big Data Strategy
Do Evaluate All Delivery Models for Big Data
Do Think about Your Traditional Data Sources as Part of Your Big Data Strategy
Do Plan for Consistent Metadata
Do Distribute Your Data
Don’t Rely on a Single Approach to Big Data Analytics
Don’t Go Big Before You Are Ready
Don’t Overlook the Need to Integrate Data
Don’t Forget to Manage Data Securely
Don’t Overlook
دانلود کتاب Big Data For Dummies
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