Big Data Management Solutions for Architects

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1. DEFINING BIG DATA

Gartner’s Definition of Big Data
Challenges Posed by Big Data
The Cloud and Big Data
Transforming Data into Business Information
Data-Driven Decision Making

2. NOSQL AND BIG DATA SYSTEMS OVERVIEW

Limitations of Relational Databases
What are NoSQL (Not Only SQL) Databases?
NoSQL Past and Present
NoSQL Database Properties
NoSQL Benefits
NoSQL Database Storage Types
The CAP Theorem
Limitations of NoSQL Databases
Big Data Sharding
Sharding Example
Cloud Solutions
Amazon S3
Amazon Storage SLAs
Amazon Glacier
Amazon S3 Security
Data Lifecycle Management with Amazon S3
Amazon S3 Cost Monitoring
OpenStack
OpenStack Object Store (Swift)
Components of Swift
Google BigTable
BigTable Design
Applications using BigTable
Google App Engine
Google App Engine Billing
Google Cloud Storage
Hadoop
Hadoop’s Core Components
Hadoop Distributed File System
Accessing HDFS
HBase
HBase design
Cassandra
MemcacheDB
Neo4j
MongoDB
MongoDB Operational Intelligence
MongoDB Use Cases

APPLIED DATA SCIENCE AND BUSINESS ANALYTICS

What is Data Science
Data Science vs Business Analytics vs Data Mining
Examples of Applied Data Science Projects
Strategic Information Value of Data Science
MapReduce Programming Model
Contrasting SQL with MapReduce

BIG DATA BUSINESS INTELLIGENCE AND ANALYTICS

Traditional Data Mining Constraints
NoSQL Data Querying and Processing
The UnQL Specification
Analyzing Big Data with Hadoop
MapReduce with Hadoop
Hadoop Streaming
Making Things Simpler with Hadoop Pig Latin
What is Hive?
Interfacing with Hive
Business analytics with Hive
Data Mashups in R
RHadoop (R + Hadoop)
MongoDB Operational Intelligence
MongoDB Use Cases
MongoDB Query Language
Amazon Elastic MapReduce
Querying Big Data in Google App Engine

5. BIG DATA REAL WORLD CASE STUDIES

Hadoop @ Yahoo
Yahoo for Hadoop
Yahoo!!
Big Data @ Facebook
Hive @ Facebook
Mailtrust (Rackspace’s mail division)

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6. ENTERPRISE ARCHITECTURE (EA) VALUE PROPOSITION

The Value of Alignment Between Business and Technology
Strategic Needs for Architecture
EA from Strategy to Technology
Tactical EA: IT Yearly Planning
Tactical EA: IT as an Investment Portfolio
Operational Needs for Architecture

7. ENTERPRISE ARCHITECTURE (EA) LESSONS LEARNED AND ANTI-PATTERNS

Key EA Lessons Learned
Three Critical Changes EA Must Make To Survive Hard Times
Scott Ambler’s EA Anti-Patterns
EA Anti-Patterns

8. ADOPTING NoSQL

Hype Cycle and Technology Adoption Model
Barriers to Adoption
Dismantling Barriers to Adoption
Use Cases for NoSQL Database Systems
Example Applications
Industry trends
Enterprise Big Data / NoSQL Offerings
NoSQL Technology Adoption Action Plan

9. CLOUD LAYERING

Cloud Layering Overview
Content Services
Logic Services
Orchestration in the Cloud
Utility – Security Services
Security Service Example
Utility – Data Services
Cloud Layering Examples

10. CLOUD SLAs

The Importance of Cloud SLAs
What Belongs in a Cloud SLA?
Minimal Cloud SLA
Robust Cloud SLA
Governing Cloud Service Quality
Supporting Clouds