IntroductionCourse Outline

Objectives

This intensive training course aids IT architects in building a solid use case for embracing NoSQL systems and Cloud-based solutions in the enterprise.

The course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material.

Topics

  • NoSQL and Big Data Systems Overview
  • Applied Data Science and Business Analytics
  • Big Data Business Intelligence and Analytics
  • Enterprise Architecture Lessons Learned And Anti-Patterns
  • Adopting NoSQL
  • Cloud Layering
  • Cloud SLAs

Audience

IT Architects, Managers and Team Leads

Prerequisites

Participants should have background in enterprise information systems design

Duration

2 Days

Outline for Big Data Management Solutions for Architects Training

CHAPTER 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

CHAPTER 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

CHAPTER 3. 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

CHAPTER 4. 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

CHAPTER 5. BIG DATA REAL WORLD CASE STUDIES

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

CHAPTER 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

CHAPTER 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

CHAPTER 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

CHAPTER 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

CHAPTER 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