Big Data Management Solutions for Architects

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Course Overview

The Big Data and Analytics for Business Users training course introduces Cloud Computing, Big Data, and the emerging discipline of Data Analytics. Attention will be given to the three V's of Big Data: Volume, Velocity, and Variety as well as the fourth V of Value. Participants will learn about these critical elements and the powerful value proposition that these capabilities provide. What are the processes, tools, and personnel that will be needed in order to take advantage of this sea change in information management? This course will equip you to understand your customers better and how to deliver more value today.

Course Content

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

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

Big data real world case studies

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

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

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

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

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

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

Customer Reviews

Thanks to Xpertised and the tutor who walked me through all the topics with Practical exposure which is helping me in my current project.

Course was quite helpful in terms of understanding of concepts and practicality. Its really a very friendly environment to learn. The timing were mutually chosen, as we both are working professional. I am quite satisfied with the course.


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