Big Data Management Solutions for Architects


Course Number: NSQL-106WA

Duration: 2 days (13 hours)

Format: Live, hands-on

How to Manage Big Data Training Overview

Does your team manage terabytes or petabytes of data spanning multiple data sources and platforms? This Big Data Management for Architects training course teaches attendees how to use NoSQL and cloud-based solutions to successfully meet their big data challenges and implement strategic planning, data processing techniques, and more.

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, we offer some courses as live, instructor-led online classes for individuals.

Objectives

  • Understand the challenges posed by big data
  • Transform data into business information
  • Use NoSQL
  • Understand data science
  • Use Cloud layering and SLAs

Prerequisites

All attendees must have a background in enterprise information systems design.

Outline

Expand All | Collapse All

Introduction
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
Conclusion

Training Materials

All Big Data training students will receive comprehensive courseware.

Software Requirements

  • Computer with Internet connectivity
  • Ability to install software on the computer
  • Recent 64-bit OS, such as Windows 10, macOS, or Linux


Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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