Introduction to NOSQL - online training course

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Introduction to NOSQL - online training course

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Introduction to NoSQL

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3.5-hour Online Course by William McKnight
Single-user access license

Our Price: $360.00

Product Code: BD-02-A

Course Exam [Add $100.00]

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Course Outline

Exam Details

In this informative class, learn about the emerging class of NoSQL technologies for managing operational big data. This includes key-value, column stores, document stores and graph databases. Learn about the ideal workloads for NoSQL in enterprises and where NoSQL adds value to an enterprise information strategy. Learn how to get the projects started or dropping the “not in production” label.

This “code-lite” session addresses the NoSQL community as well as the key user community, providing guidance on how NoSQL technologies work and how to penetrate the enterprise. This practical session will help you add a significant class of technologies into consideration to ensure information remains an unparalleled corporate asset.

NoSQL poised to expand dramatically in the next few years as the nature of important operational data expands dramatically. Add NoSQL to your enterprise data possibilities.

You will learn:

Big data basics
Enablers for NoSQL
NoSQL data models: key-value, document, graph
NoSQL usage patterns
NoSQL database architectures
Graph database modeling and architecture

This course is geared towards:

Data architects
Business analysts
Data developers
Data administrators
Data strategists
Chief data Officers

Module 0. About the Course (8 min)

Module 1. Big Data Overview and Common Themes (49 min)

Overview
No More One Size Fits All
The No Reference Architecture
The Relational Database Data Page
What Does Big Data Mean?
Google Search Trends
Why the Sudden Explosion of Interest
What Happens in an Internet Minute?
Sensors Data
Customer Demands Drive Technology
New Data Types
Benefits of JSON
Why NoSQL for Big Data?
ACID
Hadoop, MapReduce and Big Data
Why NoSQL Not Hadoop for Operations
MapReduce Part 1 & 2
Scale Up vs. Scale Out
DFS Block Placement Example
File System Summary

Module 2. NoSQL History and Jargon (17 min)

Module Overview
NoSQL Inspirations
NoSQL History
Google MapReducer Paper
Google Bigtable Paper
Memcached
Schemaless
Keeping it Simple
CAP Theorem Part 1 & 2
Automatic Sharding
NoSQL Node Specification

Module 3. Enablers for NoSQL (19 min)

Overview
Data Integration
Data Visualization
Infrastructure Strategy, Including Cloud
Traditional Data Modeling
Data Modeling for NoSQL
NoSQL is for Applications, Not DW or ERP
NoSQL Schemaless Data Modeling
Force Fitting Unstructured Data into RDBMS
NoSQL Modeling from RDBMS
Security Concerns
Easing Into Change
What Will Motivate IT to Adopt NoSQL?

Module 4. NoSQL Data Models (49 min)

Data Types and NoSQL Data Models
Key Value Stores
Document Stores
Column Stores
Operational Big Data Platform Solution
Multiple NoSQL Solutions Working Together

Module 5. Relationship Model: Graph Oriented (68 min)

Overview
Module Overview
The Graph Database Revolution
Relationship Data
Graph Algorithms
Use Cases
Graph Modeling
Property Graph Databases
Semantic Graph Databases
Graph Engines
Module Summary

Module 6. The Future of NoSQL (8 min)

Overview
Questions for your NoSQL Prospect Vendor
Future of NoSQL
Big Data and NoSQL Sales Projection
The NoSQL Challenge
Getting Started
What Technology to Select
Module Summary

Click –here- to download a more detailed outline of this course.

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Li Dongtao 0 of 0 people found the following review helpful:

Course Review from 1/24/2021

Some more detailed discussion of real life projects/examples such as the architecture, challenges, outcome will be very helpful. Also, the contents need to be updated as a lot of things may have changed after 4 years.

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Alfred Hull 0 of 0 people found the following review helpful:

Course Review from 12/14/2018

I think the best thing that can happen with eLearning courses is to have a comprehensive booklet or enhanced PDF file that assists study and follow-along while also working as a valuable reference document to use later in life.

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