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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.
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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
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Click
–here- to download a more detailed outline of this course.
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This exam tests knowledge and understanding of basic concepts, principles, and terminology of NoSQL.
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You will be tested in these areas:
- Big Data concepts
- NoSQL definition and characteristics
- Why and when to use NoSQL
- NoSQL and data integration
- NoSQL and data modeling
- Key-Value Stores, Document Stores, Column Stores, and Graph Databases
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Additional Information
Number of Questions: 20
Time Limit: 40 Minutes
Passing Score: 70%
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Once you pass the exam, you will receive a Certificate of Education
documenting that you have demonstrated mastery of the topic. Course
exams count towards eLC certification programs. Visit our Certification page for more information about our various programs.
We recommend that you take detailed notes and review the course material multiple times before taking this exam.
Click here to learn more about CIMP exams.
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Course Review from 1/24/2021 
