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Big Data Architecture Course (3 Modules)
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Big Data Architecture Course Program Overview
Big Data Architecture Course Symbol Legend
Module 14: Fundamental Big Data Architecture
Module 14 Overview
Lesson 1: Big Data Mechanisms Part II (22:12)
Exercise 14.1
Lesson 2: Machine Level Data Processing Architectures (9:26)
Exercise 14.2
Lesson 3: Big Data Architecture Types (12:51)
Exercise 14.3
Lesson 4: Big Data Analytics Logical Architecture (27:48)
Exercise 14.4
Lesson 5: Big Data Pipeline Compound Pattern (1:55)
Lesson 6: Poly Source Compound Pattern (6:33)
Lesson 7: Poly Storage Compound Pattern (4:59)
Lesson 8: Random Access Storage Compound Pattern (9:26)
Lesson 9: Streaming Access Storage Compound Pattern (3:28)
Exercise 14.5
Lesson 10: Big Data Processing Environment Compound Pattern (7:26)
Lesson 11: Poly Sink Compound Pattern (5:10)
Supplement: Big Data Architecture Compound Design Patterns Reference Matrix
Supplement: Big Data Architecture Design Patterns and Mechanisms Mapping Reference Matrix
Supplement: Big Data Architecture Patterns Supplement I
Module 15: Advanced Big Data Architecture
Module 15 Overview
Lesson 1: Introduction (3:11)
Lesson 2: Enterprise Data Warehouse & Big Data (24:58)
Exercise 15.1
Lesson 3: Big Data & Cloud Computing (16:22)
Exercise 15.2
Lesson 4: Data Transformation Compound Pattern (2:07)
Lesson 5: Application Enhancement Compound Pattern (8:13)
Lesson 6: Analytical Sandbox Compound Pattern (2:30)
Lesson 7: Unstructured Data Store Compound Pattern (1:39)
Lesson 8: Batch Data Processing Compound Pattern (2:22)
Lesson 9: Online Data Repository Compound Pattern (1:29)
Lesson 10: Big Data Warehouse Compound Pattern (1:32)
Lesson 11: Operational Data Store Compound Pattern (2:34)
Lesson 12: Realtime Data Processing Compound Pattern (4:03)
Lesson 13: Additional Big Data Patterns (7:49)
Exercise 15.3
Lesson 14: Lambda Architecture (28:05)
Exercise 15.4
Supplement: Big Data Architecture Compound Design Patterns Reference Matrix
Supplement: Big Data Architecture Design Patterns and Mechanisms Mapping Reference Matrix
Supplement: Big Data Architecture Patterns Supplement II
Module 16: Big Data Architect Lab
Module 16 Overview
Reading Exercise 16.1: SFI Case Study Background (~15 minutes)
Lab Exercise 16.2: Design Big Data Pipeline for SLA Compliance (~90 minutes)
Lab Exercise 16.3: Alleviate Customer Dissatisfaction (~60 minutes)
Lab Exercise 16.4: Reduce Data Storage Cost (~30 minutes)
Reading Exercise 16.5: LOC Case Study Background (~15 minutes)
Lab Exercise 16.6: Solution for Intelligent Oil Exploration (~60 minutes)
Lab Exercise 16.7: Enhance Oil Well Production (~60 minutes)
Lab Exercise 16.8: Reduce Maintenance Costs and Achieve Regulatory Compliance (~60 minutes)
Reading Exercise 16.9: TXC Case Study Background (~15 minutes)
Lab Exercise 16.10: Identify Fraud and Eliminate Waste (~45 minutes)
Lab Exercise 16.11: Prioritize Resource Allocation and Enable Open Data Access (~45 minutes)
Supplement: Module 16 Mind Map Poster
Become a Certified Big Data Architect
Step 1 - Take the Self-Test (Optional)
Step 2 - Order and Schedule the Exam
Add-Ons
Instructor-Led Training & Coaching Information
Online Coaching Order
Printed Course Materials
Lab Exercise 16.10: Identify Fraud and Eliminate Waste (~45 minutes)
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