Project One Overview & ExpectationsAssignment Title Variations (from student docs): Cloud Computing Evaluation Paper Feasibility Proposal on Cloud Computing Models Exploring Cloud Computing & Big Data Challenges Key Requirements (based on templates and examples): 6–10 pages (including cover, sections, references). Structured sections: Introduction, Cloud Computing Overview (deployment & service models), Benefits & Drawbacks, Risks/Challenges, Big […]

Module 4 Overview & Discussion Expectations Focus Module 4 explores data storage and management in big data environments, contrasting traditional relational (SQL) databases with non-relational (NoSQL) systems. It ties into previous modules by showing how databases support big data tools (Module 3) in cloud-migrated setups (Module 2).Assignment Details (4-2 Discussion) Prompt (typical): “What are the […]

Module 3 Overview & Assignment Expectations Focus Module 3 introduces core big data concepts (from Big Data, Big Analytics Chapters 1–3) and examines tools that process, store, query, and analyze large-scale data. It builds on Module 1 (cloud) and Module 2 (migration) by exploring technologies that leverage cloud environments for big data workloads.Assignment Details (3-2 […]

DAT 260 Module 2: SWOT Analysis – Cloud Migration Insights (Southern New Hampshire University – Emerging Technologies and Big Data course) Module 2 Overview & Assignment ExpectationsFocus Module 2 builds on cloud deployment models by analyzing the strategic decision to migrate to the cloud (often public, hybrid, or multi-cloud). You perform a SWOT analysis on […]

DAT 260 Module 1 Journal: Exploring Cloud Deployment Models (Southern New Hampshire University – Emerging Technologies and Big Data course). Class Guide: Overview & Learning Objectives for Module 1Course Context DAT 260 introduces emerging technologies that support big data and analytics, with Module 1 focusing on cloud computing foundations — especially deployment models. This sets […]