Type: Journal entry (reflective writing; sometimes labeled 8-1 Journal, 8-3 Journal, or “Reflecting on Changes” / “Reflections on AI and IoT”). Overview/Purpose: This is typically the capstone reflective journal for the course. It asks students to look back on the key emerging technologies covered (cloud infrastructure, big data, IoT, and AI/ML), identify the most personally […]

These study notes are designed to help you craft a high-quality journal entry for DAT 260 Module 8. They cover the key required aspects: GitHub as a community of practice, GitHub as a professional portfolio, collaboration features (pull requests, code reviews), verification/validation methods, and personal reflection. Content draws from GitHub’s official features (as of March […]

Module 8 Assignment: 8-1 Journal – Leveraging GitHub for DevelopersType: Journal entry (reflective writing assignment; often titled “Leveraging GitHub for Developers,” “GitHub as a Collaborative Tool for Developers,” or similar). Overview/Purpose (from guidelines): As learned in the module resources, GitHub is more than just a code repository—it functions as a dynamic community of practice, a […]

Module 7 Assignment: Need for Big Data Technologies Read the assigned Shapiro Library article (“Need for Big Data Technologies: A Review”) for an overview of big data basics and the technologies needed to process large volumes of unstructured data. In your journal (or discussion post/reflection), address the following: Explain the unique challenges of big data […]

Module 7 Overview & Assignment ExpectationsFocus Module 7 emphasizes why traditional data management and analytics approaches fail with big data, and why specialized big data technologies are essential. It synthesizes prior modules: cloud scalability (Modules 1–2), big data tools (Module 3), NoSQL vs. SQL (Module 4), and AI/IoT applications (Modules 5–6). Key theme: Big data’s […]