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(b) Serverless databases abstract server for modernizing sectors like healthcare,
management and offer a pay-per-use finance, and manufacturing, offering
model, benefiting dynamic workloads significant benefits such as improved
like mobile apps with fluctuating efficiency, better decision-making, and
traffic. Developers in Tanzania enhanced user engagement.
FOR ONLINE READING ONLY
can utilize serverless databases for Chapter Eight: Databases and Database Management Systems
event-based applications, such as Activity 8.15:
festival ticketing systems.
(c) Blockchain databases ensure Exploring emerging applications
decentralized, secure records
through blockchain technology, Aim:
suitable for applications like supply To research and document the
chain management. In Tanzania, benefits, features, use cases, industrial
blockchain databases could securely applications, and trends of emerging
record land transactions or student technologies.
credentials, ensuring data integrity.
(d) Edge databases run closer to Materials:
data sources for faster processing, Computer, Internet or Library access.
beneficial for IoT applications. In
Tanzania, edge databases can aid in Instructions
wildlife tracking or remote patient Explore the details of emerging
monitoring in remote areas, where technologies such as IoT, Real-Time
real-time data analysis is crucial. Analytics, AI/ML, Personalization and
Recommendation Engines, Privacy-
Enhanced Technology, and others
Emerging applications through Internet and library research.
Emerging applications such as the Internet In your exploration, undertake the
of Things (IoT), real-time analytics, following tasks:
artificial intelligence (AI), and machine 1. Analyse the primary benefits offered
learning (ML) are transforming various by each emerging application.
industries. IoT connects everyday devices 2. Describe the distinct features
to the Internet, enabling data collection and ideal scenarios where these
and automation. Real-time analytics applications are most effective.
allows for immediate data processing and 3. Categorize these applications based
insights, crucial for dynamic decision- on their industrial applications and
making. AI and ML drive innovations in sectors.
personalization, recommendation engines,
and advanced problem-solving, enhancing 4. Evaluate the significance and
user experiences and operational impact of these trends across
efficiencies. These technologies are vital various industries.
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Student’s Book Form Five
Computer Science Form 5.indd 485 23/07/2024 12:35

