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health apps collecting patient data
Computer Science Emerging Database Models, (b) NewSQL databases: NewSQL
or agribusiness apps tracking crop
Technologies, and
availability and prices in rural areas.
Applications
databases combine the scalability
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The database landscape is continuously
ACID properties of traditional SQL
evolving with new models, technologies, and flexibility of NoSQL with the
and applications. Innovations like Big databases. They’re suitable for
Data, Cloud-based databases, NoSQL, businesses needing fast, scalable
NewSQL, and Serverless databases offer databases for reliable transactions,
unique advantages for various use cases like online retailing. In Tanzania,
such as big data analytics, real-time NewSQL databases could support
processing, and IoT applications. These e-commerce platforms, ensuring
advancements are crucial for handling fast, error-free transactions during
complex data types, improving operational peak seasons or festivals.
efficiency, and driving innovation across (c) Graph databases: Specialise in
industries. Below, we explore some of storing and analyzing interconnected
the most significant emerging database data, beneficial for scenarios
models, technologies, and their potential like social networks or wildlife
applications. conservation efforts in Tanzania.
(d) Time-Series Databases (TSDB):
Emerging database models are optimised for analyzing time-
(a) NoSQL databases: These databases stamped data, crucial for IoT and
handle various data structures, financial analysis. In Tanzania, TSDB
unlike traditional SQL databases could monitor soil moisture levels
that use a table-based format. They for efficient water management in
are designed for unstructured data, agriculture.
horizontal scaling, and flexible
data models. NoSQL databases are Emerging technologies
ideal for big data and real-time web (a) Database as a Service (DBaaS):
applications due to their scalability These a) Database as a Service
and ability to manage unstructured (DBaaS) simplifies database
data like texts and social media management by hosting databases
posts. For example, social media on the cloud, allowing developers to
platforms use NoSQL to manage focus on application development.
vast user-generated data. In For instance, a startup in Tanzania
Tanzania, startups might use NoSQL can leverage DBaaS to manage
databases for quickly launching and customer data without needing
scaling applications, such as mobile physical servers.
484
for Advanced Secondary Schools
Computer Science Form 5.indd 484 23/07/2024 12:35
