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Several clauses such as WHERE, ORDER BY, GROUP BY, HAVING, and DISTINCT work
together with SELECT to make data retrieval more flexible and meaningful. These
statements allow users to filter, sort, group, and analyze data easily.
Understanding these SQL statements is very important for anyone working with databases,
whether they are students, programmers, data analysts, or database administrators. With
SQL, even large databases containing millions of records can be searched and managed
quickly and efficiently.
SECTION-C
5. What are issues in storing and maintaining huge transaction data ?
Ans: Issues in Storing and Maintaining Huge Transaction Data
In today’s digital world, organizations generate a massive amount of transaction data every
day. Transaction data refers to the information produced when any activity or exchange
takes place. For example, when a person uses a debit card in a supermarket, books a ticket
online, transfers money through mobile banking, or makes an online purchase, the system
records a transaction. These records include details such as date, time, amount, customer
information, product details, and payment method.
Large organizations such as banks, e-commerce companies, supermarkets, and government
departments process millions of transactions daily. Managing and storing such huge
amounts of data is not an easy task. There are many challenges and issues that
organizations face when dealing with large transaction databases. Understanding these
issues helps us realize why advanced database systems and technologies are needed.
Let us discuss the major issues involved in storing and maintaining huge transaction data.
1. Storage Capacity Problems
One of the biggest issues is storage capacity. Every transaction creates new data, and when
millions of transactions occur every day, the amount of data grows extremely fast.
For example, imagine a large online shopping website like Amazon. Every second thousands
of customers are placing orders, searching products, making payments, and leaving reviews.
All these activities generate data that must be stored safely.
Over time, the storage requirement becomes very large. Organizations need powerful
servers, large storage devices, and cloud systems to store this information. Managing such
large storage infrastructure becomes expensive and complex.