Data volume exceeds storage capacity; addressed by increasing storage space

Data arrives faster than it can be processed; addressed by implementing stream processing solutions

IoT devices use incompatible data formats; addressed by standardizing data formats

All devices require constant internet connection; addressed by creating offline data processing capabilities

By limiting the number of users accessing the database

By using stricter schema definitions

By optimizing query execution and caching frequently accessed data

By reducing the size of the dataset

Normalizing the database schema

Implementing sharding or partitioning strategies

Converting the NoSQL database to a SQL database

Decreasing the write consistency level

SET AUTOSCALE ON

MODIFY DATABASE SET SCALING=AUTOMATIC

UPDATE SCALING POLICY AUTO

Configure auto-scaling settings through the database's management console

JSON_QUERY

SELECT JSON

JSONB_PATH_QUERY

GET_JSON_ITEM

Reducing cloud computing costs

Increasing the physical security of data centers

Minimizing latency by processing data closer to the source of data generation

Maximizing the efficiency of centralized databases

By centralizing data storage

By making data immutable and enabling transparent access

By encrypting all stored data

By limiting data access to administrators

Graph databases use SQL for querying, while relational databases do not

Graph databases are primarily used for data warehousing

Graph databases are optimized for storing and querying data relationships

Relational databases cannot store complex, interconnected data

A type of SQL database optimized for large-scale transactions

A storage repository that holds a vast amount of raw data

A new algorithm for data encryption

An advanced form of data masking technique

Hadoop Distributed File System (HDFS)

Online Analytical Processing (OLAP)

Stream Processing

Data Warehousing

Validating user inputs

Sanitizing user inputs

Using prepared statements

Sanitizing and using prepared statements

Regular database software updates

Strict password policies

Regular security audits

Security patch implementation

Permissions were revoked

The table was deleted

Database restored to a previous state

Permissions error

REVOKE ALL PRIVILEGES FROM user_name

REVOKE ACCESS FROM user_name

REMOVE ALL PRIVILEGES user_name

DENY ALL FROM user_name

CREATE USER 'user_name' IDENTIFIED BY 'password'; GRANT privileges ON database_name.* TO 'user_name'

CREATE USER 'user_name' WITH privileges

USE 'user_name' WITH privileges

INITIATE USER 'user_name' WITH privileges

GRANT SELECT ON table_name TO user_name

ALTER TABLE table_name ALLOW READ FOR user_name

ENABLE READ ON table_name TO user_name

SET READ PERMISSION ON table_name FOR user_name

By encrypting all data

By allowing unrestricted access

By assigning permissions to roles, not individuals

By using complex passwords

Data encryption algorithms

Data indexing strategies

Authentication and authorization

Data normalization techniques

A method for encrypting SQL queries

A technique for improving SQL query performance

An attack by inserting malicious SQL into a query

A query optimization tool

Data masking

Data encryption

Data replication

Data indexing