Big Data Overview and Characteristics

What is the estimated amount of data the world will generate by 2025?

Which of the following describes a characteristic of 'Velocity' in the context of Big Data?

Which statement regarding the sources of data is accurate?

What percentage of global data is stored in relational databases?

In Hadoop Distributed File System (HDFS), how is data managed across servers?

What is a defining feature of a Datalake?

What is the main benefit of using NoSQL databases for Big Data?

Which aspect of Big Data refers to the authenticity and trustworthiness of data?

Big Data

Data is crucial for decision-making in all business areas.
Data volume is projected to reach 175 zettabytes (ZB) (1 billion gigabytes) by 2025, significantly increasing from 2010 levels.
Daily internet data generation is estimated at 2.5 million gigabytes.
90% of data was generated in the last two years.

The 5 Vs of Big Data

Velocity: Data streams arrive in batch, near real-time, real-time, and streaming formats.
Variety: Data exists in structured, unstructured, and semi-structured formats.
Volume: Data is measured in terabytes, records, and transactions.
Veracity: Trustworthiness, authenticity, origin, and reputation.
Value: Statistical patterns, events, correlations, and potential insights.

Data Sources

Key sources include Facebook (500,000 tweets per minute), Twitter, Instagram (347,222 posts per minute), and Internet of Things (IoT) devices (75 million connected devices generating data).

Data Storage

Less than 20% of data is stored in relational databases (databases used for structured data such as banks and customers).
80% of data is unstructured (text, images, video), stored in NoSQL and cloud-based big data architectures.

Explore the essential concepts of Big Data, including the critical role data plays in decision-making across businesses. Understand the 5 Vs of Big Data: Velocity, Variety, Volume, Veracity, and Value, and learn about the diverse sources and storage options for vast data volumes.