The document discusses the concept of big data, defined by its characteristics of volume, velocity, and variety, and its importance in enabling better decision-making, improving efficiency, and driving innovation across various industries. It outlines the processes of data collection, storage, processing, and analysis, as well as several applications of big data in fields like healthcare and finance. Additionally, the document highlights the challenges associated with big data, including data privacy, quality, and integration.

1. Big Data
By
Abdulaziz Awwad
Group 4
Supervised by
Prof. Dr. Hatem Zeini
11 September 2024 1
A brief introductory about a topic that is widely
getting in demand in today’s tech.
Course
Data Communication
444

2. Outlines
1.Preface of big data
2.Characteristics and attributes of big data
3.How big data works
4.Application of big data
5.Challenges of big data
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3. Preface of Big Data
- What is Big Data?
- The importance of Big Data
- Example of Big Data in everyday life
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4. What is Big Data?
• Big data is often defined by the challenges it presents in managing
rapidly growing data in terms of volume, speed, and variety, which
traditional databases struggle to handle.
• Simpler definition: the term “big data” as is clear from the name, it is
now about a very large amount of possible data such as that which is
possessed by the data that is constantly supported on social
networking sites.
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5. The Importance of Big Data
• Big Data helps businesses make better decisions by analyzing
patterns and trends. It was commonly used in Business Intelligence
(BI) systems.
• Big Data improves efficiency in industries like healthcare, finance and
other sectors.
• Big Data drives innovation and helps solve complex problems.
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6. Example of Big Data in everyday life
• Social media
• E-commerce
• Smart devices
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7. Characteristics and Attributes of Big
Data
- The Three V’s
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8. The Three V’s
• Volume: the massive amount of data generated every second.
• Social Media posts
• Emails
• Velocity: the speed at which data is generated and processed.
• Real-time data like stock market updates and live traffic information
• Variety: different formats of big data.
• Text
• Blobs
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9. How Big Data Works
Collection, Storing, Processing and Analyzing
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10. How Big Data Works
• Data Collection:
• Collection happens from various
sources like social media, sensors,
website crawling and IoT devices.
• Data Storage
• Big Data is often stored in cloud
systems or distributed storage
solutions.
• Object storage are commonly used
for use cases when gathering
unstructured data.
• Data Processing
• Processing big datasets with tools
like Hadoop and Spark which are
from Apache open source software.
• Data Analysis
• Data analyzed to uncover patterns,
trends.
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11. Application of Big Data
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12. Application of Big Data
• Healthcare
• Finance
• Government
• Entertainment
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13. Challenges of Big Data
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14. Challenges of Big Data
• Data Privacy and Security
• Managing Unstructured Data
• Data Quality
• Data Integration
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15. Reference
• Amazon AWS Cloud Computing Concepts Hub
• https://aws.amazon.com/what-is/big-data/
• TechTarget Data Management Strategies
• https://www.techtarget.com/searchdatamanagement/definition/bi
g-data
• EJADTECH
• https://ejadtech.sa/lbynt-ldkhm
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16. Thank You
For Your Attention
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