Big Data is a term used to describe vast and complicated collections of data
- 1. Big Data and Hadoop Management Information System Dr. Parag Sanghani Group F Sara Alblooshi 200127327 Nouf Alalawi 200121069 Essa Ahli 200112307 Saeed Mohammed 200105434
- 2. Introduction • The rapid growth of information within the United Arab Emirates has changed how organizations operate and make decisions. Big data and Hadoop play a vital role in enabling companies to efficiently store, process, and analyze large datasets, leading to valuable insights and improved decision- making. • Understanding these technologies is crucial for managing data and making informed decisions in a country like the UAE.
- 3. What is Big Data ?
- 4. Big data refers to a large amount of complex data that traditional data management technologies cannot handle efficiently.
- 5. Characteristics of Big Data • Volume: Large quantity of data, typically ranging from terabytes to petabytes. • Variety: Data available in various forms, from unstructured to structured types. • Velocity: Importance of timely analysis and processing of data. • Veracity: Quality of data captured impacting precision in analyses. • Value: When data inconsistency sets in, it complicates the management and handling procedures.
- 6. Big Data Value • Importance: Big data holds significant value for organizations in gaining insights, making informed decisions, and improving operational efficiency. • Applications: Utilized in various industries like retail, healthcare, and marketing for personalized customer experiences and data- driven innovations. • Benefits: Uncovering hidden patterns, deriving actionable insights, and driving data-driven innovation for competitive advantage.
- 7. Hadoop • Definition: Hadoop is an open-source framework for storing, processing, and analyzing large datasets across distributed computing clusters. • Importance: Crucial for handling big data, enabling companies to make data-driven decisions and gain insights for better choices. • Features: Scalability, low cost, high computing power, huge storage capacity, and flexibility in processing structured and unstructured data.
- 8. Advantages • Enables organizations to scale data storage and processing efficiently. • Cost-effective solution for both small and medium-sized businesses. • Enhances data security and governance through robust measures like encryption and access controls.
- 9. Disadvantages • Not ideal for organizations with small data quantities. • Limited support for SQL and sequential access can be time- consuming. • Requires multiple tools to enhance capabilities and lacks encryption at storage and network levels.
- 10. Conclusion • Big data and Hadoop are integral components in the digital transformation of organizations, especially in the UAE. Embracing these technologies leads to enhanced decision- making, innovation, and competitiveness. • Investing in new technologies and skills to leverage data- driven insights is crucial for sustainable growth and shaping the digital future of businesses in the UAE.
- 11. THANK YOU