Volume 15 Issue 06, June 2025
Impact factor: 2019: 4.679 2020: 5.015 2021: 5.436, 2022: 5.242, 2023:
6.995, 2024 7.75
http://www.internationaljournal.co.in/index.php/jasass
805
BIG DATA AND ITS IMPORTANCE
Jalolov Tursunbek Sadriddinovich
Asia International University associate professor PhD
Maxdiyeva Manzura Muxiddinovna
Asia International University student
Annotation:
This in the article digital transformation in the process big in size The concept of
Big Data , its main characteristics , technological basis , practical application , advantages and
face bride problems about in detail information Big Data is today's on the day economy , health
conservation , education , industry , social networks such as in the fields important place This
is article big information with worker professionals , students and IT industry with interested
parties for important manual task will do .
Login
Information technologies sharp development , internet, mobile devices , social networks , IoT
(Internet of Things) and other digital sources through being created information size sharp is
increasing . Every day in activity humanity in front of many digital traces leaves : shopping ,
navigation , health about information , social activities and This information
not only big in
size , maybe various in forms , high at speed and various in accuracy Such information will be
simple methods with analysis to do possible no , that's it because Big Data technologies to the
surface arrived .
Home part
1. What is Big Data ?
Big Data is size very large , structured and unstructured information They are complex . again
performance , analysis to do and from it useful information to take traditional information base
systems using difficult Big Data technologies such information on effective work opportunity
gives .
2. Big Data main Features : "5V model "
- Volume
- Velocity
- Variety (Various forms )
- Veracity
- Value
3. Big Data technologies and platforms
- Hadoop, Spark, MongoDB, Cassandra, AWS, Google Cloud, Power BI and others
4. Big Data architecture
-
Information collection , storage , recycling performance , analysis and visualization stages
Volume 15 Issue 06, June 2025
Impact factor: 2019: 4.679 2020: 5.015 2021: 5.436, 2022: 5.242, 2023:
6.995, 2024 7.75
http://www.internationaljournal.co.in/index.php/jasass
806
5. Big Data Specializations
- Data Analyst, Data Scientist, Data Engineer, ML Engineer
6. Application sectors
- Health storage , banking, marketing, industry , agriculture agriculture , transport
7. Advantages
- Fast decision acceptance to do , automation , competitiveness
8. Problems
- Privacy , security , infrastructure expenses , specialist shortage
9. Big Data and AI integration
- AI's effective performance Big Data is needed for
10. Future prospects
- Quantum computing, DaaS, automated data engineering
Conclusion
Big Data technologies digital of the economy basis is , data over effective management provides .
Large- scale from data benefit to take not only companies , maybe whole society for new
opportunities creates them . right management , analysis to do and protection to do modern
technological of progress is the key .
Used literature
1. "Big Data Fundamentals" - Thomas Earle
2. Apache Hadoop & Spark official documents
3. IBM Big Data Analytics whitepaper
4. Microsoft Azure Big Data Documentation
5. Google BigQuery references
6. Coursera – Big Data Specialization
7. DataCamp – Data Science and Analytics courses
8. O'Reilly Media – Data Engineering Books
9. Stack Overflow and GitHub – open source projects
10. Kaggle – a real project and analyses
