BIG DATA TEXNOLOGIYALARI YORDAMIDA AXBOROTLARNI TAHLIL QILISH VA PROGNOZ QILISH MAVZUSINI O‘QITISHDA INTERAKTIV VA AMALIY METODLARDAN FOYDALANISH
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Ключевые слова

Big Data, genetik, avtomatik, sikl, server, aqlli monitoring.

Аннотация

Bitiruv ishida “Big Data texnologiyalarini qo‘llash orqali axborotlarni tahlil qilish va prognoz qilish” mavzusining nazariy asoslari va ushbu mavzuni qishloq xo‘jaligi sohasi misolida o‘qitish metodikasi bayon etilgan. Mazkur bitiruv malaka ishida qishloq xo‘jaligi sohasida katta hajmdagi ma’lumotlarni (Big Data) qayta ishlash, tahlil qilish va ularning asosida prognozlar tuzish masalalari yoritilgan. Ishning dolzarbligi shundaki, bugungi kunda raqamli texnologiyalarni joriy etish orqali agrar sohada ishlab chiqarish samaradorligini oshirish, resurslardan oqilona foydalanish va hosildorlikni oldindan bashorat qilish imkoniyatlari kengaymoqda. Tadqiqot ob’ekti sifatida O‘zbekiston qishloq xo‘jaligida hosildorlik, agroiqlimiy omillar, suv resurslari va raqamli monitoring tizimlari ma’lumotlari tahlil qilingan

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Библиографические ссылки

O‘zbekiston Respublikasi Prezidentining PQ-4851-sonli qarori. – Toshkent, 2020-yil 5-oktabr.

O‘zbekiston Respublikasi Innovatsion rivojlanish vazirligi. Axborot texnologiyalarining iqtisodiyotdagi o‘rni bo‘yicha tahliliy hisobot. – Toshkent, 2023. – 36 b.

О‘zbekistоn Respublikаsi Prezidentining 2018 yil 5 iyundаgi “Оliy tа’lim muаssаsаlаridа tа’lim sifаtini оshirish vа ulаrning mаmlаkаtdа аmаlgа оshirilаyоtgаn keng qаmrоvli islоhоtlаrdа fаоl ishtirоkini tа’minlаsh bо‘yichа qо‘shimchа chоrа tаdbirlаr tо‘g‘risidа” PQ-3775 sоn Qаrоri.

О‘zbekistоn Respublikаsi Prezidentining 2017 yil 20 аpreldаgi “Оliy tа’lim tizimini yаnаdа rivоjlаntirish chоrа-tаdbirlаri tо‘g‘risidа”gi PQ-2909-sоn Qаrоri.

О‘zbekistоn Respublikаsi Prezidentining 05.10.2020 yildаgi “Rаqаmli О‘zbekistоn – 2030” strаtegiyаsini tаsdiqlаsh vа uni sаmаrаli аmаlgа оshirish chоrа-tаdbirlаri tо‘g‘risidа”gi PF-6079-sоn Fаrmоni.

Maxsus adabiyotlar ro‘yxati

Qurbonov A., Po‘latov S. Katta hajmdagi ma’lumotlarni qayta ishlashda zamonaviy yondashuvlar // TATU ilmiy jurnali. – 2021. – №2. – B. 45–50.

Karimov M. Raqamli iqtisodiyot va sun’iy intellekt. – Toshkent: Iqtisodiyot, 2022. – 220 b.

Raxmatov B. Ma’lumotlar bazasi va Big Data texnologiyalari. – Toshkent: Fan, 2023. – 200 b.

TATU o‘quv-uslubiy qo‘llanmasi: “Katta hajmdagi ma’lumotlarni tahlil qilish”. – Toshkent, 2022. – 75 b.

Ramzanov A. Sun’iy intellekt va ma’lumotlarni bashorat qilish texnologiyalari. – Toshkent: Ixtisoslashgan nashriyot, 2023. – 160 b.

Mayer-Schönberger V., Cukier K. Big Data: A Revolution That Will Transform How We Live, Work, and Think. – Boston: Houghton Mifflin Harcourt, 2013. – 242 p.

Davenport T. H. Big Data at Work: Dispelling the Myths, Uncovering the Opportunities. – Boston: Harvard Business Review Press, 2014. – 240 p.

White T. Hadoop: The Definitive Guide. – 4th ed. – Sebastopol: O'Reilly Media, 2015. – 800 p.

Witten I. H., Frank E., Hall M. A. Data Mining: Practical Machine Learning Tools and Techniques. – 4th ed. – Burlington: Morgan Kaufmann, 2016. – 664 p.

Marz N., Warren J. Big Data: Principles and best practices of scalable real-time data systems. – Shelter Island: Manning Publications, 2015. – 328 p.

Zhang Q., Yang L. T., Chen Z., Li P. A survey on deep learning for big data // Information Fusion. – 2018. – Vol. 42. – P. 146–157.

Gandomi A., Haider M. Beyond the hype: Big data concepts, methods, and analytics // International Journal of Information Management. – 2015. – Vol. 35, No. 2. – P. 137–144.

Dean J., Ghemawat S. MapReduce: Simplified Data Processing on Large Clusters // Communications of the ACM. – 2008. – Vol. 51, No. 1. – P. 107–113.

Russell M.Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More. – 3rd ed.– O'Reilly Media, 2019. – 620 p.

Provost F., Fawcett T. Data Science for Business. – O’Reilly Media, 2013. – 384 p.

Sadalage P. J., Fowler M. NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence. – Addison-Wesley, 2013. – 192 p.

Chen M., Mao S., Liu Y. Big Data: A Survey // Mobile Networks and Applications. – 2014. – Vol. 19. – P. 171–209.

Stonebraker M., Çetintemel U. "One size fits all": An idea whose time has come and gone // Proc. 21st Int. Conf. on Data Engineering. – 2005. – P. 2–11.

McKinsey Global Institute. Big Data: The Next Frontier for Innovation, Competition, and Productivity. – 2011. – [Elektron resurs]. – Mavjud: https://www.mckinsey.com

Python Software Foundation. Python 3 Documentation. – [Elektron resurs]. – 2023. – Mavjud: https://docs.python.org/

R Documentation. R Programming Language for Data Science and Big Data Analytics. – [Elektron resurs]. – 2023. – Mavjud: https://cran.r-project.org/

Apache Software Foundation. Apache Spark™ Documentation. – [Elektron resurs]. – 2023. – Mavjud: https://spark.apache.org/docs/latest/

MongoDB, Inc. MongoDB Official Manual. – [Elektron resurs]. – 2023. – Mavjud: https://www.mongodb.com/docs/

IBM Corporation. Introduction to Big Data Architecture. – [Elektron resurs]. – Mavjud: https://www.ibm.com/analytics/big-data-analytics

Google Cloud. BigQuery Documentation. – [Elektron resurs]. – Mavjud: https://cloud.google.com/bigquery

WSO2. Big Data Analytics Platform. – [Elektron resurs]. – Mavjud: https://wso2.com/analytics/

Journal of Big Data. SpringerOpen. – [Elektron resurs]. – Mavjud: https://journalofbigdata.springeropen.com/

III. Elektron ta’lim resurslari

O‘zbekiston Respublikasi Prezidentining rasmiy hujjatlari – Lex.uz. – [Elektron resurs]. – https://lex.uz

Open Data Portal of Uzbekistan – O‘zbekiston ochiq ma’lumotlar portali. – [Elektron resurs]. –https://data.gov.uz

IBM Big Data & Analytics. – [Elektron resurs]. – https://www.ibm.com/analytics/big-data-analyticsJournal of Big Data – SpringerOpen. – [Elektron resurs]. – https://journalofbigdata.springeropen.com/

Statista – Big Data statistics and market trends. – [Elektron resurs]. –https://www.statista.com/topics/1464/big-data/