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Big data tahlili
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| bet | 5/71 | | Sana | 04.04.2023 | | Hajmi | 1.27 Mb. | | #48594 |
Bog'liq Big data tahlili Doc9, 1576160537, 6-sinf-barcha-chorak-uchun-matematika-test-5 (1), e`lon (1), BIG DATA MUSTAQIL ISH-2022., Kompaniyalarni boshqarishdagi korporativ siyosat mazmuni maqsadi, Sillabus МТvaА uzb 2023-2024 3 tm, Tovarlar va ularning xususiyatlariSpatial Databases ........................................................................................125
Polyglot Persistence ....................................................................................128
Chapter 8: MapReduce Fundamentals . . . . . . . . . . . . . . . . . . . . . . . . . 131
Tracing the Origins of MapReduce ..........................................................131
Understanding the map Function .............................................................131
Adding the reduce Function ......................................................................132
Putting map and reduce Together ............................................................134
Optimizing MapReduce Tasks .................................................................139
Chapter 9: Exploring the World of Hadoop . . . . . . . . . . . . . . . . . . . . . .143
Explaining Hadoop ...................................................................................143
Understanding the Hadoop Distributed File System (HDFS) ..............144
Hadoop MapReduce .................................................................................150
Chapter 10: The Hadoop Foundation and Ecosystem . . . . . . . . . . . . . 155
Building a Big Data Foundation with the Hadoop Ecosystem ..............155
Managing Resources and Applications with Hadoop YARN ...............156
Storing Big Data with HBase ..................................................................157
Mining Big Data with Hive ......................................................................159
Interacting with the Hadoop Ecosystem .................................................160
Chapter 11: Appliances and Big Data Warehouses . . . . . . . . . . . . . . .167
Integrating Big Data with the Traditional Data Warehouse ................167
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