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NoSQL With MongoDB in 24 Hours, Sams Teach Yourself

312 ج.م.
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* Publisher‎:‎ Pearson Education ‎(‎US‎)‎ * Copyright‎:‎2014 * Language‎:‎ English * ISBN13 ‎:‎9780672337130 * Number Of Pages‎:‎ 544 pages * Edition‎:‎1 Nosql databa... المزيد عند جوميا

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* Publisher‎:‎ Pearson Education ‎(‎US‎)‎ * Copyright‎:‎2014 * Language‎:‎ English * ISBN13 ‎:‎9780672337130 * Number Of Pages‎:‎ 544 pages * Edition‎:‎1 Nosql databa... المزيد عند جوميا

سعر ومواصفات NoSQL With MongoDB in 24 Hours, Sams Teach Yourself

  • أفضل سعر لـ NoSQL With MongoDB in 24 Hours, Sams Teach Yourself من جوميا فى مصر هو 312 ج.م.
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    دفع عند الاستلامبطاقة ائتمانيةالدفع البديل
  • تكلفة التوصيل هى 15 ج.م., والتوصيل فى خلال 2-5 أيام
  • أول ظهور لهذا المنتج كان فى مارس 20, 2016

المواصفات الفنية

SKU:JU030BKAJO83NAFAMZ
الموديل:BACCAH ‎- 9780672337130
الخامة الأساسية:Paperback
المؤلف:Brad Dayley

وصف جوميا

  • Publisher‎:‎ Pearson Education ‎(‎US‎)‎
  • Copyright‎:‎2014
  • Language‎:‎ English
  • ISBN13 ‎:‎9780672337130
  • Number Of Pages‎:‎ 544 pages
  • Edition‎:‎1
Nosql database usage is growing at a stunning 50% per year‎,‎ as organizations discover nosql‎'‎s potential to address even the most challenging big data and real‎-time database problems‎.‎ Every nosql database is different‎,‎ but one is the most popular by far‎:‎ mongodb‎.‎ Now‎,‎ in just 24 lessons of one hour or less‎,‎ you can learn how to leverage mongodb‎'‎s immense power‎.‎ Each short‎,‎ easy lesson builds on all that‎'‎s come before‎,‎ teaching nosql concepts and mongodb techniques from the ground up‎.‎ Sams teach yourself nosql with mongodb in 24 hours covers all this‎,‎ and much more‎:‎ * learning how nosql is different‎,‎ when to use it‎,‎ and when to use traditional rdbmses instead* designing and implementing mongodb databases of diverse types and sizes* storing and interacting with data via java‎,‎ php‎,‎ python‎,‎ and node‎.‎Js/mongoose* choosing the right nosql distribution model for your application* installing and configuring mongodb* designing mongodb data models‎,‎ including collections‎,‎ indexes‎,‎ and gridfs* balancing consistency‎,‎ performance‎,‎ and durability* leveraging the immense power of map‎-reduce* administering‎,‎ monitoring‎,‎ securing‎,‎ backing up‎,‎ and repairing mongodb databases* mastering advanced techniques such as sharding and replication* optimizing performance

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