PluralSight.Querying.Data.Using.Map.reduce.in.MongoDB.Bookware-KNiSO

Section
Appz
Group
KNiSO
Size
143,35 MB
Files
13
Date
2020-08-22

NFO







________                  ________    ______           _.______ _________
\       \    !    _______ \       \   \     \    ______\       \\        \
|       |         \      \|       |   |     |    \   .         ||        |
:       |..KNiSO..|      |/       |   \_____\    |   \_________\|        :
.       : ________|      /        |  _______ ____\_____         |       _.______
|       ./       /|               | /      //         /         :      /       /
|               / |               :/      / |         |         .      |       |
:               \ :        /      .       \ :         :         .      :       :
.       .        \.       /                \.         .         :      .       .
.       :\                |                                     |              .
\_______\ \_______\_______\_______\_________\___________________\______________\
                                                                             19
                              PROUDLY PRESENTING:
                    
                     Querying.Data.Using.Map-reduce.in.MongoDB



				 INFORMATION:

  Date............: 2020-08-20
  Rars............: 11 Rar Files
  Course Length...: 1 hrs 40 mins
  Website.........: https://www.pluralsight.com/courses/querying-data-map-reduce-mongodb

			      Release Notes...:
                                                                              
    Working with large volumes of document data for analytics
    requires the power and flexibility of MongoDB’s Map-reduce
    feature. In this course, Querying Data Using Map-reduce in
    MongoDB, you’ll gain the ability to get yourself fully
    equipped to confidently apply the Map-reduce pattern to any
    data set no matter how large it could be. First, you’ll
    discover the requirement for Map-reduce among other
    aggregation capabilities of MongoDB. Next, you’ll explore how
    to create a custom JavaScript map function and a reduce
    function that are needed to perform map and reduce
    operations. Finally, you’ll learn how to use these custom
    functions to perform a Map-reduce operation on a MongoDB data
    set to aggregate results across documents. When you’re
    finished with this course, you’ll have the skills and
    knowledge of working with the Map-reduce function in MongoDB
    that will help you leverage the power of MongoDB’s
    aggregation feature for data crunching requirements in your
    next project.

			      Install Notes...: 
			 Unrar, Learn and Enjoy!                                                                            
                                                     
                         
			      GREETINGS:

 - KNOWN - HONOR - SKIDROW - DARKSiDERS - DAUDiO - JAVSiDERS - dbOOk - z0ne -
        

Files

PathSize
kniso-querying.data.using.map.reduce.in.mongodb.nfo2,73 KB
kniso-querying.data.using.map.reduce.in.mongodb.r0014,31 MB
kniso-querying.data.using.map.reduce.in.mongodb.r0114,31 MB
kniso-querying.data.using.map.reduce.in.mongodb.r0214,31 MB
kniso-querying.data.using.map.reduce.in.mongodb.r0314,31 MB
kniso-querying.data.using.map.reduce.in.mongodb.r0414,31 MB
kniso-querying.data.using.map.reduce.in.mongodb.r0514,31 MB
kniso-querying.data.using.map.reduce.in.mongodb.r0614,31 MB
kniso-querying.data.using.map.reduce.in.mongodb.r0714,31 MB
kniso-querying.data.using.map.reduce.in.mongodb.r0814,31 MB
kniso-querying.data.using.map.reduce.in.mongodb.r09302,15 KB
kniso-querying.data.using.map.reduce.in.mongodb.rar14,31 MB
kniso-querying.data.using.map.reduce.in.mongodb.sfv682 B