Difference between revisions of "Main Page"

Latest revision as of 20:30, 1 April 2022

Learn NoSQL using MongoDB.

 What is the capital of France?

db.world.findOne({name: "France"}).capital;

Top Tips

Tutorials: Learn NoSQL in stages

MongoDB

1 FIND Tutorial: Using Find.
2 AGGREGATE Tutorial: In which we query the world collection and make use of aggregate functions. (extra: AGGREGATE Movies Tutorial)
3 MAPREDUCE Tutorial: Using MapReduce.
4 MAPREDUCE Elite: MapReduce questions using the Elite Dangerous dataset.

Neo4j

1 MATCH Tutorial: Using MATCH
2 Relationships Tutorial: Understanding Relationships

Reference: How to...

AGGREGATE Examples
FIND
FIND Examples
JavaScript: Fundamentals
JavaScript: Computed Properties
MAPREDUCE
NOSQLZOO: 'elite' dataset schema
RegEx Pattern Matching

MongoDB resources

Manuals: MongoDB Documentation MongoDB Documentation GitHub
Python 3 Documentation PyMongo API Documentation
Karl Seguin's The Little MongoDB Book

Acknowledgements

NoSQLZoo is made possible by the following open-source technologies:

jQuery JSHint CodeMirror MediaWiki MariaDB

@@ Line 1: / Line 1: @@
-<pre class=setup>
+Learn NoSQL using MongoDB.
-#ENCODING
+<div class="q nonum" data-lang="mongo">
-import io
+  What is the capital of France?
-import sys
+  <pre class="def"><nowiki>db.world.findOne({name: "France"}).capital;</nowiki></pre>
-sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-16')
+</div>
-#MONGO
-from pymongo import MongoClient
-client = MongoClient()
-client.progzoo.authenticate('scott','tiger')
-db = client['progzoo']
-#PRETTY
-import pprint
-pp = pprint.PrettyPrinter(indent=4)
-</pre>
-<div style="height:25em">
 {{TopTenTips}}
-Learn NoSQL using: MongoDB, PyMongo, and Python3.4
+<div style="min-height:25em">
-</div>
+==Tutorials: Learn NoSQL in stages==
-<div class=q data-lang="py3">
-Show all the capital of France.
+===MongoDB===
-<pre class=def>
+; 1 [[FIND Tutorial|FIND Tutorial]]:Using Find.
-pp.pprint(list(
+; 2 [[AGGREGATE Tutorial|AGGREGATE Tutorial]]:In which we query the world collection and make use of aggregate functions. (extra: [[AGGREGATE Movies Tutorial|AGGREGATE Movies Tutorial]])
-    db.world.find({"name":"France"},{"_id":0,"capital":1})
+; 3 [[MAPREDUCE Tutorial]]:Using MapReduce.
-))
+; 4 [[MAPREDUCE Elite]]:MapReduce questions using the Elite Dangerous dataset.
-</pre>
+===Neo4j===
+; 1 [[Space_Race/MATCH_Tutorial|MATCH Tutorial]]: Using MATCH
+; 2 [[Space_Race/Relationships_Tutorial|Relationships Tutorial]]: Understanding Relationships
 </div>
-==Tutorials: Learn NoSQL in stages==
-; [[FIND basics|0 FIND basics]]:Some examples of common queries.
-; [[AGGREGATE world|1 AGGREGATE world]]:In which we query the world collection and make use of aggregate functions.
-; [[MAPREDUCE basics|2 MAPREDUCE basics]]:Using MapReduce.
-; [[MAPREDUCE elite|3 MAPREDUCE elite]]:MapReduce questions using the Elite Dangerous dataset.
 ==Reference: How to...==
-; [[AGGREGATE]]
+; [[AGGREGATE examples | AGGREGATE Examples]]
-; [[MAPREDUCE]]
+; [[Find|FIND]]
+; [[FIND Examples]]
+; [[JavaScript: Fundamentals]]
+; [[JavaScript: Computed Properties]]
+; [[MapReduce | MAPREDUCE]]
 ; [[Elite Document Structure|NOSQLZOO: 'elite' dataset schema]]
 ; [[RegEx Pattern Matching]]
 ==MongoDB resources==
-;Manuals: [http://docs.mongodb.org/manual/ MongoDB Documentaion] [https://github.com/mongodb/docs MongoDB Documentation GitHub]<br/>[https://docs.python.org/3/ Python 3 Documentaion] [http://api.mongodb.org/python/current/ PyMongo API Documentation]<br/> Karl Seguin's [http://openmymind.net/mongodb.pdf The Little MongoDB Book]
+;Manuals: [http://docs.mongodb.org/manual/ MongoDB Documentation] [https://github.com/mongodb/docs MongoDB Documentation GitHub]<br/>[https://docs.python.org/3/ Python 3 Documentation] [http://api.mongodb.org/python/current/ PyMongo API Documentation]<br/> Karl Seguin's [http://openmymind.net/mongodb.pdf The Little MongoDB Book]
+{{Acknowledgements}}

Latest revision as of 20:30, 1 April 2022

Contents

Tutorials: Learn NoSQL in stages

MongoDB

Neo4j

Reference: How to...

MongoDB resources

Acknowledgements