the-magical-marvels-of-mongodb-slides

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Conjuring MongoDB Level 1 – Section 1 Introducing MongoDB
What Is MongoDB? • Open-source NoSQL database Catch-all term for databases that generally aren’t relational and don’t have a query language like SQL • Document-oriented • Great for unstructured data, especially when you have a lot of it Began developing MongoDB as part of their stack Open-sourced Name comes from the word “humongous” X Renamed to MongoDB 2007 2009 2013
Page 2 and 3: Example Application Potion Reviews
Page 6 and 7: MongoDB Comparison to SQL SQL Mongo
Page 8 and 9: Collections Group Documents Collect
Page 10 and 11: How Do We Interact With MongoDB? Al
Page 12 and 13: Using the Shell MongoDB comes with
Page 14 and 15: Inserting a Document Into a Collect
Page 16 and 17: Finding All Potions We can use the
Page 18 and 19: Conjuring MongoDB Level 1 - Section
Page 20 and 21: Finding a Specific Potion With a Qu
Page 22 and 23: What Else Can We Store? Documents a
Page 24 and 25: Adding Price and Score We can store
Page 26 and 27: Adding a List of Ingredients Arrays
Page 28 and 29: Embedded Documents We embed documen
Page 30 and 31: Finding Potions by Ingredients Arra
Page 32 and 33: What About Insert Validations? If w
Page 34 and 35: Validations Supported by MongoDB Mo
Page 36 and 37: Mystical Modifications Level 2 - Se
Page 38 and 39: Delete a Single Document The remove
Page 40 and 41: Delete Multiple Documents If our qu
Page 42 and 43: Updating a Document We can use the
Page 44 and 45: Update Without an Operator If the u
Page 46 and 47: Recording Potion Views Time to star
Page 48 and 49: Update a Non-existing Potion If we
Page 50 and 51: Updating Once More If we run the sa
Page 52 and 53: Improving Potions We rushed a bit d
Page 54 and 55:
Updating a Field Name With $rename
Page 56 and 57:
The Dilemma of Updating an Array Na
Page 58 and 59:
Updating Single Array Value The $se
Page 60 and 61:
Updating Values Without Knowing Pos
Page 62 and 63:
Shrunken Conundrum Uh-oh — the sh
Page 64 and 65:
Useful Update Operators MongoDB pro
Page 66 and 67:
Removing the First or Last Value of
Page 68 and 69:
Adding Unique Values to an Array Th
Page 70 and 71:
Materializing Potions Level 3 - Sec
Page 72 and 73:
Querying With Multiple Criteria We
Page 74 and 75:
Comparison Query Operators We can u
Page 76 and 77:
Finding Potions Between Prices We c
Page 78 and 79:
Range Queries on an Array Each poti
Page 80 and 81:
Be Careful When Querying Arrays Wit
Page 82 and 83:
Not Matching a Document Conversely,
Page 84 and 85:
Listing Our Best Potions We’re pu
Page 86 and 87:
Excluding Fields Sometimes you want
Page 88 and 89:
Either Select or Exclude Fields Whe
Page 90 and 91:
Introducing the Cursor Whenever we
Page 92 and 93:
Continuing to Iterate Through the C
Page 94 and 95:
Sort by Price We want to implement
Page 96 and 97:
Paginating the Potions Page We only
Page 98 and 99:
Basic Pagination We can implement b
Page 100 and 101:
Morphing Models Level 4 - Section 1
Page 102 and 103:
Storing Favorites Within a User Use
Page 104 and 105:
Storing Vendor Information Each pot
Page 106 and 107:
Referencing Vendor Information Inst
Page 108 and 109:
Querying a Referenced Document In o
Page 110 and 111:
More Features of Embedded Documents
Page 112 and 113:
Referenced Documents Exist Independ
Page 114 and 115:
Dangers of Not Having Transactions
Page 116 and 117:
Choosing Which Route to Take When d
Page 118 and 119:
First Question: How Will the Data B
Page 120 and 121:
Second Question: What’s the Size
Page 122 and 123:
Third Question: Will the Data Chang
Page 124 and 125:
Embedding Comments in Potions We ca
Page 126 and 127:
Data Modeling Guidelines and Takeaw
Page 128 and 129:
Finding the Number of Potions Per V
Page 130 and 131:
Using the Aggregation Framework to
Page 132 and 133:
Field Paths Vs. Operators When valu
Page 134 and 135:
Averaging Potion Grade Per Vendor N
Page 136 and 137:
Using $max and $min Together Name:
Page 138 and 139:
Pulling Conditional Vendor Informat
Page 140 and 141:
How the Pipeline Works Each stage m
Page 142 and 143:
Grouping Potions With Data db.potio
Page 144 and 145:
Matching Potions Under $15 Query st
Page 146 and 147:
Grouping Potions by Vendor Group st
Page 148 and 149:
Limiting the Number of Documents We
Page 150 and 151:
Projections While Aggregating We ca
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