SlideShare a Scribd company logo
1 of 128
Download to read offline
Introducing…
db.coll.insert({
_id: 1,
name: "Doris",
ssn: "457-55-5462"
})
doc = db.coll.find_one({
ssn: "457-55-5462"
})
print (doc)
{
_id: 1
name: "Doris",
ssn: "457-55-5462"
}
db.coll.insert({
name: "Doris",
ssn: "457-55-5462"
})
{
insert: "coll",
documents: [{
name: "Doris",
ssn: BinData(6, "a10x…")
}]
}
You see: MongoDB sees:
Encrypt before sending
{
_id: 1
name: "Doris",
ssn: BinData(6, "a10x…")
}
Driver receives: You see:
{
_id: 1
name: "Doris",
ssn: "457-55-5462"
}
Decrypt after receiving
How does this differ from…?
•… encryption in-transit (TLS)
•… encryption at-rest (encrypted storage engine)
Attacker
query
App
(Client)
Disk
insert write
MongoDB
Auth
db.coll.insert({ name: "Doris", ssn: "457-55-5462" })
Disk
insert write
MongoDB
Attacker
snoop
TLS
db.coll.insert({ name: "Doris", ssn: "457-55-5462" })
App
(Client)
Disk
insert write
MongoDB
Attacker
insert
TLS
db.coll.insert({ name: "Doris", ssn: "457-55-5462" })
App
(Client)
Disk
insert write
MongoDB
Attacker
steal
ESE
db.coll.insert({ name: "Doris", ssn: "457-55-5462" })
App
(Client)
Disk
insert write
MongoDB
Attacker
login
Client Side Encryption
db.coll.insert({ name: "Doris", ssn: "457-55-5462" })
App
(Client)
Disk
insert write
MongoDB
Boundaries of unencrypted data
App
(Client)
Disk
insert write
MongoDB
… with Encrypted Storage Engine
App
(Client)
Disk
insert write
MongoDB
… and TLS
App
(Client)
Disk
insert write
MongoDB
with Client Side Encryption
App
(Client)
Disk
insert write
MongoDB
ssn: BinData(6, "a10x…")
App
(Client)
db.coll.update({}, {
$set: { ssn: "457-55-5462" }
})
{
update: "coll",
updates: [{
q:{},
u: {
$set: { ssn: BinData(6, "a10x…") }
}
}]
}
You see: MongoDB sees:
Update that overwrites value
db.coll.aggregate([{
$project: { name_ssn: {$concat: [ "$name", " - ", "$ssn" ] } }
}]
Aggregate acting on the data
Find with equality query
* For deterministic encryption
db.coll.find({ssn: "457-55-5462" }) {
find: "coll",
filter: { ssn: BinData(6, "a10x…") }
}
You see: MongoDB sees:
Find with equality query
* For deterministic encryption
db.test.find(
{
$and: [
{
$or: [
{ ssn : { $in : [ "457-55-5462", "153-96-2097" ]} },
{ ssn: { $exists: false } }
]
},
{ name: "Doris" }
]
}
)
You see:
Find with equality query
* For deterministic encryption
MongoDB sees:
{
find: "coll",
filter: {
$and: [
{
$or: [
{ ssn : { $in : [ BinData(6, "a10x…"), BinData(6, "8dk1…") ]} },
{ ssn: { $exists: false } }
]
},
{ name: "Doris" }
]
}
}
MongoDB
Attacker
Login
Destroy the key
Provably delete all user data.
GDPR "right-to-be-forgotten"
Doris
Private stuff in storage
PoliceDoris
Private stuff in storage
Vault key
Held only by you
Vault
Encrypted Data
MongoDB
Encryption Key
{ _id: 1, ssn: BinData(0, "A81…"), name: "Kevin" }
{ _id: 2, ssn: BinData(0, "017…"), name: "Eric" }
{ _id: 3, ssn: BinData(0, "5E1…"), name: "Albert" }
…
client = MongoClient(
auto_encryption_opts=opts)
Not sensitive
{
One key for all vaults
One key per vault
{
name: "Doris"
ssn: "457-55-5462",
email: "Doris@gmail.com",
credit_card: "4690-6950-9373-8791",
comments: [ …. ],
avatar: BinData(0, "0fi8…"),
profile: { likes: {…}, dislikes: {…} }
}
Describes JSON
{
bsonType: "object",
properties: {
a: {
bsonType: "int"
maximum: 10
}
b: { bsonType: "string" }
},
required: ["a", "b"]
}
{
a: 5,
b: "hi"
}
{
a: 11,
b: false
}
JSON Schema
{
bsonType: "object",
properties: {
ssn: {
encrypt: { … }
}
},
required: ["ssn"]
}
JSON Schema "encrypt"
encrypt: {
keyId: (…),
algorithm: (…),
bsonType: (…)
}
bsonType indicates the type of underlying data.
algorithm indicates how to encrypt (Random or Deterministic).
keyId indicates the key used to encrypt.
opts = AutoEncryptionOptions(
schema_map = { "db.coll": <schema> }
…)
Remote Schema Fallback
db.createCollection("coll", { validator: { $jsonSchema: … } } )
Misconfigured
Client insert "457-55-5462"
error, that should be
encrypted
MongoDB
What if
… the server lies about the schema?
Misconfigured
Client insert "457-55-5462"
Evil MongoDB
ok :)
schema_map
Sub-options
Key vault
Key vault key
Held only by you
Stores encrypted keys
opts = AutoEncryptionOptions(
schema_map = { "db.coll": <schema> },
key_vault_namespace = "db.keyvault"
…)
schema_map
Sub-options
key_vault_namespace
What if
… attacker drops key vault collection?
Keep at home
opts = AutoEncryptionOptions(
schema_map = { "db.coll": <schema> },
key_vault_namespace = "db.keyvault",
key_vault_client = <client>
…)
schema_map
Sub-options
key_vault_namespace
key_vault_client
(Key Management Service)
Protects keys Stores keys
KMS
Key vault key
Key vault
Key vault
collection
Decryption requires
opts = AutoEncryptionOptions(
schema_map = { "db.coll": <schema> },
key_vault_namespace = "db.keys",
kms_providers = <creds>
…)
schema_map
Sub-options
key_vault_namespace
key_vault_client
kms_providers
db.coll.insert({
name: "Doris",
ssn: "457-55-5462"
})
Get encrypted key
Decrypt the key with KMSDecrypt the key with KMS
Encrypt 457-55-5462
Send insert
Compare to JSON schema
You need…
•MongoDB 4.2 server
•Beta client (shell, Java, Python, NodeJS, Go, C#)
•Enterprise license for auto encryption
•Community for explicit encryption
*
Authenticated Encryption with Associated Data using the Advance
AEAD_AES_256_CBC_HMAC_SHA_512
Provides confidentiality + integrity
AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic
AEAD_AES_256_CBC_HMAC_SHA_512-Random
coll.insert({ ssn: "457-55-5462" }) { ssn: BinData(6, "a10x…") }
You see: MongoDB stores:
coll.insert({ ssn: "457-55-5462" }) { ssn: BinData(6, "f991…") }
…Random
coll.insert({ ssn: "457-55-5462" }) { ssn: BinData(6, "a10x…") }
You see: MongoDB stores:
coll.insert({ ssn: "457-55-5462" }) { ssn: BinData(6, "a10x…") }
…Deterministic
Can be queried
doc = db.coll.find({
ssn: "457-55-5642"
})
…Deterministic
Only for binary comparable types.
db.coll.find({ a: NumberDecimal("1.2")})
{ a: NumberDecimal("1.2") }
{ a: NumberDecimal("1.20") }
MongoDB returns:
…Deterministic
{ a: BinData(6, "b515…") }
{ a: BinData(6, "801f…") }
Encrypted as:
{ a: NumberDecimal("1.2") }
{ a: NumberDecimal("1.20") }
Value:
db.coll.find({ a: NumberDecimal("1.2") })
{ a: NumberDecimal("1.2") }
MongoDB returns:
"a" encrypted
Encrypt-able values
Deterministic encryption valid for…
•String
•Binary
•ObjectID
•Date
•Regex
•DBPointer
•Javascript
•Symbol
•Int
•Timestamp
•Long
Random encryption valid for…
•(all of deterministic)
•Document
•Array
•JavascriptWithScope
•Double
•Decimal128
•Bool
{ ssn: BinData(6, "AWNkTYTCw89Ss1DPzV3/2pSRDNGNJ9NB" }
New binary subtype
Older drivers and older MongoDB will treat as a black box.
byte algorithm
byte[16] key_id
byte original_bson_type
byte* payload
Ciphertext
byte algorithm
byte[16] key_id
byte original_bson_type
byte* payload
key_id + algorithm describes how to decrypt.
No JSON Schema necessary!
Ciphertext
byte algorithm
byte[16] key_id
byte original_bson_type
byte* payload
Provides extra server-side validation.
But prohibits single-value types (MinKey, MaxKey, Undefined, Null)
Ciphertext
byte algorithm
byte[16] key_id
byte original_bson_type
byte* payload
Payload includes encoded IV and padding block, and HMAC.
Ciphertext adds between 66 to 82 bytes of overhead.
Ciphertext
ce = ClientEncryption(opts)
encrypted = ce.encrypt("457-55-5462", opts))
decrypted = ce.decrypt(BinData(6, "a10x…")))
id = ce.createDataKey(opts)
db.test.find({
$or: [
{ ssn : { $in : [ "457-55-5462", "153-96-2097" ]} },
{ name: "Doris" }
]
})
db.test.find({
$or: [
{ ssn : { $in : [ BinData(6, "a10x…"), BinData(6, "8dk1…") ]} },
{ name: "Doris" }
]
})
Limitations
If we cannot parse…
or it is impossible…
we err for safety.
{ passport_num: "281-301-348", ssn: "457-55-5462" }
{ passport_num: "390-491-482", ssn: "482-38-5899" }
{ passport_num: "104-201-596" }
passport_num and ssn encrypted with different keys
db.test.aggregate([
])
{ $project: { identifier: { $ifNull: ["$ssn", "$passport_num" ] } } },
{ $match: { identifier: "457-55-5462" } }
How do we encrypt 457-55-5462?
opts = AutoEncryptionOptions(
bypass_auto_encryption = True
…)
client = MongoClient(auto_encryption_opts=opts)
(Decryption still occurs)
ce = ClientEncryption(opts)
db.test.aggregate([
])
{ $project: { identifier: { $ifNull: ["$ssn", "$passport_num" ] } } },
{ $match: { identifier: ce.encrypt("457-55-5462", opts) } }
One key
ce = ClientEncryption(opts)
id = ce.createDataKey(keyopts)
Create with ClientEncryption
One key
Specify with JSONSchema
…
ssn: {
encrypt: {
keyId: [id],
algorithm: (…),
bsonType: (…)
}
}
One key
db.coll.insert({
name: "Doris",
ssn: "457-55-5462"
})
Query key vault by _id
Compare to JSON schema
Labeled keys
ce = ClientEncryption(opts)
id = ce.createDataKey(keyopts, keyAltNames=["Doris"])
Create with ClientEncryption
Labeled keys
Specify JSON Pointer with JSONSchema
…
ssn: {
encrypt: {
keyId: "/name",
algorithm: (…),
bsonType: (…)
}
}
db.coll.insert({
name: "Doris",
ssn: "457-55-5462"
})
Query key vault by label "Doris"
Compare to JSON schema
Labeled keys
db.coll.insert({
name: "Kevin",
ssn: "457-55-5462"
})
Query key vault by label "Kevin"
Compare to JSON schema
Labeled keys
DorisDB
MongoDB Cloud Hosting - By Doris ™
App Server
User
insert
MongoDB
(Key Vault)
fetch key
decrypt key DorisDB
(Storage)
encrypted insert
{
email: (encrypted),
pwd: (encrypted)
}
Email deterministic, pwd random, uses collection key
{
user_id: "…",
title: (encrypted),
body: (encrypted)
}
Encrypted randomly with per-user key
User
MongoDB
(Key Vault)
delete user key
DorisDB
(Storage)
delete all posts
App Server
"Delete my data"
… but was it really deleted?
Users :) Latency :(
EAST
DICTATORLAND
Global Shards
EAST
DICTATORLAND
EAST
DICTATORLAND
{ _id: 1, body: BinData(6, "A81…") }
{ _id: 2, body: BinData(6, "017…") }
{ _id: 3, body: BinData(6, "5E1…") }
…
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2

More Related Content

What's hot

MongoDB .local Houston 2019: Best Practices for Working with IoT and Time-ser...
MongoDB .local Houston 2019: Best Practices for Working with IoT and Time-ser...MongoDB .local Houston 2019: Best Practices for Working with IoT and Time-ser...
MongoDB .local Houston 2019: Best Practices for Working with IoT and Time-ser...MongoDB
 
Back to Basics: My First MongoDB Application
Back to Basics: My First MongoDB ApplicationBack to Basics: My First MongoDB Application
Back to Basics: My First MongoDB ApplicationMongoDB
 
Socialite, the Open Source Status Feed Part 2: Managing the Social Graph
Socialite, the Open Source Status Feed Part 2: Managing the Social GraphSocialite, the Open Source Status Feed Part 2: Managing the Social Graph
Socialite, the Open Source Status Feed Part 2: Managing the Social GraphMongoDB
 
Webinar: Back to Basics: Thinking in Documents
Webinar: Back to Basics: Thinking in DocumentsWebinar: Back to Basics: Thinking in Documents
Webinar: Back to Basics: Thinking in DocumentsMongoDB
 
Webinar: General Technical Overview of MongoDB for Dev Teams
Webinar: General Technical Overview of MongoDB for Dev TeamsWebinar: General Technical Overview of MongoDB for Dev Teams
Webinar: General Technical Overview of MongoDB for Dev TeamsMongoDB
 
Back to Basics Webinar 3: Schema Design Thinking in Documents
 Back to Basics Webinar 3: Schema Design Thinking in Documents Back to Basics Webinar 3: Schema Design Thinking in Documents
Back to Basics Webinar 3: Schema Design Thinking in DocumentsMongoDB
 
Building a Social Network with MongoDB
  Building a Social Network with MongoDB  Building a Social Network with MongoDB
Building a Social Network with MongoDBFred Chu
 
MongoDB Schema Design
MongoDB Schema DesignMongoDB Schema Design
MongoDB Schema DesignAlex Litvinok
 
Back to basics Italian webinar 2 Mia prima applicazione MongoDB
Back to basics Italian webinar 2  Mia prima applicazione MongoDBBack to basics Italian webinar 2  Mia prima applicazione MongoDB
Back to basics Italian webinar 2 Mia prima applicazione MongoDBMongoDB
 
MongoDB for Analytics
MongoDB for AnalyticsMongoDB for Analytics
MongoDB for AnalyticsMongoDB
 
User Data Management with MongoDB
User Data Management with MongoDB User Data Management with MongoDB
User Data Management with MongoDB MongoDB
 
Building a Scalable Inbox System with MongoDB and Java
Building a Scalable Inbox System with MongoDB and JavaBuilding a Scalable Inbox System with MongoDB and Java
Building a Scalable Inbox System with MongoDB and Javaantoinegirbal
 
Creating social features at BranchOut using MongoDB
Creating social features at BranchOut using MongoDBCreating social features at BranchOut using MongoDB
Creating social features at BranchOut using MongoDBLewis Lin 🦊
 
Back to Basics Webinar 2: Your First MongoDB Application
Back to Basics Webinar 2: Your First MongoDB ApplicationBack to Basics Webinar 2: Your First MongoDB Application
Back to Basics Webinar 2: Your First MongoDB ApplicationMongoDB
 
2014 bigdatacamp asya_kamsky
2014 bigdatacamp asya_kamsky2014 bigdatacamp asya_kamsky
2014 bigdatacamp asya_kamskyData Con LA
 
Socialite, the Open Source Status Feed Part 3: Scaling the Data Feed
Socialite, the Open Source Status Feed Part 3: Scaling the Data FeedSocialite, the Open Source Status Feed Part 3: Scaling the Data Feed
Socialite, the Open Source Status Feed Part 3: Scaling the Data FeedMongoDB
 
Back to Basics Webinar 4: Advanced Indexing, Text and Geospatial Indexes
Back to Basics Webinar 4: Advanced Indexing, Text and Geospatial IndexesBack to Basics Webinar 4: Advanced Indexing, Text and Geospatial Indexes
Back to Basics Webinar 4: Advanced Indexing, Text and Geospatial IndexesMongoDB
 
MongoDB Europe 2016 - Debugging MongoDB Performance
MongoDB Europe 2016 - Debugging MongoDB PerformanceMongoDB Europe 2016 - Debugging MongoDB Performance
MongoDB Europe 2016 - Debugging MongoDB PerformanceMongoDB
 
[MongoDB.local Bengaluru 2018] Just in Time Validation with JSON Schema
[MongoDB.local Bengaluru 2018] Just in Time Validation with JSON Schema[MongoDB.local Bengaluru 2018] Just in Time Validation with JSON Schema
[MongoDB.local Bengaluru 2018] Just in Time Validation with JSON SchemaMongoDB
 
Bruno Lowagie (iText) #cfoconferenz
Bruno Lowagie (iText) #cfoconferenzBruno Lowagie (iText) #cfoconferenz
Bruno Lowagie (iText) #cfoconferenzFDMagazine
 

What's hot (20)

MongoDB .local Houston 2019: Best Practices for Working with IoT and Time-ser...
MongoDB .local Houston 2019: Best Practices for Working with IoT and Time-ser...MongoDB .local Houston 2019: Best Practices for Working with IoT and Time-ser...
MongoDB .local Houston 2019: Best Practices for Working with IoT and Time-ser...
 
Back to Basics: My First MongoDB Application
Back to Basics: My First MongoDB ApplicationBack to Basics: My First MongoDB Application
Back to Basics: My First MongoDB Application
 
Socialite, the Open Source Status Feed Part 2: Managing the Social Graph
Socialite, the Open Source Status Feed Part 2: Managing the Social GraphSocialite, the Open Source Status Feed Part 2: Managing the Social Graph
Socialite, the Open Source Status Feed Part 2: Managing the Social Graph
 
Webinar: Back to Basics: Thinking in Documents
Webinar: Back to Basics: Thinking in DocumentsWebinar: Back to Basics: Thinking in Documents
Webinar: Back to Basics: Thinking in Documents
 
Webinar: General Technical Overview of MongoDB for Dev Teams
Webinar: General Technical Overview of MongoDB for Dev TeamsWebinar: General Technical Overview of MongoDB for Dev Teams
Webinar: General Technical Overview of MongoDB for Dev Teams
 
Back to Basics Webinar 3: Schema Design Thinking in Documents
 Back to Basics Webinar 3: Schema Design Thinking in Documents Back to Basics Webinar 3: Schema Design Thinking in Documents
Back to Basics Webinar 3: Schema Design Thinking in Documents
 
Building a Social Network with MongoDB
  Building a Social Network with MongoDB  Building a Social Network with MongoDB
Building a Social Network with MongoDB
 
MongoDB Schema Design
MongoDB Schema DesignMongoDB Schema Design
MongoDB Schema Design
 
Back to basics Italian webinar 2 Mia prima applicazione MongoDB
Back to basics Italian webinar 2  Mia prima applicazione MongoDBBack to basics Italian webinar 2  Mia prima applicazione MongoDB
Back to basics Italian webinar 2 Mia prima applicazione MongoDB
 
MongoDB for Analytics
MongoDB for AnalyticsMongoDB for Analytics
MongoDB for Analytics
 
User Data Management with MongoDB
User Data Management with MongoDB User Data Management with MongoDB
User Data Management with MongoDB
 
Building a Scalable Inbox System with MongoDB and Java
Building a Scalable Inbox System with MongoDB and JavaBuilding a Scalable Inbox System with MongoDB and Java
Building a Scalable Inbox System with MongoDB and Java
 
Creating social features at BranchOut using MongoDB
Creating social features at BranchOut using MongoDBCreating social features at BranchOut using MongoDB
Creating social features at BranchOut using MongoDB
 
Back to Basics Webinar 2: Your First MongoDB Application
Back to Basics Webinar 2: Your First MongoDB ApplicationBack to Basics Webinar 2: Your First MongoDB Application
Back to Basics Webinar 2: Your First MongoDB Application
 
2014 bigdatacamp asya_kamsky
2014 bigdatacamp asya_kamsky2014 bigdatacamp asya_kamsky
2014 bigdatacamp asya_kamsky
 
Socialite, the Open Source Status Feed Part 3: Scaling the Data Feed
Socialite, the Open Source Status Feed Part 3: Scaling the Data FeedSocialite, the Open Source Status Feed Part 3: Scaling the Data Feed
Socialite, the Open Source Status Feed Part 3: Scaling the Data Feed
 
Back to Basics Webinar 4: Advanced Indexing, Text and Geospatial Indexes
Back to Basics Webinar 4: Advanced Indexing, Text and Geospatial IndexesBack to Basics Webinar 4: Advanced Indexing, Text and Geospatial Indexes
Back to Basics Webinar 4: Advanced Indexing, Text and Geospatial Indexes
 
MongoDB Europe 2016 - Debugging MongoDB Performance
MongoDB Europe 2016 - Debugging MongoDB PerformanceMongoDB Europe 2016 - Debugging MongoDB Performance
MongoDB Europe 2016 - Debugging MongoDB Performance
 
[MongoDB.local Bengaluru 2018] Just in Time Validation with JSON Schema
[MongoDB.local Bengaluru 2018] Just in Time Validation with JSON Schema[MongoDB.local Bengaluru 2018] Just in Time Validation with JSON Schema
[MongoDB.local Bengaluru 2018] Just in Time Validation with JSON Schema
 
Bruno Lowagie (iText) #cfoconferenz
Bruno Lowagie (iText) #cfoconferenzBruno Lowagie (iText) #cfoconferenz
Bruno Lowagie (iText) #cfoconferenz
 

Similar to MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2

MongoDB .local Houston 2019: Using Client Side Encryption in MongoDB 4.2
MongoDB .local Houston 2019: Using Client Side Encryption in MongoDB 4.2MongoDB .local Houston 2019: Using Client Side Encryption in MongoDB 4.2
MongoDB .local Houston 2019: Using Client Side Encryption in MongoDB 4.2MongoDB
 
MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2
MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2
MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2Lisa Roth, PMP
 
MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2
MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2
MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2MongoDB
 
MongoDB全機能解説2
MongoDB全機能解説2MongoDB全機能解説2
MongoDB全機能解説2Takahiro Inoue
 
MySQL flexible schema and JSON for Internet of Things
MySQL flexible schema and JSON for Internet of ThingsMySQL flexible schema and JSON for Internet of Things
MySQL flexible schema and JSON for Internet of ThingsAlexander Rubin
 
MongoDB San Francisco 2013: Hash-based Sharding in MongoDB 2.4 presented by B...
MongoDB San Francisco 2013: Hash-based Sharding in MongoDB 2.4 presented by B...MongoDB San Francisco 2013: Hash-based Sharding in MongoDB 2.4 presented by B...
MongoDB San Francisco 2013: Hash-based Sharding in MongoDB 2.4 presented by B...MongoDB
 
ENIB 2015 2016 - CAI Web S02E03 - Forge JS 2/4 - MongoDB and NoSQL
ENIB 2015 2016 - CAI Web S02E03 - Forge JS 2/4 - MongoDB and NoSQLENIB 2015 2016 - CAI Web S02E03 - Forge JS 2/4 - MongoDB and NoSQL
ENIB 2015 2016 - CAI Web S02E03 - Forge JS 2/4 - MongoDB and NoSQLHoracio Gonzalez
 
Peggy elasticsearch應用
Peggy elasticsearch應用Peggy elasticsearch應用
Peggy elasticsearch應用LearningTech
 
MongoD Essentials
MongoD EssentialsMongoD Essentials
MongoD Essentialszahid-mian
 
Working with the Web: 
Decoding JSON
Working with the Web: 
Decoding JSONWorking with the Web: 
Decoding JSON
Working with the Web: 
Decoding JSONSV.CO
 
ENIB 2015-2016 - CAI Web - S01E01- MongoDB and NoSQL
ENIB 2015-2016 - CAI Web - S01E01- MongoDB and NoSQLENIB 2015-2016 - CAI Web - S01E01- MongoDB and NoSQL
ENIB 2015-2016 - CAI Web - S01E01- MongoDB and NoSQLHoracio Gonzalez
 
Running Production MongoDB Lightning Talk
Running Production MongoDB Lightning TalkRunning Production MongoDB Lightning Talk
Running Production MongoDB Lightning Talkchrisckchang
 
Advanced Sharding Features in MongoDB 2.4
Advanced Sharding Features in MongoDB 2.4 Advanced Sharding Features in MongoDB 2.4
Advanced Sharding Features in MongoDB 2.4 MongoDB
 
MongoDB World 2019: Building an Efficient and Performant Data Model: Real Wor...
MongoDB World 2019: Building an Efficient and Performant Data Model: Real Wor...MongoDB World 2019: Building an Efficient and Performant Data Model: Real Wor...
MongoDB World 2019: Building an Efficient and Performant Data Model: Real Wor...MongoDB
 
Java/Scala Lab: Борис Трофимов - Обжигающая Big Data.
Java/Scala Lab: Борис Трофимов - Обжигающая Big Data.Java/Scala Lab: Борис Трофимов - Обжигающая Big Data.
Java/Scala Lab: Борис Трофимов - Обжигающая Big Data.GeeksLab Odessa
 
MongoDB Performance Tuning
MongoDB Performance TuningMongoDB Performance Tuning
MongoDB Performance TuningMongoDB
 
How to get rid of terraform plan diffs
How to get rid of terraform plan diffsHow to get rid of terraform plan diffs
How to get rid of terraform plan diffsYukiya Hayashi
 
MongoDB World 2019: Exploring your MongoDB Data with Pirates (R) and Snakes (...
MongoDB World 2019: Exploring your MongoDB Data with Pirates (R) and Snakes (...MongoDB World 2019: Exploring your MongoDB Data with Pirates (R) and Snakes (...
MongoDB World 2019: Exploring your MongoDB Data with Pirates (R) and Snakes (...MongoDB
 

Similar to MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2 (20)

MongoDB .local Houston 2019: Using Client Side Encryption in MongoDB 4.2
MongoDB .local Houston 2019: Using Client Side Encryption in MongoDB 4.2MongoDB .local Houston 2019: Using Client Side Encryption in MongoDB 4.2
MongoDB .local Houston 2019: Using Client Side Encryption in MongoDB 4.2
 
MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2
MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2
MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2
 
MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2
MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2
MongoDB .local London 2019: Using Client Side Encryption in MongoDB 4.2
 
MongoDB全機能解説2
MongoDB全機能解説2MongoDB全機能解説2
MongoDB全機能解説2
 
MySQL flexible schema and JSON for Internet of Things
MySQL flexible schema and JSON for Internet of ThingsMySQL flexible schema and JSON for Internet of Things
MySQL flexible schema and JSON for Internet of Things
 
MongoDB San Francisco 2013: Hash-based Sharding in MongoDB 2.4 presented by B...
MongoDB San Francisco 2013: Hash-based Sharding in MongoDB 2.4 presented by B...MongoDB San Francisco 2013: Hash-based Sharding in MongoDB 2.4 presented by B...
MongoDB San Francisco 2013: Hash-based Sharding in MongoDB 2.4 presented by B...
 
ENIB 2015 2016 - CAI Web S02E03 - Forge JS 2/4 - MongoDB and NoSQL
ENIB 2015 2016 - CAI Web S02E03 - Forge JS 2/4 - MongoDB and NoSQLENIB 2015 2016 - CAI Web S02E03 - Forge JS 2/4 - MongoDB and NoSQL
ENIB 2015 2016 - CAI Web S02E03 - Forge JS 2/4 - MongoDB and NoSQL
 
Peggy elasticsearch應用
Peggy elasticsearch應用Peggy elasticsearch應用
Peggy elasticsearch應用
 
MongoD Essentials
MongoD EssentialsMongoD Essentials
MongoD Essentials
 
Working with the Web: 
Decoding JSON
Working with the Web: 
Decoding JSONWorking with the Web: 
Decoding JSON
Working with the Web: 
Decoding JSON
 
ENIB 2015-2016 - CAI Web - S01E01- MongoDB and NoSQL
ENIB 2015-2016 - CAI Web - S01E01- MongoDB and NoSQLENIB 2015-2016 - CAI Web - S01E01- MongoDB and NoSQL
ENIB 2015-2016 - CAI Web - S01E01- MongoDB and NoSQL
 
Running Production MongoDB Lightning Talk
Running Production MongoDB Lightning TalkRunning Production MongoDB Lightning Talk
Running Production MongoDB Lightning Talk
 
Advanced Sharding Features in MongoDB 2.4
Advanced Sharding Features in MongoDB 2.4 Advanced Sharding Features in MongoDB 2.4
Advanced Sharding Features in MongoDB 2.4
 
MongoDB World 2019: Building an Efficient and Performant Data Model: Real Wor...
MongoDB World 2019: Building an Efficient and Performant Data Model: Real Wor...MongoDB World 2019: Building an Efficient and Performant Data Model: Real Wor...
MongoDB World 2019: Building an Efficient and Performant Data Model: Real Wor...
 
Java/Scala Lab: Борис Трофимов - Обжигающая Big Data.
Java/Scala Lab: Борис Трофимов - Обжигающая Big Data.Java/Scala Lab: Борис Трофимов - Обжигающая Big Data.
Java/Scala Lab: Борис Трофимов - Обжигающая Big Data.
 
MongoDB Performance Tuning
MongoDB Performance TuningMongoDB Performance Tuning
MongoDB Performance Tuning
 
Serverless
ServerlessServerless
Serverless
 
Mongo db presentation
Mongo db presentationMongo db presentation
Mongo db presentation
 
How to get rid of terraform plan diffs
How to get rid of terraform plan diffsHow to get rid of terraform plan diffs
How to get rid of terraform plan diffs
 
MongoDB World 2019: Exploring your MongoDB Data with Pirates (R) and Snakes (...
MongoDB World 2019: Exploring your MongoDB Data with Pirates (R) and Snakes (...MongoDB World 2019: Exploring your MongoDB Data with Pirates (R) and Snakes (...
MongoDB World 2019: Exploring your MongoDB Data with Pirates (R) and Snakes (...
 

More from MongoDB

MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB
 
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB
 
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB
 
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB
 
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB
 
MongoDB SoCal 2020: MongoDB Atlas Jump Start
 MongoDB SoCal 2020: MongoDB Atlas Jump Start MongoDB SoCal 2020: MongoDB Atlas Jump Start
MongoDB SoCal 2020: MongoDB Atlas Jump StartMongoDB
 
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB
 
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB
 
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB
 
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB
 
MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB
 
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB
 
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB
 
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB
 
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB
 
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB
 
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB
 
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB
 
MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDB
MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDBMongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDB
MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDBMongoDB
 
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...MongoDB
 

More from MongoDB (20)

MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
 
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
 
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
 
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
 
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
 
MongoDB SoCal 2020: MongoDB Atlas Jump Start
 MongoDB SoCal 2020: MongoDB Atlas Jump Start MongoDB SoCal 2020: MongoDB Atlas Jump Start
MongoDB SoCal 2020: MongoDB Atlas Jump Start
 
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
 
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
 
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
 
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
 
MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
 
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
 
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
 
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
 
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
 
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
 
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
 
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
 
MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDB
MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDBMongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDB
MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDB
 
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
 

Recently uploaded

Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsRoshan Dwivedi
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 

Recently uploaded (20)

Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 

MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2