nosql tel aviv meetup#1: nosql data modeling

NoSQL Data Modeling

IdoFriedman.ymlName: Ido Friedman,Past:”SQL Server consultant,Instructor,Team Leader”Present:”Data engineer and Architect,

Elasticsearch,CouchBase,MongoDB,Python”,…]WorkPlace:PerionWhenNotWorking:@Sea

Let’s talk•What is the role of data modeling•What does data modeling effect

Data models

Document Columnar Graph

Relational New SQL* And more..

Document

Data DomainsOn line

Batch

Real time analytics

Micro batch

Streaming

Schema and structureSchema

free

Structured

Unstructured

Semi Structured

• Who needs schemas?• Schema description

Normalization/De-Normalization• Born to reserve storage and keep data integrity (RI)• Resolve data joining issues• Performance aspects

Is it still relevant???

Normalization example{"_index": "user_profiles","_type": "properties","_id": "25467834901804247006200168495554902214","_version": 4,"_score": 1,"_source": {

"app_package_id": 4495665825523018,"device_id": "b94b29c3-f03f-4e43-a646-53708e025779","group_id": 876,"customer_user_id": "","customer_device_id": "b2f5fbfb-5d05-01e9-32e9-a8b332e9a8b3","advertise_id": "","device_os": "android","device_os_comparable_version": "00000004.00000002.00000002.00000017","device_os_full_name": "android 4.2.2.17","android_id": "c93334e4e246b83c","manufacturer": "OPPO","model": "R1001","screen_width": 480,"screen_height": 800,"device_language": "vi","cpu": "","is_rooted": 1,"is_jailbroken": 0,"vendor": "perion","app_installation_time": 1435173851000,"push_allowed": 1,"operator": "Beeline VN","mcc": "452","mnc": "07","mac_address": "","created_at": 1435174685000,"registered_in_desktop": "","short_country_code": "VN","updated_at": 1435259712000,"app_package_name": "com.gingersoftware.android.keyboard","app_version_type": ""

}}

"manufacturer": "OPPO",

{"_index": "events-2015-06-04","_type": "events","_id": "AU4-zg5nOG4dkiMGKrCx","_version": 1,"_score": 1,"_source": {

"numeric_value_unit": "key","event_type_name": "custom","text_value": "","event_date": 1433440149000,"numeric_value": 13,"quantity": 0,"event_name": "Saved Tap","numeric_value_name": "taps saved","app_package_id":  1433440149000,"api_key": “asasa1w121","device_id": "c5eb1fe0-8a77-41ef-9f79-ed7ed69d32e6"

}}

"event_name": "Saved Tap","event_name": "SVD T",

"event_name": "Saved TP","event_name": "Saved",

Constraints• No BIG Brother• Data can't be verified once it leaves

the application

Transactions•Atomicity• Locking•Rollback

IT IS YOUR RESPONSIBILITY

Relations type• One to One• One to Many• Many to Many

Relations example1 to Many

City : Person1 to 1

Employee: Resume{_id:101,Name:Jason Voorhees,Age: 99Resume_ID:1004}

{_id:1004,Jobs:[Cook]Education:[Knifery]Hobbies:[Murder]Employee_id:101}

{ "name" : "Dam Square, Amsterdam", "location" : { "type" : "polygon", "coordinates" : [[ [ 4.89218, 52.37356 ],

[ 4.89205, 52.37276 ], ….… ]]}}

{_id:101,Name:Jason Voorhees,Age: 99Resume_ID:1004}

Many to Many

The new 1 to Many …..

One to Few

Student : Teacher{_id:101,Name:Jason Voorhees,Age: 99Resume_ID:1004Courses:[“Chainsaw 101”,”Axing”],Teachers:[101]}

{_id:101,Name: “Freddy Krueger”,Age: 60Resume_ID:1004Skills: [{Skill:}]}

Embedding• Embed• Known doc size• Data is highly related• No joins

• Don’t Embed• Very large data sets• Data is updated rapidly

Doesn’t fit ….• Use the data model that most fits your needs• Don’t be afraid of Polyglot Persistence

Polyglot Persistence • Data usage patterns• Readers vs. Writers• Online vs. Batch• Concurrency

• Issues• Data freshness• Data consistency• System Coupling

Questions?