מרכז התמחות DBA. NoSQL and MongoDB תאריך: 3 דצמבר 2015 מציג: רז הורוביץ, ארכיטקט מרכז ההתמחות

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1 מרכז התמחות DBA NoSQL and MongoDB תאריך: 3 דצמבר 2015 מציג: רז הורוביץ, ארכיטקט מרכז ההתמחות Raziel.Horovitz@tangram-soft.co.il Matrix IT work Copyright Do not remove source or Attribution from any graphic or portion of graphic

2 Agenda The World is Changing NoSQL (Or not only SQL) The Data Model Who uses MongoDB and why? Enterprise features

3 The World is Changing

4 Big Users Not long ago 1000 daily users of an application was a lot 10,000 was an extreme case. A newly launched app can go viral, growing from zero to a million users overnight. Some users active frequently, while others use an app a few times, never to return. Seasonal swings like Christmas or Valentine s Day create spikes for short periods. New Product release or promotions can spawn dramatically higher application usage. The large numbers of users combined with the dynamic nature of usage patterns is are driving the adoption of NoSQL technology.

5 The Internet of things By 2020, 32 billion things will be connected to the Internet. By 2020, 10% of data will be generated by embedded systems. By 2020, 20% of target rich data will be generated by embedded systems.

6 Big Data 90% of the world s data was created in the last two years. 80% of enterprise data is unstructured. Unstructured data growing 2x faster than structured. Data is becoming easier to capture and access through third parties such as Facebook, twitter etc. The demand for analytic processing is increasing.

7 The Cloud Not long ago, most data-intensive, multi-user business applications used a two-tier architecture. In the three-tier architecture, applications are accessed through a web browser or mobile app that is connected to the Internet. In the cloud, a load balancer directs the incoming traffic and scale out tier of web/application servers that process the logic of the application.

8 The Database is the last technology in the stack yet to be modernized Not anymore

9 DB-Engines.com

10 Magic Quadrant for Operational Databases

11 NoSQL (Or not only SQL)

12 NoSQL Definition NoSQL is a broad class of database that differs from the classic RDBMS in some significant ways, most important - they do not use SQL as their primary query language. NOSQL means Not Only SQL, as in: in the future, our backend will consist of Not Only SQL databases but also: key-value stores, Document Based, graph databases and more NoSQL is real and it s here to stay!

13 NoSQL Systems characteristics Better application development - through a more flexible data model. Greater ability to scale dynamically to support more users and data. Improved performance. And.. Become preferred choice for new development. Co-exist with RDBMS.

14 The Data Model

15 Document Relational Data Model Relational MongoDB { first_name: Paul, surname: Miller, city: London, location: [45.123,47.232], cars: [ { model: Bentley, year: 1973, value: , }, { model: Rolls Royce, year: 1965, value: , } ] } Documents are easier

16 Documents are reach data structure Fields { first_name: Paul, surname: Miller, cell: city: London, location: [45.123,47.232], Profession: [banking, finance, trader], cars: [ { model: Bentley, year: 1973, value: , }, { model: Rolls Royce, year: 1965, value: , } ] } Typed field values Fields can contain arrays Fields can contain an array of subdocuments

17 Document Model Benefits Agility and flexibility Data model supports business change Rapidly iterate to meet new requirements { } _id : ObjectId("4c4ba5e5e8aabf3"), employee_name: "Dunham, Justin", department : "Marketing", title : "Product Manager, Web", report_up: "Neray, Graham", pay_band: C", benefits : [ { type : "Health", plan : "PPO Plus" }, { type : "Dental", plan : "Standard" } ] Intuitive, natural data representation Eliminates ORM layer Developers are more productive Reduces the need for joins, disk seeks Programming is more simple Performance delivered at scale No Schema, No Declaration, No Foreign Keys, No Relations Maximum flexibility

18 Do more with your Data! Rich Queries Geospatial Text Search Aggregation Map Reduce Find Paul s cars Find everybody in London with a car built between 1970 and 1980 Find all of the car owners within 5km of Trafalgar Sq. Find all the cars described as having leather seats Calculate the average value of Paul s car collection What is the ownership pattern of colors by geography over time? (is purple trending up in China?) MongoDB { first_name: Paul, surname: Miller, city: London, location: [45.123,47.232], cars: [ { model: Bentley, year: 1973, value: , }, { model: Rolls Royce, year: 1965, value: , } } }

19 NoSQL & Data Modeling What s the difference? Class Document Sub - Class Sub Document Database = Database Table = Collection Row = Document

20 Relational vs Document Blog example

21 Single & Replica Sets Replica Set 2 to 50 copies Self-healing shard Data Center Aware Availability considerations: High Availability Disaster Recovery Maintenance

22 Automatic Sharding Three types of Sharding: hash-based, range-based, location-aware Increase or decrease capacity as you go Automatic balancing

23 Who Uses MongoDB?

24 The largest Ecosystem 9,000,000+ MongoDB Downloads 250,000+ Online Education Registrants 35,000+ MongoDB Management Service (MMS) Users 30,000+ MongoDB User Group Members MongoDB Customers across all industries

25 25 מבחר לקוחות בישראל

26 Matrix & MongoDB Partnership Authorized Distributer in Israel (since 2014) Local Support center of MongoDB in Israel Commercial version MongoDB OPS manager Advanced security On Demand training SLA 1 Hour (24*365) 26

27 MongoDB and Red Hat relations: Can be deployed as a Docker pod inside Openshift. Can be used as Openstack DB and Ceilometer DB backend. Can be integrated with JBOSS Data Virtualization. 27

28 MongoDB, Inc employees 2,000+ customers 13 offices around the world 4 Support Engineers in Tel Aviv Over $311 million in funding

29 Why MongoDB?

30 Why MongoDB? What? JSON No schema Write Read HA Sharding GeoData Classes Why? End to End None: no downtime due to schema changes 10K Inserts/sec on virtual machine Even faster and from couple of instances 10 min to setup a cluster Out of the Box Very useful and easy to implement Just save them as documents

31 Drivers & Shell Support for the most popular languages and frameworks Drivers Drivers for most popular programming languages and frameworks Java Ruby JavaScript Perl Python Haskell Shell Command-line shell for interacting directly with database > db.collection.insert({product: MongoDB, type: Document Database }) > > db.collection.findone() { _id : ObjectId( 5106c1c2fc629bfe52792e86 ), product : MongoDB type : Document Database }

32 Lower Total Cost of Ownership Developer/Ops Savings Ease of Use Agile development Less maintenance Hardware Savings Commodity servers Internal storage (no SAN) Scale out, not up Software/Support Savings No upfront license Cost visibility for usage growth DB Alternative 32

33 Security BUSINESS NEEDS SECURITY FEATURES Authentication SCRAM, LDAP*, Kerberos*, x.509 Certificates Authorization Built-in Roles, User-Defined Roles, Field-Level Redaction Auditing* Admin, DML, DDL, Role-based Encryption Network: SSL (with FIPS 140-2), Disk: Partner Solutions *Included with MongoDB Enterprise Advanced

34 MongoDB-Tools

35 Thank you!

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