Dive into NoSQL with Azure Niels Naglé Hylke Peek

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WWhy NoSQL? KKey/Value store DDocument store CColumn Family store GGraph database RRECAP Topics

Relational Database PK int Title string Speaker string Track string Level int NULLNULL RDBMS APP SQL NULL

Horizontal partitioning RDBMS Sharded RDBMS Shard Shard Shard 2

ACID vs BASE UPDATE Sessions SET Level = 200 WHERE ID = 1 U U U U UPDATE Sessions SET Level = 200 WHERE ID = 1 U U U U ACID BASE

Aggregates

NoSQL Characteristics Non-relation data model Horizontal scalability More data flexibility Pros Horizontal scalability Easier coding Schema less Cons No ACID transactions Communication with other tools Schema less

Azure options Azure Service Aggregate StorageQuery language Transaction support Secundairy indexes Procs and Triggers Pricing

Azure options Azure Service Aggregate StorageQuery language Transaction support Secundairy indexes Procs and Triggers Pricing SQL Database Relational No Table, column, row T-SQLYes Yes, in T- SQL Throughput

 Why NoSQL?  Key/Value store  Document store  Column Family store  Graph database  RECAP Topics

Key/Value store Key Value

Azure Tables Table Azure Tables APP A 1 Title string Partition Entity Property A – Partition key 1 – Row key Data Speaker string Track string A 2 Title string Speaker string B 2 Title string EndDate string B 1 Title string Level string EndDate date Partition A Partition B A 2 A 2 Key/Value store

Azure options Azure Service Aggregate StorageQuery language Transaction support Secundairy indexes Procs and Triggers Pricing SQL Database Relational No Table, column, row T-SQLYes Yes, in T- SQL Throughput Azure Tables Key/Value Yes Table, partition, entity Subset of OData queries Within the partitionNo Data storage

 Why NoSQL?  Key/Value store  Document store  Column Family store  Graph database  RECAP Topics

Document store 1 2 id Document { "UserName":"johnclarkson", " " "MemberSince" :" ", "DateOfBirth" :" ", "BillingAddress" :"Mainstreet 14, New York……" } { "ProductName":"Shirts", "Size" :"L", "Colour" :"White", "RetailPrice" :"30", } Implicit schema!

DocumentDB APP Request Document store Data (Documents) Collection {...}

Azure options Azure Service Aggregate StorageQuery language Transaction support Secundairy indexes Procs and Triggers Pricing SQL Database Relational No Table, column, row T-SQLYes Yes, in T- SQL Throughput Azure Tables Key/Value Yes Table, partition, entity Subset of OData queries Within the partitionNo Data storage DocumentDB Document Yes Collection, document Extended subset of SQL Documents within a collection YesYes, in JavaScript Throughput

 Why NoSQL?  Key/Value store  Document store  Column Family store  Graph database  RECAP Topics

Column Family store 1 Column Qualifier Column value Row key Column Family Profile Product Implicit schema! UserNameJohnclarkson MemberSince ProductNameShirts SizeL ColourWhite RetailPrice : : 30 2 Profile Manager UserNameJohnclarkson MemberSince ManagerNameHenk DepartmentFinance

HDInsight HBase Column Family store Table HDInsight HBase APP Session Column Family Row Column 1 – Row key Data Speaker V2 2 Name Country Title Level Room Session Title 2

Azure options Azure Service Aggregate StorageQuery language Transaction support Secundairy indexes Procs and Triggers Pricing SQL Database Relational No Table, column, row T-SQLYes Yes, in T- SQL Throughput Azure Tables Key/Value Yes Table, partition, entity Subset of OData queries Within the partitionNo Data storage DocumentDB Document Yes Collection, document Extended subset of SQL Documents within a collection YesYes, in JavaScript Throughput HDInsight Hbase Column Family Yes Table, column family, column, row, version None (commands like create, get, put and scan) RowNoYes, in Java Data storage en VM’s

 Why NoSQL?  Key/Value store  Document store  Column Family store  Graph database  RECAP Topics

Graph database Node Relationship

Azure Service Aggregate StorageQuery language Transaction support Secundairy indexes Procs and Triggers Pricing SQL Database Relational No Table, column, row T-SQLYes Yes, in T- SQL Throughput Azure Tables Key/Value Yes Table, partition, entity Subset of OData queries Within the partitionNo Data storage DocumentDB Document Yes Collection, document Extended subset of SQL Documents within a collection YesYes, in JavaScript Throughput HDInsight Hbase Column Family Yes Table, column family, column, row, version None (commands like create, get, put and scan) RowNoYes, in Java Data storage en VM’s VM’s All Yes and No -----Per VM Azure options

 Why NoSQL?  Key/Value store  Document store  Column Family store  Graph database  RECAP Topics

ACID vs BASE UPDATE Sessions SET Level = 200 WHERE ID = 1 U U U U UPDATE Sessions SET Level = 200 WHERE ID = 1 U ACID BASE SQL Database Azure Tables DocumentDB HBASE GRAPH Neo4J

Azure Data technologiën Operational dataAnalytical data NoSQL Technologies SQL Technologies Document - DocumentDB - MongoDB… Key/Value - Tables - Riak… Column Family - HDInsight HBase - Cassandra… Big Data Analytics - HDInsight - Hadoop… Relational Database - SQL Database - SQL Server - Oracle - MySQL… Relational Analytics - SQL Data Warehouse - SQL Server - Oracle - MySQL… Managed service in Azure Software that can run in Azure VM Graph - Neo4j…

Use Cases  Key/Value: Amazon Shopping Cart  Document store: MetLife 360 Customer information  Column Family store: Facebook Message store  Graph database: Wallmart Realtime Recommendation Social graphs

Polyglot Persistence

? ? ? Questions

Announcement

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Demo Document DB

Demo Graph database in Azure VM Neo4j Graph database IS_A

 Azure Documentation (  Youtube teched 2014 – Introduction to NoSQL on Azure (  Martin fowler 2013 – Introduction to No SQL (  Graph databases (2 nd edition) O’Reilly (  HBASE 101 ( Used Sources & Extra information