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NoSQL for the SQL Server Pro (or “Practical Big Data”) Lynn Langit July 2013 – Malibu SQL UG

NoSQL for the SQL Pro

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slides from talk for Malibu SQL User Group - July 2013

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Page 1: NoSQL for the SQL Pro

NoSQL for the SQL Server Pro(or “Practical Big Data”)

Lynn Langit

July 2013 – Malibu SQL UG

Page 2: NoSQL for the SQL Pro

Data Expertise / Lynn Langit

• Industry awards– Microsoft – MVP for SQL Server – Google – GDE for Cloud Platform– 10Gen – Master for MongoDB

• Practicing Architect• Technical author / trainer

– Pluralsight – Google Cloud Series– DevelopMentor – SQL Server 2012 Series – 2 books on SQL Server BI– Cloudera trainer (certified)

• Former MSFT FTE– 4 years

Page 3: NoSQL for the SQL Pro

BigData Pipeline - STEP 1 – Acquire

AcquireProcess

StoreQuery & Mine

Visualize

Page 4: NoSQL for the SQL Pro

BigData = ‘Next State’ Questions

• What could happen?• Why didn’t this happen?• When will the next new thing

happen?• What will the next new thing be?• What happens?

Collecting Behavioral

data

Page 5: NoSQL for the SQL Pro

BigData Pipeline – STEP 2 - Process

AcquireProcess

StoreQuery & Mine

Visualize

Page 6: NoSQL for the SQL Pro

Is Big Data = NoSQL and just Hadoop?

HUGE Hype factor since 2011

Apache Hadoop • a software framework that supports data-intensive 

distributed applications • under a free license enables applications to work with thousands of

nodes and petabytes of data • was inspired by Google's MapReduce and Google File System (GFS)

papers

Page 7: NoSQL for the SQL Pro

Hadoop in the Enterprise

Page 8: NoSQL for the SQL Pro

How you ‘get’ Hadoop

• roll your own

Open source

• Cloudera• MapR• Hortonworks• More…

Commercial distribution

• AWS• HDInsight

Rent it via the cloud

Page 9: NoSQL for the SQL Pro

Demo - HDInsight

Page 10: NoSQL for the SQL Pro

About Hadoop MapReduce

Image from - https://developers.google.com/appengine/docs/python/images/mapreduce_mapshuffle.png

Page 11: NoSQL for the SQL Pro

Demo - HDInsight – MapReduce w/Java

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Working with Hadoop

Page 13: NoSQL for the SQL Pro

Example Comparison: RDBMS vs. Hadoop

Traditional RDBMS Hadoop / MapReduce

Data Size Gigabytes (Terabytes) Petabytes and greater

Access Interactive and Batch Batch – NOT Interactive

Updates Read / Write many times Write once, Read many times

Structure Static Schema Dynamic Schema

Integrity High (ACID) Low

Scaling Nonlinear Linear

Query Response Time

Can be near immediate Has latency (due to batch processing)

Page 14: NoSQL for the SQL Pro

BigData Pipeline STEP 3 – Store

AcquireProcess

StoreQuery & Mine

Visualize

Page 15: NoSQL for the SQL Pro

“Small” BigData vs. “Big” BigData

Hadoop

NoSQL

RDBMS

Hadoop

NoSQL

RDBMS

On Premises In the Cloud

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Cloud-hosted NoSQL up to 50x CHEAPER

Page 17: NoSQL for the SQL Pro

So many NoSQL options• More than just the Elephant in the room• Over 120+ types of NoSQL databases

Page 18: NoSQL for the SQL Pro

Flavors of NoSQLKey/ValueVolatile

Key/valuePersistent

Wide-Column Document Graph

Page 19: NoSQL for the SQL Pro

Key / Value Database• Just keys and values

– No schema• Persistent or Volatile• Examples

– AWS Dynamo DB– Riak

Page 20: NoSQL for the SQL Pro

DEMO - AWS DynamoDB

• Key/Value store on the AWS cloud

Page 21: NoSQL for the SQL Pro

NoSQL BLOB Storage Buckets in the Cloud

• Amazon – S3 or Glacier• Google – Cloud Storage• Microsoft Azure BLOBS• Others

– Dropbox– Box– More…

Page 22: NoSQL for the SQL Pro

DEMO - Battle of the Buckets

• Google Cloud Storage VS.• Windows Azure BLOBS VS.• AWS S3 / Glacier

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Column Database

• Wide, sparse column sets• Schema-light

• Examples:– Cassandra– HBase w/Hadoop– BigTable– GAE HR DS

Page 24: NoSQL for the SQL Pro

Types of Column Databases

• Column-families– Non-relational– Sparse– Examples:

• HBase• Cassandra• xVelocity (SQL 2012 Tabular)

• Column-stores– Relational– Dense– Example:

• SQL Server 2012 – Columnstore index

Page 25: NoSQL for the SQL Pro

DEMO – SQL Server ‘NoSQL’

• SQL Server 2012 Columnstore Index• SQL Server 2012 Tabular Model (SSAS)

Page 26: NoSQL for the SQL Pro

Document Database (Mongo DB)• document-oriented (collection of

JSON documents) w/semi structured data– Encodings include BSON, JSON, XML…

• binary forms – PDF, Microsoft Office documents --

Word, Excel…)

• Examples:– MongoDB– Couchbase

Page 27: NoSQL for the SQL Pro

Demo - Mongo DB

Page 28: NoSQL for the SQL Pro

Graph Databases

• a lot of many-to-many relationships• recursive self-joins • when your primary objective is quickly

finding connections, patterns and relationships between the objects within lots of data

• Examples:– Neo4J– Google Freebase

Page 29: NoSQL for the SQL Pro

DEMO – Neo4J

Page 30: NoSQL for the SQL Pro

“Small” BigData vs. “Big” BigData

Hadoop

Key/Value or Column

Document or Graph

RDBMS

On Premise or In the Cloud

Page 31: NoSQL for the SQL Pro

Cloud-hosted RDBMS

• AWS RDS – SQL Server, mySQL, Oracle– Medium cost– Solid feature set, i.e.

backup, snapshot– Use existing tooling

• Google – mySQL– Lowest cost– Most limited RDBMS

functionality• Microsoft – SQLAzure

– Highest cost

Page 32: NoSQL for the SQL Pro

DEMO - AWS RDS

• SQL Server, MySQL or Oracle• Essential to understand pricing models

Page 33: NoSQL for the SQL Pro

Image - http://blog.outsourcing-partners.com/wp-content/uploads/2012/10/performance.png

Page 34: NoSQL for the SQL Pro

NoSQL Applied

Soci

al G

ames

Prod

uct C

atal

ogs

Soci

al a

ggre

gato

rs

Log

File

s

Line

-of-B

usin

ess

ColumnstoreHBase

Key/ValueDynamoDB

DocumentMongoDB

GraphNeo4j

RDBMSSQL Server

Page 35: NoSQL for the SQL Pro

Cloud Offerings– RDBMS AND NoSQL

AWS Google Microsoft

RDBMS RDS – all major mySQL SQL Azure

NoSQL buckets S3 or Glacier Cloud Storage Azure Blobs

NoSQL Key-Value DynamoDB H/R Data on GAE Azure Tables

Streaming ML or (Mahout)

Custom EC2 Prospective Search &Prediction API

StreamInsight

NoSQL Document or Graph

MongoDB on EC2 Freebase MongoDB on Windows Azure

NoSQL – ColumnHadoop (HBase)

Elastic MapReduce using S3 & EC2

none HDInsight

Dremel/Warehousing

RedShift BigQuery none

Page 36: NoSQL for the SQL Pro

BigData Pipeline STEP 4 – Query

AcquireProcess

StoreQuery & Mine

Visualize

Page 37: NoSQL for the SQL Pro

Alw

ays

Map

Redu

ce?

Page 38: NoSQL for the SQL Pro

Can Excel help?

• Connector to Hadoop• Data Explorer• Data Quality Services• Master Data Services• Integration with Azure Data Market• Visualize with PowerView• Data Mining w/Predixion

Page 39: NoSQL for the SQL Pro

Demo - Hadoop Connector to Excel

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Other types of cloud data services

Hosting public datasets• Pay to read• Earn revenue by offering for

read

Cleaning / matching (your) data • ETL – Microsoft Data

Explorer, Google Refine• Data Quality – Windows

Azure Data Market, InfoChimps, DataMarket.com

Page 41: NoSQL for the SQL Pro

Collecting BigData• Sensors everywhere• Structured, Semi-structured, Unstructured vs. Data

Standards• M2M• Public Datasets

– Freebase– Azure DataMarket– Hillary Mason’s list

41

Page 42: NoSQL for the SQL Pro

NoSQL To-Do List

Understand types of NoSQL databases• Use NoSQL when business needs designate• Use the right type of NoSQL for your business problem

Try out NoSQL on the cloud• Quick and cheap for behavioral data• Mashup cloud datasets• Good for specialized use cases, i.e. dev, test , training environments

Learn NoSQL access technologies & services• New query languages, i.e. MapReduce, R, Infer.NET • New query tools (vendor-specific) – Google Refine, Amazon

Karmasphere, Microsoft Excel connectors, etc…• Windows Azure Data Market, other public data markets

Page 43: NoSQL for the SQL Pro

www.TeachingKidsProgramming.org• Free Courseware (Java, Small Basic or C# [on Pluralsight])• Do a Recipe Teach a Kid (Ages 10 ++)• VOTE at http://www.azureDevs.com, CONFIRM via email and

SHARE (tweet)

• recipes)

Page 44: NoSQL for the SQL Pro

VOTECONFIRMSHARE

Page 45: NoSQL for the SQL Pro

Keep Learning• Twitter: @LynnLangit• YouTube:

http://www.youtube.com/user/SoCalDevGal

• Hire me– To help build your BI/Big Data solution– To teach your team next gen BI– To learn more about using NoSQL

solutions