SlideShare a Scribd company logo
DATA on AZURE
Pini Krisher DBA TL at
etoro (www.etoro.com)
@krisherpi
Agenda:
What kind of DATA can we put in Azure?
What forms of DATA Storage Azure can offer?
Way of works with those DATA Storage.
What DATA can we take from Azure?
I will works a lot on the portal during the presentation….
What can we put?
All data or storage you want
Problems:
No PCI or other compliance
Security – is the most important and problematic – but…
DATA on AZURE
Windows Azure SQL Databases
SQL Server on VM
Windows Azure Storage
Reporting
Hadoop on Azure
Recovery
DATABASES on AZURE
Windows Azure SQL Databases
SQL Server on VM
Windows Azure Storage
Windows
Azure SQL
Databases =
WASD =
SQL Azure =
PAAS
What is PAAS in DB world
You can not connect to the server
You can not manage hardware
You can not control hardware
No clusters ect…
So… what DBA’s can do?
Nothing in infrastructure – there are 3 replicas…
Applicative work: adding Indexes, short transaction
ect…
Performance tuning
High queries by CPU ,IO ect…
Azure DATA Centers
6 Data Centers
Nice movie at:
http://www.youtube.com/wa
tch?v=JJ44hEr5DFE
Logical structure of WASD
Subscription servers  DataBases
They can not talk with each other!!!!!!
Azure Portal
Create Server
Create DB – 3 ways (from portal, ssms, vs2012)
Location
Size – 1-150 GB
Security
Basic monitoring (monitoring in other tools like Quest)
Connection strings from the portal
SO – we have DB what's next?
Start working – build tables, insert data, create sP’s
Copy DB
Modify size
BACKUPS only to blobs!!!?????
Migrate existing data – how?
WAMW – tool from MSFT – free tool
Scripts in SSMS
Deploy from SSMS
BCP’s
Bacpac – Data Tier Application – to storage and to azure
Tools like red gate or so
Sync
Queries from SSMS about tuning
MW
SSMS
Portal
Ways of use
logs
Regular DB – no PCI yet
Lots of small DB’s
Scale up – increase DB size
Scale out – federation
Devops
Web protal
Connect – silver light – to 1 DB or to server
Run T-sql
Basic monitoring
Query plans
Add indexes
See DATA
Change schema
Features that are
Supported/not Supported
Supported:
New syntax
Auto Updates
Copy DB
Linked server from local DB’s
Not Supported:
Service broker
Jobs
profiler
Clr
Replication
Connections between DB’s in server
SSMS
SQL Server on VM
Create
Connect via RDP
Can control
Can monitor in the server
Azure Storage
Blob – can store any type of file,
backups, images, (create, use as
storage, upload, see in browser)
Q (can be in multi data centers)
Tables nosql– tools and manage
(Azure Storage explorer, VS2012)
Main portal
Azure storage
explorer
VS2012
Price ???
Start working
Migrate existing data
MarketPlace DATAMarket
Getting a lot of raw data
Getting application to manage data
Use application to see data
https://datamarket.azure.com/
SOME ARE FREE!!!!
Data on azure

More Related Content

What's hot

Managing a MongoDB Deployment
Managing a MongoDB DeploymentManaging a MongoDB Deployment
Managing a MongoDB Deployment
Tony Tam
 
How and when to use NoSQL
How and when to use NoSQLHow and when to use NoSQL
How and when to use NoSQL
Amazon Web Services
 
Keeping the Lights On with MongoDB
Keeping the Lights On with MongoDBKeeping the Lights On with MongoDB
Keeping the Lights On with MongoDB
Tony Tam
 
Deep Dive on Amazon Aurora - Covering New Feature Announcements
Deep Dive on Amazon Aurora - Covering New Feature AnnouncementsDeep Dive on Amazon Aurora - Covering New Feature Announcements
Deep Dive on Amazon Aurora - Covering New Feature Announcements
Amazon Web Services
 
Amazon Aurora: The New Relational Database Engine from Amazon
Amazon Aurora: The New Relational Database Engine from AmazonAmazon Aurora: The New Relational Database Engine from Amazon
Amazon Aurora: The New Relational Database Engine from Amazon
Amazon Web Services
 
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
Amazon Web Services
 
Amazon (AWS) Aurora
Amazon (AWS) AuroraAmazon (AWS) Aurora
Amazon (AWS) Aurora
PGConf APAC
 
Redshift
RedshiftRedshift
Redshift
Paulo Kieffer
 
The Matrix and DataStax
The Matrix and DataStaxThe Matrix and DataStax
The Matrix and DataStax
DataStax
 
Amazon Aurora Let's Talk About Performance
Amazon Aurora Let's Talk About PerformanceAmazon Aurora Let's Talk About Performance
Amazon Aurora Let's Talk About Performance
Danilo Poccia
 
Reduce latency and boost sql server io performance
Reduce latency and boost sql server io performanceReduce latency and boost sql server io performance
Reduce latency and boost sql server io performance
Kevin Kline
 
(DAT312) Using Amazon Aurora for Enterprise Workloads
(DAT312) Using Amazon Aurora for Enterprise Workloads(DAT312) Using Amazon Aurora for Enterprise Workloads
(DAT312) Using Amazon Aurora for Enterprise Workloads
Amazon Web Services
 
2010 mongo berlin-scaling
2010 mongo berlin-scaling2010 mongo berlin-scaling
2010 mongo berlin-scaling
MongoDB
 
Mining public datasets using opensource tools: Zeppelin, Spark and Juju
Mining public datasets using opensource tools: Zeppelin, Spark and JujuMining public datasets using opensource tools: Zeppelin, Spark and Juju
Mining public datasets using opensource tools: Zeppelin, Spark and Juju
seoul_engineer
 
Spark Summit EU talk by Oscar Castaneda
Spark Summit EU talk by Oscar CastanedaSpark Summit EU talk by Oscar Castaneda
Spark Summit EU talk by Oscar Castaneda
Spark Summit
 
SQL Server 2008 Integration Services
SQL Server 2008 Integration ServicesSQL Server 2008 Integration Services
SQL Server 2008 Integration Services
Eduardo Castro
 
Don’t Be Scared: Multi-Tenant Cluster Support at Scale (Kelly Attaway, Pandor...
Don’t Be Scared: Multi-Tenant Cluster Support at Scale (Kelly Attaway, Pandor...Don’t Be Scared: Multi-Tenant Cluster Support at Scale (Kelly Attaway, Pandor...
Don’t Be Scared: Multi-Tenant Cluster Support at Scale (Kelly Attaway, Pandor...
confluent
 
Building a unified data pipeline in Apache Spark
Building a unified data pipeline in Apache SparkBuilding a unified data pipeline in Apache Spark
Building a unified data pipeline in Apache Spark
DataWorks Summit
 
Migrating from MySQL to MongoDB at Wordnik
Migrating from MySQL to MongoDB at WordnikMigrating from MySQL to MongoDB at Wordnik
Migrating from MySQL to MongoDB at Wordnik
Tony Tam
 
Announcing Amazon Aurora with PostgreSQL Compatibility - January 2017 AWS Onl...
Announcing Amazon Aurora with PostgreSQL Compatibility - January 2017 AWS Onl...Announcing Amazon Aurora with PostgreSQL Compatibility - January 2017 AWS Onl...
Announcing Amazon Aurora with PostgreSQL Compatibility - January 2017 AWS Onl...
Amazon Web Services
 

What's hot (20)

Managing a MongoDB Deployment
Managing a MongoDB DeploymentManaging a MongoDB Deployment
Managing a MongoDB Deployment
 
How and when to use NoSQL
How and when to use NoSQLHow and when to use NoSQL
How and when to use NoSQL
 
Keeping the Lights On with MongoDB
Keeping the Lights On with MongoDBKeeping the Lights On with MongoDB
Keeping the Lights On with MongoDB
 
Deep Dive on Amazon Aurora - Covering New Feature Announcements
Deep Dive on Amazon Aurora - Covering New Feature AnnouncementsDeep Dive on Amazon Aurora - Covering New Feature Announcements
Deep Dive on Amazon Aurora - Covering New Feature Announcements
 
Amazon Aurora: The New Relational Database Engine from Amazon
Amazon Aurora: The New Relational Database Engine from AmazonAmazon Aurora: The New Relational Database Engine from Amazon
Amazon Aurora: The New Relational Database Engine from Amazon
 
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
 
Amazon (AWS) Aurora
Amazon (AWS) AuroraAmazon (AWS) Aurora
Amazon (AWS) Aurora
 
Redshift
RedshiftRedshift
Redshift
 
The Matrix and DataStax
The Matrix and DataStaxThe Matrix and DataStax
The Matrix and DataStax
 
Amazon Aurora Let's Talk About Performance
Amazon Aurora Let's Talk About PerformanceAmazon Aurora Let's Talk About Performance
Amazon Aurora Let's Talk About Performance
 
Reduce latency and boost sql server io performance
Reduce latency and boost sql server io performanceReduce latency and boost sql server io performance
Reduce latency and boost sql server io performance
 
(DAT312) Using Amazon Aurora for Enterprise Workloads
(DAT312) Using Amazon Aurora for Enterprise Workloads(DAT312) Using Amazon Aurora for Enterprise Workloads
(DAT312) Using Amazon Aurora for Enterprise Workloads
 
2010 mongo berlin-scaling
2010 mongo berlin-scaling2010 mongo berlin-scaling
2010 mongo berlin-scaling
 
Mining public datasets using opensource tools: Zeppelin, Spark and Juju
Mining public datasets using opensource tools: Zeppelin, Spark and JujuMining public datasets using opensource tools: Zeppelin, Spark and Juju
Mining public datasets using opensource tools: Zeppelin, Spark and Juju
 
Spark Summit EU talk by Oscar Castaneda
Spark Summit EU talk by Oscar CastanedaSpark Summit EU talk by Oscar Castaneda
Spark Summit EU talk by Oscar Castaneda
 
SQL Server 2008 Integration Services
SQL Server 2008 Integration ServicesSQL Server 2008 Integration Services
SQL Server 2008 Integration Services
 
Don’t Be Scared: Multi-Tenant Cluster Support at Scale (Kelly Attaway, Pandor...
Don’t Be Scared: Multi-Tenant Cluster Support at Scale (Kelly Attaway, Pandor...Don’t Be Scared: Multi-Tenant Cluster Support at Scale (Kelly Attaway, Pandor...
Don’t Be Scared: Multi-Tenant Cluster Support at Scale (Kelly Attaway, Pandor...
 
Building a unified data pipeline in Apache Spark
Building a unified data pipeline in Apache SparkBuilding a unified data pipeline in Apache Spark
Building a unified data pipeline in Apache Spark
 
Migrating from MySQL to MongoDB at Wordnik
Migrating from MySQL to MongoDB at WordnikMigrating from MySQL to MongoDB at Wordnik
Migrating from MySQL to MongoDB at Wordnik
 
Announcing Amazon Aurora with PostgreSQL Compatibility - January 2017 AWS Onl...
Announcing Amazon Aurora with PostgreSQL Compatibility - January 2017 AWS Onl...Announcing Amazon Aurora with PostgreSQL Compatibility - January 2017 AWS Onl...
Announcing Amazon Aurora with PostgreSQL Compatibility - January 2017 AWS Onl...
 

Viewers also liked

Binu Research & Rewards: Using mobile to reach the middle of the pyramid with...
Binu Research & Rewards: Using mobile to reach the middle of the pyramid with...Binu Research & Rewards: Using mobile to reach the middle of the pyramid with...
Binu Research & Rewards: Using mobile to reach the middle of the pyramid with...
afrikoin
 
Note making oum
Note making oumNote making oum
Note making oum
Camp Lazlo
 
Atelier Actions webmarketing pour doper son site - PoleN - CCI - CDT
Atelier   Actions webmarketing pour doper son site - PoleN - CCI - CDTAtelier   Actions webmarketing pour doper son site - PoleN - CCI - CDT
Atelier Actions webmarketing pour doper son site - PoleN - CCI - CDT
WILLIAMAUDEBERT
 
motivation
motivationmotivation
จ.พัทลุง
จ.พัทลุงจ.พัทลุง
จ.พัทลุง
SRINAKARIN MOTHER PRINCESS SCHOOL
 
Ags empleo enero2012 htl
Ags empleo enero2012 htlAgs empleo enero2012 htl
Ags empleo enero2012 htl
Jose Antonio Zapata Cabral
 
M01 malo9495 07_se_c01
M01 malo9495 07_se_c01M01 malo9495 07_se_c01
M01 malo9495 07_se_c01
Jennifer Freeman
 

Viewers also liked (7)

Binu Research & Rewards: Using mobile to reach the middle of the pyramid with...
Binu Research & Rewards: Using mobile to reach the middle of the pyramid with...Binu Research & Rewards: Using mobile to reach the middle of the pyramid with...
Binu Research & Rewards: Using mobile to reach the middle of the pyramid with...
 
Note making oum
Note making oumNote making oum
Note making oum
 
Atelier Actions webmarketing pour doper son site - PoleN - CCI - CDT
Atelier   Actions webmarketing pour doper son site - PoleN - CCI - CDTAtelier   Actions webmarketing pour doper son site - PoleN - CCI - CDT
Atelier Actions webmarketing pour doper son site - PoleN - CCI - CDT
 
motivation
motivationmotivation
motivation
 
จ.พัทลุง
จ.พัทลุงจ.พัทลุง
จ.พัทลุง
 
Ags empleo enero2012 htl
Ags empleo enero2012 htlAgs empleo enero2012 htl
Ags empleo enero2012 htl
 
M01 malo9495 07_se_c01
M01 malo9495 07_se_c01M01 malo9495 07_se_c01
M01 malo9495 07_se_c01
 

Similar to Data on azure

Data on azure details
Data on azure detailsData on azure details
Data on azure details
Pini Krisher
 
Optimiser votre infrastructure SQL Server avec Azure
Optimiser votre infrastructure SQL Server avec AzureOptimiser votre infrastructure SQL Server avec Azure
Optimiser votre infrastructure SQL Server avec Azure
Swiss Data Forum Swiss Data Forum
 
Afternoons with Azure - Azure Data Services
Afternoons with Azure - Azure Data ServicesAfternoons with Azure - Azure Data Services
Afternoons with Azure - Azure Data Services
CCG
 
Sql Azure Pass
Sql Azure PassSql Azure Pass
Sql Azure Pass
sqlserver.co.il
 
Sql Azure Pass
Sql Azure PassSql Azure Pass
Sql Azure Pass
sqlserver.co.il
 
BizSpark Startup Night Windows Azure March 29, 2011
BizSpark Startup Night Windows Azure March 29, 2011BizSpark Startup Night Windows Azure March 29, 2011
BizSpark Startup Night Windows Azure March 29, 2011
Spiffy
 
Dax & sql in power bi
Dax & sql in power biDax & sql in power bi
Dax & sql in power bi
Berkovich Consulting
 
A lap around microsofts business intelligence platform
A lap around microsofts business intelligence platformA lap around microsofts business intelligence platform
A lap around microsofts business intelligence platform
Ike Ellis
 
Be05 introduction to sql azure
Be05   introduction to sql azureBe05   introduction to sql azure
Be05 introduction to sql azure
DotNetCampus
 
DP-900.pdf
DP-900.pdfDP-900.pdf
DP-900.pdf
PavanKumarMantha2
 
Power BI with Essbase in the Oracle Cloud
Power BI with Essbase in the Oracle CloudPower BI with Essbase in the Oracle Cloud
Power BI with Essbase in the Oracle Cloud
Kellyn Pot'Vin-Gorman
 
Azure Weekly - 2015.01.20 - Marco Parenzan - Data Opportunities with Azure
Azure Weekly - 2015.01.20 - Marco Parenzan - Data Opportunities with AzureAzure Weekly - 2015.01.20 - Marco Parenzan - Data Opportunities with Azure
Azure Weekly - 2015.01.20 - Marco Parenzan - Data Opportunities with Azure
Marco Parenzan
 
Introducing Azure SQL Data Warehouse
Introducing Azure SQL Data WarehouseIntroducing Azure SQL Data Warehouse
Introducing Azure SQL Data Warehouse
James Serra
 
Microsoft Data Integration Pipelines: Azure Data Factory and SSIS
Microsoft Data Integration Pipelines: Azure Data Factory and SSISMicrosoft Data Integration Pipelines: Azure Data Factory and SSIS
Microsoft Data Integration Pipelines: Azure Data Factory and SSIS
Mark Kromer
 
Exploring Microsoft Azure Infrastructures
Exploring Microsoft Azure InfrastructuresExploring Microsoft Azure Infrastructures
Exploring Microsoft Azure Infrastructures
CCG
 
Sql server 2016 Discovery Day
Sql server 2016 Discovery DaySql server 2016 Discovery Day
Sql server 2016 Discovery Day
Thomas Sykes
 
2014.11.14 Data Opportunities with Azure
2014.11.14 Data Opportunities with Azure2014.11.14 Data Opportunities with Azure
2014.11.14 Data Opportunities with Azure
Marco Parenzan
 
Azure SQL DWH
Azure SQL DWHAzure SQL DWH
Azure SQL DWH
Shy Engelberg
 
How to choose between SharePoint lists, SQL Azure, Microsoft Dataverse with D...
How to choose between SharePoint lists, SQL Azure, Microsoft Dataverse with D...How to choose between SharePoint lists, SQL Azure, Microsoft Dataverse with D...
How to choose between SharePoint lists, SQL Azure, Microsoft Dataverse with D...
serge luca
 
SQL Azure Overview for Bizspark day
SQL Azure Overview for Bizspark daySQL Azure Overview for Bizspark day
SQL Azure Overview for Bizspark day
Eric Nelson
 

Similar to Data on azure (20)

Data on azure details
Data on azure detailsData on azure details
Data on azure details
 
Optimiser votre infrastructure SQL Server avec Azure
Optimiser votre infrastructure SQL Server avec AzureOptimiser votre infrastructure SQL Server avec Azure
Optimiser votre infrastructure SQL Server avec Azure
 
Afternoons with Azure - Azure Data Services
Afternoons with Azure - Azure Data ServicesAfternoons with Azure - Azure Data Services
Afternoons with Azure - Azure Data Services
 
Sql Azure Pass
Sql Azure PassSql Azure Pass
Sql Azure Pass
 
Sql Azure Pass
Sql Azure PassSql Azure Pass
Sql Azure Pass
 
BizSpark Startup Night Windows Azure March 29, 2011
BizSpark Startup Night Windows Azure March 29, 2011BizSpark Startup Night Windows Azure March 29, 2011
BizSpark Startup Night Windows Azure March 29, 2011
 
Dax & sql in power bi
Dax & sql in power biDax & sql in power bi
Dax & sql in power bi
 
A lap around microsofts business intelligence platform
A lap around microsofts business intelligence platformA lap around microsofts business intelligence platform
A lap around microsofts business intelligence platform
 
Be05 introduction to sql azure
Be05   introduction to sql azureBe05   introduction to sql azure
Be05 introduction to sql azure
 
DP-900.pdf
DP-900.pdfDP-900.pdf
DP-900.pdf
 
Power BI with Essbase in the Oracle Cloud
Power BI with Essbase in the Oracle CloudPower BI with Essbase in the Oracle Cloud
Power BI with Essbase in the Oracle Cloud
 
Azure Weekly - 2015.01.20 - Marco Parenzan - Data Opportunities with Azure
Azure Weekly - 2015.01.20 - Marco Parenzan - Data Opportunities with AzureAzure Weekly - 2015.01.20 - Marco Parenzan - Data Opportunities with Azure
Azure Weekly - 2015.01.20 - Marco Parenzan - Data Opportunities with Azure
 
Introducing Azure SQL Data Warehouse
Introducing Azure SQL Data WarehouseIntroducing Azure SQL Data Warehouse
Introducing Azure SQL Data Warehouse
 
Microsoft Data Integration Pipelines: Azure Data Factory and SSIS
Microsoft Data Integration Pipelines: Azure Data Factory and SSISMicrosoft Data Integration Pipelines: Azure Data Factory and SSIS
Microsoft Data Integration Pipelines: Azure Data Factory and SSIS
 
Exploring Microsoft Azure Infrastructures
Exploring Microsoft Azure InfrastructuresExploring Microsoft Azure Infrastructures
Exploring Microsoft Azure Infrastructures
 
Sql server 2016 Discovery Day
Sql server 2016 Discovery DaySql server 2016 Discovery Day
Sql server 2016 Discovery Day
 
2014.11.14 Data Opportunities with Azure
2014.11.14 Data Opportunities with Azure2014.11.14 Data Opportunities with Azure
2014.11.14 Data Opportunities with Azure
 
Azure SQL DWH
Azure SQL DWHAzure SQL DWH
Azure SQL DWH
 
How to choose between SharePoint lists, SQL Azure, Microsoft Dataverse with D...
How to choose between SharePoint lists, SQL Azure, Microsoft Dataverse with D...How to choose between SharePoint lists, SQL Azure, Microsoft Dataverse with D...
How to choose between SharePoint lists, SQL Azure, Microsoft Dataverse with D...
 
SQL Azure Overview for Bizspark day
SQL Azure Overview for Bizspark daySQL Azure Overview for Bizspark day
SQL Azure Overview for Bizspark day
 

Recently uploaded

Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframeDigital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Precisely
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
Zilliz
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Zilliz
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Brandon Minnick, MBA
 
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
saastr
 
Principle of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptxPrinciple of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptx
BibashShahi
 
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
Jason Yip
 
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
AstuteBusiness
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
panagenda
 
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansBiomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Neo4j
 
GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)
Javier Junquera
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Edge AI and Vision Alliance
 
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity serverDandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
Antonios Katsarakis
 
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Alex Pruden
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Safe Software
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
ssuserfac0301
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Neo4j
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
saastr
 

Recently uploaded (20)

Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframeDigital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
 
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
 
Principle of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptxPrinciple of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptx
 
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
 
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
 
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansBiomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
 
GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
 
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity serverDandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
 
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
 

Data on azure

  • 1. DATA on AZURE Pini Krisher DBA TL at etoro (www.etoro.com) @krisherpi
  • 2. Agenda: What kind of DATA can we put in Azure? What forms of DATA Storage Azure can offer? Way of works with those DATA Storage. What DATA can we take from Azure? I will works a lot on the portal during the presentation….
  • 3. What can we put? All data or storage you want Problems: No PCI or other compliance Security – is the most important and problematic – but…
  • 4. DATA on AZURE Windows Azure SQL Databases SQL Server on VM Windows Azure Storage Reporting Hadoop on Azure Recovery
  • 5.
  • 6. DATABASES on AZURE Windows Azure SQL Databases SQL Server on VM Windows Azure Storage
  • 8.
  • 9. What is PAAS in DB world You can not connect to the server You can not manage hardware You can not control hardware No clusters ect… So… what DBA’s can do? Nothing in infrastructure – there are 3 replicas… Applicative work: adding Indexes, short transaction ect… Performance tuning High queries by CPU ,IO ect…
  • 10. Azure DATA Centers 6 Data Centers Nice movie at: http://www.youtube.com/wa tch?v=JJ44hEr5DFE
  • 11. Logical structure of WASD Subscription servers  DataBases They can not talk with each other!!!!!!
  • 12. Azure Portal Create Server Create DB – 3 ways (from portal, ssms, vs2012) Location Size – 1-150 GB Security Basic monitoring (monitoring in other tools like Quest) Connection strings from the portal
  • 13. SO – we have DB what's next? Start working – build tables, insert data, create sP’s Copy DB Modify size BACKUPS only to blobs!!!????? Migrate existing data – how? WAMW – tool from MSFT – free tool Scripts in SSMS Deploy from SSMS BCP’s Bacpac – Data Tier Application – to storage and to azure Tools like red gate or so Sync Queries from SSMS about tuning MW SSMS Portal
  • 14. Ways of use logs Regular DB – no PCI yet Lots of small DB’s Scale up – increase DB size Scale out – federation Devops
  • 15. Web protal Connect – silver light – to 1 DB or to server Run T-sql Basic monitoring Query plans Add indexes See DATA Change schema
  • 16. Features that are Supported/not Supported Supported: New syntax Auto Updates Copy DB Linked server from local DB’s Not Supported: Service broker Jobs profiler Clr Replication Connections between DB’s in server SSMS
  • 17. SQL Server on VM Create Connect via RDP Can control Can monitor in the server
  • 18.
  • 19. Azure Storage Blob – can store any type of file, backups, images, (create, use as storage, upload, see in browser) Q (can be in multi data centers) Tables nosql– tools and manage (Azure Storage explorer, VS2012) Main portal Azure storage explorer VS2012
  • 21. MarketPlace DATAMarket Getting a lot of raw data Getting application to manage data Use application to see data https://datamarket.azure.com/ SOME ARE FREE!!!!