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June 15, 2016
)
How to Operationalise Real-Time Hadoop in
the Cloud
WEBINAR:
Welcome! Meet Today’s Speakers
• Ted Orme
• VP Technology
EMEA - Attunity
• Ian Archibald
• Pre Sales Director
EMEA - Attunity
Reminder
• Attendees are on mute
• Q & A at the end via chat
• Webinar is recorded for on-demand review
• David Tishgart
• Product Marketing
Director, Cloud Solutions -
Cloudera
• Hans Wieser
• Advanced Analytics
Partner Lead -
Microsoft
• Introductions
• Attunity - How to ingest the most valuable enterprise data into Hadoop
• Cloudera - Real-life use cases
• Microsoft - The scalable flexibility of Azure
• Attunity Replicate Demo
• Live Q&A session
Agenda
• Accelerate data delivery across enterprise and cloud
• Empower rapid utilisation of data by the business
• Continually optimise with intelligent insight
Attunity Corporate Overview
Over 2000 Customers in 65 Countries
Financial Services Manufacturing / Industrials GovernmentHealth Care
Technology / Telecommunications Other Industries
Enterprise Data Management
On Premise | Cloud | Across Platforms
Global Organisation
USA
EMEA
APAC
Attunity Platform for Enterprise Data Management
• Accelerate data delivery
• Empower rapid
utilisation of data
• Continuously improve
the management of data
Attunity Replicate Attunity Compose Attunity Visibility
Universal Data Availability Data Warehouse Automation Metrics Driven Data Management
Integrate
new platforms
Automate
ETL/EDW
Optimise
performance and cost
On Premises / Cloud
Hadoop FilesRDBMS EDW SAP Mainframe
Attunity Replicate
Move the data that moves your business
Demand
• Hadoop has moved out of test
• Enterprise Use Case
• Closer to Production
• Business impact
Enterprise + Real-time
VS
Sqoop + Batch
Attunity - Replicate
• High performance connectivity to Hadoop though native APIs for
data ingest and publication
• Automated schema generation in Hcatalog
• Drag & drop configuration with Click-2-Replicate design
• High-speed data load options:
• Full reload with overwrite
• Insert only appends
• Change Data Capture(CDC)
• In-memory data filtering and transformation
• Monitoring dashboard with web-based metrics, alerts and logfile
management
Operationalising Hadoop
Hadoop
Demand
• Easy Ingest + CDC
• Real-time processing
• Real-time monitoring
• Real-time Hadoop
• Scalable to 1000’s Applications
• One Publisher – Multiple Consumers
Attunity - Replicate
• Direct integration using Kafka APIs
• In-memory optimised data streaming
• Support for multi-topic and multi-partitioned
data publication
• Full Load and CDC
• Integrated management and monitoring via
GUI
Kafka and Real-time Streaming
T1/P0
T2/P1
T3/P0
Broker 1
Attunity Replicate for Kafka - Architecture
M0 M1 M2 M3 M4 M5 M6 M7 M8
M0 M1 M2 M3 M4 M5
M0 M1 M2 M3 M4 M5 M6 M7
T1/P1
T2/P0
Broker 2
M0 M1 M2 M3 M4
M0 M1 M2 M3 M4 M5 M6
Facilitate data availability in the Cloud for BI applications
BI & Analytics in Cloud
Database, Data Warehouse
Ingest data for Big Data Analytics using Hadoop in the CloudHadoop/Big Data
Hybrid, All in Cloud
Simplify and accelerate database & application migration
(“Lift & Shift”)
Cloud Data Migration
Prioritise EDW archiving, off-load cold/hot data to the CloudEDW Optimisation and
Migration
Hadoop in the Cloud
Attunity Replicate for Enterprise and Cloud
• Centralised control.
On Prem and Cloud.
• On-Prem to On-Prem
• On-Prem to Cloud
• Cloud to On-Prem
• Cloud to Cloud
• Wider breadth of sources and targets
• Optimized, Hi-Speed data transfer
• Data Compression
• Parallel/Concurrent data transfer
• Configurable batch sizes
TargetsSources
On Premises
Cloud Platform
HadoopRDBMS
Data Warehouse
Hadoop
RDBMS
Data Warehouse
Cloudera - Real life use
cases
Hadoop is driving board level initiatives
DRIVE CUSTOMER
INSIGHTS
IMPROVE PRODUCTS &
SERVICES EFFICIENCY
LOWER
BUSINESS RISKS
Modernize Data Architecture
Drivers for Hadoop in the Cloud
Where data
lives
Flexible
resourcing
Enterprise
Acceptance
Key requirements:
• Portability
• Security without
compromise
• Ecosystem support
The new analytics paradigm
Understand
why it
happened
Change
what
happens
next
Determine
what
happened
Make it
happen
consistently
Common Use Cases for Cloudera on Azure
Perpetually “on” clusters in the cloud
Common lift-and-shift cluster requirements:
• High availability and disaster recovery
• Cluster operational management
• Cluster auto-scaling
• Resource management
• Security
Examples of lift-and-shift-use cases in the cloud:
• HBase clusters
• Kafka clusters
• BI analytics
• Large, multi-user clusters
TRAVEL
» CUSTOMER EXPERIENCE
» INTERNET OF THINGS
» ADVANCED ANALYTICS
Preventative Maintenance
• To improve traveler satisfaction and
safety, a European needed to reduce
downtime for critical operational
machines
• Cloudera Enterprise on Azure captures
and correlates sensor data with
transactional data to proactively assess
the health of its machines and deliver
necessary fixes to prevent failure
HUMAN RESOURCES
» IMPROVED PRODUCTIVITY
» COST REDUCTION
» MACHINE LEARNING
Recruiting & Job Matching
• In a competitive market, Adecco S.A. wanted to
improve the accuracy of its job placement
technology
• Cloudera Enterprise on Azure powers unrivaled
search and match solution to more quickly
connect qualified candidates to job vacancies
• 30% reduction in time to fill vacancies
• 20% reduction in job board spend within first
three months of go-live date
Microsoft - The flexibility &
security of Azure
Cloud is becoming integral to business transformation
22
“71% of strategic buyers cite
scalability, cost, and business
agility as the most important
drivers for using cloud
services.“
– Gigaom Research
Leverage economies of scale
and expertise
Reshape how you engage
with customers
Drive new and more rapid
sources of innovation
23
Privacy &
Control
You control use and
access to your data.
Security
The confidentiality,
integrity, and
availability of your
data is protected.
Compliance
Designed to help
meet your
compliance needs.
Transparency
You have visibility
into where your data
is located and how it
is managed.
Our trusted cloud principles
Commitment to principles worthy of your organization’s trust
Continual evaluation,
benchmarking,
adoption, test & audit
Compliance strategy
helps customers address
business objectives,
industry standards, and
regulations, including
ongoing evaluation and
adoption of emerging
standards and practices.
Independent
verification
Regular verification on a
regular basis by third-
party audit firms.
Access to audit
reports
Microsoft shares audit
report findings and
compliance packages
with customers to help
them assess Microsoft
services against their
own legal and regulatory
requirements.
Best practices
Prescriptive guidance on
securing data, apps, and
infrastructure in Azure
makes it easier for
customers to achieve
compliance.
Compliance
certifications
Microsoft maintains a
team of experts focused
on ensuring Microsoft
meets its own compliance
obligations, which helps
customers meet their own
compliance requirements.
The Microsoft approach to compliance
To help you assess Microsoft services against your own legal and regulatory
requirements
24
Private Cloud
Consolidate datacenter
operations
MICROSOFT SOLUTIONS
Windows Server
System Center
Windows Azure Pack
Migrate to the cloud at your own pace
Microsoft Confidential 25
Consistent platform and tools | Single management console
Public Cloud
“Europe”
Achieve scale, agility
and lower cost
MICROSOFT SOLUTIONS
Microsoft Azure
Office 365
Microsoft Dynamics CRM Online
Public Cloud
“Germany”
Achieve scale, agility and
lower cost with German
Data Trustee Model
MICROSOFT SOLUTIONS
Microsoft Azure Germany
Office 365 Germany
Microsoft Dynamics CRM Online
Germany
Hybrid Cloud
Migrate less sensitive
data
MICROSOFT SOLUTIONS
Risk Assessment and Data
Governance services
Why a German cloud?
26
1Gartner, Market Trends: Cloud-Based Security Services Market, Worldwide, 2014, October 2013
Data privacy regulations in the European Union (EU) are among the strictest and strongest
in the world.
Regional
regulation
German privacy regulations are outlined and enforced through Federal Act and individual
state laws.
Local
regulation
Customers want to know where their customer data resides, who has access to it, and
which country's laws govern that access.
Data
residency
According to Gartner1, privacy requirements have severely impacted the deployment of
all forms of cloud-based services in the region
27
Complete cloud Hybrid options
Commitment to
compliance
Commitment to
innovation
Microsoft Cloud differentiators
Replicate Product Architecture and Demo
Attunity Replicate Architecture
Transfer
TransformFilter
Batch
CDC Incremental
In-Memory
File Channel
Batch
Hadoop
Files
RDBMS
Data Warehouse
Mainframe
Cloud
On-prem
Cloud
On-prem
Hadoop
Files
RDBMS
Data Warehouse
Kafka
Persistent Store
Heterogeneous – Broad support for sources and targets
RDBMS
Oracle
SQL Server
DB2 LUW
DB2 iSeries
DB2 z/OS
MySQL
Sybase ASE
Informix
Data Warehouse
Exadata
Teradata
Netezza
Vertica
Actian Vector
Actian Matrix
Hortonworks
Cloudera
MapR
Pivotal
Hadoop
IMS/DB
SQL M/P
Enscribe
RMS
VSAM
Legacy
AWS RDS
Salesforce
Cloud
RDBMS
Oracle
SQL Server
DB2 LUW
MySQL
PostgreSQL
Sybase ASE
Informix
Data Warehouse
Exadata
Teradata
Netezza
Vertica
Pivotal DB
(Greenplum)
Pivotal HAWQ
Actian Vector
Actian Matrix
Sybase IQ
Hortonworks
Cloudera
MapR
Pivotal
Hadoop
MongoDB
NoSQL
AWS RDS/Redshift/EC2
Google Cloud SQL
Google Cloud Dataproc
Azure SQL Data Warehouse
Azure SQL Database
Cloud
Effective: 12/10/2015
Kafka
Message Broker
targets
sources
Thanks!
attunity.com
View the webinar now!

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How to Operationalise Real-Time Hadoop in the Cloud

  • 1. June 15, 2016 ) How to Operationalise Real-Time Hadoop in the Cloud WEBINAR:
  • 2. Welcome! Meet Today’s Speakers • Ted Orme • VP Technology EMEA - Attunity • Ian Archibald • Pre Sales Director EMEA - Attunity Reminder • Attendees are on mute • Q & A at the end via chat • Webinar is recorded for on-demand review • David Tishgart • Product Marketing Director, Cloud Solutions - Cloudera • Hans Wieser • Advanced Analytics Partner Lead - Microsoft
  • 3. • Introductions • Attunity - How to ingest the most valuable enterprise data into Hadoop • Cloudera - Real-life use cases • Microsoft - The scalable flexibility of Azure • Attunity Replicate Demo • Live Q&A session Agenda
  • 4. • Accelerate data delivery across enterprise and cloud • Empower rapid utilisation of data by the business • Continually optimise with intelligent insight Attunity Corporate Overview Over 2000 Customers in 65 Countries Financial Services Manufacturing / Industrials GovernmentHealth Care Technology / Telecommunications Other Industries Enterprise Data Management On Premise | Cloud | Across Platforms Global Organisation USA EMEA APAC
  • 5. Attunity Platform for Enterprise Data Management • Accelerate data delivery • Empower rapid utilisation of data • Continuously improve the management of data Attunity Replicate Attunity Compose Attunity Visibility Universal Data Availability Data Warehouse Automation Metrics Driven Data Management Integrate new platforms Automate ETL/EDW Optimise performance and cost On Premises / Cloud Hadoop FilesRDBMS EDW SAP Mainframe
  • 6. Attunity Replicate Move the data that moves your business
  • 7. Demand • Hadoop has moved out of test • Enterprise Use Case • Closer to Production • Business impact Enterprise + Real-time VS Sqoop + Batch Attunity - Replicate • High performance connectivity to Hadoop though native APIs for data ingest and publication • Automated schema generation in Hcatalog • Drag & drop configuration with Click-2-Replicate design • High-speed data load options: • Full reload with overwrite • Insert only appends • Change Data Capture(CDC) • In-memory data filtering and transformation • Monitoring dashboard with web-based metrics, alerts and logfile management Operationalising Hadoop Hadoop
  • 8. Demand • Easy Ingest + CDC • Real-time processing • Real-time monitoring • Real-time Hadoop • Scalable to 1000’s Applications • One Publisher – Multiple Consumers Attunity - Replicate • Direct integration using Kafka APIs • In-memory optimised data streaming • Support for multi-topic and multi-partitioned data publication • Full Load and CDC • Integrated management and monitoring via GUI Kafka and Real-time Streaming
  • 9. T1/P0 T2/P1 T3/P0 Broker 1 Attunity Replicate for Kafka - Architecture M0 M1 M2 M3 M4 M5 M6 M7 M8 M0 M1 M2 M3 M4 M5 M0 M1 M2 M3 M4 M5 M6 M7 T1/P1 T2/P0 Broker 2 M0 M1 M2 M3 M4 M0 M1 M2 M3 M4 M5 M6
  • 10. Facilitate data availability in the Cloud for BI applications BI & Analytics in Cloud Database, Data Warehouse Ingest data for Big Data Analytics using Hadoop in the CloudHadoop/Big Data Hybrid, All in Cloud Simplify and accelerate database & application migration (“Lift & Shift”) Cloud Data Migration Prioritise EDW archiving, off-load cold/hot data to the CloudEDW Optimisation and Migration Hadoop in the Cloud
  • 11. Attunity Replicate for Enterprise and Cloud • Centralised control. On Prem and Cloud. • On-Prem to On-Prem • On-Prem to Cloud • Cloud to On-Prem • Cloud to Cloud • Wider breadth of sources and targets • Optimized, Hi-Speed data transfer • Data Compression • Parallel/Concurrent data transfer • Configurable batch sizes TargetsSources On Premises Cloud Platform HadoopRDBMS Data Warehouse Hadoop RDBMS Data Warehouse
  • 12. Cloudera - Real life use cases
  • 13. Hadoop is driving board level initiatives DRIVE CUSTOMER INSIGHTS IMPROVE PRODUCTS & SERVICES EFFICIENCY LOWER BUSINESS RISKS Modernize Data Architecture
  • 14. Drivers for Hadoop in the Cloud Where data lives Flexible resourcing Enterprise Acceptance Key requirements: • Portability • Security without compromise • Ecosystem support
  • 15. The new analytics paradigm Understand why it happened Change what happens next Determine what happened Make it happen consistently
  • 16. Common Use Cases for Cloudera on Azure Perpetually “on” clusters in the cloud Common lift-and-shift cluster requirements: • High availability and disaster recovery • Cluster operational management • Cluster auto-scaling • Resource management • Security Examples of lift-and-shift-use cases in the cloud: • HBase clusters • Kafka clusters • BI analytics • Large, multi-user clusters
  • 17. TRAVEL » CUSTOMER EXPERIENCE » INTERNET OF THINGS » ADVANCED ANALYTICS Preventative Maintenance • To improve traveler satisfaction and safety, a European needed to reduce downtime for critical operational machines • Cloudera Enterprise on Azure captures and correlates sensor data with transactional data to proactively assess the health of its machines and deliver necessary fixes to prevent failure
  • 18. HUMAN RESOURCES » IMPROVED PRODUCTIVITY » COST REDUCTION » MACHINE LEARNING Recruiting & Job Matching • In a competitive market, Adecco S.A. wanted to improve the accuracy of its job placement technology • Cloudera Enterprise on Azure powers unrivaled search and match solution to more quickly connect qualified candidates to job vacancies • 30% reduction in time to fill vacancies • 20% reduction in job board spend within first three months of go-live date
  • 19. Microsoft - The flexibility & security of Azure
  • 20. Cloud is becoming integral to business transformation 22 “71% of strategic buyers cite scalability, cost, and business agility as the most important drivers for using cloud services.“ – Gigaom Research Leverage economies of scale and expertise Reshape how you engage with customers Drive new and more rapid sources of innovation
  • 21. 23 Privacy & Control You control use and access to your data. Security The confidentiality, integrity, and availability of your data is protected. Compliance Designed to help meet your compliance needs. Transparency You have visibility into where your data is located and how it is managed. Our trusted cloud principles Commitment to principles worthy of your organization’s trust
  • 22. Continual evaluation, benchmarking, adoption, test & audit Compliance strategy helps customers address business objectives, industry standards, and regulations, including ongoing evaluation and adoption of emerging standards and practices. Independent verification Regular verification on a regular basis by third- party audit firms. Access to audit reports Microsoft shares audit report findings and compliance packages with customers to help them assess Microsoft services against their own legal and regulatory requirements. Best practices Prescriptive guidance on securing data, apps, and infrastructure in Azure makes it easier for customers to achieve compliance. Compliance certifications Microsoft maintains a team of experts focused on ensuring Microsoft meets its own compliance obligations, which helps customers meet their own compliance requirements. The Microsoft approach to compliance To help you assess Microsoft services against your own legal and regulatory requirements 24
  • 23. Private Cloud Consolidate datacenter operations MICROSOFT SOLUTIONS Windows Server System Center Windows Azure Pack Migrate to the cloud at your own pace Microsoft Confidential 25 Consistent platform and tools | Single management console Public Cloud “Europe” Achieve scale, agility and lower cost MICROSOFT SOLUTIONS Microsoft Azure Office 365 Microsoft Dynamics CRM Online Public Cloud “Germany” Achieve scale, agility and lower cost with German Data Trustee Model MICROSOFT SOLUTIONS Microsoft Azure Germany Office 365 Germany Microsoft Dynamics CRM Online Germany Hybrid Cloud Migrate less sensitive data MICROSOFT SOLUTIONS Risk Assessment and Data Governance services
  • 24. Why a German cloud? 26 1Gartner, Market Trends: Cloud-Based Security Services Market, Worldwide, 2014, October 2013 Data privacy regulations in the European Union (EU) are among the strictest and strongest in the world. Regional regulation German privacy regulations are outlined and enforced through Federal Act and individual state laws. Local regulation Customers want to know where their customer data resides, who has access to it, and which country's laws govern that access. Data residency According to Gartner1, privacy requirements have severely impacted the deployment of all forms of cloud-based services in the region
  • 25. 27 Complete cloud Hybrid options Commitment to compliance Commitment to innovation Microsoft Cloud differentiators
  • 27. Attunity Replicate Architecture Transfer TransformFilter Batch CDC Incremental In-Memory File Channel Batch Hadoop Files RDBMS Data Warehouse Mainframe Cloud On-prem Cloud On-prem Hadoop Files RDBMS Data Warehouse Kafka Persistent Store
  • 28. Heterogeneous – Broad support for sources and targets RDBMS Oracle SQL Server DB2 LUW DB2 iSeries DB2 z/OS MySQL Sybase ASE Informix Data Warehouse Exadata Teradata Netezza Vertica Actian Vector Actian Matrix Hortonworks Cloudera MapR Pivotal Hadoop IMS/DB SQL M/P Enscribe RMS VSAM Legacy AWS RDS Salesforce Cloud RDBMS Oracle SQL Server DB2 LUW MySQL PostgreSQL Sybase ASE Informix Data Warehouse Exadata Teradata Netezza Vertica Pivotal DB (Greenplum) Pivotal HAWQ Actian Vector Actian Matrix Sybase IQ Hortonworks Cloudera MapR Pivotal Hadoop MongoDB NoSQL AWS RDS/Redshift/EC2 Google Cloud SQL Google Cloud Dataproc Azure SQL Data Warehouse Azure SQL Database Cloud Effective: 12/10/2015 Kafka Message Broker targets sources