SlideShare a Scribd company logo
1 of 26
John Glendenning
DataStax
‘Real-time data driven services in the Cloud’
Real-time Data Driven Services in the Cloud
John Glendenning, DataStax
VP & GM EMEA
Line of Business Manager: Adapt With Customers
“I have to move as fast as my
market. I can‟t get slowed down
by people telling me this is
going to take six months. It‟s got
to be ready, quickly. No matter
what. And I need to adapt
quickly with my customers.
VP of IT: How Can I Scale Without Surprises?
“Given the explosion of data in the
enterprise, how can I scale my IT
investment to meet the demands of
my lines of business, without taking
on undue risk? (My choices are to
spend $10 million to scale what I‟ve
got versus do something new)”
Nearly All Businesses Must Think Global
Datacenter
Cloud
About 1/2
OF ALL SALES
will be online
BY THE END
OF 2013
Source: (http://www.datastax.com/resources/whitepapers/bigdata)
24/7
monitoring
demands
Global
market
demands
Localization
deployment
Your Data Demands Can Change in an Instant
2012201120102009
Fluctuating
traffic
demands
14
24 25
13
Fi
5
24
Major
Changes:
The Evolving
Data Center
DataStax in the News
Big movies, big data: Netflix
embraces NoSQL in the cloud
With billions of reads and writes daily,
Netflix relies on NoSQL database
Cassandra to replace a legacy Oracle
deployment
May 02, 2013
(AP) The company chose Cassandra from
DataStax for its flexibility to create and
manage data clusters quickly, particularly in
the cloud. Christos Kalantzis, Netflix's
manager of cloud and platform engineering,
explains that "solutions like Oracle don't run
very well on virtualized hardware ... the
architecture of Cassandra and the availability
and consistency tuning and scalability made it
Major Changes: The Evolving Data Center
LOB
App
Oracl
e
LOB
App
MySQL
LOB
App
SQL
Serve
r
“What’s Happening?”
Hyper Velocity
Transactional
NoSQL
Data Warehouse
Teradata/
Exadata
“What Happened?”
Massive Volume
Bit Bucket
Hadoop
What is a NoSQL Solution?
•
•
•
•
•
What is Apache Cassandra?
Apache Cassandra™ is a massively scalable distributed open
source database.
Cassandra is designed to handle big data workloads across
multiple data centres with no single point of failure, providing
enterprises with continuous availability without compromising
performance.
Cassandra Architecture Overview
• Fast / Linear performance
• Elastic scalability
• No single point of failure
• Enterprise / multi-data center / cloud
data distribution
• Location independence – read and
write anywhere
• Tunable data consistency (per
operation)
• Familiar SQL-Like language – CQL
• Dynamic / Flexible schema
• Can store structured, semi-
structured and unstructured data
• Replication Strategies from Amazon Dynamo paper
• Data structure and storage design from Google BigTable
paper
Apache Cassandra Leading in Performance
“In terms of scalability, there is a clear winner
throughout our experiments. Cassandra
achieves the highest throughput for the
maximum number of nodes in all experiments
with a linear increasing throughput.”
Solving Big Data Challenges for Enterprise Application Performance Management, Tilman Rable,
et al., August 2013, p. 10. Benchmark paper presented at the Very Large Database Conference,
2013. http://vldb.org/pvldb/vol5/p1724_tilmannrabl_vldb2013.pdf
http://techblog.netflix.com/2011/11/benchmarking-
cassandra-scalability-on.html
Netflix Cloud Benchmark…
End Point Independent NoSQL Benchmark
Highest in throughput…
Lowest in latency…
Who‟s using Cassandra?
Why We Exist
“I can create a Cassandra cluster
in any region of the world in 10
minutes. When marketing guys
decide we want to move into a
certain part of the world, we‟re
ready.”
Today‟s applications must be
always available and lightning
fast as they scale to previously
unimaginable levels.
Cassandra delivers both with a
beautifully simple and elegant
architecture.
What We Do Best
Cassandra was designed to do
things that are impossible in
other databases when it comes
to availability and
performance. Forget about
losing a machine here or there --
Cassandra delivers a world
where you can lose an entire
datacenter and still perform as
your customers expect.
“We have to be ready for disaster
recovery all the time. It‟s really
great that Cassandra allows for
active-active multiple data centers
where we can read and write
anywhere”
Jay Patel
Technical Architect at eBay
(Describing why they switched from legacy
relational architecture)
Without Breaking Your Budget
“To do what we need to
do today without
Cassandra would cost a
couple million dollars
more and would be
significantly harder to
manage operationally.”
DataStax: An Overview
• Founded in April 2010
• Home to Apache Cassandra Chair & most committers
• DataStax Enterprise – „Certified for Production‟ Big Data platform
• 300+ customers
• 100+ employees
• Headquartered in San Francisco Bay area
• European HQ in London, UK
• Funded by prominent venture firms
DataStax Enterprise
Cassandra users
come to DataStax
For Confidence
and Innovation
What Innovation?
• Production-certified
Cassandra
• Round-the-clock support
by the world‟s experts
• Your big data system is
easy to manage
• Satisfy your top security
officer
• Search and analyze your
hot data in context
Ask Different Things of Your Hot Data
Analyze
(Hadoop) Write
Read
Write Search
(Solr)
Search
(Solr)
Write
Read
DataStax
Enterprise
Multi-Data
Center
With the Security You Need
Analyze
(Hadoop) Write
Read
Write Search
(Solr)
Search
(Solr)
Write
Read
Into the Mainstream
“Security is very important to us,
so we‟re naturally very pleased
to see all the new security
features in DataStax Enterprise
3. Its scalability and
performance are enabling us to
develop an exciting financial
data analytics platform that will
create a better experience for
our audience.”
Managed From a Single Pane
Provision
Monitor
Plan
Optimize
Recover
CALL FOR PAPERS
SPONSORSHIP 30+ Sessions
TWO DAYSTRAINING DAY
Cassandra Summit Europe 2013
CALL FOR PAPERS
SPONSORSHIP OPPORTUNITY
TWO DAYS
30+ SESSIONS
TRAINING DAY
London Barbican 2013

More Related Content

What's hot

Sisense Introduction PPT
Sisense Introduction PPTSisense Introduction PPT
Sisense Introduction PPT
Khirod Sahu
 

What's hot (20)

Webinar with SnagAJob, HP Vertica and Looker - Data at the speed of busines s...
Webinar with SnagAJob, HP Vertica and Looker - Data at the speed of busines s...Webinar with SnagAJob, HP Vertica and Looker - Data at the speed of busines s...
Webinar with SnagAJob, HP Vertica and Looker - Data at the speed of busines s...
 
Azure Stream Analytics
Azure Stream AnalyticsAzure Stream Analytics
Azure Stream Analytics
 
Big Data Usecases
Big Data UsecasesBig Data Usecases
Big Data Usecases
 
Real Time Customer Experience for today's Right-Now Economy
Real Time Customer Experience for today's Right-Now EconomyReal Time Customer Experience for today's Right-Now Economy
Real Time Customer Experience for today's Right-Now Economy
 
Engaging with Cloudera & Morning Wrap Up
Engaging with Cloudera & Morning Wrap UpEngaging with Cloudera & Morning Wrap Up
Engaging with Cloudera & Morning Wrap Up
 
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Panel - Interactive Applic...
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Panel - Interactive Applic...Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Panel - Interactive Applic...
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Panel - Interactive Applic...
 
Finding business value in Big Data
Finding business value in Big DataFinding business value in Big Data
Finding business value in Big Data
 
A Modern Data Architecture in Azure, presented by Armand van Oijen (Kadenza) ...
A Modern Data Architecture in Azure, presented by Armand van Oijen (Kadenza) ...A Modern Data Architecture in Azure, presented by Armand van Oijen (Kadenza) ...
A Modern Data Architecture in Azure, presented by Armand van Oijen (Kadenza) ...
 
Webinar: Fighting Fraud with Graph Databases
Webinar: Fighting Fraud with Graph DatabasesWebinar: Fighting Fraud with Graph Databases
Webinar: Fighting Fraud with Graph Databases
 
Girish Sathyanarayana, Senior Data Scientist at AppLift, " Business Value Thr...
Girish Sathyanarayana, Senior Data Scientist at AppLift, " Business Value Thr...Girish Sathyanarayana, Senior Data Scientist at AppLift, " Business Value Thr...
Girish Sathyanarayana, Senior Data Scientist at AppLift, " Business Value Thr...
 
About Pragmatic Works
About Pragmatic WorksAbout Pragmatic Works
About Pragmatic Works
 
Why, How, When and When Not of Big Data For Startups
Why, How, When and When Not of Big Data For StartupsWhy, How, When and When Not of Big Data For Startups
Why, How, When and When Not of Big Data For Startups
 
Sisense Introduction PPT
Sisense Introduction PPTSisense Introduction PPT
Sisense Introduction PPT
 
Company report xinglian
Company report xinglianCompany report xinglian
Company report xinglian
 
Join 2017_Deep Dive_To Use or Not Use PDT's
Join 2017_Deep Dive_To Use or Not Use PDT'sJoin 2017_Deep Dive_To Use or Not Use PDT's
Join 2017_Deep Dive_To Use or Not Use PDT's
 
Best Practices to Deliver BI Solutions
Best Practices to Deliver BI SolutionsBest Practices to Deliver BI Solutions
Best Practices to Deliver BI Solutions
 
Bloor Research & DataStax: How graph databases solve previously unsolvable bu...
Bloor Research & DataStax: How graph databases solve previously unsolvable bu...Bloor Research & DataStax: How graph databases solve previously unsolvable bu...
Bloor Research & DataStax: How graph databases solve previously unsolvable bu...
 
Data Vault 2.0 - Getting Started | Certus Solutions
Data Vault 2.0 - Getting Started | Certus SolutionsData Vault 2.0 - Getting Started | Certus Solutions
Data Vault 2.0 - Getting Started | Certus Solutions
 
Analytics in a Day Virtual Workshop
Analytics in a Day Virtual WorkshopAnalytics in a Day Virtual Workshop
Analytics in a Day Virtual Workshop
 
Introducing DocumentDB
Introducing DocumentDB Introducing DocumentDB
Introducing DocumentDB
 

Similar to John Glendenning - Real time data driven services in the Cloud

How To Tell if Your Business Needs NoSQL
How To Tell if Your Business Needs NoSQLHow To Tell if Your Business Needs NoSQL
How To Tell if Your Business Needs NoSQL
DataStax
 
JAZOON'13 - Kai Waehner - Hadoop Integration
JAZOON'13 - Kai Waehner - Hadoop IntegrationJAZOON'13 - Kai Waehner - Hadoop Integration
JAZOON'13 - Kai Waehner - Hadoop Integration
jazoon13
 

Similar to John Glendenning - Real time data driven services in the Cloud (20)

Don't Let Your Shoppers Drop; 5 Rules for Today’s eCommerce
Don't Let Your Shoppers Drop; 5 Rules for Today’s eCommerceDon't Let Your Shoppers Drop; 5 Rules for Today’s eCommerce
Don't Let Your Shoppers Drop; 5 Rules for Today’s eCommerce
 
Webinar: Don't Leave Your Data in the Dark
Webinar: Don't Leave Your Data in the DarkWebinar: Don't Leave Your Data in the Dark
Webinar: Don't Leave Your Data in the Dark
 
Webinar: ROI on Big Data - RDBMS, NoSQL or Both? A Simple Guide for Knowing H...
Webinar: ROI on Big Data - RDBMS, NoSQL or Both? A Simple Guide for Knowing H...Webinar: ROI on Big Data - RDBMS, NoSQL or Both? A Simple Guide for Knowing H...
Webinar: ROI on Big Data - RDBMS, NoSQL or Both? A Simple Guide for Knowing H...
 
Webinar | From Zero to 1 Million with Google Cloud Platform and DataStax
Webinar | From Zero to 1 Million with Google Cloud Platform and DataStaxWebinar | From Zero to 1 Million with Google Cloud Platform and DataStax
Webinar | From Zero to 1 Million with Google Cloud Platform and DataStax
 
How To Tell if Your Business Needs NoSQL
How To Tell if Your Business Needs NoSQLHow To Tell if Your Business Needs NoSQL
How To Tell if Your Business Needs NoSQL
 
How much money do you lose every time your ecommerce site goes down?
How much money do you lose every time your ecommerce site goes down?How much money do you lose every time your ecommerce site goes down?
How much money do you lose every time your ecommerce site goes down?
 
DataStax
DataStaxDataStax
DataStax
 
Big Data Made Easy: A Simple, Scalable Solution for Getting Started with Hadoop
Big Data Made Easy:  A Simple, Scalable Solution for Getting Started with HadoopBig Data Made Easy:  A Simple, Scalable Solution for Getting Started with Hadoop
Big Data Made Easy: A Simple, Scalable Solution for Getting Started with Hadoop
 
IBM Relay 2015: Open for Data
IBM Relay 2015: Open for Data IBM Relay 2015: Open for Data
IBM Relay 2015: Open for Data
 
ESGYN Overview
ESGYN OverviewESGYN Overview
ESGYN Overview
 
EsgynDB: A Big Data Engine. Simplifying Fast and Reliable Mixed Workloads
EsgynDB: A Big Data Engine. Simplifying Fast and Reliable Mixed Workloads EsgynDB: A Big Data Engine. Simplifying Fast and Reliable Mixed Workloads
EsgynDB: A Big Data Engine. Simplifying Fast and Reliable Mixed Workloads
 
Opportunity: Data, Analytic & Azure
Opportunity: Data, Analytic & Azure Opportunity: Data, Analytic & Azure
Opportunity: Data, Analytic & Azure
 
Analytics in a Day Ft. Synapse Virtual Workshop
Analytics in a Day Ft. Synapse Virtual WorkshopAnalytics in a Day Ft. Synapse Virtual Workshop
Analytics in a Day Ft. Synapse Virtual Workshop
 
Big Data and Oracle - 2013
Big Data and Oracle - 2013Big Data and Oracle - 2013
Big Data and Oracle - 2013
 
Enabling Next Gen Analytics with Azure Data Lake and StreamSets
Enabling Next Gen Analytics with Azure Data Lake and StreamSetsEnabling Next Gen Analytics with Azure Data Lake and StreamSets
Enabling Next Gen Analytics with Azure Data Lake and StreamSets
 
Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...
Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...
Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...
 
Overcoming Today's Data Challenges with MongoDB
Overcoming Today's Data Challenges with MongoDBOvercoming Today's Data Challenges with MongoDB
Overcoming Today's Data Challenges with MongoDB
 
WJAX 2013 Slides online: Big Data beyond Apache Hadoop - How to integrate ALL...
WJAX 2013 Slides online: Big Data beyond Apache Hadoop - How to integrate ALL...WJAX 2013 Slides online: Big Data beyond Apache Hadoop - How to integrate ALL...
WJAX 2013 Slides online: Big Data beyond Apache Hadoop - How to integrate ALL...
 
Choosing technologies for a big data solution in the cloud
Choosing technologies for a big data solution in the cloudChoosing technologies for a big data solution in the cloud
Choosing technologies for a big data solution in the cloud
 
JAZOON'13 - Kai Waehner - Hadoop Integration
JAZOON'13 - Kai Waehner - Hadoop IntegrationJAZOON'13 - Kai Waehner - Hadoop Integration
JAZOON'13 - Kai Waehner - Hadoop Integration
 

Recently uploaded

Recently uploaded (20)

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
 

John Glendenning - Real time data driven services in the Cloud

  • 1. John Glendenning DataStax ‘Real-time data driven services in the Cloud’
  • 2. Real-time Data Driven Services in the Cloud John Glendenning, DataStax VP & GM EMEA
  • 3. Line of Business Manager: Adapt With Customers “I have to move as fast as my market. I can‟t get slowed down by people telling me this is going to take six months. It‟s got to be ready, quickly. No matter what. And I need to adapt quickly with my customers.
  • 4. VP of IT: How Can I Scale Without Surprises? “Given the explosion of data in the enterprise, how can I scale my IT investment to meet the demands of my lines of business, without taking on undue risk? (My choices are to spend $10 million to scale what I‟ve got versus do something new)”
  • 5. Nearly All Businesses Must Think Global Datacenter Cloud About 1/2 OF ALL SALES will be online BY THE END OF 2013 Source: (http://www.datastax.com/resources/whitepapers/bigdata) 24/7 monitoring demands Global market demands Localization deployment
  • 6. Your Data Demands Can Change in an Instant 2012201120102009 Fluctuating traffic demands 14 24 25 13 Fi 5 24
  • 8. DataStax in the News Big movies, big data: Netflix embraces NoSQL in the cloud With billions of reads and writes daily, Netflix relies on NoSQL database Cassandra to replace a legacy Oracle deployment May 02, 2013 (AP) The company chose Cassandra from DataStax for its flexibility to create and manage data clusters quickly, particularly in the cloud. Christos Kalantzis, Netflix's manager of cloud and platform engineering, explains that "solutions like Oracle don't run very well on virtualized hardware ... the architecture of Cassandra and the availability and consistency tuning and scalability made it
  • 9. Major Changes: The Evolving Data Center LOB App Oracl e LOB App MySQL LOB App SQL Serve r “What’s Happening?” Hyper Velocity Transactional NoSQL Data Warehouse Teradata/ Exadata “What Happened?” Massive Volume Bit Bucket Hadoop
  • 10.
  • 11. What is a NoSQL Solution? • • • • •
  • 12. What is Apache Cassandra? Apache Cassandra™ is a massively scalable distributed open source database. Cassandra is designed to handle big data workloads across multiple data centres with no single point of failure, providing enterprises with continuous availability without compromising performance.
  • 13. Cassandra Architecture Overview • Fast / Linear performance • Elastic scalability • No single point of failure • Enterprise / multi-data center / cloud data distribution • Location independence – read and write anywhere • Tunable data consistency (per operation) • Familiar SQL-Like language – CQL • Dynamic / Flexible schema • Can store structured, semi- structured and unstructured data • Replication Strategies from Amazon Dynamo paper • Data structure and storage design from Google BigTable paper
  • 14. Apache Cassandra Leading in Performance “In terms of scalability, there is a clear winner throughout our experiments. Cassandra achieves the highest throughput for the maximum number of nodes in all experiments with a linear increasing throughput.” Solving Big Data Challenges for Enterprise Application Performance Management, Tilman Rable, et al., August 2013, p. 10. Benchmark paper presented at the Very Large Database Conference, 2013. http://vldb.org/pvldb/vol5/p1724_tilmannrabl_vldb2013.pdf http://techblog.netflix.com/2011/11/benchmarking- cassandra-scalability-on.html Netflix Cloud Benchmark… End Point Independent NoSQL Benchmark Highest in throughput… Lowest in latency…
  • 16. Why We Exist “I can create a Cassandra cluster in any region of the world in 10 minutes. When marketing guys decide we want to move into a certain part of the world, we‟re ready.” Today‟s applications must be always available and lightning fast as they scale to previously unimaginable levels. Cassandra delivers both with a beautifully simple and elegant architecture.
  • 17. What We Do Best Cassandra was designed to do things that are impossible in other databases when it comes to availability and performance. Forget about losing a machine here or there -- Cassandra delivers a world where you can lose an entire datacenter and still perform as your customers expect. “We have to be ready for disaster recovery all the time. It‟s really great that Cassandra allows for active-active multiple data centers where we can read and write anywhere” Jay Patel Technical Architect at eBay (Describing why they switched from legacy relational architecture)
  • 18. Without Breaking Your Budget “To do what we need to do today without Cassandra would cost a couple million dollars more and would be significantly harder to manage operationally.”
  • 19. DataStax: An Overview • Founded in April 2010 • Home to Apache Cassandra Chair & most committers • DataStax Enterprise – „Certified for Production‟ Big Data platform • 300+ customers • 100+ employees • Headquartered in San Francisco Bay area • European HQ in London, UK • Funded by prominent venture firms
  • 20. DataStax Enterprise Cassandra users come to DataStax For Confidence and Innovation
  • 21. What Innovation? • Production-certified Cassandra • Round-the-clock support by the world‟s experts • Your big data system is easy to manage • Satisfy your top security officer • Search and analyze your hot data in context
  • 22. Ask Different Things of Your Hot Data Analyze (Hadoop) Write Read Write Search (Solr) Search (Solr) Write Read DataStax Enterprise Multi-Data Center
  • 23. With the Security You Need Analyze (Hadoop) Write Read Write Search (Solr) Search (Solr) Write Read
  • 24. Into the Mainstream “Security is very important to us, so we‟re naturally very pleased to see all the new security features in DataStax Enterprise 3. Its scalability and performance are enabling us to develop an exciting financial data analytics platform that will create a better experience for our audience.”
  • 25. Managed From a Single Pane Provision Monitor Plan Optimize Recover
  • 26. CALL FOR PAPERS SPONSORSHIP 30+ Sessions TWO DAYSTRAINING DAY Cassandra Summit Europe 2013 CALL FOR PAPERS SPONSORSHIP OPPORTUNITY TWO DAYS 30+ SESSIONS TRAINING DAY London Barbican 2013

Editor's Notes

  1. Always available,Target new regions quickly, Need elasticity as traffic ebbs and flows
  2. Always available,Target new regions quickly, Need elasticity as traffic ebbs and flows
  3. In the old days all your structured data storage requirements went into the classic RDBMS like DB2, Oracle, Sybase, InformixRelational databases were great! You could define data structures and insert, join them to your hearts content and query them to give you the bits of data you want. After a while you joins become a massive chain and your systems start slowing down! Change the data structure to perform better? Too risky!Noooo, just buy more kit to make it perform!Then there is the multi data centre configuration. What did we used to do in the past? SAN replication? Oracle replication? There was a lot of operational headaches there.Anyway, while Larry was busy eating his hot dog, TCP/IP became more popular, ISP’s started appearing, Mosaic Browsers started appearing on people’s home PC’s, the whole internet revolution happened! So clever guys such as Larry and Sergei, and brave guys like Jeff Bezos were busy building global scale services. They hired a whole bunch of really clever engineers and gave them the global scale problems to solve. How many of you guys here who had a boss saying, I’ve got an e-commerce website, write a database engine that scales globally? That was the sort of bold move these have made back then. And what’s good about them is that rather than keeping all of this their trade secret, they started publishing papers on their implementations.Then this guy came along, stole Amazon Dynamo DB engineer AvinashLakshman, and built Cassandra, and eventually had it open sourced.Next slide
  4. http://www.datastax.com/company/news-and-events/events/cassandrasummit2013