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Don’t Lose The Data Battle Before It
Even Begins
Maneesh Joshi
Senior Director, Product Marketing and Strategy
SnapLogic
The data battle is brewing
2
Commodity
Hardware
Open Source
Algorithm Output = f(Your Data)
Data is everywhere
Users
Mobile
Enterprise
Cloud
Big Data
Data Center
ESB RDBMS
Simplifying Data Access
Users
Mobile
Enterprise
Cloud Big Data
Data Center
ESB RDBMS
Data Containerization with Snaps
BUY
• SnapStore
• Certified and supported
by SnapLogic
BUILD
• SDK + API
• Java, Python
• Customer, Partner or
SnapLogic
Big Data as a Service Architecture
Structured Data
Unstructured
Data
DB
Collect Translate & Enrich Distribute
1 32
Data
View
DB
6
Amazon Redshift
Select Customers
7
Corporate Power
• Store information on CouchDB in AWS as
semi-structured JSON documents with
100+ attributes
• SnapLogic, TIBCO and Java programs to
be used in “ingestion” layer to maintain
data in CouchDB
• Use AWS Elastic Search Layer on top of
CouchDB to provide querying
APPROACH
•6x improvement in development time
compared to TIBCO and hand-coding
•Intuitive graphic designer allows for agile
changes in response to requirements
•Seamless integration between cloud
applications and on-premise legacy
applications with conversion between
structured and semi-structured data
•Building snaps in SnapLogic to connect
with new systems determined to be the
fastest way to connect to a new system
•Full-automated one-touch deployment
allows for elastic scaling of SnapLogic
cluster
BENEFITS TO THE CLIENT
• BBY Open vision to encourage a vibrant
reseller and developer community.
• Data propagation from 15-20 major
backend systems, accrued over 12-15
years
• Backend Systems are continually
changing (30+ per month), so need to
move away from hand coding
• Million+ SKUs: Product
information, Warranty Plans with 100+
Attributes and Pricing (with 16
Localization Scenarios)
• External traffic is expanding by million hits
per month
BACKGROUND
Agile Cloud ETL for CouchDB on AWS
Summary
• Algorithm Output = f(Your Data)
• Without comprehensive data inputs, the battle
of Big Data is lost before it even begins
• SnapLogic speeds up access of structured and
unstructured data in the cloud, and on-premise
Q&A

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Don't Lose the Data Battle Before it Begins | #EDW13 Enterprise Data World 2013 | Session by Maneesh Joshi

  • 1. Don’t Lose The Data Battle Before It Even Begins Maneesh Joshi Senior Director, Product Marketing and Strategy SnapLogic
  • 2. The data battle is brewing 2 Commodity Hardware Open Source Algorithm Output = f(Your Data)
  • 5. Data Containerization with Snaps BUY • SnapStore • Certified and supported by SnapLogic BUILD • SDK + API • Java, Python • Customer, Partner or SnapLogic
  • 6. Big Data as a Service Architecture Structured Data Unstructured Data DB Collect Translate & Enrich Distribute 1 32 Data View DB 6 Amazon Redshift
  • 8. • Store information on CouchDB in AWS as semi-structured JSON documents with 100+ attributes • SnapLogic, TIBCO and Java programs to be used in “ingestion” layer to maintain data in CouchDB • Use AWS Elastic Search Layer on top of CouchDB to provide querying APPROACH •6x improvement in development time compared to TIBCO and hand-coding •Intuitive graphic designer allows for agile changes in response to requirements •Seamless integration between cloud applications and on-premise legacy applications with conversion between structured and semi-structured data •Building snaps in SnapLogic to connect with new systems determined to be the fastest way to connect to a new system •Full-automated one-touch deployment allows for elastic scaling of SnapLogic cluster BENEFITS TO THE CLIENT • BBY Open vision to encourage a vibrant reseller and developer community. • Data propagation from 15-20 major backend systems, accrued over 12-15 years • Backend Systems are continually changing (30+ per month), so need to move away from hand coding • Million+ SKUs: Product information, Warranty Plans with 100+ Attributes and Pricing (with 16 Localization Scenarios) • External traffic is expanding by million hits per month BACKGROUND Agile Cloud ETL for CouchDB on AWS
  • 9. Summary • Algorithm Output = f(Your Data) • Without comprehensive data inputs, the battle of Big Data is lost before it even begins • SnapLogic speeds up access of structured and unstructured data in the cloud, and on-premise
  • 10. Q&A

Notas do Editor

  1. Platform not toolingA la carte – don’t like that word
  2. 1990sValuable data was being generated but was really living in silo’d environments. The term MDM was not even coined till 2003As long as you could connect different systems together via a nightly, or sometimes even a weekly feed, that was pretty darn awesome!Technologies like ESBs, EAIs, ETLs… flourished.Data was mostly structured. Sitting in RDBMS systems2000sNetwork speeds increasedCosts went downPlayers like Salesforce and NetSuite started getting traction from SMB marketImmense value on cost and agilityFlexibility of to subscribe vs. perpetual licenses2005: Consumer / Social dataFB, Twitter, LinkedIn, amazon.com consumer reviews…Humans generating massive amounts of preference data, likes and dislikes, Data was different: Non-relational unstructured. Real-time dataHuge volumes: PetabytesProviding immense value to the business on their customers2010: MachineRFID tags. Various other sensors, weblogs. ArcSight got bought out for $1.5B by HPMassive amounts of dataExabytesSplunk had a successful IPO last monthSnap LogicThese 4 sources create an Impendence mismatch!Good luck doing all of this with an ESB Structured vs. unstructuredStreaming vs. batchPetabytes and Exabytes vs. GigaBytesPull vs. pushHub and spokeUnprecedented opportunity & desire to use dataData silos (data fragmentation) unavoidableLegacy Apps, Cloud Apps, and Hadoop are driving thisDifferent locations, protocols, formats, and architecturesData is more distributed & less accessible (less useful)Compounding due to volume & variety of apps & dataESB is just another connectionEnterprises must share data between their appsCollect, combine, process data into valuable informationCompetitive advantage will become necessity for survivalsnapLogic = data sharing platform
  3. 1990sValuable data was being generated but was really living in silo’d environments. The term MDM was not even coined till 2003As long as you could connect different systems together via a nightly, or sometimes even a weekly feed, that was pretty darn awesome!Technologies like ESBs, EAIs, ETLs… flourished.Data was mostly structured. Sitting in RDBMS systems2000sNetwork speeds increasedCosts went downPlayers like Salesforce and NetSuite started getting traction from SMB marketImmense value on cost and agilityFlexibility of to subscribe vs. perpetual licenses2005: Consumer / Social dataFB, Twitter, LinkedIn, amazon.com consumer reviews…Humans generating massive amounts of preference data, likes and dislikes, Data was different: Non-relational unstructured. Real-time dataHuge volumes: PetabytesProviding immense value to the business on their customers2010: MachineRFID tags. Various other sensors, weblogs. ArcSight got bought out for $1.5B by HPMassive amounts of dataExabytesSplunk had a successful IPO last monthSnap LogicThese 4 sources create an Impendence mismatch!Good luck doing all of this with an ESB Structured vs. unstructuredStreaming vs. batchPetabytes and Exabytes vs. GigaBytesPull vs. pushHub and spokeUnprecedented opportunity & desire to use dataData silos (data fragmentation) unavoidableLegacy Apps, Cloud Apps, and Hadoop are driving thisDifferent locations, protocols, formats, and architecturesData is more distributed & less accessible (less useful)Compounding due to volume & variety of apps & dataESB is just another connectionEnterprises must share data between their appsCollect, combine, process data into valuable informationCompetitive advantage will become necessity for survivalsnapLogic = data sharing platform
  4. Apple Like Model – we offer an API and about 200 SnapsBuild or BuyEasy to build w Java or Phython – An intern out of school built snaps in 4 daysBuild or Buy – Containerazation of accessAbstraction of the end point – so you do not need to know everything
  5. 3rd day on the job2 Dozen customers in a variety of industries,IT because that’s great for start ups – IT companies are early adopters and risk takers.Media (web architecture), Retail (Facing disruption from Amazon looking to increase their competitive advantage using software solutions and better access to informationWe are being managed by the security group at GE – GE Security: Apptio performed an independent security assessment on us before going live. RBC, AMEX took that further and performed even more rigorous data plane and control plane security analysis. (Single channel, port usage.)