SlideShare uma empresa Scribd logo
1 de 6
©2015 Cambridge Semantics Inc. All rights reserved.
Anzo Smart Data Lake ™
Graph-based Data Discovery and Analytics
at Enterprise Scale
Contact:
Ben Szekely
Vice President & Founding Engineer
Solutions & Pre-sales
ben@cambridgesemantics.com
©2015 Cambridge Semantics Inc. All rights reserved.
Work the Way you Think
Graph-Based Data Discovery and Analytics
©2015 Cambridge Semantics Inc. All rights reserved.
Anzo Smart Data Lake™
Graph-based Data Discovery for the Enterprise
Anzo Smart Data Lake Server
Anzo Enterprise Server
• Self-service analytics,
visualization and data discovery
• Data curation, annotation and
application workflow
• MPP graph query engine for
interactive analytics at scale
• ODATA Integration for 3rd party
analytics tools
• Metadata, ontology and
mapping catalog
• Model-driven data provisioning
and loading
• Text analytics, 3rd Party NLP
• Canonical entity linking and
transformation
• Scalable Graph and Document
Storage
• Google Cloud Storage, Amazon
Web Services S3, Enterprise
Virtual Block Storage, NFS
Anzo Graph Query Engine
Anzo Ingestion Servers
Anzo Unstructured
Anzo Spark
Compiler
©2015 Cambridge Semantics Inc. All rights reserved.
Democratized Data Across Pharma
INDEFINITE
Drug Discovery Preclinical Clinical Trials FDA Review Scale-Up to Mfg.
Post-Marketing
Surveillance
ONE FDA-
APPROVED
DRUG
0.5 – 2
YEARS6 – 7 YEARS3 – 6 YEARS
NUMBER OF VOLUNTEERS
PHASE 1 PHASE 2 PHASE 3
5250~ 5,000 – 10,000
COMPOUNDS
PRE-DISCOVERY
20–100 100–500 1,000–5,000
INDSUBMITTED
NDA/BLASUBMITTED
R & D Competitive
Intelligence
Clinical trial data
integration & discovery
Medical Advisory
Boards Information
Management
Reference pricing &
revenue optimization
Clinical Data Standard
Management
Supply chain
management
PV & Safety Data
Management
Clinical trial site
selection & optimization
Pharm Dev Scientific
Data Management
Real World Evidence
(RWE) driven clinical
trials
©2015 Cambridge Semantics Inc. All rights reserved.
Democratized Data Across Pharma
INDEFINITE
Drug Discovery Preclinical Clinical Trials FDA Review Scale-Up to Mfg.
Post-Marketing
Surveillance
ONE FDA-
APPROVED
DRUG
0.5 – 2
YEARS6 – 7 YEARS3 – 6 YEARS
NUMBER OF VOLUNTEERS
PHASE 1 PHASE 2 PHASE 3
5250~ 5,000 – 10,000
COMPOUNDS
PRE-DISCOVERY
20–100 100–500 1,000–5,000
INDSUBMITTED
NDA/BLASUBMITTED
R & D Competitive
Intelligence
Clinical trial data
integration & discovery
Medical Advisory
Boards Information
Management
Reference pricing &
revenue optimization
Clinical Data Standard
Management
Supply chain
management
PV & Safety Data
Management
Clinical trial site
selection & optimization
Pharm Dev Scientific
Data Management
Real World Evidence
(RWE) driven clinical
trials
©2015 Cambridge Semantics Inc. All rights reserved.
Click here to view the full webinar.

Mais conteúdo relacionado

Mais procurados

Building A Self Service Analytics Platform on Hadoop
Building A Self Service Analytics Platform on HadoopBuilding A Self Service Analytics Platform on Hadoop
Building A Self Service Analytics Platform on HadoopCraig Warman
 
From Data Lakes to the Data Fabric: Our Vision for Digital Strategy
From Data Lakes to the Data Fabric: Our Vision for Digital StrategyFrom Data Lakes to the Data Fabric: Our Vision for Digital Strategy
From Data Lakes to the Data Fabric: Our Vision for Digital StrategyCambridge Semantics
 
Using Cloud Automation Technologies to Deliver an Enterprise Data Fabric
Using Cloud Automation Technologies to Deliver an Enterprise Data FabricUsing Cloud Automation Technologies to Deliver an Enterprise Data Fabric
Using Cloud Automation Technologies to Deliver an Enterprise Data FabricCambridge Semantics
 
Modern Data Discovery and Integration in Insurance
Modern Data Discovery and Integration in InsuranceModern Data Discovery and Integration in Insurance
Modern Data Discovery and Integration in InsuranceCambridge Semantics
 
Big Data Fabric 2.0 Drives Data Democratization
Big Data Fabric 2.0 Drives Data DemocratizationBig Data Fabric 2.0 Drives Data Democratization
Big Data Fabric 2.0 Drives Data DemocratizationCambridge Semantics
 
Knowledge Graph Discussion: Foundational Capability for Data Fabric, Data Int...
Knowledge Graph Discussion: Foundational Capability for Data Fabric, Data Int...Knowledge Graph Discussion: Foundational Capability for Data Fabric, Data Int...
Knowledge Graph Discussion: Foundational Capability for Data Fabric, Data Int...Cambridge Semantics
 
Should a Graph Database Be in Your Next Data Warehouse Stack?
Should a Graph Database Be in Your Next Data Warehouse Stack?Should a Graph Database Be in Your Next Data Warehouse Stack?
Should a Graph Database Be in Your Next Data Warehouse Stack?Cambridge Semantics
 
Going Beyond Rows and Columns with Graph Analytics
Going Beyond Rows and Columns with Graph AnalyticsGoing Beyond Rows and Columns with Graph Analytics
Going Beyond Rows and Columns with Graph AnalyticsCambridge Semantics
 
Sustainability Investment Research Using Cognitive Analytics
Sustainability Investment Research Using Cognitive AnalyticsSustainability Investment Research Using Cognitive Analytics
Sustainability Investment Research Using Cognitive AnalyticsCambridge Semantics
 
Graph-driven Data Integration: Accelerating and Automating Data Delivery for ...
Graph-driven Data Integration: Accelerating and Automating Data Delivery for ...Graph-driven Data Integration: Accelerating and Automating Data Delivery for ...
Graph-driven Data Integration: Accelerating and Automating Data Delivery for ...Cambridge Semantics
 
Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Informatio...
Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Informatio...Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Informatio...
Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Informatio...Cambridge Semantics
 
Risk Analytics Using Knowledge Graphs / FIBO with Deep Learning
Risk Analytics Using Knowledge Graphs / FIBO with Deep LearningRisk Analytics Using Knowledge Graphs / FIBO with Deep Learning
Risk Analytics Using Knowledge Graphs / FIBO with Deep LearningCambridge Semantics
 
AnzoGraph DB: Driving AI and Machine Insights with Knowledge Graphs in a Conn...
AnzoGraph DB: Driving AI and Machine Insights with Knowledge Graphs in a Conn...AnzoGraph DB: Driving AI and Machine Insights with Knowledge Graphs in a Conn...
AnzoGraph DB: Driving AI and Machine Insights with Knowledge Graphs in a Conn...Cambridge Semantics
 
Semantic Graph Databases: The Evolution of Relational Databases
Semantic Graph Databases: The Evolution of Relational DatabasesSemantic Graph Databases: The Evolution of Relational Databases
Semantic Graph Databases: The Evolution of Relational DatabasesCambridge Semantics
 
Necessity of Data Lakes in the Financial Services Sector
Necessity of Data Lakes in the Financial Services SectorNecessity of Data Lakes in the Financial Services Sector
Necessity of Data Lakes in the Financial Services SectorDataWorks Summit
 
A Dynamic Data Catalog for Autonomy and Self-Service
A Dynamic Data Catalog for Autonomy and Self-ServiceA Dynamic Data Catalog for Autonomy and Self-Service
A Dynamic Data Catalog for Autonomy and Self-ServiceDenodo
 
Large Scale Graph Processing & Machine Learning Algorithms for Payment Fraud ...
Large Scale Graph Processing & Machine Learning Algorithms for Payment Fraud ...Large Scale Graph Processing & Machine Learning Algorithms for Payment Fraud ...
Large Scale Graph Processing & Machine Learning Algorithms for Payment Fraud ...DataWorks Summit
 
Big Data Landscape 2016
Big Data Landscape 2016 Big Data Landscape 2016
Big Data Landscape 2016 Matt Turck
 
Harnessing the Power of Big Data at Freddie Mac
Harnessing the Power of Big Data at Freddie MacHarnessing the Power of Big Data at Freddie Mac
Harnessing the Power of Big Data at Freddie MacDataWorks Summit
 
Fighting Financial Crime with Artificial Intelligence
Fighting Financial Crime with Artificial IntelligenceFighting Financial Crime with Artificial Intelligence
Fighting Financial Crime with Artificial IntelligenceDataWorks Summit
 

Mais procurados (20)

Building A Self Service Analytics Platform on Hadoop
Building A Self Service Analytics Platform on HadoopBuilding A Self Service Analytics Platform on Hadoop
Building A Self Service Analytics Platform on Hadoop
 
From Data Lakes to the Data Fabric: Our Vision for Digital Strategy
From Data Lakes to the Data Fabric: Our Vision for Digital StrategyFrom Data Lakes to the Data Fabric: Our Vision for Digital Strategy
From Data Lakes to the Data Fabric: Our Vision for Digital Strategy
 
Using Cloud Automation Technologies to Deliver an Enterprise Data Fabric
Using Cloud Automation Technologies to Deliver an Enterprise Data FabricUsing Cloud Automation Technologies to Deliver an Enterprise Data Fabric
Using Cloud Automation Technologies to Deliver an Enterprise Data Fabric
 
Modern Data Discovery and Integration in Insurance
Modern Data Discovery and Integration in InsuranceModern Data Discovery and Integration in Insurance
Modern Data Discovery and Integration in Insurance
 
Big Data Fabric 2.0 Drives Data Democratization
Big Data Fabric 2.0 Drives Data DemocratizationBig Data Fabric 2.0 Drives Data Democratization
Big Data Fabric 2.0 Drives Data Democratization
 
Knowledge Graph Discussion: Foundational Capability for Data Fabric, Data Int...
Knowledge Graph Discussion: Foundational Capability for Data Fabric, Data Int...Knowledge Graph Discussion: Foundational Capability for Data Fabric, Data Int...
Knowledge Graph Discussion: Foundational Capability for Data Fabric, Data Int...
 
Should a Graph Database Be in Your Next Data Warehouse Stack?
Should a Graph Database Be in Your Next Data Warehouse Stack?Should a Graph Database Be in Your Next Data Warehouse Stack?
Should a Graph Database Be in Your Next Data Warehouse Stack?
 
Going Beyond Rows and Columns with Graph Analytics
Going Beyond Rows and Columns with Graph AnalyticsGoing Beyond Rows and Columns with Graph Analytics
Going Beyond Rows and Columns with Graph Analytics
 
Sustainability Investment Research Using Cognitive Analytics
Sustainability Investment Research Using Cognitive AnalyticsSustainability Investment Research Using Cognitive Analytics
Sustainability Investment Research Using Cognitive Analytics
 
Graph-driven Data Integration: Accelerating and Automating Data Delivery for ...
Graph-driven Data Integration: Accelerating and Automating Data Delivery for ...Graph-driven Data Integration: Accelerating and Automating Data Delivery for ...
Graph-driven Data Integration: Accelerating and Automating Data Delivery for ...
 
Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Informatio...
Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Informatio...Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Informatio...
Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Informatio...
 
Risk Analytics Using Knowledge Graphs / FIBO with Deep Learning
Risk Analytics Using Knowledge Graphs / FIBO with Deep LearningRisk Analytics Using Knowledge Graphs / FIBO with Deep Learning
Risk Analytics Using Knowledge Graphs / FIBO with Deep Learning
 
AnzoGraph DB: Driving AI and Machine Insights with Knowledge Graphs in a Conn...
AnzoGraph DB: Driving AI and Machine Insights with Knowledge Graphs in a Conn...AnzoGraph DB: Driving AI and Machine Insights with Knowledge Graphs in a Conn...
AnzoGraph DB: Driving AI and Machine Insights with Knowledge Graphs in a Conn...
 
Semantic Graph Databases: The Evolution of Relational Databases
Semantic Graph Databases: The Evolution of Relational DatabasesSemantic Graph Databases: The Evolution of Relational Databases
Semantic Graph Databases: The Evolution of Relational Databases
 
Necessity of Data Lakes in the Financial Services Sector
Necessity of Data Lakes in the Financial Services SectorNecessity of Data Lakes in the Financial Services Sector
Necessity of Data Lakes in the Financial Services Sector
 
A Dynamic Data Catalog for Autonomy and Self-Service
A Dynamic Data Catalog for Autonomy and Self-ServiceA Dynamic Data Catalog for Autonomy and Self-Service
A Dynamic Data Catalog for Autonomy and Self-Service
 
Large Scale Graph Processing & Machine Learning Algorithms for Payment Fraud ...
Large Scale Graph Processing & Machine Learning Algorithms for Payment Fraud ...Large Scale Graph Processing & Machine Learning Algorithms for Payment Fraud ...
Large Scale Graph Processing & Machine Learning Algorithms for Payment Fraud ...
 
Big Data Landscape 2016
Big Data Landscape 2016 Big Data Landscape 2016
Big Data Landscape 2016
 
Harnessing the Power of Big Data at Freddie Mac
Harnessing the Power of Big Data at Freddie MacHarnessing the Power of Big Data at Freddie Mac
Harnessing the Power of Big Data at Freddie Mac
 
Fighting Financial Crime with Artificial Intelligence
Fighting Financial Crime with Artificial IntelligenceFighting Financial Crime with Artificial Intelligence
Fighting Financial Crime with Artificial Intelligence
 

Destaque

A Journey to Modern Apps with Containers, Microservices and Big Data
A Journey to Modern Apps with Containers, Microservices and Big DataA Journey to Modern Apps with Containers, Microservices and Big Data
A Journey to Modern Apps with Containers, Microservices and Big DataEdward Hsu
 
Lambda at Weather Scale - Cassandra Summit 2015
Lambda at Weather Scale - Cassandra Summit 2015Lambda at Weather Scale - Cassandra Summit 2015
Lambda at Weather Scale - Cassandra Summit 2015Robbie Strickland
 
Data Scientist 101 BI Dutch
Data Scientist 101 BI DutchData Scientist 101 BI Dutch
Data Scientist 101 BI DutchJos van Dongen
 
Hi Speed Datawarehousing
Hi Speed DatawarehousingHi Speed Datawarehousing
Hi Speed DatawarehousingJos van Dongen
 
SnappyData overview NikeTechTalk 11/19/15
SnappyData overview NikeTechTalk 11/19/15SnappyData overview NikeTechTalk 11/19/15
SnappyData overview NikeTechTalk 11/19/15SnappyData
 
Always On: Building Highly Available Applications on Cassandra
Always On: Building Highly Available Applications on CassandraAlways On: Building Highly Available Applications on Cassandra
Always On: Building Highly Available Applications on CassandraRobbie Strickland
 
Database Shootout: What's best for BI?
Database Shootout: What's best for BI?Database Shootout: What's best for BI?
Database Shootout: What's best for BI?Jos van Dongen
 
NoLambda: Combining Streaming, Ad-Hoc, Machine Learning and Batch Analysis
NoLambda: Combining Streaming, Ad-Hoc, Machine Learning and Batch AnalysisNoLambda: Combining Streaming, Ad-Hoc, Machine Learning and Batch Analysis
NoLambda: Combining Streaming, Ad-Hoc, Machine Learning and Batch AnalysisHelena Edelson
 
Scalable On-Demand Hadoop Clusters with Docker and Mesos
Scalable On-Demand Hadoop Clusters with Docker and MesosScalable On-Demand Hadoop Clusters with Docker and Mesos
Scalable On-Demand Hadoop Clusters with Docker and MesosDataWorks Summit
 
Online Analytics with Hadoop and Cassandra
Online Analytics with Hadoop and CassandraOnline Analytics with Hadoop and Cassandra
Online Analytics with Hadoop and CassandraRobbie Strickland
 
Kokonaisarkkitehtuurin kompetenssikehitys - Jaakko Riihinen V004
Kokonaisarkkitehtuurin kompetenssikehitys - Jaakko Riihinen V004Kokonaisarkkitehtuurin kompetenssikehitys - Jaakko Riihinen V004
Kokonaisarkkitehtuurin kompetenssikehitys - Jaakko Riihinen V004Jaakko Riihinen
 
Graph x pregel
Graph x pregelGraph x pregel
Graph x pregelSigmoid
 
Webinaari strateginen johtaminen 22.8.2016
Webinaari strateginen johtaminen 22.8.2016Webinaari strateginen johtaminen 22.8.2016
Webinaari strateginen johtaminen 22.8.2016Timo Kumpulainen
 
Streaming Big Data & Analytics For Scale
Streaming Big Data & Analytics For ScaleStreaming Big Data & Analytics For Scale
Streaming Big Data & Analytics For ScaleHelena Edelson
 
Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...
Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...
Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...Helena Edelson
 
SnappyData, the Spark Database. A unified cluster for streaming, transactions...
SnappyData, the Spark Database. A unified cluster for streaming, transactions...SnappyData, the Spark Database. A unified cluster for streaming, transactions...
SnappyData, the Spark Database. A unified cluster for streaming, transactions...SnappyData
 
Leveraging Kafka for Big Data in Real Time Bidding, Analytics, ML & Campaign ...
Leveraging Kafka for Big Data in Real Time Bidding, Analytics, ML & Campaign ...Leveraging Kafka for Big Data in Real Time Bidding, Analytics, ML & Campaign ...
Leveraging Kafka for Big Data in Real Time Bidding, Analytics, ML & Campaign ...Helena Edelson
 
Rethinking Streaming Analytics For Scale
Rethinking Streaming Analytics For ScaleRethinking Streaming Analytics For Scale
Rethinking Streaming Analytics For ScaleHelena Edelson
 
Building Reactive Distributed Systems For Streaming Big Data, Analytics & Mac...
Building Reactive Distributed Systems For Streaming Big Data, Analytics & Mac...Building Reactive Distributed Systems For Streaming Big Data, Analytics & Mac...
Building Reactive Distributed Systems For Streaming Big Data, Analytics & Mac...Helena Edelson
 
Four Things to Know About Reliable Spark Streaming with Typesafe and Databricks
Four Things to Know About Reliable Spark Streaming with Typesafe and DatabricksFour Things to Know About Reliable Spark Streaming with Typesafe and Databricks
Four Things to Know About Reliable Spark Streaming with Typesafe and DatabricksLegacy Typesafe (now Lightbend)
 

Destaque (20)

A Journey to Modern Apps with Containers, Microservices and Big Data
A Journey to Modern Apps with Containers, Microservices and Big DataA Journey to Modern Apps with Containers, Microservices and Big Data
A Journey to Modern Apps with Containers, Microservices and Big Data
 
Lambda at Weather Scale - Cassandra Summit 2015
Lambda at Weather Scale - Cassandra Summit 2015Lambda at Weather Scale - Cassandra Summit 2015
Lambda at Weather Scale - Cassandra Summit 2015
 
Data Scientist 101 BI Dutch
Data Scientist 101 BI DutchData Scientist 101 BI Dutch
Data Scientist 101 BI Dutch
 
Hi Speed Datawarehousing
Hi Speed DatawarehousingHi Speed Datawarehousing
Hi Speed Datawarehousing
 
SnappyData overview NikeTechTalk 11/19/15
SnappyData overview NikeTechTalk 11/19/15SnappyData overview NikeTechTalk 11/19/15
SnappyData overview NikeTechTalk 11/19/15
 
Always On: Building Highly Available Applications on Cassandra
Always On: Building Highly Available Applications on CassandraAlways On: Building Highly Available Applications on Cassandra
Always On: Building Highly Available Applications on Cassandra
 
Database Shootout: What's best for BI?
Database Shootout: What's best for BI?Database Shootout: What's best for BI?
Database Shootout: What's best for BI?
 
NoLambda: Combining Streaming, Ad-Hoc, Machine Learning and Batch Analysis
NoLambda: Combining Streaming, Ad-Hoc, Machine Learning and Batch AnalysisNoLambda: Combining Streaming, Ad-Hoc, Machine Learning and Batch Analysis
NoLambda: Combining Streaming, Ad-Hoc, Machine Learning and Batch Analysis
 
Scalable On-Demand Hadoop Clusters with Docker and Mesos
Scalable On-Demand Hadoop Clusters with Docker and MesosScalable On-Demand Hadoop Clusters with Docker and Mesos
Scalable On-Demand Hadoop Clusters with Docker and Mesos
 
Online Analytics with Hadoop and Cassandra
Online Analytics with Hadoop and CassandraOnline Analytics with Hadoop and Cassandra
Online Analytics with Hadoop and Cassandra
 
Kokonaisarkkitehtuurin kompetenssikehitys - Jaakko Riihinen V004
Kokonaisarkkitehtuurin kompetenssikehitys - Jaakko Riihinen V004Kokonaisarkkitehtuurin kompetenssikehitys - Jaakko Riihinen V004
Kokonaisarkkitehtuurin kompetenssikehitys - Jaakko Riihinen V004
 
Graph x pregel
Graph x pregelGraph x pregel
Graph x pregel
 
Webinaari strateginen johtaminen 22.8.2016
Webinaari strateginen johtaminen 22.8.2016Webinaari strateginen johtaminen 22.8.2016
Webinaari strateginen johtaminen 22.8.2016
 
Streaming Big Data & Analytics For Scale
Streaming Big Data & Analytics For ScaleStreaming Big Data & Analytics For Scale
Streaming Big Data & Analytics For Scale
 
Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...
Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...
Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...
 
SnappyData, the Spark Database. A unified cluster for streaming, transactions...
SnappyData, the Spark Database. A unified cluster for streaming, transactions...SnappyData, the Spark Database. A unified cluster for streaming, transactions...
SnappyData, the Spark Database. A unified cluster for streaming, transactions...
 
Leveraging Kafka for Big Data in Real Time Bidding, Analytics, ML & Campaign ...
Leveraging Kafka for Big Data in Real Time Bidding, Analytics, ML & Campaign ...Leveraging Kafka for Big Data in Real Time Bidding, Analytics, ML & Campaign ...
Leveraging Kafka for Big Data in Real Time Bidding, Analytics, ML & Campaign ...
 
Rethinking Streaming Analytics For Scale
Rethinking Streaming Analytics For ScaleRethinking Streaming Analytics For Scale
Rethinking Streaming Analytics For Scale
 
Building Reactive Distributed Systems For Streaming Big Data, Analytics & Mac...
Building Reactive Distributed Systems For Streaming Big Data, Analytics & Mac...Building Reactive Distributed Systems For Streaming Big Data, Analytics & Mac...
Building Reactive Distributed Systems For Streaming Big Data, Analytics & Mac...
 
Four Things to Know About Reliable Spark Streaming with Typesafe and Databricks
Four Things to Know About Reliable Spark Streaming with Typesafe and DatabricksFour Things to Know About Reliable Spark Streaming with Typesafe and Databricks
Four Things to Know About Reliable Spark Streaming with Typesafe and Databricks
 

Semelhante a Graph-based Discovery and Analytics at Enterprise Scale

BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...
BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...
BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...Big Data Week
 
Maven and google pharma r&d (1)
Maven and google pharma r&d  (1)Maven and google pharma r&d  (1)
Maven and google pharma r&d (1)Matt Barnes
 
Data and Analytics at Holland & Barrett: Building a '3-Michelin-star' Data Pl...
Data and Analytics at Holland & Barrett: Building a '3-Michelin-star' Data Pl...Data and Analytics at Holland & Barrett: Building a '3-Michelin-star' Data Pl...
Data and Analytics at Holland & Barrett: Building a '3-Michelin-star' Data Pl...Dobo Radichkov
 
Alten calsoft labs analytics service offerings
Alten calsoft labs   analytics service offeringsAlten calsoft labs   analytics service offerings
Alten calsoft labs analytics service offeringsSandeep Vyas
 
RWE & Patient Analytics Leveraging Databricks – A Use Case
RWE & Patient Analytics Leveraging Databricks – A Use CaseRWE & Patient Analytics Leveraging Databricks – A Use Case
RWE & Patient Analytics Leveraging Databricks – A Use CaseDatabricks
 
Enabling patient-centricity-pfizer
Enabling patient-centricity-pfizerEnabling patient-centricity-pfizer
Enabling patient-centricity-pfizerDavid Teszler
 
Enabling Patient Centricity for Pfizer through AWS Cloud (LFS301-S-i) - AWS r...
Enabling Patient Centricity for Pfizer through AWS Cloud (LFS301-S-i) - AWS r...Enabling Patient Centricity for Pfizer through AWS Cloud (LFS301-S-i) - AWS r...
Enabling Patient Centricity for Pfizer through AWS Cloud (LFS301-S-i) - AWS r...Amazon Web Services
 
From Business Hindsight to Foresight with Azure Synapse Analytics
From Business Hindsight to Foresight with Azure Synapse AnalyticsFrom Business Hindsight to Foresight with Azure Synapse Analytics
From Business Hindsight to Foresight with Azure Synapse AnalyticsKorcomptenz Inc
 
InterConnect 2013 Big Data & Analytics Keynote: Mychelle Mollot
InterConnect 2013 Big Data & Analytics Keynote: Mychelle MollotInterConnect 2013 Big Data & Analytics Keynote: Mychelle Mollot
InterConnect 2013 Big Data & Analytics Keynote: Mychelle MollotIBM Events
 
MDL UGM April 2007
MDL UGM April 2007MDL UGM April 2007
MDL UGM April 2007Chris Waller
 
Three Cool Things You Can Do with Standards
Three Cool Things You Can Do with StandardsThree Cool Things You Can Do with Standards
Three Cool Things You Can Do with StandardsMatt Turner
 
Centralizing Data to Address Imperatives in Clinical Development
Centralizing Data to Address Imperatives in Clinical DevelopmentCentralizing Data to Address Imperatives in Clinical Development
Centralizing Data to Address Imperatives in Clinical DevelopmentSaama
 
Uses of Data Lakes: Data Analytics Week SF
Uses of Data Lakes: Data Analytics Week SFUses of Data Lakes: Data Analytics Week SF
Uses of Data Lakes: Data Analytics Week SFAmazon Web Services
 
Analytic Excellence - Saying Goodbye to Old Constraints
Analytic Excellence - Saying Goodbye to Old ConstraintsAnalytic Excellence - Saying Goodbye to Old Constraints
Analytic Excellence - Saying Goodbye to Old ConstraintsInside Analysis
 
MongoDB World 2018: When a Startup Hits Growth Mode: Scaling from 200GB to 20TB!
MongoDB World 2018: When a Startup Hits Growth Mode: Scaling from 200GB to 20TB!MongoDB World 2018: When a Startup Hits Growth Mode: Scaling from 200GB to 20TB!
MongoDB World 2018: When a Startup Hits Growth Mode: Scaling from 200GB to 20TB!MongoDB
 
Analytical Innovation: How to Build the Next Generation Data Platform
Analytical Innovation: How to Build the Next Generation Data PlatformAnalytical Innovation: How to Build the Next Generation Data Platform
Analytical Innovation: How to Build the Next Generation Data PlatformVMware Tanzu
 
The Data Lake: Empowering Your Data Science Team
The Data Lake: Empowering Your Data Science TeamThe Data Lake: Empowering Your Data Science Team
The Data Lake: Empowering Your Data Science TeamSenturus
 
oracleadvancedanalyticsv2otn-2859525.pptx
oracleadvancedanalyticsv2otn-2859525.pptxoracleadvancedanalyticsv2otn-2859525.pptx
oracleadvancedanalyticsv2otn-2859525.pptxAdityaDas899782
 

Semelhante a Graph-based Discovery and Analytics at Enterprise Scale (20)

Sdl use cases
Sdl use casesSdl use cases
Sdl use cases
 
BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...
BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...
BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...
 
Maven and google pharma r&d (1)
Maven and google pharma r&d  (1)Maven and google pharma r&d  (1)
Maven and google pharma r&d (1)
 
Data and Analytics at Holland & Barrett: Building a '3-Michelin-star' Data Pl...
Data and Analytics at Holland & Barrett: Building a '3-Michelin-star' Data Pl...Data and Analytics at Holland & Barrett: Building a '3-Michelin-star' Data Pl...
Data and Analytics at Holland & Barrett: Building a '3-Michelin-star' Data Pl...
 
Alten calsoft labs analytics service offerings
Alten calsoft labs   analytics service offeringsAlten calsoft labs   analytics service offerings
Alten calsoft labs analytics service offerings
 
RWE & Patient Analytics Leveraging Databricks – A Use Case
RWE & Patient Analytics Leveraging Databricks – A Use CaseRWE & Patient Analytics Leveraging Databricks – A Use Case
RWE & Patient Analytics Leveraging Databricks – A Use Case
 
Enabling patient-centricity-pfizer
Enabling patient-centricity-pfizerEnabling patient-centricity-pfizer
Enabling patient-centricity-pfizer
 
Enabling Patient Centricity for Pfizer through AWS Cloud (LFS301-S-i) - AWS r...
Enabling Patient Centricity for Pfizer through AWS Cloud (LFS301-S-i) - AWS r...Enabling Patient Centricity for Pfizer through AWS Cloud (LFS301-S-i) - AWS r...
Enabling Patient Centricity for Pfizer through AWS Cloud (LFS301-S-i) - AWS r...
 
From Business Hindsight to Foresight with Azure Synapse Analytics
From Business Hindsight to Foresight with Azure Synapse AnalyticsFrom Business Hindsight to Foresight with Azure Synapse Analytics
From Business Hindsight to Foresight with Azure Synapse Analytics
 
InterConnect 2013 Big Data & Analytics Keynote: Mychelle Mollot
InterConnect 2013 Big Data & Analytics Keynote: Mychelle MollotInterConnect 2013 Big Data & Analytics Keynote: Mychelle Mollot
InterConnect 2013 Big Data & Analytics Keynote: Mychelle Mollot
 
MDL UGM April 2007
MDL UGM April 2007MDL UGM April 2007
MDL UGM April 2007
 
Three Cool Things You Can Do with Standards
Three Cool Things You Can Do with StandardsThree Cool Things You Can Do with Standards
Three Cool Things You Can Do with Standards
 
Centralizing Data to Address Imperatives in Clinical Development
Centralizing Data to Address Imperatives in Clinical DevelopmentCentralizing Data to Address Imperatives in Clinical Development
Centralizing Data to Address Imperatives in Clinical Development
 
Uses of Data Lakes: Data Analytics Week SF
Uses of Data Lakes: Data Analytics Week SFUses of Data Lakes: Data Analytics Week SF
Uses of Data Lakes: Data Analytics Week SF
 
Analytic Excellence - Saying Goodbye to Old Constraints
Analytic Excellence - Saying Goodbye to Old ConstraintsAnalytic Excellence - Saying Goodbye to Old Constraints
Analytic Excellence - Saying Goodbye to Old Constraints
 
MongoDB World 2018: When a Startup Hits Growth Mode: Scaling from 200GB to 20TB!
MongoDB World 2018: When a Startup Hits Growth Mode: Scaling from 200GB to 20TB!MongoDB World 2018: When a Startup Hits Growth Mode: Scaling from 200GB to 20TB!
MongoDB World 2018: When a Startup Hits Growth Mode: Scaling from 200GB to 20TB!
 
Analytical Innovation: How to Build the Next Generation Data Platform
Analytical Innovation: How to Build the Next Generation Data PlatformAnalytical Innovation: How to Build the Next Generation Data Platform
Analytical Innovation: How to Build the Next Generation Data Platform
 
Customer Uses of Data Lakes
Customer Uses of Data LakesCustomer Uses of Data Lakes
Customer Uses of Data Lakes
 
The Data Lake: Empowering Your Data Science Team
The Data Lake: Empowering Your Data Science TeamThe Data Lake: Empowering Your Data Science Team
The Data Lake: Empowering Your Data Science Team
 
oracleadvancedanalyticsv2otn-2859525.pptx
oracleadvancedanalyticsv2otn-2859525.pptxoracleadvancedanalyticsv2otn-2859525.pptx
oracleadvancedanalyticsv2otn-2859525.pptx
 

Mais de Cambridge Semantics

Using Machine Teaching in Text Analysis: Case Study on Using Machine Teaching...
Using Machine Teaching in Text Analysis: Case Study on Using Machine Teaching...Using Machine Teaching in Text Analysis: Case Study on Using Machine Teaching...
Using Machine Teaching in Text Analysis: Case Study on Using Machine Teaching...Cambridge Semantics
 
Fireside Chat with Bloor Research: State of the Graph Database Market 2020
Fireside Chat with Bloor Research: State of the Graph Database Market 2020Fireside Chat with Bloor Research: State of the Graph Database Market 2020
Fireside Chat with Bloor Research: State of the Graph Database Market 2020Cambridge Semantics
 
The Business Case for Semantic Web Ontology & Knowledge Graph
The Business Case for Semantic Web Ontology & Knowledge GraphThe Business Case for Semantic Web Ontology & Knowledge Graph
The Business Case for Semantic Web Ontology & Knowledge GraphCambridge Semantics
 
Healthcare and Life Sciences: Two Industries Separated by Common Data
Healthcare and Life Sciences: Two Industries Separated by Common DataHealthcare and Life Sciences: Two Industries Separated by Common Data
Healthcare and Life Sciences: Two Industries Separated by Common DataCambridge Semantics
 
Knowledge Graph for Machine Learning and Data Science
Knowledge Graph for Machine Learning and Data ScienceKnowledge Graph for Machine Learning and Data Science
Knowledge Graph for Machine Learning and Data ScienceCambridge Semantics
 
Scalable, Fast Analytics with Graph - Why and How
Scalable, Fast Analytics with Graph - Why and HowScalable, Fast Analytics with Graph - Why and How
Scalable, Fast Analytics with Graph - Why and HowCambridge Semantics
 
Accelerate Pharma R&D with Cross-Study Analytics
Accelerate Pharma R&D with Cross-Study AnalyticsAccelerate Pharma R&D with Cross-Study Analytics
Accelerate Pharma R&D with Cross-Study AnalyticsCambridge Semantics
 
Large Scale Graph Analytics with RDF and LPG Parallel Processing
Large Scale Graph Analytics with RDF and LPG Parallel ProcessingLarge Scale Graph Analytics with RDF and LPG Parallel Processing
Large Scale Graph Analytics with RDF and LPG Parallel ProcessingCambridge Semantics
 
Accelerate Digital Transformation with an Enterprise Big Data Fabric
Accelerate Digital Transformation with an Enterprise Big Data FabricAccelerate Digital Transformation with an Enterprise Big Data Fabric
Accelerate Digital Transformation with an Enterprise Big Data FabricCambridge Semantics
 

Mais de Cambridge Semantics (11)

Using Machine Teaching in Text Analysis: Case Study on Using Machine Teaching...
Using Machine Teaching in Text Analysis: Case Study on Using Machine Teaching...Using Machine Teaching in Text Analysis: Case Study on Using Machine Teaching...
Using Machine Teaching in Text Analysis: Case Study on Using Machine Teaching...
 
Fireside Chat with Bloor Research: State of the Graph Database Market 2020
Fireside Chat with Bloor Research: State of the Graph Database Market 2020Fireside Chat with Bloor Research: State of the Graph Database Market 2020
Fireside Chat with Bloor Research: State of the Graph Database Market 2020
 
The Business Case for Semantic Web Ontology & Knowledge Graph
The Business Case for Semantic Web Ontology & Knowledge GraphThe Business Case for Semantic Web Ontology & Knowledge Graph
The Business Case for Semantic Web Ontology & Knowledge Graph
 
Introduction to RDF*
Introduction to RDF*Introduction to RDF*
Introduction to RDF*
 
AnzoGraph DB - SPARQL 101
AnzoGraph DB - SPARQL 101AnzoGraph DB - SPARQL 101
AnzoGraph DB - SPARQL 101
 
Healthcare and Life Sciences: Two Industries Separated by Common Data
Healthcare and Life Sciences: Two Industries Separated by Common DataHealthcare and Life Sciences: Two Industries Separated by Common Data
Healthcare and Life Sciences: Two Industries Separated by Common Data
 
Knowledge Graph for Machine Learning and Data Science
Knowledge Graph for Machine Learning and Data ScienceKnowledge Graph for Machine Learning and Data Science
Knowledge Graph for Machine Learning and Data Science
 
Scalable, Fast Analytics with Graph - Why and How
Scalable, Fast Analytics with Graph - Why and HowScalable, Fast Analytics with Graph - Why and How
Scalable, Fast Analytics with Graph - Why and How
 
Accelerate Pharma R&D with Cross-Study Analytics
Accelerate Pharma R&D with Cross-Study AnalyticsAccelerate Pharma R&D with Cross-Study Analytics
Accelerate Pharma R&D with Cross-Study Analytics
 
Large Scale Graph Analytics with RDF and LPG Parallel Processing
Large Scale Graph Analytics with RDF and LPG Parallel ProcessingLarge Scale Graph Analytics with RDF and LPG Parallel Processing
Large Scale Graph Analytics with RDF and LPG Parallel Processing
 
Accelerate Digital Transformation with an Enterprise Big Data Fabric
Accelerate Digital Transformation with an Enterprise Big Data FabricAccelerate Digital Transformation with an Enterprise Big Data Fabric
Accelerate Digital Transformation with an Enterprise Big Data Fabric
 

Último

Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Delhi Call girls
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionfulawalesam
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxolyaivanovalion
 
Halmar dropshipping via API with DroFx
Halmar  dropshipping  via API with DroFxHalmar  dropshipping  via API with DroFx
Halmar dropshipping via API with DroFxolyaivanovalion
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxolyaivanovalion
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfMarinCaroMartnezBerg
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysismanisha194592
 
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...amitlee9823
 
Zuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptxZuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptxolyaivanovalion
 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAroojKhan71
 
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...SUHANI PANDEY
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxolyaivanovalion
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfRachmat Ramadhan H
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxolyaivanovalion
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxJohnnyPlasten
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...amitlee9823
 

Último (20)

Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interaction
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFx
 
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
Halmar dropshipping via API with DroFx
Halmar  dropshipping  via API with DroFxHalmar  dropshipping  via API with DroFx
Halmar dropshipping via API with DroFx
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptx
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get CytotecAbortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
 
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
 
Zuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptxZuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptx
 
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts ServiceCall Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
 
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptx
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptx
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptx
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
 

Graph-based Discovery and Analytics at Enterprise Scale

  • 1. ©2015 Cambridge Semantics Inc. All rights reserved. Anzo Smart Data Lake ™ Graph-based Data Discovery and Analytics at Enterprise Scale Contact: Ben Szekely Vice President & Founding Engineer Solutions & Pre-sales ben@cambridgesemantics.com
  • 2. ©2015 Cambridge Semantics Inc. All rights reserved. Work the Way you Think Graph-Based Data Discovery and Analytics
  • 3. ©2015 Cambridge Semantics Inc. All rights reserved. Anzo Smart Data Lake™ Graph-based Data Discovery for the Enterprise Anzo Smart Data Lake Server Anzo Enterprise Server • Self-service analytics, visualization and data discovery • Data curation, annotation and application workflow • MPP graph query engine for interactive analytics at scale • ODATA Integration for 3rd party analytics tools • Metadata, ontology and mapping catalog • Model-driven data provisioning and loading • Text analytics, 3rd Party NLP • Canonical entity linking and transformation • Scalable Graph and Document Storage • Google Cloud Storage, Amazon Web Services S3, Enterprise Virtual Block Storage, NFS Anzo Graph Query Engine Anzo Ingestion Servers Anzo Unstructured Anzo Spark Compiler
  • 4. ©2015 Cambridge Semantics Inc. All rights reserved. Democratized Data Across Pharma INDEFINITE Drug Discovery Preclinical Clinical Trials FDA Review Scale-Up to Mfg. Post-Marketing Surveillance ONE FDA- APPROVED DRUG 0.5 – 2 YEARS6 – 7 YEARS3 – 6 YEARS NUMBER OF VOLUNTEERS PHASE 1 PHASE 2 PHASE 3 5250~ 5,000 – 10,000 COMPOUNDS PRE-DISCOVERY 20–100 100–500 1,000–5,000 INDSUBMITTED NDA/BLASUBMITTED R & D Competitive Intelligence Clinical trial data integration & discovery Medical Advisory Boards Information Management Reference pricing & revenue optimization Clinical Data Standard Management Supply chain management PV & Safety Data Management Clinical trial site selection & optimization Pharm Dev Scientific Data Management Real World Evidence (RWE) driven clinical trials
  • 5. ©2015 Cambridge Semantics Inc. All rights reserved. Democratized Data Across Pharma INDEFINITE Drug Discovery Preclinical Clinical Trials FDA Review Scale-Up to Mfg. Post-Marketing Surveillance ONE FDA- APPROVED DRUG 0.5 – 2 YEARS6 – 7 YEARS3 – 6 YEARS NUMBER OF VOLUNTEERS PHASE 1 PHASE 2 PHASE 3 5250~ 5,000 – 10,000 COMPOUNDS PRE-DISCOVERY 20–100 100–500 1,000–5,000 INDSUBMITTED NDA/BLASUBMITTED R & D Competitive Intelligence Clinical trial data integration & discovery Medical Advisory Boards Information Management Reference pricing & revenue optimization Clinical Data Standard Management Supply chain management PV & Safety Data Management Clinical trial site selection & optimization Pharm Dev Scientific Data Management Real World Evidence (RWE) driven clinical trials
  • 6. ©2015 Cambridge Semantics Inc. All rights reserved. Click here to view the full webinar.