SlideShare a Scribd company logo
SmartInvestigatorisarevolutionaryandfullyscalableBigDataSecurityAnalyticsPlatformthat
unifiesdatafrom allnetworksandsystemsandoffersreal-timevisibilitythroughcontextual
dashboards.
DATASHEET
1/4
SolutionCapabilities
AdvancedEventSearch&Filter.CorrelationbetweenTensofMillions
ofEventsinSeconds
SmartInvestigatoruseslatestgenerationNo-SQLdatabase,beingabletofindrelateddatabased
onspecificcriteriaintermsofseconds,insteadofhoursinthecaseoftraditionaldatabase
technologies.ItperformsFullTextSearchineventdata,inaquickandresponsivemanner.
Browsermodule
ContextSensitiveDashboardsforRapidDecisionMakingamong
InfiniteDataLogs
Theauditeddataisquicklyslicedandthoroughlyorganizedintomultiplecategoriesof
information,toofferanimmediatedocumentedoverview.Alldashboardsarecontextsensitive,
meaningthatdataisslicedonthespecificcontextitwasgeneratedfrom.Thiscontextcanbevery
simple-fromdatafilteredonjustaplainuser,machine,IPaddressoranycombinationofthese,to
verycomplex,asthefilterfieldsupportslogicalexpressions.
SmartInvestigatorbreaks
theinformationsecuritysilo
barrierandmakesdata
actionable.Thesolution
leveragesacompany’s
investmentinexisting
securitysystemsandmakes
themothemostoutofeach
system’scapabilitywhile
layingagovernancelayer
overthemandofferingone
singlepointofvisibility,
action,cross-correlation
andreports.
Quicktimetovalue:1to4
hoursdeployment
FastROI
TimesavingsandTimesavingsand
resourcesoptimization:light
speedanswersonevents
andinvestigationswithin
billionsofevents
EnhanEnhanceddecision
makingcapabilitydueto
contextualdashboards
UnlimiUnlimitedbuilt-in
horizontalscalability,with
noextradatabasecosts
(additionalpoweravailable
in15minutes)
TechnologyPartner:©2017nextgensoware
6-10StolniculuiSt.,5thFloor,District1,Bucharest,Romania
Tel:+40(21)222-43-55/56|E-mail:office@nextgensoware.solutions
www.nextgensoware.solutions
DATASHEET
2/4
User-DefinedorBuilt-inReal-TimeAlerts
SmartInvestigatorcontainsaninnovativealertingsystemwithuser-definedalerts,addressingthe
mostspecificsecurityrequirements,ensuringgreataccuracyandminimumfalsealerts,inorder
toenableimmediatemeasures.
CompleteInteractive,GraphicalInvestigationModule
Theinvestigationmodulepresentstheauditeddatausingagraphicalinterface,enablingsecurity
investigatorstoaccessthecorrelatedviewofsecurityinformationthroughasingledashboard.
Audittreesarecontextsensitiveandcontaincorrelateddatabasedonpredefinedusercriteria.
AGreatUserExperienceandIntuitiveUserInterfaces
SmartInvestigator’sinterfaceshavebeencreatedbasedonthelateststandardsandresearchfor
anenhanceduserexperienceandcoherentuserinteractionflow,inordertomaketheapplication
easytolearnandremember,niceandefficienttousewithalowerrorrate.
IntegrationwithPhysicalSecuritySystems(NecNeoface,
FaceGuard,Genetec)
Theapplicationincludesnativeintegrationwithvideoanalyticsmodulestoofferaquick
correlationbetweenphysicalandvirtualevents.Thisway,securityinvestigatorscanquickly
correlatedatalogswithreallifeeventsfrom theactualphysicallocationsinordertofindthe
sourcesofissues.
TechnologyPartner:©2017nextgensoware
6-10StolniculuiSt.,5thFloor,District1,Bucharest,Romania
Tel:+40(21)222-43-55/56|E-mail:office@nextgensoware.solutions
www.nextgensoware.solutions
DATASHEET
3/4
Real-Time/ScheduleBasedConnectivitytoClassicalSIEMSystems
forDataFeeds
SmartInvestigatorfunctionsinbothpush/pullscenarios.ItcanpulldatafromtraditionalSIEMand
receivedatainrealtime,astheSIEMsystemsendsit.Thedataisthenimmediatelyavailablefor
investigation.
Ready-to-useScheduledReportsforComplianceandOptimized
InternalEffort
SmartInvestigator’ssetofpredefinedcustomreportsensurecompliancebasedoninternationally
recognizedstandardsandframeworks(ISO27001,COBIT-ControlObjectivesforInformationand
RelatedTechnology,FISMA-FederalInformationSecurityManagementAct,HIPPA-Health
InsurancePortabilityandAccountabilityAct,PCI/DSS-PaymentCardIndustry/DataSecurity
Standard,SOX-Sarbanes-OxleyAct)whileincreasingtheefficiencyofthesecurityteam.
AccurateOn-The-SpotEventIdentificationStartingfromOneSingle
ExceptionEvent
SmartInvestigatorincludesaself-learninganomalydetectionengine.AsdataflowsbetweenSIEM
systemsandSmartInvestigator,theAnomalyAnalyzerautomaticallycreatesaccesspatternsfor
users,basedonaninnovativeself-learningsystem.Dataisthencheckedwithintheapplication
modulestoquicklyidentifyout-of-the-ordinaryevents.
TechnicalSpecifications
Horizontalscalabilityatnoadditionaldatabasecost
Automatedanomalydetectioninevents(logons)daily/weekly/monthly
Self-learningintelligencewithintheanomalydetectionmodule
Advancedeventbrowser
Customreportcreationandorganization
Customalertcreationandscheduling
RReportpacksformultipletechnologies(Windows,Unix,Syslog,Linux)
Integratedsoware-hardwarepackage
TechnologyPartner:©2017nextgensoware
6-10StolniculuiSt.,5thFloor,District1,Bucharest,Romania
Tel:+40(21)222-43-55/56|E-mail:office@nextgensoware.solutions
www.nextgensoware.solutions
DATASHEET
4/4
Intrusion
Detection
LogAnalytics
Fraud
Management
SIEMEvent
Correlation
BusinessValue
Increasedproactivityinmanagingdailyriskatcorporatelevel
Increasedoperationalefficiencywithsmartdetailedanalysisforeachsecurityincident
Timesavingsandinternalresourcesoptimization:gettinglightspeedanswersoneventsand
investigations
Enhanceddecisionmakingsupportwithcontext-sensitivedashboardsandreports
Leveragingthepreviousinvestmentinsecuritysystemsandmakingthemostoutofeach
system’scapabilities
Lowertotalcostofownershipduetohighmanageabilityandautonomy
AboutNextgenSo ware
NextgenSowareisanagiletechnologycompanythatdeliversinnovativecybersecuritysoware
solutionsbasedonitsteam's15yearsexperienceinthefield.
Oursolutionsensurefullvisibility,complianceandreal-timeactionstokeepyourcompanysafe
andstrong.
DellInTrust+Change
Auditor
DellSonicWall
AlienVault
CiscoASA
CiscoISE
IBMQIBMQRadar
CiscoRouters
CiscoSwitches
HPArcSight
VideoAnalytics
(NECNeoface)
Splunk
Integrativeplatformsfor:
TechnologyPartner:©2017nextgensoware
6-10StolniculuiSt.,5thFloor,District1,Bucharest,Romania
Tel:+40(21)222-43-55/56|E-mail:office@nextgensoware.solutions
www.nextgensoware.solutions

More Related Content

What's hot

Future of Data Strategy
Future of Data StrategyFuture of Data Strategy
Future of Data Strategy
Denodo
 
IRJET- Mutual Key Oversight Procedure for Cloud Security and Distribution of ...
IRJET- Mutual Key Oversight Procedure for Cloud Security and Distribution of ...IRJET- Mutual Key Oversight Procedure for Cloud Security and Distribution of ...
IRJET- Mutual Key Oversight Procedure for Cloud Security and Distribution of ...
IRJET Journal
 
IRJET- A Novel and Secure Approach to Control and Access Data in Cloud St...
IRJET-  	  A Novel and Secure Approach to Control and Access Data in Cloud St...IRJET-  	  A Novel and Secure Approach to Control and Access Data in Cloud St...
IRJET- A Novel and Secure Approach to Control and Access Data in Cloud St...
IRJET Journal
 
K nearest neighbor classification over semantically secure encrypted relation...
K nearest neighbor classification over semantically secure encrypted relation...K nearest neighbor classification over semantically secure encrypted relation...
K nearest neighbor classification over semantically secure encrypted relation...
ieeepondy
 
K nearest neighbor classification over semantically secure encrypted relation...
K nearest neighbor classification over semantically secure encrypted relation...K nearest neighbor classification over semantically secure encrypted relation...
K nearest neighbor classification over semantically secure encrypted relation...
ieeepondy
 
Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...
Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...
Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...
Denodo
 

What's hot (6)

Future of Data Strategy
Future of Data StrategyFuture of Data Strategy
Future of Data Strategy
 
IRJET- Mutual Key Oversight Procedure for Cloud Security and Distribution of ...
IRJET- Mutual Key Oversight Procedure for Cloud Security and Distribution of ...IRJET- Mutual Key Oversight Procedure for Cloud Security and Distribution of ...
IRJET- Mutual Key Oversight Procedure for Cloud Security and Distribution of ...
 
IRJET- A Novel and Secure Approach to Control and Access Data in Cloud St...
IRJET-  	  A Novel and Secure Approach to Control and Access Data in Cloud St...IRJET-  	  A Novel and Secure Approach to Control and Access Data in Cloud St...
IRJET- A Novel and Secure Approach to Control and Access Data in Cloud St...
 
K nearest neighbor classification over semantically secure encrypted relation...
K nearest neighbor classification over semantically secure encrypted relation...K nearest neighbor classification over semantically secure encrypted relation...
K nearest neighbor classification over semantically secure encrypted relation...
 
K nearest neighbor classification over semantically secure encrypted relation...
K nearest neighbor classification over semantically secure encrypted relation...K nearest neighbor classification over semantically secure encrypted relation...
K nearest neighbor classification over semantically secure encrypted relation...
 
Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...
Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...
Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...
 

Similar to Smart Investigator Datasheet

“A Distributed Operational and Informational Technological Stack”
“A Distributed Operational and Informational Technological Stack” “A Distributed Operational and Informational Technological Stack”
“A Distributed Operational and Informational Technological Stack”
Stratio
 
4AA4-1812ENW
4AA4-1812ENW4AA4-1812ENW
4AA4-1812ENW
Petar Dimitrov
 
Ultralight Data Movement for IoT with SDC Edge
Ultralight Data Movement for IoT with SDC EdgeUltralight Data Movement for IoT with SDC Edge
Ultralight Data Movement for IoT with SDC Edge
DataWorks Summit
 
Cloud Analytics Ability to Design, Build, Secure, and Maintain Analytics Solu...
Cloud Analytics Ability to Design, Build, Secure, and Maintain Analytics Solu...Cloud Analytics Ability to Design, Build, Secure, and Maintain Analytics Solu...
Cloud Analytics Ability to Design, Build, Secure, and Maintain Analytics Solu...
YogeshIJTSRD
 
Azure-and-DataStax-IoT-Reference-Architecture-White-Paper_1
Azure-and-DataStax-IoT-Reference-Architecture-White-Paper_1Azure-and-DataStax-IoT-Reference-Architecture-White-Paper_1
Azure-and-DataStax-IoT-Reference-Architecture-White-Paper_1
Tim Fletcher
 
trisulnsm_6.5_datasheet
trisulnsm_6.5_datasheettrisulnsm_6.5_datasheet
trisulnsm_6.5_datasheet
trisulnsm
 
V mware sddc-micro-segmentation-white-paper
V mware sddc-micro-segmentation-white-paperV mware sddc-micro-segmentation-white-paper
V mware sddc-micro-segmentation-white-paper
EMC
 
136 latest dot net interview questions
136  latest dot net interview questions136  latest dot net interview questions
136 latest dot net interview questions
sandi4204
 
The Hive Think Tank - The Microsoft Big Data Stack by Raghu Ramakrishnan, CTO...
The Hive Think Tank - The Microsoft Big Data Stack by Raghu Ramakrishnan, CTO...The Hive Think Tank - The Microsoft Big Data Stack by Raghu Ramakrishnan, CTO...
The Hive Think Tank - The Microsoft Big Data Stack by Raghu Ramakrishnan, CTO...
The Hive
 
Embedded presentation
Embedded presentationEmbedded presentation
Embedded presentation
rohancool
 
Magiclock: Scalable Detection of Potential Deadlocks in Large-Scale Multithre...
Magiclock: Scalable Detection of Potential Deadlocks in Large-Scale Multithre...Magiclock: Scalable Detection of Potential Deadlocks in Large-Scale Multithre...
Magiclock: Scalable Detection of Potential Deadlocks in Large-Scale Multithre...
KaashivInfoTech Company
 
NetWitness Overview
NetWitness OverviewNetWitness Overview
NetWitness Overview
SilvioPappalardo
 
Denodo DataFest 2017: Lowering IT Costs with Big Data and Cloud Modernization
Denodo DataFest 2017: Lowering IT Costs with Big Data and Cloud ModernizationDenodo DataFest 2017: Lowering IT Costs with Big Data and Cloud Modernization
Denodo DataFest 2017: Lowering IT Costs with Big Data and Cloud Modernization
Denodo
 
Designing Internet of things
Designing Internet of thingsDesigning Internet of things
Designing Internet of things
Mahdi Hosseini Moghaddam
 
Zapata-Technology-Corporate-Capabilities-Slide-Deck_July-2023-1.pptx
Zapata-Technology-Corporate-Capabilities-Slide-Deck_July-2023-1.pptxZapata-Technology-Corporate-Capabilities-Slide-Deck_July-2023-1.pptx
Zapata-Technology-Corporate-Capabilities-Slide-Deck_July-2023-1.pptx
SeanHay6
 
Next-Gen Cloud Analytics with AWS, Big Data and Data Virtualization
Next-Gen Cloud Analytics with AWS, Big Data and Data VirtualizationNext-Gen Cloud Analytics with AWS, Big Data and Data Virtualization
Next-Gen Cloud Analytics with AWS, Big Data and Data Virtualization
Denodo
 
Big Data Companies and Apache Software
Big Data Companies and Apache SoftwareBig Data Companies and Apache Software
Big Data Companies and Apache Software
Bob Marcus
 
Extending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the PlatformExtending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the Platform
Cloudera, Inc.
 
IRJET- Review on Privacy Preserving on Multi Keyword Search over Encrypte...
IRJET-  	  Review on Privacy Preserving on Multi Keyword Search over Encrypte...IRJET-  	  Review on Privacy Preserving on Multi Keyword Search over Encrypte...
IRJET- Review on Privacy Preserving on Multi Keyword Search over Encrypte...
IRJET Journal
 
Sybase IQ Big Data
Sybase IQ Big DataSybase IQ Big Data
Sybase IQ Big Data
Sybase Türkiye
 

Similar to Smart Investigator Datasheet (20)

“A Distributed Operational and Informational Technological Stack”
“A Distributed Operational and Informational Technological Stack” “A Distributed Operational and Informational Technological Stack”
“A Distributed Operational and Informational Technological Stack”
 
4AA4-1812ENW
4AA4-1812ENW4AA4-1812ENW
4AA4-1812ENW
 
Ultralight Data Movement for IoT with SDC Edge
Ultralight Data Movement for IoT with SDC EdgeUltralight Data Movement for IoT with SDC Edge
Ultralight Data Movement for IoT with SDC Edge
 
Cloud Analytics Ability to Design, Build, Secure, and Maintain Analytics Solu...
Cloud Analytics Ability to Design, Build, Secure, and Maintain Analytics Solu...Cloud Analytics Ability to Design, Build, Secure, and Maintain Analytics Solu...
Cloud Analytics Ability to Design, Build, Secure, and Maintain Analytics Solu...
 
Azure-and-DataStax-IoT-Reference-Architecture-White-Paper_1
Azure-and-DataStax-IoT-Reference-Architecture-White-Paper_1Azure-and-DataStax-IoT-Reference-Architecture-White-Paper_1
Azure-and-DataStax-IoT-Reference-Architecture-White-Paper_1
 
trisulnsm_6.5_datasheet
trisulnsm_6.5_datasheettrisulnsm_6.5_datasheet
trisulnsm_6.5_datasheet
 
V mware sddc-micro-segmentation-white-paper
V mware sddc-micro-segmentation-white-paperV mware sddc-micro-segmentation-white-paper
V mware sddc-micro-segmentation-white-paper
 
136 latest dot net interview questions
136  latest dot net interview questions136  latest dot net interview questions
136 latest dot net interview questions
 
The Hive Think Tank - The Microsoft Big Data Stack by Raghu Ramakrishnan, CTO...
The Hive Think Tank - The Microsoft Big Data Stack by Raghu Ramakrishnan, CTO...The Hive Think Tank - The Microsoft Big Data Stack by Raghu Ramakrishnan, CTO...
The Hive Think Tank - The Microsoft Big Data Stack by Raghu Ramakrishnan, CTO...
 
Embedded presentation
Embedded presentationEmbedded presentation
Embedded presentation
 
Magiclock: Scalable Detection of Potential Deadlocks in Large-Scale Multithre...
Magiclock: Scalable Detection of Potential Deadlocks in Large-Scale Multithre...Magiclock: Scalable Detection of Potential Deadlocks in Large-Scale Multithre...
Magiclock: Scalable Detection of Potential Deadlocks in Large-Scale Multithre...
 
NetWitness Overview
NetWitness OverviewNetWitness Overview
NetWitness Overview
 
Denodo DataFest 2017: Lowering IT Costs with Big Data and Cloud Modernization
Denodo DataFest 2017: Lowering IT Costs with Big Data and Cloud ModernizationDenodo DataFest 2017: Lowering IT Costs with Big Data and Cloud Modernization
Denodo DataFest 2017: Lowering IT Costs with Big Data and Cloud Modernization
 
Designing Internet of things
Designing Internet of thingsDesigning Internet of things
Designing Internet of things
 
Zapata-Technology-Corporate-Capabilities-Slide-Deck_July-2023-1.pptx
Zapata-Technology-Corporate-Capabilities-Slide-Deck_July-2023-1.pptxZapata-Technology-Corporate-Capabilities-Slide-Deck_July-2023-1.pptx
Zapata-Technology-Corporate-Capabilities-Slide-Deck_July-2023-1.pptx
 
Next-Gen Cloud Analytics with AWS, Big Data and Data Virtualization
Next-Gen Cloud Analytics with AWS, Big Data and Data VirtualizationNext-Gen Cloud Analytics with AWS, Big Data and Data Virtualization
Next-Gen Cloud Analytics with AWS, Big Data and Data Virtualization
 
Big Data Companies and Apache Software
Big Data Companies and Apache SoftwareBig Data Companies and Apache Software
Big Data Companies and Apache Software
 
Extending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the PlatformExtending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the Platform
 
IRJET- Review on Privacy Preserving on Multi Keyword Search over Encrypte...
IRJET-  	  Review on Privacy Preserving on Multi Keyword Search over Encrypte...IRJET-  	  Review on Privacy Preserving on Multi Keyword Search over Encrypte...
IRJET- Review on Privacy Preserving on Multi Keyword Search over Encrypte...
 
Sybase IQ Big Data
Sybase IQ Big DataSybase IQ Big Data
Sybase IQ Big Data
 

Recently uploaded

ScyllaDB Tablets: Rethinking Replication
ScyllaDB Tablets: Rethinking ReplicationScyllaDB Tablets: Rethinking Replication
ScyllaDB Tablets: Rethinking Replication
ScyllaDB
 
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving
 
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdfLee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
leebarnesutopia
 
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving
 
What is an RPA CoE? Session 2 – CoE Roles
What is an RPA CoE?  Session 2 – CoE RolesWhat is an RPA CoE?  Session 2 – CoE Roles
What is an RPA CoE? Session 2 – CoE Roles
DianaGray10
 
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through StorytellingDemystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
Enterprise Knowledge
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
operationspcvita
 
Introducing BoxLang : A new JVM language for productivity and modularity!
Introducing BoxLang : A new JVM language for productivity and modularity!Introducing BoxLang : A new JVM language for productivity and modularity!
Introducing BoxLang : A new JVM language for productivity and modularity!
Ortus Solutions, Corp
 
Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
c5vrf27qcz
 
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid ResearchHarnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Neo4j
 
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...QA or the Highway - Component Testing: Bridging the gap between frontend appl...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
zjhamm304
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Neo4j
 
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
Miro Wengner
 
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
AstuteBusiness
 
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
Fwdays
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
Neo4j
 
Principle of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptxPrinciple of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptx
BibashShahi
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
Ivo Velitchkov
 
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
"$10 thousand per minute of downtime: architecture, queues, streaming and fin..."$10 thousand per minute of downtime: architecture, queues, streaming and fin...
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
Fwdays
 
Discover the Unseen: Tailored Recommendation of Unwatched Content
Discover the Unseen: Tailored Recommendation of Unwatched ContentDiscover the Unseen: Tailored Recommendation of Unwatched Content
Discover the Unseen: Tailored Recommendation of Unwatched Content
ScyllaDB
 

Recently uploaded (20)

ScyllaDB Tablets: Rethinking Replication
ScyllaDB Tablets: Rethinking ReplicationScyllaDB Tablets: Rethinking Replication
ScyllaDB Tablets: Rethinking Replication
 
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
 
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdfLee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
 
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
 
What is an RPA CoE? Session 2 – CoE Roles
What is an RPA CoE?  Session 2 – CoE RolesWhat is an RPA CoE?  Session 2 – CoE Roles
What is an RPA CoE? Session 2 – CoE Roles
 
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through StorytellingDemystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
 
Introducing BoxLang : A new JVM language for productivity and modularity!
Introducing BoxLang : A new JVM language for productivity and modularity!Introducing BoxLang : A new JVM language for productivity and modularity!
Introducing BoxLang : A new JVM language for productivity and modularity!
 
Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
 
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid ResearchHarnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
 
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...QA or the Highway - Component Testing: Bridging the gap between frontend appl...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
 
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
 
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
 
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
 
Principle of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptxPrinciple of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptx
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
 
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
"$10 thousand per minute of downtime: architecture, queues, streaming and fin..."$10 thousand per minute of downtime: architecture, queues, streaming and fin...
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
 
Discover the Unseen: Tailored Recommendation of Unwatched Content
Discover the Unseen: Tailored Recommendation of Unwatched ContentDiscover the Unseen: Tailored Recommendation of Unwatched Content
Discover the Unseen: Tailored Recommendation of Unwatched Content
 

Smart Investigator Datasheet