SlideShare a Scribd company logo
Thinking BIG
Big Data Concepts and
Patterns
.p
Dr. Lilia Sfaxi
April 2017
DATA
2
DATA
Data Mining
DataViz Data Analytics
Open Data
Data Science
Cloud Mobile IoT BI
Big Data
3
Collection
Processing
Storage
Visualization
Security - Monitoring
Business
Data Issues
4
Data Issues
Available Data Value Extraction On-Time
5
Data Issues
Infrastructure
Data Issues
Infrastructure
Scalable
Available
Flexible
Volume
Velocity
Variety7
Data Issues
3V 8
Store THEN Process
Big Data Principles
Data-driven Decisions (NOT Decision-Driven Data)
Redunduncy is GOOD
There is NO NEEDLESS Data
GO Polyglot!
9
Scalability
Scale UP vs Scale OUT
10
Classical : Scale UP
Scalability
Scale UP vs Scale OUT
11
Big Data : Scale OUT
Ring Master	- Slave
12
Scalability
Architectures
Classical Architectures Big Data Architecture
Database Application Server
13
Scalability
Co-Localization of Processing & Storage
14
Scalability
FaultTolerance
Data Replication
15
Scalability
FaultTolerance
Data Replication
Cluster Replication
16
Scalability
FaultTolerance
Data Replication
Cluster Replication
Rack Awareness
Availability
CAPTheorem
17
Consistency
Availability PartitionTolerance
Pick
Any
Two
Availability
CAPTheorem
18
Consistency
Atomicity
Isolation
Durability
Basically Available
Soft-State
Eventual Consistency
ACID BASE
Availability
Time
19
Stream Processing Support
Dynamic and Interactive Charts and Reports
In-Memory Processing
In-Memory Storage
Flexibility
ONE application can support…
20
Diverse Data Sources
Schema-less Data
Multiple Processing Paradigms
Multiple Storage Systems
Research Domains
21
In the Big Data Domain
EVERYTHING
IsYet to Be Done
Research Domains
Optimization
22
Processing Time Optimization
Storage Size and Compression
Data Access Optimization
Tradeoff bw Consistency and Availability
Research Domains
Data Science
23
Distributed Algorithms for Machine Learning
Semantic & Sentiment Analysis
Visualization Algorithms
Data Mining, Data Prediction, Data Analytics
Research Domains
Big Data Design
24
Design Methodologies for Big Data Systems
Standardization of Big Data Architectures
Design and Architectural Patterns
Modeling Language(s) for Schema-less Data
Research Domains
Big Data Security
25
Non-Relational Databases Security
Logs Gathering and Analysis
Source Data Validation and Filtering
Access Control and Cryptography
Research Domains
Big Data & OtherTrends
26
Big Data & Business Intelligence
Big Data & Cloud Computing
Big Data & Internet of Things
Big Data & Mobile
Research Domains
Big Data & Business Fields
27
Big Data in Education
Big Data in Health
Big Data in Art
Big Data in Finance
In Other Words…
28
Big Data is Here to STAY!
Thinking BIG
Big Data Concepts and
Patterns
.p
Dr. Lilia Sfaxi
April 2017

More Related Content

What's hot

Technologies pour le Big Data
Technologies pour le Big DataTechnologies pour le Big Data
Technologies pour le Big Data
Minyar Sassi Hidri
 
BigData_Chp2: Hadoop & Map-Reduce
BigData_Chp2: Hadoop & Map-ReduceBigData_Chp2: Hadoop & Map-Reduce
BigData_Chp2: Hadoop & Map-Reduce
Lilia Sfaxi
 
BigData_TP1: Initiation à Hadoop et Map-Reduce
BigData_TP1: Initiation à Hadoop et Map-ReduceBigData_TP1: Initiation à Hadoop et Map-Reduce
BigData_TP1: Initiation à Hadoop et Map-Reduce
Lilia Sfaxi
 
Intégration des données avec Talend ETL
Intégration des données avec Talend ETLIntégration des données avec Talend ETL
Intégration des données avec Talend ETL
Lilia Sfaxi
 
Conception datawarehouse
Conception datawarehouseConception datawarehouse
Conception datawarehouse
Hassane Dkhissi
 
Tp Sql Server Integration Services 2008
Tp  Sql Server Integration Services  2008Tp  Sql Server Integration Services  2008
Tp Sql Server Integration Services 2008
Abdelouahed Abdou
 
Cours Big Data Chap6
Cours Big Data Chap6Cours Big Data Chap6
Cours Big Data Chap6
Amal Abid
 
Installation hadoopv2.7.4-amal abid
Installation hadoopv2.7.4-amal abidInstallation hadoopv2.7.4-amal abid
Installation hadoopv2.7.4-amal abid
Amal Abid
 
Big Data, Hadoop & Spark
Big Data, Hadoop & SparkBig Data, Hadoop & Spark
Big Data, Hadoop & Spark
Alexia Audevart
 
Big data
Big dataBig data
Big data
Yosra ADDALI
 
Quand utiliser MongoDB … Et quand vous en passer…
Quand utiliser MongoDB	… Et quand vous en passer…Quand utiliser MongoDB	… Et quand vous en passer…
Quand utiliser MongoDB … Et quand vous en passer…
MongoDB
 
Hive ppt (1)
Hive ppt (1)Hive ppt (1)
Hive ppt (1)
marwa baich
 
BigData_TP3 : Spark
BigData_TP3 : SparkBigData_TP3 : Spark
BigData_TP3 : Spark
Lilia Sfaxi
 
Chp1 - Introduction à l'Informatique Décisionnelle
Chp1 - Introduction à l'Informatique DécisionnelleChp1 - Introduction à l'Informatique Décisionnelle
Chp1 - Introduction à l'Informatique Décisionnelle
Lilia Sfaxi
 
BigData_TP2: Design Patterns dans Hadoop
BigData_TP2: Design Patterns dans HadoopBigData_TP2: Design Patterns dans Hadoop
BigData_TP2: Design Patterns dans Hadoop
Lilia Sfaxi
 
Big data
Big dataBig data
Big data
Karima GHALI
 
BI : Analyse des Données avec Mondrian
BI : Analyse des Données avec Mondrian BI : Analyse des Données avec Mondrian
BI : Analyse des Données avec Mondrian
Lilia Sfaxi
 
BigData_TP5 : Neo4J
BigData_TP5 : Neo4JBigData_TP5 : Neo4J
BigData_TP5 : Neo4J
Lilia Sfaxi
 
Introduction aux architectures des SI
Introduction aux architectures des SI Introduction aux architectures des SI
Introduction aux architectures des SI
Heithem Abbes
 
Les BD NoSQL
Les BD NoSQLLes BD NoSQL
Les BD NoSQL
Minyar Sassi Hidri
 

What's hot (20)

Technologies pour le Big Data
Technologies pour le Big DataTechnologies pour le Big Data
Technologies pour le Big Data
 
BigData_Chp2: Hadoop & Map-Reduce
BigData_Chp2: Hadoop & Map-ReduceBigData_Chp2: Hadoop & Map-Reduce
BigData_Chp2: Hadoop & Map-Reduce
 
BigData_TP1: Initiation à Hadoop et Map-Reduce
BigData_TP1: Initiation à Hadoop et Map-ReduceBigData_TP1: Initiation à Hadoop et Map-Reduce
BigData_TP1: Initiation à Hadoop et Map-Reduce
 
Intégration des données avec Talend ETL
Intégration des données avec Talend ETLIntégration des données avec Talend ETL
Intégration des données avec Talend ETL
 
Conception datawarehouse
Conception datawarehouseConception datawarehouse
Conception datawarehouse
 
Tp Sql Server Integration Services 2008
Tp  Sql Server Integration Services  2008Tp  Sql Server Integration Services  2008
Tp Sql Server Integration Services 2008
 
Cours Big Data Chap6
Cours Big Data Chap6Cours Big Data Chap6
Cours Big Data Chap6
 
Installation hadoopv2.7.4-amal abid
Installation hadoopv2.7.4-amal abidInstallation hadoopv2.7.4-amal abid
Installation hadoopv2.7.4-amal abid
 
Big Data, Hadoop & Spark
Big Data, Hadoop & SparkBig Data, Hadoop & Spark
Big Data, Hadoop & Spark
 
Big data
Big dataBig data
Big data
 
Quand utiliser MongoDB … Et quand vous en passer…
Quand utiliser MongoDB	… Et quand vous en passer…Quand utiliser MongoDB	… Et quand vous en passer…
Quand utiliser MongoDB … Et quand vous en passer…
 
Hive ppt (1)
Hive ppt (1)Hive ppt (1)
Hive ppt (1)
 
BigData_TP3 : Spark
BigData_TP3 : SparkBigData_TP3 : Spark
BigData_TP3 : Spark
 
Chp1 - Introduction à l'Informatique Décisionnelle
Chp1 - Introduction à l'Informatique DécisionnelleChp1 - Introduction à l'Informatique Décisionnelle
Chp1 - Introduction à l'Informatique Décisionnelle
 
BigData_TP2: Design Patterns dans Hadoop
BigData_TP2: Design Patterns dans HadoopBigData_TP2: Design Patterns dans Hadoop
BigData_TP2: Design Patterns dans Hadoop
 
Big data
Big dataBig data
Big data
 
BI : Analyse des Données avec Mondrian
BI : Analyse des Données avec Mondrian BI : Analyse des Données avec Mondrian
BI : Analyse des Données avec Mondrian
 
BigData_TP5 : Neo4J
BigData_TP5 : Neo4JBigData_TP5 : Neo4J
BigData_TP5 : Neo4J
 
Introduction aux architectures des SI
Introduction aux architectures des SI Introduction aux architectures des SI
Introduction aux architectures des SI
 
Les BD NoSQL
Les BD NoSQLLes BD NoSQL
Les BD NoSQL
 

Similar to Thinking BIG

Data Virtualization: From Zero to Hero (Middle East)
Data Virtualization: From Zero to Hero (Middle East)Data Virtualization: From Zero to Hero (Middle East)
Data Virtualization: From Zero to Hero (Middle East)
Denodo
 
Hadoop Big Data Lakes Keynote
Hadoop Big Data Lakes KeynoteHadoop Big Data Lakes Keynote
Hadoop Big Data Lakes Keynote
Mark van Rijmenam
 
Exploring the Wider World of Big Data- Vasalis Kapsalis
Exploring the Wider World of Big Data- Vasalis KapsalisExploring the Wider World of Big Data- Vasalis Kapsalis
Exploring the Wider World of Big Data- Vasalis Kapsalis
NetAppUK
 
5 Tips to Building a Successful Big Data Strategy
5 Tips to Building a Successful Big Data Strategy5 Tips to Building a Successful Big Data Strategy
5 Tips to Building a Successful Big Data Strategy
Western Digital
 
Kave Salamatian, Universite de Savoie and Eiko Yoneki, University of Cambridg...
Kave Salamatian, Universite de Savoie and Eiko Yoneki, University of Cambridg...Kave Salamatian, Universite de Savoie and Eiko Yoneki, University of Cambridg...
Kave Salamatian, Universite de Savoie and Eiko Yoneki, University of Cambridg...
i_scienceEU
 
Accelerating Big Data Insights
Accelerating Big Data InsightsAccelerating Big Data Insights
Accelerating Big Data Insights
DataWorks Summit
 
Exploring the Wider World of Big Data
Exploring the Wider World of Big DataExploring the Wider World of Big Data
Exploring the Wider World of Big Data
NetApp
 
Big data analytics - Introduction to Big Data and Hadoop
Big data analytics - Introduction to Big Data and HadoopBig data analytics - Introduction to Big Data and Hadoop
Big data analytics - Introduction to Big Data and Hadoop
SamiraChandan
 
Keynote Address at 2013 CloudCon: Future of Big Data by Richard McDougall (In...
Keynote Address at 2013 CloudCon: Future of Big Data by Richard McDougall (In...Keynote Address at 2013 CloudCon: Future of Big Data by Richard McDougall (In...
Keynote Address at 2013 CloudCon: Future of Big Data by Richard McDougall (In...
exponential-inc
 
Big Data Basic Concepts | Presented in 2014
Big Data Basic Concepts  | Presented in 2014Big Data Basic Concepts  | Presented in 2014
Big Data Basic Concepts | Presented in 2014
Kenneth Igiri
 
Data Virtualization: An Introduction
Data Virtualization: An IntroductionData Virtualization: An Introduction
Data Virtualization: An Introduction
Denodo
 
AWSome Data Visibility with Information Map
AWSome Data Visibility with Information MapAWSome Data Visibility with Information Map
AWSome Data Visibility with Information Map
Veritas Technologies LLC
 
Logical Data Fabric: Architectural Components
Logical Data Fabric: Architectural ComponentsLogical Data Fabric: Architectural Components
Logical Data Fabric: Architectural Components
Denodo
 
Architecting a Modern Data Warehouse: Enterprise Must-Haves
Architecting a Modern Data Warehouse: Enterprise Must-HavesArchitecting a Modern Data Warehouse: Enterprise Must-Haves
Architecting a Modern Data Warehouse: Enterprise Must-Haves
Yellowbrick Data
 
Big Data and Oracle - 2013
Big Data and Oracle - 2013Big Data and Oracle - 2013
Big Data and Oracle - 2013
Connor McDonald
 
Alluxio - Virtual Unified File System
Alluxio - Virtual Unified File System Alluxio - Virtual Unified File System
Alluxio - Virtual Unified File System
Alluxio, Inc.
 
Prague data management meetup #30 2019-10-04
Prague data management meetup #30 2019-10-04Prague data management meetup #30 2019-10-04
Prague data management meetup #30 2019-10-04
Martin Bém
 
Big Data: an introduction
Big Data: an introductionBig Data: an introduction
Big Data: an introduction
Bart Vandewoestyne
 
Accelerating Insight - Smart Data Lake Customer Success Stories
Accelerating Insight - Smart Data Lake Customer Success StoriesAccelerating Insight - Smart Data Lake Customer Success Stories
Accelerating Insight - Smart Data Lake Customer Success Stories
Cambridge Semantics
 
Overview of bigdata
Overview of bigdataOverview of bigdata
Overview of bigdata
Abinaya B
 

Similar to Thinking BIG (20)

Data Virtualization: From Zero to Hero (Middle East)
Data Virtualization: From Zero to Hero (Middle East)Data Virtualization: From Zero to Hero (Middle East)
Data Virtualization: From Zero to Hero (Middle East)
 
Hadoop Big Data Lakes Keynote
Hadoop Big Data Lakes KeynoteHadoop Big Data Lakes Keynote
Hadoop Big Data Lakes Keynote
 
Exploring the Wider World of Big Data- Vasalis Kapsalis
Exploring the Wider World of Big Data- Vasalis KapsalisExploring the Wider World of Big Data- Vasalis Kapsalis
Exploring the Wider World of Big Data- Vasalis Kapsalis
 
5 Tips to Building a Successful Big Data Strategy
5 Tips to Building a Successful Big Data Strategy5 Tips to Building a Successful Big Data Strategy
5 Tips to Building a Successful Big Data Strategy
 
Kave Salamatian, Universite de Savoie and Eiko Yoneki, University of Cambridg...
Kave Salamatian, Universite de Savoie and Eiko Yoneki, University of Cambridg...Kave Salamatian, Universite de Savoie and Eiko Yoneki, University of Cambridg...
Kave Salamatian, Universite de Savoie and Eiko Yoneki, University of Cambridg...
 
Accelerating Big Data Insights
Accelerating Big Data InsightsAccelerating Big Data Insights
Accelerating Big Data Insights
 
Exploring the Wider World of Big Data
Exploring the Wider World of Big DataExploring the Wider World of Big Data
Exploring the Wider World of Big Data
 
Big data analytics - Introduction to Big Data and Hadoop
Big data analytics - Introduction to Big Data and HadoopBig data analytics - Introduction to Big Data and Hadoop
Big data analytics - Introduction to Big Data and Hadoop
 
Keynote Address at 2013 CloudCon: Future of Big Data by Richard McDougall (In...
Keynote Address at 2013 CloudCon: Future of Big Data by Richard McDougall (In...Keynote Address at 2013 CloudCon: Future of Big Data by Richard McDougall (In...
Keynote Address at 2013 CloudCon: Future of Big Data by Richard McDougall (In...
 
Big Data Basic Concepts | Presented in 2014
Big Data Basic Concepts  | Presented in 2014Big Data Basic Concepts  | Presented in 2014
Big Data Basic Concepts | Presented in 2014
 
Data Virtualization: An Introduction
Data Virtualization: An IntroductionData Virtualization: An Introduction
Data Virtualization: An Introduction
 
AWSome Data Visibility with Information Map
AWSome Data Visibility with Information MapAWSome Data Visibility with Information Map
AWSome Data Visibility with Information Map
 
Logical Data Fabric: Architectural Components
Logical Data Fabric: Architectural ComponentsLogical Data Fabric: Architectural Components
Logical Data Fabric: Architectural Components
 
Architecting a Modern Data Warehouse: Enterprise Must-Haves
Architecting a Modern Data Warehouse: Enterprise Must-HavesArchitecting a Modern Data Warehouse: Enterprise Must-Haves
Architecting a Modern Data Warehouse: Enterprise Must-Haves
 
Big Data and Oracle - 2013
Big Data and Oracle - 2013Big Data and Oracle - 2013
Big Data and Oracle - 2013
 
Alluxio - Virtual Unified File System
Alluxio - Virtual Unified File System Alluxio - Virtual Unified File System
Alluxio - Virtual Unified File System
 
Prague data management meetup #30 2019-10-04
Prague data management meetup #30 2019-10-04Prague data management meetup #30 2019-10-04
Prague data management meetup #30 2019-10-04
 
Big Data: an introduction
Big Data: an introductionBig Data: an introduction
Big Data: an introduction
 
Accelerating Insight - Smart Data Lake Customer Success Stories
Accelerating Insight - Smart Data Lake Customer Success StoriesAccelerating Insight - Smart Data Lake Customer Success Stories
Accelerating Insight - Smart Data Lake Customer Success Stories
 
Overview of bigdata
Overview of bigdataOverview of bigdata
Overview of bigdata
 

More from Lilia Sfaxi

chp1-Intro à l'urbanisation des SI.pdf
chp1-Intro à l'urbanisation des SI.pdfchp1-Intro à l'urbanisation des SI.pdf
chp1-Intro à l'urbanisation des SI.pdf
Lilia Sfaxi
 
Plan d'études_INSAT_2022_2023.pdf
Plan d'études_INSAT_2022_2023.pdfPlan d'études_INSAT_2022_2023.pdf
Plan d'études_INSAT_2022_2023.pdf
Lilia Sfaxi
 
Lab3-DB_Neo4j
Lab3-DB_Neo4jLab3-DB_Neo4j
Lab3-DB_Neo4j
Lilia Sfaxi
 
Lab2-DB-Mongodb
Lab2-DB-MongodbLab2-DB-Mongodb
Lab2-DB-Mongodb
Lilia Sfaxi
 
Lab1-DB-Cassandra
Lab1-DB-CassandraLab1-DB-Cassandra
Lab1-DB-Cassandra
Lilia Sfaxi
 
TP2-UML-Correction
TP2-UML-CorrectionTP2-UML-Correction
TP2-UML-Correction
Lilia Sfaxi
 
TP1-UML-Correction
TP1-UML-CorrectionTP1-UML-Correction
TP1-UML-Correction
Lilia Sfaxi
 
TP0-UML-Correction
TP0-UML-CorrectionTP0-UML-Correction
TP0-UML-Correction
Lilia Sfaxi
 
TD4-UML
TD4-UMLTD4-UML
TD4-UML
Lilia Sfaxi
 
TD4-UML-Correction
TD4-UML-CorrectionTD4-UML-Correction
TD4-UML-Correction
Lilia Sfaxi
 
TD3-UML-Séquences
TD3-UML-SéquencesTD3-UML-Séquences
TD3-UML-Séquences
Lilia Sfaxi
 
TD3-UML-Correction
TD3-UML-CorrectionTD3-UML-Correction
TD3-UML-Correction
Lilia Sfaxi
 
TD2 - UML - Correction
TD2 - UML - CorrectionTD2 - UML - Correction
TD2 - UML - Correction
Lilia Sfaxi
 
TD1 - UML - DCU
TD1 - UML - DCUTD1 - UML - DCU
TD1 - UML - DCU
Lilia Sfaxi
 
TD1-UML-correction
TD1-UML-correctionTD1-UML-correction
TD1-UML-correction
Lilia Sfaxi
 
Android - Tp1 - installation et démarrage
Android - Tp1 -   installation et démarrageAndroid - Tp1 -   installation et démarrage
Android - Tp1 - installation et démarrage
Lilia Sfaxi
 
Android - Tp2 - Elements graphiques
Android - Tp2 - Elements graphiques Android - Tp2 - Elements graphiques
Android - Tp2 - Elements graphiques
Lilia Sfaxi
 
Android - Tp3 - intents
Android - Tp3 -  intentsAndroid - Tp3 -  intents
Android - Tp3 - intents
Lilia Sfaxi
 
Android - TPBonus - web services
Android - TPBonus - web servicesAndroid - TPBonus - web services
Android - TPBonus - web services
Lilia Sfaxi
 
Android - Tp4 - graphiques avancés
Android - Tp4 - graphiques avancésAndroid - Tp4 - graphiques avancés
Android - Tp4 - graphiques avancés
Lilia Sfaxi
 

More from Lilia Sfaxi (20)

chp1-Intro à l'urbanisation des SI.pdf
chp1-Intro à l'urbanisation des SI.pdfchp1-Intro à l'urbanisation des SI.pdf
chp1-Intro à l'urbanisation des SI.pdf
 
Plan d'études_INSAT_2022_2023.pdf
Plan d'études_INSAT_2022_2023.pdfPlan d'études_INSAT_2022_2023.pdf
Plan d'études_INSAT_2022_2023.pdf
 
Lab3-DB_Neo4j
Lab3-DB_Neo4jLab3-DB_Neo4j
Lab3-DB_Neo4j
 
Lab2-DB-Mongodb
Lab2-DB-MongodbLab2-DB-Mongodb
Lab2-DB-Mongodb
 
Lab1-DB-Cassandra
Lab1-DB-CassandraLab1-DB-Cassandra
Lab1-DB-Cassandra
 
TP2-UML-Correction
TP2-UML-CorrectionTP2-UML-Correction
TP2-UML-Correction
 
TP1-UML-Correction
TP1-UML-CorrectionTP1-UML-Correction
TP1-UML-Correction
 
TP0-UML-Correction
TP0-UML-CorrectionTP0-UML-Correction
TP0-UML-Correction
 
TD4-UML
TD4-UMLTD4-UML
TD4-UML
 
TD4-UML-Correction
TD4-UML-CorrectionTD4-UML-Correction
TD4-UML-Correction
 
TD3-UML-Séquences
TD3-UML-SéquencesTD3-UML-Séquences
TD3-UML-Séquences
 
TD3-UML-Correction
TD3-UML-CorrectionTD3-UML-Correction
TD3-UML-Correction
 
TD2 - UML - Correction
TD2 - UML - CorrectionTD2 - UML - Correction
TD2 - UML - Correction
 
TD1 - UML - DCU
TD1 - UML - DCUTD1 - UML - DCU
TD1 - UML - DCU
 
TD1-UML-correction
TD1-UML-correctionTD1-UML-correction
TD1-UML-correction
 
Android - Tp1 - installation et démarrage
Android - Tp1 -   installation et démarrageAndroid - Tp1 -   installation et démarrage
Android - Tp1 - installation et démarrage
 
Android - Tp2 - Elements graphiques
Android - Tp2 - Elements graphiques Android - Tp2 - Elements graphiques
Android - Tp2 - Elements graphiques
 
Android - Tp3 - intents
Android - Tp3 -  intentsAndroid - Tp3 -  intents
Android - Tp3 - intents
 
Android - TPBonus - web services
Android - TPBonus - web servicesAndroid - TPBonus - web services
Android - TPBonus - web services
 
Android - Tp4 - graphiques avancés
Android - Tp4 - graphiques avancésAndroid - Tp4 - graphiques avancés
Android - Tp4 - graphiques avancés
 

Recently uploaded

Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Edge AI and Vision Alliance
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
Rohit Gautam
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
sonjaschweigert1
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Matthew Sinclair
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Zilliz
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
James Anderson
 

Recently uploaded (20)

Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
 

Thinking BIG