SlideShare ist ein Scribd-Unternehmen logo
1 von 13
Downloaden Sie, um offline zu lesen
© Hortonworks Inc. 2013
Icons For Hadoop
Page 1
© Hortonworks Inc. 2013
Hortonworks Icons for Hadoop v1.0
This is an unofficial set of icons for Hadoop projects, related
components and resources that anyone can use to create architecture
diagrams or other images.
The icons are designed to be simple and flexible to assist
comprehension in technical diagrams.
Download Visio & Omnigraffle stencils, EPS and HiRes PNGs
here: http://bit.ly/17mQJ9k
•  Slides 3-8: Icons, Containers, Fonts and Style Guides
•  Slides 9-13: Example Diagrams
Page 2
© Hortonworks Inc. 2013
Icons – Generic Data Center
Page 3
Network Switch
Network Router
IP Load Balancer
Disk, Storage
Server, Data Center, Rack, Existing System
Ethernet Connections
Cloud
© Hortonworks Inc. 2013
Icons – Hadoop
Page 4
Flume, Sqoop, Falcon,
Ingestion, ETL
Knox
Security
Hortonworks, HDP
Hive, Pig, Tez
Processing Engine
Name Node
Node Instances
YARN
Resource Manager
Data Node, HBase,
Data Operation/Management
ZooKeeper, HBase, Hive Metastore,
Registry, Database, Task Tracker,
Job Tracker, Management
or
Ambari
Management, Monitoring
Oozie
Scheduling
HDFS
Storage
Nodes, cluster
© Hortonworks Inc. 2013
General Styles
Page 5
Icon
Diagram
AMBARI
1.2.3
1.2.3
AMBARI
1.1.1
AMBARI AMBARI
1.2.3
© Hortonworks Inc. 2013
Icons - Containers
Page 6
100% 40% 10% 100% 40% 10%
© Hortonworks Inc. 2013
Icons - Containers
Page 7
100% 40% 10% 100% 40% 10%
© Hortonworks Inc. 2013
Typography
Page 8
PPT FONT:
Arial 14pt (Secondary color and size)
abcdefghijklmnopqrstuvwxyz
ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890
Arial 36pt Black (use for slide headings)
Arial 20pt Black (Primary color and size)
abcdefghijklmnopqrstuvwxyz
ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890
Arial 9pt (Use for descriptions in diagrams, use only if 14pt is too large)
abcdefghijklmnopqrstuvwxyz
ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890
Arial 10pt-14pt White (use for text in adorners) Center justified
abcdefghijklmnopqrstuvwxyz
Arial 10pt-14pt White (use for text in adorners) Center justified
abcdefghijklmnopqrstuvwxyz
© Hortonworks Inc. 2013
Usage Examples
9
© Hortonworks Inc. 2013
Example Diagram – Hadoop 2.0
Page 10
HDFS2
(redundant, reliable storage)
YARN
(cluster resource management)
Others
(data processing)
HADOOP 2.0
MapReduce
(data processing)
Original Source: http://hortonworks.com/hadoop/yarn
© Hortonworks Inc. 2013
Example Diagram – Canonical Hadoop
Page 11
Flume HDFS HiveData Source
Original Source: http://www.infoq.com/articles/BigDataBlueprint
© Hortonworks Inc. 2013
1.3.1
Flume
Example Diagram - Application
Page 12
Twitter
Sink to
HDFS
JSON SerDe
Parses Data
Custom
Flume
Source
Add
Partitions
Hourly
3.3.2
Oozie
0.11.0
Hive
0.94.6.1
HDFS
Original Source: http://blog.cloudera.com/blog/2012/09/analyzing-twitter-data-with-hadoop/
© Hortonworks Inc. 2013
Example Diagram – Network
Page 13
Switch 1
Rack 1 Rack 2
DISC 1 DISC 2 DISC 3 DISC 4 DISC 5 DISC 6

Weitere ähnliche Inhalte

Was ist angesagt?

組み込みから HPC まで ARM コアで実現するエコシステム
組み込みから HPC まで ARM コアで実現するエコシステム組み込みから HPC まで ARM コアで実現するエコシステム
組み込みから HPC まで ARM コアで実現するエコシステムShinnosuke Furuya
 
APIdays London 2019 - Selecting the best API Governance for your organisation...
APIdays London 2019 - Selecting the best API Governance for your organisation...APIdays London 2019 - Selecting the best API Governance for your organisation...
APIdays London 2019 - Selecting the best API Governance for your organisation...apidays
 
Nordstrom's Event-Sourced Architecture and Kafka-as-a-Service | Adam Weyant a...
Nordstrom's Event-Sourced Architecture and Kafka-as-a-Service | Adam Weyant a...Nordstrom's Event-Sourced Architecture and Kafka-as-a-Service | Adam Weyant a...
Nordstrom's Event-Sourced Architecture and Kafka-as-a-Service | Adam Weyant a...HostedbyConfluent
 
Apache spark-the-definitive-guide-excerpts-r1
Apache spark-the-definitive-guide-excerpts-r1Apache spark-the-definitive-guide-excerpts-r1
Apache spark-the-definitive-guide-excerpts-r1AjayRawat971036
 
LWC Datatable LDV, Christian Knapp & Christian Menzinger
LWC Datatable LDV, Christian Knapp  & Christian MenzingerLWC Datatable LDV, Christian Knapp  & Christian Menzinger
LWC Datatable LDV, Christian Knapp & Christian MenzingerCzechDreamin
 
WS-* vs. RESTful Services
WS-* vs. RESTful ServicesWS-* vs. RESTful Services
WS-* vs. RESTful ServicesCesare Pautasso
 
Workshop on Google Cloud Data Platform
Workshop on Google Cloud Data PlatformWorkshop on Google Cloud Data Platform
Workshop on Google Cloud Data PlatformGoDataDriven
 
CCSK Certificate of Cloud Computing Knowledge - overview
CCSK Certificate of Cloud Computing Knowledge - overviewCCSK Certificate of Cloud Computing Knowledge - overview
CCSK Certificate of Cloud Computing Knowledge - overviewPeter HJ van Eijk
 
Observability For You and Me with OpenTelemetry
Observability For You and Me with OpenTelemetryObservability For You and Me with OpenTelemetry
Observability For You and Me with OpenTelemetryEric D. Schabell
 
Janus/SIP @ OpenSIPS 2019
Janus/SIP @ OpenSIPS 2019Janus/SIP @ OpenSIPS 2019
Janus/SIP @ OpenSIPS 2019Lorenzo Miniero
 
Intro to Neo4j and Graph Databases
Intro to Neo4j and Graph DatabasesIntro to Neo4j and Graph Databases
Intro to Neo4j and Graph DatabasesNeo4j
 
apidays Paris 2022 - Generating APIs from business models, Frederic Fontanet,...
apidays Paris 2022 - Generating APIs from business models, Frederic Fontanet,...apidays Paris 2022 - Generating APIs from business models, Frederic Fontanet,...
apidays Paris 2022 - Generating APIs from business models, Frederic Fontanet,...apidays
 
Introduction to Distributed Tracing
Introduction to Distributed TracingIntroduction to Distributed Tracing
Introduction to Distributed Tracingpetabridge
 
Clean architectures with fast api pycones
Clean architectures with fast api   pyconesClean architectures with fast api   pycones
Clean architectures with fast api pyconesAlvaro Del Castillo
 
Hands-on Lab: How to Unleash Your Storage Performance by Using NVM Express™ B...
Hands-on Lab: How to Unleash Your Storage Performance by Using NVM Express™ B...Hands-on Lab: How to Unleash Your Storage Performance by Using NVM Express™ B...
Hands-on Lab: How to Unleash Your Storage Performance by Using NVM Express™ B...Odinot Stanislas
 
AI Infra Day | The Generative AI Market And Intel AI Strategy and Product Up...
AI Infra Day | The Generative AI Market  And Intel AI Strategy and Product Up...AI Infra Day | The Generative AI Market  And Intel AI Strategy and Product Up...
AI Infra Day | The Generative AI Market And Intel AI Strategy and Product Up...Alluxio, Inc.
 
Integrating Black Duck into your Agile DevOps Environment
Integrating Black Duck into your Agile DevOps EnvironmentIntegrating Black Duck into your Agile DevOps Environment
Integrating Black Duck into your Agile DevOps EnvironmentBlack Duck by Synopsys
 
Neo4J : Introduction to Graph Database
Neo4J : Introduction to Graph DatabaseNeo4J : Introduction to Graph Database
Neo4J : Introduction to Graph DatabaseMindfire Solutions
 
Neo4j Data Loading with Kettle
Neo4j Data Loading with KettleNeo4j Data Loading with Kettle
Neo4j Data Loading with KettleNeo4j
 

Was ist angesagt? (20)

組み込みから HPC まで ARM コアで実現するエコシステム
組み込みから HPC まで ARM コアで実現するエコシステム組み込みから HPC まで ARM コアで実現するエコシステム
組み込みから HPC まで ARM コアで実現するエコシステム
 
APIdays London 2019 - Selecting the best API Governance for your organisation...
APIdays London 2019 - Selecting the best API Governance for your organisation...APIdays London 2019 - Selecting the best API Governance for your organisation...
APIdays London 2019 - Selecting the best API Governance for your organisation...
 
Nordstrom's Event-Sourced Architecture and Kafka-as-a-Service | Adam Weyant a...
Nordstrom's Event-Sourced Architecture and Kafka-as-a-Service | Adam Weyant a...Nordstrom's Event-Sourced Architecture and Kafka-as-a-Service | Adam Weyant a...
Nordstrom's Event-Sourced Architecture and Kafka-as-a-Service | Adam Weyant a...
 
Apache spark-the-definitive-guide-excerpts-r1
Apache spark-the-definitive-guide-excerpts-r1Apache spark-the-definitive-guide-excerpts-r1
Apache spark-the-definitive-guide-excerpts-r1
 
Kong API
Kong APIKong API
Kong API
 
LWC Datatable LDV, Christian Knapp & Christian Menzinger
LWC Datatable LDV, Christian Knapp  & Christian MenzingerLWC Datatable LDV, Christian Knapp  & Christian Menzinger
LWC Datatable LDV, Christian Knapp & Christian Menzinger
 
WS-* vs. RESTful Services
WS-* vs. RESTful ServicesWS-* vs. RESTful Services
WS-* vs. RESTful Services
 
Workshop on Google Cloud Data Platform
Workshop on Google Cloud Data PlatformWorkshop on Google Cloud Data Platform
Workshop on Google Cloud Data Platform
 
CCSK Certificate of Cloud Computing Knowledge - overview
CCSK Certificate of Cloud Computing Knowledge - overviewCCSK Certificate of Cloud Computing Knowledge - overview
CCSK Certificate of Cloud Computing Knowledge - overview
 
Observability For You and Me with OpenTelemetry
Observability For You and Me with OpenTelemetryObservability For You and Me with OpenTelemetry
Observability For You and Me with OpenTelemetry
 
Janus/SIP @ OpenSIPS 2019
Janus/SIP @ OpenSIPS 2019Janus/SIP @ OpenSIPS 2019
Janus/SIP @ OpenSIPS 2019
 
Intro to Neo4j and Graph Databases
Intro to Neo4j and Graph DatabasesIntro to Neo4j and Graph Databases
Intro to Neo4j and Graph Databases
 
apidays Paris 2022 - Generating APIs from business models, Frederic Fontanet,...
apidays Paris 2022 - Generating APIs from business models, Frederic Fontanet,...apidays Paris 2022 - Generating APIs from business models, Frederic Fontanet,...
apidays Paris 2022 - Generating APIs from business models, Frederic Fontanet,...
 
Introduction to Distributed Tracing
Introduction to Distributed TracingIntroduction to Distributed Tracing
Introduction to Distributed Tracing
 
Clean architectures with fast api pycones
Clean architectures with fast api   pyconesClean architectures with fast api   pycones
Clean architectures with fast api pycones
 
Hands-on Lab: How to Unleash Your Storage Performance by Using NVM Express™ B...
Hands-on Lab: How to Unleash Your Storage Performance by Using NVM Express™ B...Hands-on Lab: How to Unleash Your Storage Performance by Using NVM Express™ B...
Hands-on Lab: How to Unleash Your Storage Performance by Using NVM Express™ B...
 
AI Infra Day | The Generative AI Market And Intel AI Strategy and Product Up...
AI Infra Day | The Generative AI Market  And Intel AI Strategy and Product Up...AI Infra Day | The Generative AI Market  And Intel AI Strategy and Product Up...
AI Infra Day | The Generative AI Market And Intel AI Strategy and Product Up...
 
Integrating Black Duck into your Agile DevOps Environment
Integrating Black Duck into your Agile DevOps EnvironmentIntegrating Black Duck into your Agile DevOps Environment
Integrating Black Duck into your Agile DevOps Environment
 
Neo4J : Introduction to Graph Database
Neo4J : Introduction to Graph DatabaseNeo4J : Introduction to Graph Database
Neo4J : Introduction to Graph Database
 
Neo4j Data Loading with Kettle
Neo4j Data Loading with KettleNeo4j Data Loading with Kettle
Neo4j Data Loading with Kettle
 

Ähnlich wie Icons and Stencils for Hadoop

YARN webinar series: Using Scalding to write applications to Hadoop and YARN
YARN webinar series: Using Scalding to write applications to Hadoop and YARNYARN webinar series: Using Scalding to write applications to Hadoop and YARN
YARN webinar series: Using Scalding to write applications to Hadoop and YARNHortonworks
 
Gentle Introduction into Geospatial (using SQL in SAP HANA)
Gentle Introduction into Geospatial (using SQL in SAP HANA)Gentle Introduction into Geospatial (using SQL in SAP HANA)
Gentle Introduction into Geospatial (using SQL in SAP HANA)Vitaliy Rudnytskiy
 
Storm Demo Talk - Colorado Springs May 2015
Storm Demo Talk - Colorado Springs May 2015Storm Demo Talk - Colorado Springs May 2015
Storm Demo Talk - Colorado Springs May 2015Mac Moore
 
Storm Demo Talk - Denver Apr 2015
Storm Demo Talk - Denver Apr 2015Storm Demo Talk - Denver Apr 2015
Storm Demo Talk - Denver Apr 2015Mac Moore
 
Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...
Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...
Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...PyData
 
Why Talend for Big Data?
Why Talend for Big Data?Why Talend for Big Data?
Why Talend for Big Data?Edureka!
 
Sql saturday pig session (wes floyd) v2
Sql saturday   pig session (wes floyd) v2Sql saturday   pig session (wes floyd) v2
Sql saturday pig session (wes floyd) v2Wes Floyd
 
Process and Visualize Your Data with Revolution R, Hadoop and GoogleVis
Process and Visualize Your Data with Revolution R, Hadoop and GoogleVisProcess and Visualize Your Data with Revolution R, Hadoop and GoogleVis
Process and Visualize Your Data with Revolution R, Hadoop and GoogleVisHortonworks
 
Hdp r-google charttools-webinar-3-5-2013 (2)
Hdp r-google charttools-webinar-3-5-2013 (2)Hdp r-google charttools-webinar-3-5-2013 (2)
Hdp r-google charttools-webinar-3-5-2013 (2)Hortonworks
 
Pivotal HD and Spring for Apache Hadoop
Pivotal HD and Spring for Apache HadoopPivotal HD and Spring for Apache Hadoop
Pivotal HD and Spring for Apache Hadoopmarklpollack
 
Tez: Accelerating Data Pipelines - fifthel
Tez: Accelerating Data Pipelines - fifthelTez: Accelerating Data Pipelines - fifthel
Tez: Accelerating Data Pipelines - fifthelt3rmin4t0r
 
Interactive SQL-on-Hadoop and JethroData
Interactive SQL-on-Hadoop and JethroDataInteractive SQL-on-Hadoop and JethroData
Interactive SQL-on-Hadoop and JethroDataOfir Manor
 
Hadoop past, present and future
Hadoop past, present and futureHadoop past, present and future
Hadoop past, present and futureCodemotion
 
Use of Open Source Software Enhancing Curriculum | Developing Opportunities
Use of Open Source Software Enhancing Curriculum | Developing OpportunitiesUse of Open Source Software Enhancing Curriculum | Developing Opportunities
Use of Open Source Software Enhancing Curriculum | Developing OpportunitiesMaurice Dawson
 
データベースMeetup vol2
データベースMeetup vol2データベースMeetup vol2
データベースMeetup vol2Koji Shinkubo
 
A intro to (hosted) Shiny Apps
A intro to (hosted) Shiny AppsA intro to (hosted) Shiny Apps
A intro to (hosted) Shiny AppsDaniel Koller
 
Real-Time Processing in Hadoop for IoT Use Cases - Phoenix HUG
Real-Time Processing in Hadoop for IoT Use Cases - Phoenix HUGReal-Time Processing in Hadoop for IoT Use Cases - Phoenix HUG
Real-Time Processing in Hadoop for IoT Use Cases - Phoenix HUGskumpf
 
Introduction to R and R Studio
Introduction to R and R StudioIntroduction to R and R Studio
Introduction to R and R StudioRupak Roy
 

Ähnlich wie Icons and Stencils for Hadoop (20)

YARN webinar series: Using Scalding to write applications to Hadoop and YARN
YARN webinar series: Using Scalding to write applications to Hadoop and YARNYARN webinar series: Using Scalding to write applications to Hadoop and YARN
YARN webinar series: Using Scalding to write applications to Hadoop and YARN
 
Apache Spark Crash Course
Apache Spark Crash CourseApache Spark Crash Course
Apache Spark Crash Course
 
Gentle Introduction into Geospatial (using SQL in SAP HANA)
Gentle Introduction into Geospatial (using SQL in SAP HANA)Gentle Introduction into Geospatial (using SQL in SAP HANA)
Gentle Introduction into Geospatial (using SQL in SAP HANA)
 
Storm Demo Talk - Colorado Springs May 2015
Storm Demo Talk - Colorado Springs May 2015Storm Demo Talk - Colorado Springs May 2015
Storm Demo Talk - Colorado Springs May 2015
 
Storm Demo Talk - Denver Apr 2015
Storm Demo Talk - Denver Apr 2015Storm Demo Talk - Denver Apr 2015
Storm Demo Talk - Denver Apr 2015
 
Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...
Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...
Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...
 
Why Talend for Big Data?
Why Talend for Big Data?Why Talend for Big Data?
Why Talend for Big Data?
 
Sql saturday pig session (wes floyd) v2
Sql saturday   pig session (wes floyd) v2Sql saturday   pig session (wes floyd) v2
Sql saturday pig session (wes floyd) v2
 
Process and Visualize Your Data with Revolution R, Hadoop and GoogleVis
Process and Visualize Your Data with Revolution R, Hadoop and GoogleVisProcess and Visualize Your Data with Revolution R, Hadoop and GoogleVis
Process and Visualize Your Data with Revolution R, Hadoop and GoogleVis
 
Hdp r-google charttools-webinar-3-5-2013 (2)
Hdp r-google charttools-webinar-3-5-2013 (2)Hdp r-google charttools-webinar-3-5-2013 (2)
Hdp r-google charttools-webinar-3-5-2013 (2)
 
Pivotal HD and Spring for Apache Hadoop
Pivotal HD and Spring for Apache HadoopPivotal HD and Spring for Apache Hadoop
Pivotal HD and Spring for Apache Hadoop
 
Tez: Accelerating Data Pipelines - fifthel
Tez: Accelerating Data Pipelines - fifthelTez: Accelerating Data Pipelines - fifthel
Tez: Accelerating Data Pipelines - fifthel
 
Interactive SQL-on-Hadoop and JethroData
Interactive SQL-on-Hadoop and JethroDataInteractive SQL-on-Hadoop and JethroData
Interactive SQL-on-Hadoop and JethroData
 
Hadoop past, present and future
Hadoop past, present and futureHadoop past, present and future
Hadoop past, present and future
 
Use of Open Source Software Enhancing Curriculum | Developing Opportunities
Use of Open Source Software Enhancing Curriculum | Developing OpportunitiesUse of Open Source Software Enhancing Curriculum | Developing Opportunities
Use of Open Source Software Enhancing Curriculum | Developing Opportunities
 
データベースMeetup vol2
データベースMeetup vol2データベースMeetup vol2
データベースMeetup vol2
 
A intro to (hosted) Shiny Apps
A intro to (hosted) Shiny AppsA intro to (hosted) Shiny Apps
A intro to (hosted) Shiny Apps
 
Hackathon bonn
Hackathon bonnHackathon bonn
Hackathon bonn
 
Real-Time Processing in Hadoop for IoT Use Cases - Phoenix HUG
Real-Time Processing in Hadoop for IoT Use Cases - Phoenix HUGReal-Time Processing in Hadoop for IoT Use Cases - Phoenix HUG
Real-Time Processing in Hadoop for IoT Use Cases - Phoenix HUG
 
Introduction to R and R Studio
Introduction to R and R StudioIntroduction to R and R Studio
Introduction to R and R Studio
 

Mehr von Hortonworks

Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next Level
Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next LevelHortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next Level
Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next LevelHortonworks
 
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT StrategyIoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT StrategyHortonworks
 
Getting the Most Out of Your Data in the Cloud with Cloudbreak
Getting the Most Out of Your Data in the Cloud with CloudbreakGetting the Most Out of Your Data in the Cloud with Cloudbreak
Getting the Most Out of Your Data in the Cloud with CloudbreakHortonworks
 
Johns Hopkins - Using Hadoop to Secure Access Log Events
Johns Hopkins - Using Hadoop to Secure Access Log EventsJohns Hopkins - Using Hadoop to Secure Access Log Events
Johns Hopkins - Using Hadoop to Secure Access Log EventsHortonworks
 
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad Guys
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad GuysCatch a Hacker in Real-Time: Live Visuals of Bots and Bad Guys
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad GuysHortonworks
 
HDF 3.2 - What's New
HDF 3.2 - What's NewHDF 3.2 - What's New
HDF 3.2 - What's NewHortonworks
 
Curing Kafka Blindness with Hortonworks Streams Messaging Manager
Curing Kafka Blindness with Hortonworks Streams Messaging ManagerCuring Kafka Blindness with Hortonworks Streams Messaging Manager
Curing Kafka Blindness with Hortonworks Streams Messaging ManagerHortonworks
 
Interpretation Tool for Genomic Sequencing Data in Clinical Environments
Interpretation Tool for Genomic Sequencing Data in Clinical EnvironmentsInterpretation Tool for Genomic Sequencing Data in Clinical Environments
Interpretation Tool for Genomic Sequencing Data in Clinical EnvironmentsHortonworks
 
IBM+Hortonworks = Transformation of the Big Data Landscape
IBM+Hortonworks = Transformation of the Big Data LandscapeIBM+Hortonworks = Transformation of the Big Data Landscape
IBM+Hortonworks = Transformation of the Big Data LandscapeHortonworks
 
Premier Inside-Out: Apache Druid
Premier Inside-Out: Apache DruidPremier Inside-Out: Apache Druid
Premier Inside-Out: Apache DruidHortonworks
 
Accelerating Data Science and Real Time Analytics at Scale
Accelerating Data Science and Real Time Analytics at ScaleAccelerating Data Science and Real Time Analytics at Scale
Accelerating Data Science and Real Time Analytics at ScaleHortonworks
 
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATA
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATATIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATA
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATAHortonworks
 
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...Hortonworks
 
Delivering Real-Time Streaming Data for Healthcare Customers: Clearsense
Delivering Real-Time Streaming Data for Healthcare Customers: ClearsenseDelivering Real-Time Streaming Data for Healthcare Customers: Clearsense
Delivering Real-Time Streaming Data for Healthcare Customers: ClearsenseHortonworks
 
Making Enterprise Big Data Small with Ease
Making Enterprise Big Data Small with EaseMaking Enterprise Big Data Small with Ease
Making Enterprise Big Data Small with EaseHortonworks
 
Webinewbie to Webinerd in 30 Days - Webinar World Presentation
Webinewbie to Webinerd in 30 Days - Webinar World PresentationWebinewbie to Webinerd in 30 Days - Webinar World Presentation
Webinewbie to Webinerd in 30 Days - Webinar World PresentationHortonworks
 
Driving Digital Transformation Through Global Data Management
Driving Digital Transformation Through Global Data ManagementDriving Digital Transformation Through Global Data Management
Driving Digital Transformation Through Global Data ManagementHortonworks
 
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming Features
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming FeaturesHDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming Features
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming FeaturesHortonworks
 
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...Hortonworks
 
Unlock Value from Big Data with Apache NiFi and Streaming CDC
Unlock Value from Big Data with Apache NiFi and Streaming CDCUnlock Value from Big Data with Apache NiFi and Streaming CDC
Unlock Value from Big Data with Apache NiFi and Streaming CDCHortonworks
 

Mehr von Hortonworks (20)

Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next Level
Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next LevelHortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next Level
Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next Level
 
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT StrategyIoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy
 
Getting the Most Out of Your Data in the Cloud with Cloudbreak
Getting the Most Out of Your Data in the Cloud with CloudbreakGetting the Most Out of Your Data in the Cloud with Cloudbreak
Getting the Most Out of Your Data in the Cloud with Cloudbreak
 
Johns Hopkins - Using Hadoop to Secure Access Log Events
Johns Hopkins - Using Hadoop to Secure Access Log EventsJohns Hopkins - Using Hadoop to Secure Access Log Events
Johns Hopkins - Using Hadoop to Secure Access Log Events
 
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad Guys
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad GuysCatch a Hacker in Real-Time: Live Visuals of Bots and Bad Guys
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad Guys
 
HDF 3.2 - What's New
HDF 3.2 - What's NewHDF 3.2 - What's New
HDF 3.2 - What's New
 
Curing Kafka Blindness with Hortonworks Streams Messaging Manager
Curing Kafka Blindness with Hortonworks Streams Messaging ManagerCuring Kafka Blindness with Hortonworks Streams Messaging Manager
Curing Kafka Blindness with Hortonworks Streams Messaging Manager
 
Interpretation Tool for Genomic Sequencing Data in Clinical Environments
Interpretation Tool for Genomic Sequencing Data in Clinical EnvironmentsInterpretation Tool for Genomic Sequencing Data in Clinical Environments
Interpretation Tool for Genomic Sequencing Data in Clinical Environments
 
IBM+Hortonworks = Transformation of the Big Data Landscape
IBM+Hortonworks = Transformation of the Big Data LandscapeIBM+Hortonworks = Transformation of the Big Data Landscape
IBM+Hortonworks = Transformation of the Big Data Landscape
 
Premier Inside-Out: Apache Druid
Premier Inside-Out: Apache DruidPremier Inside-Out: Apache Druid
Premier Inside-Out: Apache Druid
 
Accelerating Data Science and Real Time Analytics at Scale
Accelerating Data Science and Real Time Analytics at ScaleAccelerating Data Science and Real Time Analytics at Scale
Accelerating Data Science and Real Time Analytics at Scale
 
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATA
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATATIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATA
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATA
 
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...
 
Delivering Real-Time Streaming Data for Healthcare Customers: Clearsense
Delivering Real-Time Streaming Data for Healthcare Customers: ClearsenseDelivering Real-Time Streaming Data for Healthcare Customers: Clearsense
Delivering Real-Time Streaming Data for Healthcare Customers: Clearsense
 
Making Enterprise Big Data Small with Ease
Making Enterprise Big Data Small with EaseMaking Enterprise Big Data Small with Ease
Making Enterprise Big Data Small with Ease
 
Webinewbie to Webinerd in 30 Days - Webinar World Presentation
Webinewbie to Webinerd in 30 Days - Webinar World PresentationWebinewbie to Webinerd in 30 Days - Webinar World Presentation
Webinewbie to Webinerd in 30 Days - Webinar World Presentation
 
Driving Digital Transformation Through Global Data Management
Driving Digital Transformation Through Global Data ManagementDriving Digital Transformation Through Global Data Management
Driving Digital Transformation Through Global Data Management
 
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming Features
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming FeaturesHDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming Features
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming Features
 
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...
 
Unlock Value from Big Data with Apache NiFi and Streaming CDC
Unlock Value from Big Data with Apache NiFi and Streaming CDCUnlock Value from Big Data with Apache NiFi and Streaming CDC
Unlock Value from Big Data with Apache NiFi and Streaming CDC
 

Kürzlich hochgeladen

Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 

Kürzlich hochgeladen (20)

Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 

Icons and Stencils for Hadoop

  • 1. © Hortonworks Inc. 2013 Icons For Hadoop Page 1
  • 2. © Hortonworks Inc. 2013 Hortonworks Icons for Hadoop v1.0 This is an unofficial set of icons for Hadoop projects, related components and resources that anyone can use to create architecture diagrams or other images. The icons are designed to be simple and flexible to assist comprehension in technical diagrams. Download Visio & Omnigraffle stencils, EPS and HiRes PNGs here: http://bit.ly/17mQJ9k •  Slides 3-8: Icons, Containers, Fonts and Style Guides •  Slides 9-13: Example Diagrams Page 2
  • 3. © Hortonworks Inc. 2013 Icons – Generic Data Center Page 3 Network Switch Network Router IP Load Balancer Disk, Storage Server, Data Center, Rack, Existing System Ethernet Connections Cloud
  • 4. © Hortonworks Inc. 2013 Icons – Hadoop Page 4 Flume, Sqoop, Falcon, Ingestion, ETL Knox Security Hortonworks, HDP Hive, Pig, Tez Processing Engine Name Node Node Instances YARN Resource Manager Data Node, HBase, Data Operation/Management ZooKeeper, HBase, Hive Metastore, Registry, Database, Task Tracker, Job Tracker, Management or Ambari Management, Monitoring Oozie Scheduling HDFS Storage Nodes, cluster
  • 5. © Hortonworks Inc. 2013 General Styles Page 5 Icon Diagram AMBARI 1.2.3 1.2.3 AMBARI 1.1.1 AMBARI AMBARI 1.2.3
  • 6. © Hortonworks Inc. 2013 Icons - Containers Page 6 100% 40% 10% 100% 40% 10%
  • 7. © Hortonworks Inc. 2013 Icons - Containers Page 7 100% 40% 10% 100% 40% 10%
  • 8. © Hortonworks Inc. 2013 Typography Page 8 PPT FONT: Arial 14pt (Secondary color and size) abcdefghijklmnopqrstuvwxyz ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890 Arial 36pt Black (use for slide headings) Arial 20pt Black (Primary color and size) abcdefghijklmnopqrstuvwxyz ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890 Arial 9pt (Use for descriptions in diagrams, use only if 14pt is too large) abcdefghijklmnopqrstuvwxyz ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890 Arial 10pt-14pt White (use for text in adorners) Center justified abcdefghijklmnopqrstuvwxyz Arial 10pt-14pt White (use for text in adorners) Center justified abcdefghijklmnopqrstuvwxyz
  • 9. © Hortonworks Inc. 2013 Usage Examples 9
  • 10. © Hortonworks Inc. 2013 Example Diagram – Hadoop 2.0 Page 10 HDFS2 (redundant, reliable storage) YARN (cluster resource management) Others (data processing) HADOOP 2.0 MapReduce (data processing) Original Source: http://hortonworks.com/hadoop/yarn
  • 11. © Hortonworks Inc. 2013 Example Diagram – Canonical Hadoop Page 11 Flume HDFS HiveData Source Original Source: http://www.infoq.com/articles/BigDataBlueprint
  • 12. © Hortonworks Inc. 2013 1.3.1 Flume Example Diagram - Application Page 12 Twitter Sink to HDFS JSON SerDe Parses Data Custom Flume Source Add Partitions Hourly 3.3.2 Oozie 0.11.0 Hive 0.94.6.1 HDFS Original Source: http://blog.cloudera.com/blog/2012/09/analyzing-twitter-data-with-hadoop/
  • 13. © Hortonworks Inc. 2013 Example Diagram – Network Page 13 Switch 1 Rack 1 Rack 2 DISC 1 DISC 2 DISC 3 DISC 4 DISC 5 DISC 6