SlideShare a Scribd company logo
1 of 5
Case Study:
Apache Spot
Undergrad Student: Eliza Cani-Pasiphae Lab
Supervisor: Dr.Evangelos Markakis
2nd Supervisor: Νίκος Σιγανός
Progress report
December 14 2018
Agenda
▸ Study of the thesis paper "Apache Spot Assessment Using Penetration Testing"
(Christos Minas Mathas)
▸ More general apache spot research
▸Virtual Network implementation
▸Application of the penetration tests in my own network
▸Analysis / comparison of results
▸Expansion of the paper studied
▸Developing the thesis paper
2
Agenda
Virtual Network implementation
▸Debian 1 vm (Master Node)
▸Debian 2 vm (Slave Node)
Apache Spot Prerequisites:
▸Hadoop
▸Hadoop services (Hive)
▸Hadoop services (Impala)…
▸Hadoop services (Kafka)
▸Hadoop services (Spark)
▸Hadoop services (Yarn)
▸Hadoop services (Zookeeper)
▸Apache Spot
3
Progress:
Hadoop +
Hive +
Impala-
Issues trying to install it through command
Tried from gui
Tried to buid.sh
4
5
THANKS!
Any questions?
You can find me at:
Eliza-@windowslive.com

More Related Content

What's hot

April 2013 HUG: Storm and Hadoop - Convergence of Big-Data and Low-Latency Pr...
April 2013 HUG: Storm and Hadoop - Convergence of Big-Data and Low-Latency Pr...April 2013 HUG: Storm and Hadoop - Convergence of Big-Data and Low-Latency Pr...
April 2013 HUG: Storm and Hadoop - Convergence of Big-Data and Low-Latency Pr...Yahoo Developer Network
 
Storm presentation
Storm presentationStorm presentation
Storm presentationShyam Raj
 
Real Time Graph Computations in Storm, Neo4J, Python - PyCon India 2013
Real Time Graph Computations in Storm, Neo4J, Python - PyCon India 2013Real Time Graph Computations in Storm, Neo4J, Python - PyCon India 2013
Real Time Graph Computations in Storm, Neo4J, Python - PyCon India 2013Sonal Raj
 
Real-Time Big Data at In-Memory Speed, Using Storm
Real-Time Big Data at In-Memory Speed, Using StormReal-Time Big Data at In-Memory Speed, Using Storm
Real-Time Big Data at In-Memory Speed, Using StormNati Shalom
 
FireWorks workflow software
FireWorks workflow softwareFireWorks workflow software
FireWorks workflow softwareAnubhav Jain
 
Learning Stream Processing with Apache Storm
Learning Stream Processing with Apache StormLearning Stream Processing with Apache Storm
Learning Stream Processing with Apache StormEugene Dvorkin
 
Slide #1:Introduction to Apache Storm
Slide #1:Introduction to Apache StormSlide #1:Introduction to Apache Storm
Slide #1:Introduction to Apache StormMd. Shamsur Rahim
 
Real time big data analytics with Storm by Ron Bodkin of Think Big Analytics
Real time big data analytics with Storm by Ron Bodkin of Think Big AnalyticsReal time big data analytics with Storm by Ron Bodkin of Think Big Analytics
Real time big data analytics with Storm by Ron Bodkin of Think Big AnalyticsData Con LA
 
Prezo at-mesos con2015-final
Prezo at-mesos con2015-finalPrezo at-mesos con2015-final
Prezo at-mesos con2015-finalSharma Podila
 
Introduction to Apache Storm - Concept & Example
Introduction to Apache Storm - Concept & ExampleIntroduction to Apache Storm - Concept & Example
Introduction to Apache Storm - Concept & ExampleDung Ngua
 
Airflow - a data flow engine
Airflow - a data flow engineAirflow - a data flow engine
Airflow - a data flow engineWalter Liu
 
Time Series Data in a Time Series World
Time Series Data in a Time Series WorldTime Series Data in a Time Series World
Time Series Data in a Time Series WorldMapR Technologies
 
Storm: The Real-Time Layer - GlueCon 2012
Storm: The Real-Time Layer  - GlueCon 2012Storm: The Real-Time Layer  - GlueCon 2012
Storm: The Real-Time Layer - GlueCon 2012Dan Lynn
 
Apache spark presentation
Apache spark presentationApache spark presentation
Apache spark presentationMahboob Hussain
 

What's hot (20)

April 2013 HUG: Storm and Hadoop - Convergence of Big-Data and Low-Latency Pr...
April 2013 HUG: Storm and Hadoop - Convergence of Big-Data and Low-Latency Pr...April 2013 HUG: Storm and Hadoop - Convergence of Big-Data and Low-Latency Pr...
April 2013 HUG: Storm and Hadoop - Convergence of Big-Data and Low-Latency Pr...
 
Storm presentation
Storm presentationStorm presentation
Storm presentation
 
Apache Storm Internals
Apache Storm InternalsApache Storm Internals
Apache Storm Internals
 
Real Time Graph Computations in Storm, Neo4J, Python - PyCon India 2013
Real Time Graph Computations in Storm, Neo4J, Python - PyCon India 2013Real Time Graph Computations in Storm, Neo4J, Python - PyCon India 2013
Real Time Graph Computations in Storm, Neo4J, Python - PyCon India 2013
 
MAVRL Workshop 2014 - pymatgen-db & custodian
MAVRL Workshop 2014 - pymatgen-db & custodianMAVRL Workshop 2014 - pymatgen-db & custodian
MAVRL Workshop 2014 - pymatgen-db & custodian
 
Google colab installing ml libraries
Google colab   installing ml librariesGoogle colab   installing ml libraries
Google colab installing ml libraries
 
Real-Time Big Data at In-Memory Speed, Using Storm
Real-Time Big Data at In-Memory Speed, Using StormReal-Time Big Data at In-Memory Speed, Using Storm
Real-Time Big Data at In-Memory Speed, Using Storm
 
FireWorks workflow software
FireWorks workflow softwareFireWorks workflow software
FireWorks workflow software
 
Resource Aware Scheduling in Apache Storm
Resource Aware Scheduling in Apache StormResource Aware Scheduling in Apache Storm
Resource Aware Scheduling in Apache Storm
 
Learning Stream Processing with Apache Storm
Learning Stream Processing with Apache StormLearning Stream Processing with Apache Storm
Learning Stream Processing with Apache Storm
 
Slide #1:Introduction to Apache Storm
Slide #1:Introduction to Apache StormSlide #1:Introduction to Apache Storm
Slide #1:Introduction to Apache Storm
 
Real time big data analytics with Storm by Ron Bodkin of Think Big Analytics
Real time big data analytics with Storm by Ron Bodkin of Think Big AnalyticsReal time big data analytics with Storm by Ron Bodkin of Think Big Analytics
Real time big data analytics with Storm by Ron Bodkin of Think Big Analytics
 
Prezo at-mesos con2015-final
Prezo at-mesos con2015-finalPrezo at-mesos con2015-final
Prezo at-mesos con2015-final
 
Gevent at TellApart
Gevent at TellApartGevent at TellApart
Gevent at TellApart
 
Introduction to Apache Storm - Concept & Example
Introduction to Apache Storm - Concept & ExampleIntroduction to Apache Storm - Concept & Example
Introduction to Apache Storm - Concept & Example
 
MAVRL Workshop 2014 - Python Materials Genomics (pymatgen)
MAVRL Workshop 2014 - Python Materials Genomics (pymatgen)MAVRL Workshop 2014 - Python Materials Genomics (pymatgen)
MAVRL Workshop 2014 - Python Materials Genomics (pymatgen)
 
Airflow - a data flow engine
Airflow - a data flow engineAirflow - a data flow engine
Airflow - a data flow engine
 
Time Series Data in a Time Series World
Time Series Data in a Time Series WorldTime Series Data in a Time Series World
Time Series Data in a Time Series World
 
Storm: The Real-Time Layer - GlueCon 2012
Storm: The Real-Time Layer  - GlueCon 2012Storm: The Real-Time Layer  - GlueCon 2012
Storm: The Real-Time Layer - GlueCon 2012
 
Apache spark presentation
Apache spark presentationApache spark presentation
Apache spark presentation
 

Similar to Progress report2 eliza_cani_3217

Parallel SPAM Clustering with Hadoop
Parallel SPAM Clustering with HadoopParallel SPAM Clustering with Hadoop
Parallel SPAM Clustering with HadoopThibault Debatty
 
Scapy the packet 途中01
Scapy the packet 途中01Scapy the packet 途中01
Scapy the packet 途中01saba syake
 
Snabb, a toolkit for building user-space network functions (ES.NOG 20)
Snabb, a toolkit for building user-space network functions (ES.NOG 20)Snabb, a toolkit for building user-space network functions (ES.NOG 20)
Snabb, a toolkit for building user-space network functions (ES.NOG 20)Igalia
 
Karmasphere Studio for Hadoop
Karmasphere Studio for HadoopKarmasphere Studio for Hadoop
Karmasphere Studio for HadoopHadoop User Group
 
IPv6 Campus Deployment Panel
IPv6 Campus Deployment PanelIPv6 Campus Deployment Panel
IPv6 Campus Deployment PanelShumon Huque
 
High Availability from the DevOps side - OpenStack Summit Portland
High Availability from the DevOps side - OpenStack Summit PortlandHigh Availability from the DevOps side - OpenStack Summit Portland
High Availability from the DevOps side - OpenStack Summit PortlandeNovance
 
9/2017 STL HUG - Back to School
9/2017 STL HUG - Back to School9/2017 STL HUG - Back to School
9/2017 STL HUG - Back to SchoolAdam Doyle
 
Pittaro open stackloganalysis_20130416
Pittaro open stackloganalysis_20130416Pittaro open stackloganalysis_20130416
Pittaro open stackloganalysis_20130416OpenStack Foundation
 
Flaky tests and bugs in Apache software (e.g. Hadoop)
Flaky tests and bugs in Apache software (e.g. Hadoop)Flaky tests and bugs in Apache software (e.g. Hadoop)
Flaky tests and bugs in Apache software (e.g. Hadoop)Akihiro Suda
 
OpenHFT: An Advanced Java Data Locality and IPC Transport Solution
OpenHFT: An Advanced Java Data Locality and IPC Transport SolutionOpenHFT: An Advanced Java Data Locality and IPC Transport Solution
OpenHFT: An Advanced Java Data Locality and IPC Transport SolutionBen Cotton
 
Hadoop @ Sara & BiG Grid
Hadoop @ Sara & BiG GridHadoop @ Sara & BiG Grid
Hadoop @ Sara & BiG GridEvert Lammerts
 
Hopsworks - Self-Service Spark/Flink/Kafka/Hadoop
Hopsworks - Self-Service Spark/Flink/Kafka/HadoopHopsworks - Self-Service Spark/Flink/Kafka/Hadoop
Hopsworks - Self-Service Spark/Flink/Kafka/HadoopJim Dowling
 
NameNode Analytics - Querying HDFS Namespace in Real Time
NameNode Analytics - Querying HDFS Namespace in Real TimeNameNode Analytics - Querying HDFS Namespace in Real Time
NameNode Analytics - Querying HDFS Namespace in Real TimePlamen Jeliazkov
 
carrow - Go bindings to Apache Arrow via C++-API
carrow - Go bindings to Apache Arrow via C++-APIcarrow - Go bindings to Apache Arrow via C++-API
carrow - Go bindings to Apache Arrow via C++-APIYoni Davidson
 
Practical Chaos Engineering
Practical Chaos EngineeringPractical Chaos Engineering
Practical Chaos EngineeringSIGHUP
 

Similar to Progress report2 eliza_cani_3217 (20)

2012 09-08-josug-jeff
2012 09-08-josug-jeff2012 09-08-josug-jeff
2012 09-08-josug-jeff
 
Parallel SPAM Clustering with Hadoop
Parallel SPAM Clustering with HadoopParallel SPAM Clustering with Hadoop
Parallel SPAM Clustering with Hadoop
 
Scapy the packet 途中01
Scapy the packet 途中01Scapy the packet 途中01
Scapy the packet 途中01
 
Snabb, a toolkit for building user-space network functions (ES.NOG 20)
Snabb, a toolkit for building user-space network functions (ES.NOG 20)Snabb, a toolkit for building user-space network functions (ES.NOG 20)
Snabb, a toolkit for building user-space network functions (ES.NOG 20)
 
Karmasphere Studio for Hadoop
Karmasphere Studio for HadoopKarmasphere Studio for Hadoop
Karmasphere Studio for Hadoop
 
IPv6 Campus Deployment Panel
IPv6 Campus Deployment PanelIPv6 Campus Deployment Panel
IPv6 Campus Deployment Panel
 
High Availability from the DevOps side - OpenStack Summit Portland
High Availability from the DevOps side - OpenStack Summit PortlandHigh Availability from the DevOps side - OpenStack Summit Portland
High Availability from the DevOps side - OpenStack Summit Portland
 
9/2017 STL HUG - Back to School
9/2017 STL HUG - Back to School9/2017 STL HUG - Back to School
9/2017 STL HUG - Back to School
 
IPv6 training guide - Yuval Shaul
IPv6 training guide - Yuval ShaulIPv6 training guide - Yuval Shaul
IPv6 training guide - Yuval Shaul
 
Hadoop For OpenStack Log Analysis
Hadoop For OpenStack Log AnalysisHadoop For OpenStack Log Analysis
Hadoop For OpenStack Log Analysis
 
Pittaro open stackloganalysis_20130416
Pittaro open stackloganalysis_20130416Pittaro open stackloganalysis_20130416
Pittaro open stackloganalysis_20130416
 
Flaky tests and bugs in Apache software (e.g. Hadoop)
Flaky tests and bugs in Apache software (e.g. Hadoop)Flaky tests and bugs in Apache software (e.g. Hadoop)
Flaky tests and bugs in Apache software (e.g. Hadoop)
 
20080529dublinpt1
20080529dublinpt120080529dublinpt1
20080529dublinpt1
 
20080528dublinpt2
20080528dublinpt220080528dublinpt2
20080528dublinpt2
 
OpenHFT: An Advanced Java Data Locality and IPC Transport Solution
OpenHFT: An Advanced Java Data Locality and IPC Transport SolutionOpenHFT: An Advanced Java Data Locality and IPC Transport Solution
OpenHFT: An Advanced Java Data Locality and IPC Transport Solution
 
Hadoop @ Sara & BiG Grid
Hadoop @ Sara & BiG GridHadoop @ Sara & BiG Grid
Hadoop @ Sara & BiG Grid
 
Hopsworks - Self-Service Spark/Flink/Kafka/Hadoop
Hopsworks - Self-Service Spark/Flink/Kafka/HadoopHopsworks - Self-Service Spark/Flink/Kafka/Hadoop
Hopsworks - Self-Service Spark/Flink/Kafka/Hadoop
 
NameNode Analytics - Querying HDFS Namespace in Real Time
NameNode Analytics - Querying HDFS Namespace in Real TimeNameNode Analytics - Querying HDFS Namespace in Real Time
NameNode Analytics - Querying HDFS Namespace in Real Time
 
carrow - Go bindings to Apache Arrow via C++-API
carrow - Go bindings to Apache Arrow via C++-APIcarrow - Go bindings to Apache Arrow via C++-API
carrow - Go bindings to Apache Arrow via C++-API
 
Practical Chaos Engineering
Practical Chaos EngineeringPractical Chaos Engineering
Practical Chaos Engineering
 

Recently uploaded

FULL ENJOY - 9953040155 Call Girls in Noida | Delhi
FULL ENJOY - 9953040155 Call Girls in Noida | DelhiFULL ENJOY - 9953040155 Call Girls in Noida | Delhi
FULL ENJOY - 9953040155 Call Girls in Noida | DelhiMalviyaNagarCallGirl
 
Russian⚡ Call Girls In Sector 104 Noida✨8375860717⚡Escorts Service
Russian⚡ Call Girls In Sector 104 Noida✨8375860717⚡Escorts ServiceRussian⚡ Call Girls In Sector 104 Noida✨8375860717⚡Escorts Service
Russian⚡ Call Girls In Sector 104 Noida✨8375860717⚡Escorts Servicedoor45step
 
MinSheng Gaofeng Estate commercial storyboard
MinSheng Gaofeng Estate commercial storyboardMinSheng Gaofeng Estate commercial storyboard
MinSheng Gaofeng Estate commercial storyboardjessica288382
 
9654467111 Call Girls In Noida Sector 62 Short 1500 Night 6000
9654467111 Call Girls In Noida Sector 62 Short 1500 Night 60009654467111 Call Girls In Noida Sector 62 Short 1500 Night 6000
9654467111 Call Girls In Noida Sector 62 Short 1500 Night 6000Sapana Sha
 
Akola Call Girls #9907093804 Contact Number Escorts Service Akola
Akola Call Girls #9907093804 Contact Number Escorts Service AkolaAkola Call Girls #9907093804 Contact Number Escorts Service Akola
Akola Call Girls #9907093804 Contact Number Escorts Service Akolasrsj9000
 
FULL ENJOY - 9953040155 Call Girls in Moti Nagar | Delhi
FULL ENJOY - 9953040155 Call Girls in Moti Nagar | DelhiFULL ENJOY - 9953040155 Call Girls in Moti Nagar | Delhi
FULL ENJOY - 9953040155 Call Girls in Moti Nagar | DelhiMalviyaNagarCallGirl
 
Low Rate Call Girls in Laxmi Nagar Delhi Call 9990771857
Low Rate Call Girls in Laxmi Nagar Delhi Call 9990771857Low Rate Call Girls in Laxmi Nagar Delhi Call 9990771857
Low Rate Call Girls in Laxmi Nagar Delhi Call 9990771857delhimodel235
 
Downtown Call Girls O5O91O128O Pakistani Call Girls in Downtown
Downtown Call Girls O5O91O128O Pakistani Call Girls in DowntownDowntown Call Girls O5O91O128O Pakistani Call Girls in Downtown
Downtown Call Girls O5O91O128O Pakistani Call Girls in Downtowndajasot375
 
Pragati Maidan Call Girls : ☎ 8527673949, Low rate Call Girls
Pragati Maidan Call Girls : ☎ 8527673949, Low rate Call GirlsPragati Maidan Call Girls : ☎ 8527673949, Low rate Call Girls
Pragati Maidan Call Girls : ☎ 8527673949, Low rate Call Girlsashishs7044
 
Hazratganj ] (Call Girls) in Lucknow - 450+ Call Girl Cash Payment 🧄 89231135...
Hazratganj ] (Call Girls) in Lucknow - 450+ Call Girl Cash Payment 🧄 89231135...Hazratganj ] (Call Girls) in Lucknow - 450+ Call Girl Cash Payment 🧄 89231135...
Hazratganj ] (Call Girls) in Lucknow - 450+ Call Girl Cash Payment 🧄 89231135...akbard9823
 
FULL ENJOY - 9953040155 Call Girls in Paschim Vihar | Delhi
FULL ENJOY - 9953040155 Call Girls in Paschim Vihar | DelhiFULL ENJOY - 9953040155 Call Girls in Paschim Vihar | Delhi
FULL ENJOY - 9953040155 Call Girls in Paschim Vihar | DelhiMalviyaNagarCallGirl
 
Retail Store Scavanger Hunt - Foundation College Park
Retail Store Scavanger Hunt - Foundation College ParkRetail Store Scavanger Hunt - Foundation College Park
Retail Store Scavanger Hunt - Foundation College Parkjosebenzaquen
 
Zagor VČ OP 055 - Oluja nad Haitijem.pdf
Zagor VČ OP 055 - Oluja nad Haitijem.pdfZagor VČ OP 055 - Oluja nad Haitijem.pdf
Zagor VČ OP 055 - Oluja nad Haitijem.pdfStripovizijacom
 
Greater Noida Call Girls : ☎ 8527673949, Low rate Call Girls
Greater Noida Call Girls : ☎ 8527673949, Low rate Call GirlsGreater Noida Call Girls : ☎ 8527673949, Low rate Call Girls
Greater Noida Call Girls : ☎ 8527673949, Low rate Call Girlsashishs7044
 
Bur Dubai Call Girls O58993O4O2 Call Girls in Bur Dubai
Bur Dubai Call Girls O58993O4O2 Call Girls in Bur DubaiBur Dubai Call Girls O58993O4O2 Call Girls in Bur Dubai
Bur Dubai Call Girls O58993O4O2 Call Girls in Bur Dubaidajasot375
 
FULL ENJOY - 9953040155 Call Girls in Gtb Nagar | Delhi
FULL ENJOY - 9953040155 Call Girls in Gtb Nagar | DelhiFULL ENJOY - 9953040155 Call Girls in Gtb Nagar | Delhi
FULL ENJOY - 9953040155 Call Girls in Gtb Nagar | DelhiMalviyaNagarCallGirl
 
FULL ENJOY - 9953040155 Call Girls in Gandhi Vihar | Delhi
FULL ENJOY - 9953040155 Call Girls in Gandhi Vihar | DelhiFULL ENJOY - 9953040155 Call Girls in Gandhi Vihar | Delhi
FULL ENJOY - 9953040155 Call Girls in Gandhi Vihar | DelhiMalviyaNagarCallGirl
 
Turn Lock Take Key Storyboard Daniel Johnson
Turn Lock Take Key Storyboard Daniel JohnsonTurn Lock Take Key Storyboard Daniel Johnson
Turn Lock Take Key Storyboard Daniel Johnsonthephillipta
 
The First Date by Daniel Johnson (Inspired By True Events)
The First Date by Daniel Johnson (Inspired By True Events)The First Date by Daniel Johnson (Inspired By True Events)
The First Date by Daniel Johnson (Inspired By True Events)thephillipta
 

Recently uploaded (20)

FULL ENJOY - 9953040155 Call Girls in Noida | Delhi
FULL ENJOY - 9953040155 Call Girls in Noida | DelhiFULL ENJOY - 9953040155 Call Girls in Noida | Delhi
FULL ENJOY - 9953040155 Call Girls in Noida | Delhi
 
Russian⚡ Call Girls In Sector 104 Noida✨8375860717⚡Escorts Service
Russian⚡ Call Girls In Sector 104 Noida✨8375860717⚡Escorts ServiceRussian⚡ Call Girls In Sector 104 Noida✨8375860717⚡Escorts Service
Russian⚡ Call Girls In Sector 104 Noida✨8375860717⚡Escorts Service
 
MinSheng Gaofeng Estate commercial storyboard
MinSheng Gaofeng Estate commercial storyboardMinSheng Gaofeng Estate commercial storyboard
MinSheng Gaofeng Estate commercial storyboard
 
9654467111 Call Girls In Noida Sector 62 Short 1500 Night 6000
9654467111 Call Girls In Noida Sector 62 Short 1500 Night 60009654467111 Call Girls In Noida Sector 62 Short 1500 Night 6000
9654467111 Call Girls In Noida Sector 62 Short 1500 Night 6000
 
Akola Call Girls #9907093804 Contact Number Escorts Service Akola
Akola Call Girls #9907093804 Contact Number Escorts Service AkolaAkola Call Girls #9907093804 Contact Number Escorts Service Akola
Akola Call Girls #9907093804 Contact Number Escorts Service Akola
 
FULL ENJOY - 9953040155 Call Girls in Moti Nagar | Delhi
FULL ENJOY - 9953040155 Call Girls in Moti Nagar | DelhiFULL ENJOY - 9953040155 Call Girls in Moti Nagar | Delhi
FULL ENJOY - 9953040155 Call Girls in Moti Nagar | Delhi
 
Low Rate Call Girls in Laxmi Nagar Delhi Call 9990771857
Low Rate Call Girls in Laxmi Nagar Delhi Call 9990771857Low Rate Call Girls in Laxmi Nagar Delhi Call 9990771857
Low Rate Call Girls in Laxmi Nagar Delhi Call 9990771857
 
Downtown Call Girls O5O91O128O Pakistani Call Girls in Downtown
Downtown Call Girls O5O91O128O Pakistani Call Girls in DowntownDowntown Call Girls O5O91O128O Pakistani Call Girls in Downtown
Downtown Call Girls O5O91O128O Pakistani Call Girls in Downtown
 
Pragati Maidan Call Girls : ☎ 8527673949, Low rate Call Girls
Pragati Maidan Call Girls : ☎ 8527673949, Low rate Call GirlsPragati Maidan Call Girls : ☎ 8527673949, Low rate Call Girls
Pragati Maidan Call Girls : ☎ 8527673949, Low rate Call Girls
 
Hazratganj ] (Call Girls) in Lucknow - 450+ Call Girl Cash Payment 🧄 89231135...
Hazratganj ] (Call Girls) in Lucknow - 450+ Call Girl Cash Payment 🧄 89231135...Hazratganj ] (Call Girls) in Lucknow - 450+ Call Girl Cash Payment 🧄 89231135...
Hazratganj ] (Call Girls) in Lucknow - 450+ Call Girl Cash Payment 🧄 89231135...
 
Dxb Call Girls # +971529501107 # Call Girls In Dxb Dubai || (UAE)
Dxb Call Girls # +971529501107 # Call Girls In Dxb Dubai || (UAE)Dxb Call Girls # +971529501107 # Call Girls In Dxb Dubai || (UAE)
Dxb Call Girls # +971529501107 # Call Girls In Dxb Dubai || (UAE)
 
FULL ENJOY - 9953040155 Call Girls in Paschim Vihar | Delhi
FULL ENJOY - 9953040155 Call Girls in Paschim Vihar | DelhiFULL ENJOY - 9953040155 Call Girls in Paschim Vihar | Delhi
FULL ENJOY - 9953040155 Call Girls in Paschim Vihar | Delhi
 
Retail Store Scavanger Hunt - Foundation College Park
Retail Store Scavanger Hunt - Foundation College ParkRetail Store Scavanger Hunt - Foundation College Park
Retail Store Scavanger Hunt - Foundation College Park
 
Zagor VČ OP 055 - Oluja nad Haitijem.pdf
Zagor VČ OP 055 - Oluja nad Haitijem.pdfZagor VČ OP 055 - Oluja nad Haitijem.pdf
Zagor VČ OP 055 - Oluja nad Haitijem.pdf
 
Greater Noida Call Girls : ☎ 8527673949, Low rate Call Girls
Greater Noida Call Girls : ☎ 8527673949, Low rate Call GirlsGreater Noida Call Girls : ☎ 8527673949, Low rate Call Girls
Greater Noida Call Girls : ☎ 8527673949, Low rate Call Girls
 
Bur Dubai Call Girls O58993O4O2 Call Girls in Bur Dubai
Bur Dubai Call Girls O58993O4O2 Call Girls in Bur DubaiBur Dubai Call Girls O58993O4O2 Call Girls in Bur Dubai
Bur Dubai Call Girls O58993O4O2 Call Girls in Bur Dubai
 
FULL ENJOY - 9953040155 Call Girls in Gtb Nagar | Delhi
FULL ENJOY - 9953040155 Call Girls in Gtb Nagar | DelhiFULL ENJOY - 9953040155 Call Girls in Gtb Nagar | Delhi
FULL ENJOY - 9953040155 Call Girls in Gtb Nagar | Delhi
 
FULL ENJOY - 9953040155 Call Girls in Gandhi Vihar | Delhi
FULL ENJOY - 9953040155 Call Girls in Gandhi Vihar | DelhiFULL ENJOY - 9953040155 Call Girls in Gandhi Vihar | Delhi
FULL ENJOY - 9953040155 Call Girls in Gandhi Vihar | Delhi
 
Turn Lock Take Key Storyboard Daniel Johnson
Turn Lock Take Key Storyboard Daniel JohnsonTurn Lock Take Key Storyboard Daniel Johnson
Turn Lock Take Key Storyboard Daniel Johnson
 
The First Date by Daniel Johnson (Inspired By True Events)
The First Date by Daniel Johnson (Inspired By True Events)The First Date by Daniel Johnson (Inspired By True Events)
The First Date by Daniel Johnson (Inspired By True Events)
 

Progress report2 eliza_cani_3217

  • 1. Case Study: Apache Spot Undergrad Student: Eliza Cani-Pasiphae Lab Supervisor: Dr.Evangelos Markakis 2nd Supervisor: Νίκος Σιγανός Progress report December 14 2018
  • 2. Agenda ▸ Study of the thesis paper "Apache Spot Assessment Using Penetration Testing" (Christos Minas Mathas) ▸ More general apache spot research ▸Virtual Network implementation ▸Application of the penetration tests in my own network ▸Analysis / comparison of results ▸Expansion of the paper studied ▸Developing the thesis paper 2
  • 3. Agenda Virtual Network implementation ▸Debian 1 vm (Master Node) ▸Debian 2 vm (Slave Node) Apache Spot Prerequisites: ▸Hadoop ▸Hadoop services (Hive) ▸Hadoop services (Impala)… ▸Hadoop services (Kafka) ▸Hadoop services (Spark) ▸Hadoop services (Yarn) ▸Hadoop services (Zookeeper) ▸Apache Spot 3
  • 4. Progress: Hadoop + Hive + Impala- Issues trying to install it through command Tried from gui Tried to buid.sh 4
  • 5. 5 THANKS! Any questions? You can find me at: Eliza-@windowslive.com