SlideShare a Scribd company logo
Getting Started Running 

Apache Spark on Apache Mesos,
2014-01-24	

Paco Nathan 

liber118.com/pxn

@pacoid
Spark on Mesos, 2014-01-24	


• what is Apache Mesos?	

• launch a Mesos cluster in the cloud	

• configure and run Spark on Mesos	

• run jobs in Spark	

• further resources…
Datacenter Computing	

Google has been doing datacenter computing for years, 

to address the complexities of large-scale data workflows:	


•
•

leveraging the modern kernel: isolation in lieu of VMs	


•

“most (>80%) jobs are batch jobs, but the majority 

of resources (55–80%) are allocated to service jobs”	


•
•
•

mixed workloads, multi-tenancy	


among the top 10 Linux kernel OSS contributors:
cgroups	


relatively high utilization rates	

JVM? not so much…	


!

take-aways: 

scheduling batch is not so difficult; 

scheduling services is hard+expensive
Google describes the business case…	

Taming Latency Variability

Jeff Dean

plus.google.com/u/0/+ResearchatGoogle/posts/C1dPhQhcDRv
“Return of the Borg”	

Return of the Borg: How Twitter Rebuilt Google’s Secret Weapon

Cade Metz

wired.com/wiredenterprise/2013/03/googleborg-twitter-mesos	

!

The Datacenter as a Computer: An Introduction 

to the Design of Warehouse-Scale Machines	

Luiz André Barroso, Urs Hölzle	

research.google.com/pubs/pub35290.html	

!
!

2011 GAFS Omega

John Wilkes, et al.

youtu.be/0ZFMlO98Jkc
Google describes the technology…	

Omega: flexible, scalable schedulers for large compute clusters	

Malte Schwarzkopf, Andy Konwinski, Michael Abd-El-Malek, John Wilkes	

eurosys2013.tudos.org/wp-content/uploads/2013/paper/
Schwarzkopf.pdf
Getting Started Running Apache Spark on Apache Mesos
Mesos – open source datacenter computing	

a common substrate for cluster computing	

mesos.apache.org	

heterogenous assets in your datacenter or cloud 

made available as a homogenous set of resources	


•
•
•
•
•
•
•
•

top-level Apache project	

scalability to 10,000s of nodes	

obviates the need for virtual machines	

isolation (pluggable) for CPU, RAM, I/O, FS, etc.	

fault-tolerant leader election based on Zookeeper	

APIs in C++, Java, Python, Go	

web UI for inspecting cluster state	

available for Linux, OpenSolaris, Mac OSX
Getting Started Running Apache Spark on Apache Mesos
Mesos – architecture	

services

batch

Workloads

Apps
Scalding

MPI

Impala

Hadoop

Shark

Spark

MySQL

Kafka

JBoss

Django

Chronos

Storm

Rails

Frameworks

Marathon

Kernel

distributed file system

distributed resources: CPU, RAM, I/O, FS, rack locality, etc.

DFS

Cluster
Mesos – architecture	

apps: HA services, web apps, batch
jobs, scripts, etc.

frameworks: Spark, Storm,
MPI, Jenkins, etc.

task schedulers: Chronos, etc.

meta-frameworks: Aurora, Marathon

APIs: C++, JVM, Py, Go

Mesos, distrib kernel

HDFS, distrib file system

Linux: libcgroup, libprocess, libev, etc.
Mesos – dynamics	


scheduled
apps

HA
services

distrib
frameworks

Marathon
distrib init.d

Mesos
distrib kernel

Chronos
distrib cron
Mesos – dynamics	


distributed
framework

Scheduler

Executor

Executor

Executor

Mesos
Mesos
slave
slave

Mesos
Mesos
slave
slave

Mesos
Mesos
slave
slave

resource
offers
Mesos
Mesos
master
master

available resources

distributed
kernel
Production Deployments (public)
Case Study: Twitter (bare metal / on premise)	

“Mesos is the cornerstone of our elastic compute infrastructure – 

it’s how we build all our new services and is critical for Twitter’s

continued success at scale. It's one of the primary keys to our

data center efficiency."	

Chris Fry, SVP Engineering	

!

blog.twitter.com/2013/mesos-graduates-from-apache-incubation	

wired.com/gadgetlab/2013/11/qa-with-chris-fry/	


•
•
•

key services run in production: analytics, typeahead, ads	


•

allows services to scale and leverage a shared pool of 

servers across datacenters efficiently	


•

reduces the time between prototyping and launching

Twitter engineers rely on Mesos to build all new services	

instead of thinking about static machines, engineers think 

about resources like CPU, memory and disk
Spark on Mesos, 2014-01-24	


• what is Apache Mesos?	

• launch a Mesos cluster in the cloud	

• configure and run Spark on Mesos	

• run jobs in Spark	

• further resources…
http://elastic.mesosphere.io

launch a Mesos cluster in the Amazon AWS 

cloud in three simple steps, given: 


•
•
•

AWS credentials	

SSH public key	

email address
Getting Started Running Apache Spark on Apache Mesos
Getting Started Running Apache Spark on Apache Mesos
Getting Started Running Apache Spark on Apache Mesos
Getting Started Running Apache Spark on Apache Mesos
Getting Started Running Apache Spark on Apache Mesos
Spark on Mesos, 2014-01-24	


• what is Apache Mesos?	

• launch a Mesos cluster in the cloud	

• configure and run Spark on Mesos	

• run jobs in Spark	

• further resources…
http://mesosphere.io/learn/run-spark-on-mesos/	


configure and run Spark on a Mesos 

cluster on AWS, in a seven-step tutorial…
Getting Started Running Apache Spark on Apache Mesos
Getting Started Running Apache Spark on Apache Mesos
Getting Started Running Apache Spark on Apache Mesos
step 1: ssh to master
ssh -l ubuntu <master>
step 2: install git, jdk-7
sudo aptitude -y install git!
sudo aptitude -y install openjdk-7-jdk
step 3: download spark
wget http://spark-project.org/download/spark-0.8.0-incubating-bin-cdh4.tgz!
tar xzf spark-0.8.0-incubating-bin-cdh4.tgz!
cd spark-0.8.0-incubating-bin-cdh4/
step 4: sbt clean assembly
SPARK_HADOOP_VERSION=2.0.0-mr1-cdh4.4.0 sbt/sbt clean assembly
step 5: make distro, cp to HDFS
./make-distribution.sh --hadoop 2.0.0-mr1-cdh4.4.0!
mv dist spark-0.8.0-2.0.0-mr1-cdh4.4.0!
tar czf spark-0.8.0-2.0.0-mr1-cdh4.4.0.tgz spark-0.8.0-2.0.0-mr1-cdh4.4.0!

!
hadoop fs -mkdir /tmp!
hadoop fs -put spark-0.8.0-2.0.0-mr1-cdh4.4.0.tgz /tmp
step 6: config env
cd conf/!
cp spark-env.sh.template spark-env.sh!
vim spark-env.sh!

!
export MESOS_NATIVE_LIBRARY=/usr/local/lib/libmesos.so!
export SPARK_EXECUTOR_URI=hdfs://<nn>/tmp/spark-0.8.0-2.0.0-mr1-cdh4.4.0.tgz!
export MASTER=zk://<master>:2181/mesos!

!
cat spark-env.sh!
cd ..!

!
./spark-shell
et voilà!
Spark on Mesos, 2014-01-24	


• what is Apache Mesos?	

• launch a Mesos cluster in the cloud	

• configure and run Spark on Mesos	

• run jobs in Spark	

• further resources…
http://spark.incubator.apache.org/examples.html	


run an example job in Spark, 

to filter an RDD of integers,	

in two steps at the REPL…
step 1: create an RDD
val data = 1 to 10000!
val distData = sc.parallelize(data)!

!
distData.filter(_< 10).collect()
step 2: run the filter
Getting Started Running Apache Spark on Apache Mesos
Getting Started Running Apache Spark on Apache Mesos
Getting Started Running Apache Spark on Apache Mesos
Getting Started Running Apache Spark on Apache Mesos
Getting Started Running Apache Spark on Apache Mesos
Spark on Mesos, 2014-01-24	


• what is Apache Mesos?	

• launch a Mesos cluster in the cloud	

• configure and run Spark on Mesos	

• run jobs in Spark	

• further resources…
Join us!	

!

O’Reilly Strata, Santa Clara

Feb 11-13

strataconf.com/strata2014

Mesos tutorial, Tue 2/11 1:30pm	

BOF lunch, Wed 2/12 12:10pm	

Mesos session, Thu 2/13 2:20pm	

office hours, Thu 2/13 3:15pm
More insights…	

!

Monthly newsletter for 

events, conf summaries, 

workshops, etc.:	

liber118.com/pxn/	

!

collected Mesos notes:	

goo.gl/jPtTP
Getting Started Running Apache Spark on Apache Mesos
Getting Started Running Apache Spark on Apache Mesos

More Related Content

What's hot

Big Data Day LA 2015 - Sparking up your Cassandra Cluster- Analytics made Awe...
Big Data Day LA 2015 - Sparking up your Cassandra Cluster- Analytics made Awe...Big Data Day LA 2015 - Sparking up your Cassandra Cluster- Analytics made Awe...
Big Data Day LA 2015 - Sparking up your Cassandra Cluster- Analytics made Awe...
Data Con LA
 
Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and S...
Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and S...Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and S...
Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and S...
Helena Edelson
 
Streaming Processing with a Distributed Commit Log
Streaming Processing with a Distributed Commit LogStreaming Processing with a Distributed Commit Log
Streaming Processing with a Distributed Commit Log
Joe Stein
 
Using the SDACK Architecture to Build a Big Data Product
Using the SDACK Architecture to Build a Big Data ProductUsing the SDACK Architecture to Build a Big Data Product
Using the SDACK Architecture to Build a Big Data Product
Evans Ye
 
Real-Time Log Analysis with Apache Mesos, Kafka and Cassandra
Real-Time Log Analysis with Apache Mesos, Kafka and CassandraReal-Time Log Analysis with Apache Mesos, Kafka and Cassandra
Real-Time Log Analysis with Apache Mesos, Kafka and Cassandra
Joe Stein
 
Vitalii Bondarenko HDinsight: spark. advanced in memory big-data analytics wi...
Vitalii Bondarenko HDinsight: spark. advanced in memory big-data analytics wi...Vitalii Bondarenko HDinsight: spark. advanced in memory big-data analytics wi...
Vitalii Bondarenko HDinsight: spark. advanced in memory big-data analytics wi...
Аліна Шепшелей
 
Akka in Production - ScalaDays 2015
Akka in Production - ScalaDays 2015Akka in Production - ScalaDays 2015
Akka in Production - ScalaDays 2015
Evan Chan
 
Productionizing Spark and the Spark Job Server
Productionizing Spark and the Spark Job ServerProductionizing Spark and the Spark Job Server
Productionizing Spark and the Spark Job Server
Evan Chan
 
Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...
Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...
Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...
Helena Edelson
 
Real-Time Anomaly Detection with Spark MLlib, Akka and Cassandra
Real-Time Anomaly Detection  with Spark MLlib, Akka and  CassandraReal-Time Anomaly Detection  with Spark MLlib, Akka and  Cassandra
Real-Time Anomaly Detection with Spark MLlib, Akka and Cassandra
Natalino Busa
 
Streaming Analytics with Spark, Kafka, Cassandra and Akka
Streaming Analytics with Spark, Kafka, Cassandra and AkkaStreaming Analytics with Spark, Kafka, Cassandra and Akka
Streaming Analytics with Spark, Kafka, Cassandra and Akka
Helena Edelson
 
Spark streaming , Spark SQL
Spark streaming , Spark SQLSpark streaming , Spark SQL
Spark streaming , Spark SQL
Yousun Jeong
 
Kafka spark cassandra webinar feb 16 2016
Kafka spark cassandra   webinar feb 16 2016 Kafka spark cassandra   webinar feb 16 2016
Kafka spark cassandra webinar feb 16 2016
Hiromitsu Komatsu
 
Building Data Product Based on Apache Spark at Airbnb with Jingwei Lu and Liy...
Building Data Product Based on Apache Spark at Airbnb with Jingwei Lu and Liy...Building Data Product Based on Apache Spark at Airbnb with Jingwei Lu and Liy...
Building Data Product Based on Apache Spark at Airbnb with Jingwei Lu and Liy...
Databricks
 
Analyzing Time Series Data with Apache Spark and Cassandra
Analyzing Time Series Data with Apache Spark and CassandraAnalyzing Time Series Data with Apache Spark and Cassandra
Analyzing Time Series Data with Apache Spark and Cassandra
Patrick McFadin
 
ETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetupETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetup
Rafal Kwasny
 
Modernizing Infrastructures for Fast Data with Spark, Kafka, Cassandra, React...
Modernizing Infrastructures for Fast Data with Spark, Kafka, Cassandra, React...Modernizing Infrastructures for Fast Data with Spark, Kafka, Cassandra, React...
Modernizing Infrastructures for Fast Data with Spark, Kafka, Cassandra, React...
Lightbend
 
Four Things to Know About Reliable Spark Streaming with Typesafe and Databricks
Four Things to Know About Reliable Spark Streaming with Typesafe and DatabricksFour Things to Know About Reliable Spark Streaming with Typesafe and Databricks
Four Things to Know About Reliable Spark Streaming with Typesafe and Databricks
Legacy Typesafe (now Lightbend)
 
Terraform Modules Restructured
Terraform Modules RestructuredTerraform Modules Restructured
Terraform Modules Restructured
DoiT International
 
Spark Community Update - Spark Summit San Francisco 2015
Spark Community Update - Spark Summit San Francisco 2015Spark Community Update - Spark Summit San Francisco 2015
Spark Community Update - Spark Summit San Francisco 2015
Databricks
 

What's hot (20)

Big Data Day LA 2015 - Sparking up your Cassandra Cluster- Analytics made Awe...
Big Data Day LA 2015 - Sparking up your Cassandra Cluster- Analytics made Awe...Big Data Day LA 2015 - Sparking up your Cassandra Cluster- Analytics made Awe...
Big Data Day LA 2015 - Sparking up your Cassandra Cluster- Analytics made Awe...
 
Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and S...
Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and S...Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and S...
Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and S...
 
Streaming Processing with a Distributed Commit Log
Streaming Processing with a Distributed Commit LogStreaming Processing with a Distributed Commit Log
Streaming Processing with a Distributed Commit Log
 
Using the SDACK Architecture to Build a Big Data Product
Using the SDACK Architecture to Build a Big Data ProductUsing the SDACK Architecture to Build a Big Data Product
Using the SDACK Architecture to Build a Big Data Product
 
Real-Time Log Analysis with Apache Mesos, Kafka and Cassandra
Real-Time Log Analysis with Apache Mesos, Kafka and CassandraReal-Time Log Analysis with Apache Mesos, Kafka and Cassandra
Real-Time Log Analysis with Apache Mesos, Kafka and Cassandra
 
Vitalii Bondarenko HDinsight: spark. advanced in memory big-data analytics wi...
Vitalii Bondarenko HDinsight: spark. advanced in memory big-data analytics wi...Vitalii Bondarenko HDinsight: spark. advanced in memory big-data analytics wi...
Vitalii Bondarenko HDinsight: spark. advanced in memory big-data analytics wi...
 
Akka in Production - ScalaDays 2015
Akka in Production - ScalaDays 2015Akka in Production - ScalaDays 2015
Akka in Production - ScalaDays 2015
 
Productionizing Spark and the Spark Job Server
Productionizing Spark and the Spark Job ServerProductionizing Spark and the Spark Job Server
Productionizing Spark and the Spark Job Server
 
Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...
Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...
Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spa...
 
Real-Time Anomaly Detection with Spark MLlib, Akka and Cassandra
Real-Time Anomaly Detection  with Spark MLlib, Akka and  CassandraReal-Time Anomaly Detection  with Spark MLlib, Akka and  Cassandra
Real-Time Anomaly Detection with Spark MLlib, Akka and Cassandra
 
Streaming Analytics with Spark, Kafka, Cassandra and Akka
Streaming Analytics with Spark, Kafka, Cassandra and AkkaStreaming Analytics with Spark, Kafka, Cassandra and Akka
Streaming Analytics with Spark, Kafka, Cassandra and Akka
 
Spark streaming , Spark SQL
Spark streaming , Spark SQLSpark streaming , Spark SQL
Spark streaming , Spark SQL
 
Kafka spark cassandra webinar feb 16 2016
Kafka spark cassandra   webinar feb 16 2016 Kafka spark cassandra   webinar feb 16 2016
Kafka spark cassandra webinar feb 16 2016
 
Building Data Product Based on Apache Spark at Airbnb with Jingwei Lu and Liy...
Building Data Product Based on Apache Spark at Airbnb with Jingwei Lu and Liy...Building Data Product Based on Apache Spark at Airbnb with Jingwei Lu and Liy...
Building Data Product Based on Apache Spark at Airbnb with Jingwei Lu and Liy...
 
Analyzing Time Series Data with Apache Spark and Cassandra
Analyzing Time Series Data with Apache Spark and CassandraAnalyzing Time Series Data with Apache Spark and Cassandra
Analyzing Time Series Data with Apache Spark and Cassandra
 
ETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetupETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetup
 
Modernizing Infrastructures for Fast Data with Spark, Kafka, Cassandra, React...
Modernizing Infrastructures for Fast Data with Spark, Kafka, Cassandra, React...Modernizing Infrastructures for Fast Data with Spark, Kafka, Cassandra, React...
Modernizing Infrastructures for Fast Data with Spark, Kafka, Cassandra, React...
 
Four Things to Know About Reliable Spark Streaming with Typesafe and Databricks
Four Things to Know About Reliable Spark Streaming with Typesafe and DatabricksFour Things to Know About Reliable Spark Streaming with Typesafe and Databricks
Four Things to Know About Reliable Spark Streaming with Typesafe and Databricks
 
Terraform Modules Restructured
Terraform Modules RestructuredTerraform Modules Restructured
Terraform Modules Restructured
 
Spark Community Update - Spark Summit San Francisco 2015
Spark Community Update - Spark Summit San Francisco 2015Spark Community Update - Spark Summit San Francisco 2015
Spark Community Update - Spark Summit San Francisco 2015
 

Viewers also liked

Building Distributed Systems from Scratch - Part 1
Building Distributed Systems from Scratch - Part 1Building Distributed Systems from Scratch - Part 1
Building Distributed Systems from Scratch - Part 1
datamantra
 
Building Distributed Systems in Scala
Building Distributed Systems in ScalaBuilding Distributed Systems in Scala
Building Distributed Systems in Scala
Alex Payne
 
Bring the Spark To Your Eyes
Bring the Spark To Your EyesBring the Spark To Your Eyes
Bring the Spark To Your Eyes
Demi Ben-Ari
 
Prediction as a service with ensemble model in SparkML and Python ScikitLearn
Prediction as a service with ensemble model in SparkML and Python ScikitLearnPrediction as a service with ensemble model in SparkML and Python ScikitLearn
Prediction as a service with ensemble model in SparkML and Python ScikitLearn
Josef A. Habdank
 
Unified Big Data Processing with Apache Spark (QCON 2014)
Unified Big Data Processing with Apache Spark (QCON 2014)Unified Big Data Processing with Apache Spark (QCON 2014)
Unified Big Data Processing with Apache Spark (QCON 2014)
Databricks
 
Apache spark - Installation
Apache spark - InstallationApache spark - Installation
Apache spark - Installation
Martin Zapletal
 
Cassandra Summit 2014: Apache Spark - The SDK for All Big Data Platforms
Cassandra Summit 2014: Apache Spark - The SDK for All Big Data PlatformsCassandra Summit 2014: Apache Spark - The SDK for All Big Data Platforms
Cassandra Summit 2014: Apache Spark - The SDK for All Big Data Platforms
DataStax Academy
 
Thing you didn't know you could do in Spark
Thing you didn't know you could do in SparkThing you didn't know you could do in Spark
Thing you didn't know you could do in Spark
SnappyData
 
Jenkins 2.0: Организуем тестирование в составе Continuous Delivery
Jenkins 2.0: Организуем тестирование в составе Continuous DeliveryJenkins 2.0: Организуем тестирование в составе Continuous Delivery
Jenkins 2.0: Организуем тестирование в составе Continuous Delivery
SQALab
 
Using Spark with Tachyon by Gene Pang
Using Spark with Tachyon by Gene PangUsing Spark with Tachyon by Gene Pang
Using Spark with Tachyon by Gene Pang
Spark Summit
 
CloudFoundry-summit-2015-a-look-back
CloudFoundry-summit-2015-a-look-backCloudFoundry-summit-2015-a-look-back
CloudFoundry-summit-2015-a-look-back
Krishna-Kumar
 
Databricks Meetup @ Los Angeles Apache Spark User Group
Databricks Meetup @ Los Angeles Apache Spark User GroupDatabricks Meetup @ Los Angeles Apache Spark User Group
Databricks Meetup @ Los Angeles Apache Spark User Group
Paco Nathan
 
Spark 101 - First steps to distributed computing
Spark 101 - First steps to distributed computingSpark 101 - First steps to distributed computing
Spark 101 - First steps to distributed computing
Demi Ben-Ari
 
Strata 2015 Data Preview: Spark, Data Visualization, YARN, and More
Strata 2015 Data Preview: Spark, Data Visualization, YARN, and MoreStrata 2015 Data Preview: Spark, Data Visualization, YARN, and More
Strata 2015 Data Preview: Spark, Data Visualization, YARN, and More
Paco Nathan
 
Global Big Data Conference Sept 2014 AWS Kinesis Spark Streaming Approximatio...
Global Big Data Conference Sept 2014 AWS Kinesis Spark Streaming Approximatio...Global Big Data Conference Sept 2014 AWS Kinesis Spark Streaming Approximatio...
Global Big Data Conference Sept 2014 AWS Kinesis Spark Streaming Approximatio...
Chris Fregly
 
Predictive modeling healthcare
Predictive modeling healthcarePredictive modeling healthcare
Predictive modeling healthcare
Taposh Roy
 
Building distributed processing system from scratch - Part 2
Building distributed processing system from scratch - Part 2Building distributed processing system from scratch - Part 2
Building distributed processing system from scratch - Part 2
datamantra
 
Ranking the Web with Spark
Ranking the Web with SparkRanking the Web with Spark
Ranking the Web with Spark
Sylvain Zimmer
 
Introduction to Structured Streaming
Introduction to Structured StreamingIntroduction to Structured Streaming
Introduction to Structured Streaming
datamantra
 
Keyboard covert channels
Keyboard covert channelsKeyboard covert channels
Keyboard covert channels
Freeman Zhang
 

Viewers also liked (20)

Building Distributed Systems from Scratch - Part 1
Building Distributed Systems from Scratch - Part 1Building Distributed Systems from Scratch - Part 1
Building Distributed Systems from Scratch - Part 1
 
Building Distributed Systems in Scala
Building Distributed Systems in ScalaBuilding Distributed Systems in Scala
Building Distributed Systems in Scala
 
Bring the Spark To Your Eyes
Bring the Spark To Your EyesBring the Spark To Your Eyes
Bring the Spark To Your Eyes
 
Prediction as a service with ensemble model in SparkML and Python ScikitLearn
Prediction as a service with ensemble model in SparkML and Python ScikitLearnPrediction as a service with ensemble model in SparkML and Python ScikitLearn
Prediction as a service with ensemble model in SparkML and Python ScikitLearn
 
Unified Big Data Processing with Apache Spark (QCON 2014)
Unified Big Data Processing with Apache Spark (QCON 2014)Unified Big Data Processing with Apache Spark (QCON 2014)
Unified Big Data Processing with Apache Spark (QCON 2014)
 
Apache spark - Installation
Apache spark - InstallationApache spark - Installation
Apache spark - Installation
 
Cassandra Summit 2014: Apache Spark - The SDK for All Big Data Platforms
Cassandra Summit 2014: Apache Spark - The SDK for All Big Data PlatformsCassandra Summit 2014: Apache Spark - The SDK for All Big Data Platforms
Cassandra Summit 2014: Apache Spark - The SDK for All Big Data Platforms
 
Thing you didn't know you could do in Spark
Thing you didn't know you could do in SparkThing you didn't know you could do in Spark
Thing you didn't know you could do in Spark
 
Jenkins 2.0: Организуем тестирование в составе Continuous Delivery
Jenkins 2.0: Организуем тестирование в составе Continuous DeliveryJenkins 2.0: Организуем тестирование в составе Continuous Delivery
Jenkins 2.0: Организуем тестирование в составе Continuous Delivery
 
Using Spark with Tachyon by Gene Pang
Using Spark with Tachyon by Gene PangUsing Spark with Tachyon by Gene Pang
Using Spark with Tachyon by Gene Pang
 
CloudFoundry-summit-2015-a-look-back
CloudFoundry-summit-2015-a-look-backCloudFoundry-summit-2015-a-look-back
CloudFoundry-summit-2015-a-look-back
 
Databricks Meetup @ Los Angeles Apache Spark User Group
Databricks Meetup @ Los Angeles Apache Spark User GroupDatabricks Meetup @ Los Angeles Apache Spark User Group
Databricks Meetup @ Los Angeles Apache Spark User Group
 
Spark 101 - First steps to distributed computing
Spark 101 - First steps to distributed computingSpark 101 - First steps to distributed computing
Spark 101 - First steps to distributed computing
 
Strata 2015 Data Preview: Spark, Data Visualization, YARN, and More
Strata 2015 Data Preview: Spark, Data Visualization, YARN, and MoreStrata 2015 Data Preview: Spark, Data Visualization, YARN, and More
Strata 2015 Data Preview: Spark, Data Visualization, YARN, and More
 
Global Big Data Conference Sept 2014 AWS Kinesis Spark Streaming Approximatio...
Global Big Data Conference Sept 2014 AWS Kinesis Spark Streaming Approximatio...Global Big Data Conference Sept 2014 AWS Kinesis Spark Streaming Approximatio...
Global Big Data Conference Sept 2014 AWS Kinesis Spark Streaming Approximatio...
 
Predictive modeling healthcare
Predictive modeling healthcarePredictive modeling healthcare
Predictive modeling healthcare
 
Building distributed processing system from scratch - Part 2
Building distributed processing system from scratch - Part 2Building distributed processing system from scratch - Part 2
Building distributed processing system from scratch - Part 2
 
Ranking the Web with Spark
Ranking the Web with SparkRanking the Web with Spark
Ranking the Web with Spark
 
Introduction to Structured Streaming
Introduction to Structured StreamingIntroduction to Structured Streaming
Introduction to Structured Streaming
 
Keyboard covert channels
Keyboard covert channelsKeyboard covert channels
Keyboard covert channels
 

Similar to Getting Started Running Apache Spark on Apache Mesos

Datacenter Computing with Apache Mesos - BigData DC
Datacenter Computing with Apache Mesos - BigData DCDatacenter Computing with Apache Mesos - BigData DC
Datacenter Computing with Apache Mesos - BigData DC
Paco Nathan
 
Fully fault tolerant real time data pipeline with docker and mesos
Fully fault tolerant real time data pipeline with docker and mesos Fully fault tolerant real time data pipeline with docker and mesos
Fully fault tolerant real time data pipeline with docker and mesos
Rahul Kumar
 
Containerized Data Persistence on Mesos
Containerized Data Persistence on MesosContainerized Data Persistence on Mesos
Containerized Data Persistence on Mesos
Joe Stein
 
Extending DevOps to Big Data Applications with Kubernetes
Extending DevOps to Big Data Applications with KubernetesExtending DevOps to Big Data Applications with Kubernetes
Extending DevOps to Big Data Applications with Kubernetes
Nicola Ferraro
 
Beyond static configuration
Beyond static configurationBeyond static configuration
Beyond static configuration
Stefan Schimanski
 
DockerCon14 Cluster Management and Containerization
DockerCon14 Cluster Management and ContainerizationDockerCon14 Cluster Management and Containerization
DockerCon14 Cluster Management and Containerization
Docker, Inc.
 
Mesos on coreOS
Mesos on coreOSMesos on coreOS
Mesos on coreOS
충섭 김
 
Spark application on ec2 cluster
Spark application on ec2 clusterSpark application on ec2 cluster
Spark application on ec2 cluster
Chao-Hsuan Shen
 
Docker-v3.pdf
Docker-v3.pdfDocker-v3.pdf
Docker-v3.pdf
Bruno Cornec
 
Fully Fault tolerant Streaming Workflows at Scale using Apache Mesos & Spark ...
Fully Fault tolerant Streaming Workflows at Scale using Apache Mesos & Spark ...Fully Fault tolerant Streaming Workflows at Scale using Apache Mesos & Spark ...
Fully Fault tolerant Streaming Workflows at Scale using Apache Mesos & Spark ...
Akhil Das
 
DR_PRESENT 1
DR_PRESENT 1DR_PRESENT 1
DR_PRESENT 1
Ahmed Salman
 
Midwest php 2013 deploying php on paas- why & how
Midwest php 2013   deploying php on paas- why & howMidwest php 2013   deploying php on paas- why & how
Midwest php 2013 deploying php on paas- why & how
dotCloud
 
How we dockerized a startup? #meetup #docker
How we dockerized a startup? #meetup #docker How we dockerized a startup? #meetup #docker
How we dockerized a startup? #meetup #docker
Jonathan Martin
 
Apache Mesos at Twitter (Texas LinuxFest 2014)
Apache Mesos at Twitter (Texas LinuxFest 2014)Apache Mesos at Twitter (Texas LinuxFest 2014)
Apache Mesos at Twitter (Texas LinuxFest 2014)
Chris Aniszczyk
 
Kubernetes for the PHP developer
Kubernetes for the PHP developerKubernetes for the PHP developer
Kubernetes for the PHP developer
Paul Czarkowski
 
Strata SC 2014: Apache Mesos as an SDK for Building Distributed Frameworks
Strata SC 2014: Apache Mesos as an SDK for Building Distributed FrameworksStrata SC 2014: Apache Mesos as an SDK for Building Distributed Frameworks
Strata SC 2014: Apache Mesos as an SDK for Building Distributed Frameworks
Paco Nathan
 
Bhushan m dev_ops_engr_31june
Bhushan m dev_ops_engr_31juneBhushan m dev_ops_engr_31june
Bhushan m dev_ops_engr_31june
Bhushan Mahajan
 
Datacenter Computing with Apache Mesos - シリコンバレー日本人駐在員Meetup
Datacenter Computing with Apache Mesos - シリコンバレー日本人駐在員MeetupDatacenter Computing with Apache Mesos - シリコンバレー日本人駐在員Meetup
Datacenter Computing with Apache Mesos - シリコンバレー日本人駐在員Meetup
Paco Nathan
 
Leonid Vasilyev "Building, deploying and running production code at Dropbox"
Leonid Vasilyev  "Building, deploying and running production code at Dropbox"Leonid Vasilyev  "Building, deploying and running production code at Dropbox"
Leonid Vasilyev "Building, deploying and running production code at Dropbox"
IT Event
 
OSDC 2015: Bernd Mathiske | Why the Datacenter Needs an Operating System
OSDC 2015: Bernd Mathiske | Why the Datacenter Needs an Operating SystemOSDC 2015: Bernd Mathiske | Why the Datacenter Needs an Operating System
OSDC 2015: Bernd Mathiske | Why the Datacenter Needs an Operating System
NETWAYS
 

Similar to Getting Started Running Apache Spark on Apache Mesos (20)

Datacenter Computing with Apache Mesos - BigData DC
Datacenter Computing with Apache Mesos - BigData DCDatacenter Computing with Apache Mesos - BigData DC
Datacenter Computing with Apache Mesos - BigData DC
 
Fully fault tolerant real time data pipeline with docker and mesos
Fully fault tolerant real time data pipeline with docker and mesos Fully fault tolerant real time data pipeline with docker and mesos
Fully fault tolerant real time data pipeline with docker and mesos
 
Containerized Data Persistence on Mesos
Containerized Data Persistence on MesosContainerized Data Persistence on Mesos
Containerized Data Persistence on Mesos
 
Extending DevOps to Big Data Applications with Kubernetes
Extending DevOps to Big Data Applications with KubernetesExtending DevOps to Big Data Applications with Kubernetes
Extending DevOps to Big Data Applications with Kubernetes
 
Beyond static configuration
Beyond static configurationBeyond static configuration
Beyond static configuration
 
DockerCon14 Cluster Management and Containerization
DockerCon14 Cluster Management and ContainerizationDockerCon14 Cluster Management and Containerization
DockerCon14 Cluster Management and Containerization
 
Mesos on coreOS
Mesos on coreOSMesos on coreOS
Mesos on coreOS
 
Spark application on ec2 cluster
Spark application on ec2 clusterSpark application on ec2 cluster
Spark application on ec2 cluster
 
Docker-v3.pdf
Docker-v3.pdfDocker-v3.pdf
Docker-v3.pdf
 
Fully Fault tolerant Streaming Workflows at Scale using Apache Mesos & Spark ...
Fully Fault tolerant Streaming Workflows at Scale using Apache Mesos & Spark ...Fully Fault tolerant Streaming Workflows at Scale using Apache Mesos & Spark ...
Fully Fault tolerant Streaming Workflows at Scale using Apache Mesos & Spark ...
 
DR_PRESENT 1
DR_PRESENT 1DR_PRESENT 1
DR_PRESENT 1
 
Midwest php 2013 deploying php on paas- why & how
Midwest php 2013   deploying php on paas- why & howMidwest php 2013   deploying php on paas- why & how
Midwest php 2013 deploying php on paas- why & how
 
How we dockerized a startup? #meetup #docker
How we dockerized a startup? #meetup #docker How we dockerized a startup? #meetup #docker
How we dockerized a startup? #meetup #docker
 
Apache Mesos at Twitter (Texas LinuxFest 2014)
Apache Mesos at Twitter (Texas LinuxFest 2014)Apache Mesos at Twitter (Texas LinuxFest 2014)
Apache Mesos at Twitter (Texas LinuxFest 2014)
 
Kubernetes for the PHP developer
Kubernetes for the PHP developerKubernetes for the PHP developer
Kubernetes for the PHP developer
 
Strata SC 2014: Apache Mesos as an SDK for Building Distributed Frameworks
Strata SC 2014: Apache Mesos as an SDK for Building Distributed FrameworksStrata SC 2014: Apache Mesos as an SDK for Building Distributed Frameworks
Strata SC 2014: Apache Mesos as an SDK for Building Distributed Frameworks
 
Bhushan m dev_ops_engr_31june
Bhushan m dev_ops_engr_31juneBhushan m dev_ops_engr_31june
Bhushan m dev_ops_engr_31june
 
Datacenter Computing with Apache Mesos - シリコンバレー日本人駐在員Meetup
Datacenter Computing with Apache Mesos - シリコンバレー日本人駐在員MeetupDatacenter Computing with Apache Mesos - シリコンバレー日本人駐在員Meetup
Datacenter Computing with Apache Mesos - シリコンバレー日本人駐在員Meetup
 
Leonid Vasilyev "Building, deploying and running production code at Dropbox"
Leonid Vasilyev  "Building, deploying and running production code at Dropbox"Leonid Vasilyev  "Building, deploying and running production code at Dropbox"
Leonid Vasilyev "Building, deploying and running production code at Dropbox"
 
OSDC 2015: Bernd Mathiske | Why the Datacenter Needs an Operating System
OSDC 2015: Bernd Mathiske | Why the Datacenter Needs an Operating SystemOSDC 2015: Bernd Mathiske | Why the Datacenter Needs an Operating System
OSDC 2015: Bernd Mathiske | Why the Datacenter Needs an Operating System
 

More from Paco Nathan

Human in the loop: a design pattern for managing teams working with ML
Human in the loop: a design pattern for managing  teams working with MLHuman in the loop: a design pattern for managing  teams working with ML
Human in the loop: a design pattern for managing teams working with ML
Paco Nathan
 
Human-in-the-loop: a design pattern for managing teams that leverage ML
Human-in-the-loop: a design pattern for managing teams that leverage MLHuman-in-the-loop: a design pattern for managing teams that leverage ML
Human-in-the-loop: a design pattern for managing teams that leverage ML
Paco Nathan
 
Human-in-a-loop: a design pattern for managing teams which leverage ML
Human-in-a-loop: a design pattern for managing teams which leverage MLHuman-in-a-loop: a design pattern for managing teams which leverage ML
Human-in-a-loop: a design pattern for managing teams which leverage ML
Paco Nathan
 
Humans in a loop: Jupyter notebooks as a front-end for AI
Humans in a loop: Jupyter notebooks as a front-end for AIHumans in a loop: Jupyter notebooks as a front-end for AI
Humans in a loop: Jupyter notebooks as a front-end for AI
Paco Nathan
 
Humans in the loop: AI in open source and industry
Humans in the loop: AI in open source and industryHumans in the loop: AI in open source and industry
Humans in the loop: AI in open source and industry
Paco Nathan
 
Computable Content
Computable ContentComputable Content
Computable Content
Paco Nathan
 
Computable Content: Lessons Learned
Computable Content: Lessons LearnedComputable Content: Lessons Learned
Computable Content: Lessons Learned
Paco Nathan
 
SF Python Meetup: TextRank in Python
SF Python Meetup: TextRank in PythonSF Python Meetup: TextRank in Python
SF Python Meetup: TextRank in Python
Paco Nathan
 
Use of standards and related issues in predictive analytics
Use of standards and related issues in predictive analyticsUse of standards and related issues in predictive analytics
Use of standards and related issues in predictive analytics
Paco Nathan
 
Data Science in 2016: Moving Up
Data Science in 2016: Moving UpData Science in 2016: Moving Up
Data Science in 2016: Moving Up
Paco Nathan
 
Data Science Reinvents Learning?
Data Science Reinvents Learning?Data Science Reinvents Learning?
Data Science Reinvents Learning?
Paco Nathan
 
Jupyter for Education: Beyond Gutenberg and Erasmus
Jupyter for Education: Beyond Gutenberg and ErasmusJupyter for Education: Beyond Gutenberg and Erasmus
Jupyter for Education: Beyond Gutenberg and Erasmus
Paco Nathan
 
GalvanizeU Seattle: Eleven Almost-Truisms About Data
GalvanizeU Seattle: Eleven Almost-Truisms About DataGalvanizeU Seattle: Eleven Almost-Truisms About Data
GalvanizeU Seattle: Eleven Almost-Truisms About Data
Paco Nathan
 
Microservices, containers, and machine learning
Microservices, containers, and machine learningMicroservices, containers, and machine learning
Microservices, containers, and machine learning
Paco Nathan
 
GraphX: Graph analytics for insights about developer communities
GraphX: Graph analytics for insights about developer communitiesGraphX: Graph analytics for insights about developer communities
GraphX: Graph analytics for insights about developer communities
Paco Nathan
 
Graph Analytics in Spark
Graph Analytics in SparkGraph Analytics in Spark
Graph Analytics in Spark
Paco Nathan
 
Apache Spark and the Emerging Technology Landscape for Big Data
Apache Spark and the Emerging Technology Landscape for Big DataApache Spark and the Emerging Technology Landscape for Big Data
Apache Spark and the Emerging Technology Landscape for Big Data
Paco Nathan
 
QCon São Paulo: Real-Time Analytics with Spark Streaming
QCon São Paulo: Real-Time Analytics with Spark StreamingQCon São Paulo: Real-Time Analytics with Spark Streaming
QCon São Paulo: Real-Time Analytics with Spark Streaming
Paco Nathan
 
A New Year in Data Science: ML Unpaused
A New Year in Data Science: ML UnpausedA New Year in Data Science: ML Unpaused
A New Year in Data Science: ML Unpaused
Paco Nathan
 
Microservices, Containers, and Machine Learning
Microservices, Containers, and Machine LearningMicroservices, Containers, and Machine Learning
Microservices, Containers, and Machine Learning
Paco Nathan
 

More from Paco Nathan (20)

Human in the loop: a design pattern for managing teams working with ML
Human in the loop: a design pattern for managing  teams working with MLHuman in the loop: a design pattern for managing  teams working with ML
Human in the loop: a design pattern for managing teams working with ML
 
Human-in-the-loop: a design pattern for managing teams that leverage ML
Human-in-the-loop: a design pattern for managing teams that leverage MLHuman-in-the-loop: a design pattern for managing teams that leverage ML
Human-in-the-loop: a design pattern for managing teams that leverage ML
 
Human-in-a-loop: a design pattern for managing teams which leverage ML
Human-in-a-loop: a design pattern for managing teams which leverage MLHuman-in-a-loop: a design pattern for managing teams which leverage ML
Human-in-a-loop: a design pattern for managing teams which leverage ML
 
Humans in a loop: Jupyter notebooks as a front-end for AI
Humans in a loop: Jupyter notebooks as a front-end for AIHumans in a loop: Jupyter notebooks as a front-end for AI
Humans in a loop: Jupyter notebooks as a front-end for AI
 
Humans in the loop: AI in open source and industry
Humans in the loop: AI in open source and industryHumans in the loop: AI in open source and industry
Humans in the loop: AI in open source and industry
 
Computable Content
Computable ContentComputable Content
Computable Content
 
Computable Content: Lessons Learned
Computable Content: Lessons LearnedComputable Content: Lessons Learned
Computable Content: Lessons Learned
 
SF Python Meetup: TextRank in Python
SF Python Meetup: TextRank in PythonSF Python Meetup: TextRank in Python
SF Python Meetup: TextRank in Python
 
Use of standards and related issues in predictive analytics
Use of standards and related issues in predictive analyticsUse of standards and related issues in predictive analytics
Use of standards and related issues in predictive analytics
 
Data Science in 2016: Moving Up
Data Science in 2016: Moving UpData Science in 2016: Moving Up
Data Science in 2016: Moving Up
 
Data Science Reinvents Learning?
Data Science Reinvents Learning?Data Science Reinvents Learning?
Data Science Reinvents Learning?
 
Jupyter for Education: Beyond Gutenberg and Erasmus
Jupyter for Education: Beyond Gutenberg and ErasmusJupyter for Education: Beyond Gutenberg and Erasmus
Jupyter for Education: Beyond Gutenberg and Erasmus
 
GalvanizeU Seattle: Eleven Almost-Truisms About Data
GalvanizeU Seattle: Eleven Almost-Truisms About DataGalvanizeU Seattle: Eleven Almost-Truisms About Data
GalvanizeU Seattle: Eleven Almost-Truisms About Data
 
Microservices, containers, and machine learning
Microservices, containers, and machine learningMicroservices, containers, and machine learning
Microservices, containers, and machine learning
 
GraphX: Graph analytics for insights about developer communities
GraphX: Graph analytics for insights about developer communitiesGraphX: Graph analytics for insights about developer communities
GraphX: Graph analytics for insights about developer communities
 
Graph Analytics in Spark
Graph Analytics in SparkGraph Analytics in Spark
Graph Analytics in Spark
 
Apache Spark and the Emerging Technology Landscape for Big Data
Apache Spark and the Emerging Technology Landscape for Big DataApache Spark and the Emerging Technology Landscape for Big Data
Apache Spark and the Emerging Technology Landscape for Big Data
 
QCon São Paulo: Real-Time Analytics with Spark Streaming
QCon São Paulo: Real-Time Analytics with Spark StreamingQCon São Paulo: Real-Time Analytics with Spark Streaming
QCon São Paulo: Real-Time Analytics with Spark Streaming
 
A New Year in Data Science: ML Unpaused
A New Year in Data Science: ML UnpausedA New Year in Data Science: ML Unpaused
A New Year in Data Science: ML Unpaused
 
Microservices, Containers, and Machine Learning
Microservices, Containers, and Machine LearningMicroservices, Containers, and Machine Learning
Microservices, Containers, and Machine Learning
 

Recently uploaded

Feature sql server terbaru performance.pptx
Feature sql server terbaru performance.pptxFeature sql server terbaru performance.pptx
Feature sql server terbaru performance.pptx
ssuser1915fe1
 
CHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSE
CHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSECHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSE
CHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSE
kumarjarun2010
 
The Role of IoT in Australian Mobile App Development - PDF Guide
The Role of IoT in Australian Mobile App Development - PDF GuideThe Role of IoT in Australian Mobile App Development - PDF Guide
The Role of IoT in Australian Mobile App Development - PDF Guide
Shiv Technolabs
 
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyyActive Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
RaminGhanbari2
 
Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...
Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...
Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...
maigasapphire
 
(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf
(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf
(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf
Priyanka Aash
 
CiscoIconsLibrary cours de réseau VLAN.ppt
CiscoIconsLibrary cours de réseau VLAN.pptCiscoIconsLibrary cours de réseau VLAN.ppt
CiscoIconsLibrary cours de réseau VLAN.ppt
moinahousna
 
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
Priyanka Aash
 
WhatsApp Spy Online Trackers and Monitoring Apps
WhatsApp Spy Online Trackers and Monitoring AppsWhatsApp Spy Online Trackers and Monitoring Apps
WhatsApp Spy Online Trackers and Monitoring Apps
HackersList
 
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...leewayhertz.com-AI agents for healthcare Applications benefits and implementa...
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...
alexjohnson7307
 
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
bhumivarma35300
 
Data Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining DataData Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining Data
Safe Software
 
BLOCKCHAIN TECHNOLOGY - Advantages and Disadvantages
BLOCKCHAIN TECHNOLOGY - Advantages and DisadvantagesBLOCKCHAIN TECHNOLOGY - Advantages and Disadvantages
BLOCKCHAIN TECHNOLOGY - Advantages and Disadvantages
SAI KAILASH R
 
Litestack talk at Brighton 2024 (Unleashing the power of SQLite for Ruby apps)
Litestack talk at Brighton 2024 (Unleashing the power of SQLite for Ruby apps)Litestack talk at Brighton 2024 (Unleashing the power of SQLite for Ruby apps)
Litestack talk at Brighton 2024 (Unleashing the power of SQLite for Ruby apps)
Muhammad Ali
 
Google I/O Extended Harare Merged Slides
Google I/O Extended Harare Merged SlidesGoogle I/O Extended Harare Merged Slides
Google I/O Extended Harare Merged Slides
Google Developer Group - Harare
 
EuroPython 2024 - Streamlining Testing in a Large Python Codebase
EuroPython 2024 - Streamlining Testing in a Large Python CodebaseEuroPython 2024 - Streamlining Testing in a Large Python Codebase
EuroPython 2024 - Streamlining Testing in a Large Python Codebase
Jimmy Lai
 
Opencast Summit 2024 — Opencast @ University of Münster
Opencast Summit 2024 — Opencast @ University of MünsterOpencast Summit 2024 — Opencast @ University of Münster
Opencast Summit 2024 — Opencast @ University of Münster
Matthias Neugebauer
 
[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf
[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf
[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf
Kief Morris
 
How Social Media Hackers Help You to See Your Wife's Message.pdf
How Social Media Hackers Help You to See Your Wife's Message.pdfHow Social Media Hackers Help You to See Your Wife's Message.pdf
How Social Media Hackers Help You to See Your Wife's Message.pdf
HackersList
 
Evolution of iPaaS - simplify IT workloads to provide a unified view of data...
Evolution of iPaaS - simplify IT workloads to provide a unified view of  data...Evolution of iPaaS - simplify IT workloads to provide a unified view of  data...
Evolution of iPaaS - simplify IT workloads to provide a unified view of data...
Torry Harris
 

Recently uploaded (20)

Feature sql server terbaru performance.pptx
Feature sql server terbaru performance.pptxFeature sql server terbaru performance.pptx
Feature sql server terbaru performance.pptx
 
CHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSE
CHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSECHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSE
CHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSE
 
The Role of IoT in Australian Mobile App Development - PDF Guide
The Role of IoT in Australian Mobile App Development - PDF GuideThe Role of IoT in Australian Mobile App Development - PDF Guide
The Role of IoT in Australian Mobile App Development - PDF Guide
 
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyyActive Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
 
Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...
Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...
Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...
 
(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf
(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf
(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf
 
CiscoIconsLibrary cours de réseau VLAN.ppt
CiscoIconsLibrary cours de réseau VLAN.pptCiscoIconsLibrary cours de réseau VLAN.ppt
CiscoIconsLibrary cours de réseau VLAN.ppt
 
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
 
WhatsApp Spy Online Trackers and Monitoring Apps
WhatsApp Spy Online Trackers and Monitoring AppsWhatsApp Spy Online Trackers and Monitoring Apps
WhatsApp Spy Online Trackers and Monitoring Apps
 
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...leewayhertz.com-AI agents for healthcare Applications benefits and implementa...
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...
 
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
 
Data Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining DataData Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining Data
 
BLOCKCHAIN TECHNOLOGY - Advantages and Disadvantages
BLOCKCHAIN TECHNOLOGY - Advantages and DisadvantagesBLOCKCHAIN TECHNOLOGY - Advantages and Disadvantages
BLOCKCHAIN TECHNOLOGY - Advantages and Disadvantages
 
Litestack talk at Brighton 2024 (Unleashing the power of SQLite for Ruby apps)
Litestack talk at Brighton 2024 (Unleashing the power of SQLite for Ruby apps)Litestack talk at Brighton 2024 (Unleashing the power of SQLite for Ruby apps)
Litestack talk at Brighton 2024 (Unleashing the power of SQLite for Ruby apps)
 
Google I/O Extended Harare Merged Slides
Google I/O Extended Harare Merged SlidesGoogle I/O Extended Harare Merged Slides
Google I/O Extended Harare Merged Slides
 
EuroPython 2024 - Streamlining Testing in a Large Python Codebase
EuroPython 2024 - Streamlining Testing in a Large Python CodebaseEuroPython 2024 - Streamlining Testing in a Large Python Codebase
EuroPython 2024 - Streamlining Testing in a Large Python Codebase
 
Opencast Summit 2024 — Opencast @ University of Münster
Opencast Summit 2024 — Opencast @ University of MünsterOpencast Summit 2024 — Opencast @ University of Münster
Opencast Summit 2024 — Opencast @ University of Münster
 
[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf
[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf
[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf
 
How Social Media Hackers Help You to See Your Wife's Message.pdf
How Social Media Hackers Help You to See Your Wife's Message.pdfHow Social Media Hackers Help You to See Your Wife's Message.pdf
How Social Media Hackers Help You to See Your Wife's Message.pdf
 
Evolution of iPaaS - simplify IT workloads to provide a unified view of data...
Evolution of iPaaS - simplify IT workloads to provide a unified view of  data...Evolution of iPaaS - simplify IT workloads to provide a unified view of  data...
Evolution of iPaaS - simplify IT workloads to provide a unified view of data...
 

Getting Started Running Apache Spark on Apache Mesos