SlideShare une entreprise Scribd logo
1  sur  15
Télécharger pour lire hors ligne
Apache Toree:
A Jupyter Kernel for Spark
Marius van Niekerk
Apache Toree Contributor
Apache Toree
A Jupyter kernel to connect to Spark and create
interactive applications
Ecosystem
Jupyter
• Open source, interactive data science
and scientific computing across over
40 programming languages.
• Toree is an implementation of the
Jupyter Kernel Protocol
Apache Toree History
• Started as ibm/spark-kernel in 2013
• Started Apache incubation in late 2015
• First Apache Releaseis coming soon.
Notebooks Dashboards NodeJS
Application
Jupyter
Toree Toree Toree
Kernel
Gateway
EclairJS
Toree
Interactive
Application
Compatibility
• Toree 0.1.x supports Spark 1.6.x
• Toree 0.2.x supports Spark 2.x
Features
• Kernel languages: Scala, Python, R
• Magics
• Tab completion
• Plugin system
Try it out
• Welcome to Spark with Scala:
– https://tmpnb.org
• Docker
– docker run -it --rm -p 8888:8888 
jupyter/all-spark-notebook
– This is a very large container ~4gb
Examples
• github.com/Lull3rSkat3r/apache-toree-demos
• github.com/apache/incubator-
toree/tree/master/etc/examples/notebooks
Extending on top of Toree
• github.com/Brunel-Visualization/Brunel
• github.com/jupyter/declarativewidgets
Other Alternatives
• sparkmagic (livy)
• jupyter-scala
• Apache Zeppelin
• spylon-kernel
• databricks
Help out
Looking for contributors
l Web - toree.apache.org
l Mailing - dev@toree.incubator.apache.org
l Chat - gitter.im/apache/toree
Thank You.
Github: @mariusvniekerk
Twitter: @__mvn__

Contenu connexe

Tendances

Apache Sparkにおけるメモリ - アプリケーションを落とさないメモリ設計手法 -
Apache Sparkにおけるメモリ - アプリケーションを落とさないメモリ設計手法 -Apache Sparkにおけるメモリ - アプリケーションを落とさないメモリ設計手法 -
Apache Sparkにおけるメモリ - アプリケーションを落とさないメモリ設計手法 -Yoshiyasu SAEKI
 
Scale your Alfresco Solutions
Scale your Alfresco Solutions Scale your Alfresco Solutions
Scale your Alfresco Solutions Alfresco Software
 
Comparison of ACFS and DBFS
Comparison of ACFS and DBFSComparison of ACFS and DBFS
Comparison of ACFS and DBFSDanielHillinger
 
Memory Management in Apache Spark
Memory Management in Apache SparkMemory Management in Apache Spark
Memory Management in Apache SparkDatabricks
 
Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...
Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...
Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...HostedbyConfluent
 
Indexing Strategies for Oracle Databases - Beyond the Create Index Statement
Indexing Strategies for Oracle Databases - Beyond the Create Index StatementIndexing Strategies for Oracle Databases - Beyond the Create Index Statement
Indexing Strategies for Oracle Databases - Beyond the Create Index StatementSean Scott
 
Apache Tez: Accelerating Hadoop Query Processing
Apache Tez: Accelerating Hadoop Query Processing Apache Tez: Accelerating Hadoop Query Processing
Apache Tez: Accelerating Hadoop Query Processing DataWorks Summit
 
Understanding Query Plans and Spark UIs
Understanding Query Plans and Spark UIsUnderstanding Query Plans and Spark UIs
Understanding Query Plans and Spark UIsDatabricks
 
Apache Spark on Kubernetes Anirudh Ramanathan and Tim Chen
Apache Spark on Kubernetes Anirudh Ramanathan and Tim ChenApache Spark on Kubernetes Anirudh Ramanathan and Tim Chen
Apache Spark on Kubernetes Anirudh Ramanathan and Tim ChenDatabricks
 
Ozone: scaling HDFS to trillions of objects
Ozone: scaling HDFS to trillions of objectsOzone: scaling HDFS to trillions of objects
Ozone: scaling HDFS to trillions of objectsDataWorks Summit
 
Apache Spark At Scale in the Cloud
Apache Spark At Scale in the CloudApache Spark At Scale in the Cloud
Apache Spark At Scale in the CloudDatabricks
 
Designing ETL Pipelines with Structured Streaming and Delta Lake—How to Archi...
Designing ETL Pipelines with Structured Streaming and Delta Lake—How to Archi...Designing ETL Pipelines with Structured Streaming and Delta Lake—How to Archi...
Designing ETL Pipelines with Structured Streaming and Delta Lake—How to Archi...Databricks
 
Kafka vs Pulsar @KafkaMeetup_20180316
Kafka vs Pulsar @KafkaMeetup_20180316Kafka vs Pulsar @KafkaMeetup_20180316
Kafka vs Pulsar @KafkaMeetup_20180316Nozomi Kurihara
 
Spark performance tuning - Maksud Ibrahimov
Spark performance tuning - Maksud IbrahimovSpark performance tuning - Maksud Ibrahimov
Spark performance tuning - Maksud IbrahimovMaksud Ibrahimov
 
Examining Oracle GoldenGate Trail Files
Examining Oracle GoldenGate Trail FilesExamining Oracle GoldenGate Trail Files
Examining Oracle GoldenGate Trail FilesBobby Curtis
 
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...StreamNative
 
Oracle Client Failover - Under The Hood
Oracle Client Failover - Under The HoodOracle Client Failover - Under The Hood
Oracle Client Failover - Under The HoodLudovico Caldara
 
Dynamically Scaling Data Streams across Multiple Kafka Clusters with Zero Fli...
Dynamically Scaling Data Streams across Multiple Kafka Clusters with Zero Fli...Dynamically Scaling Data Streams across Multiple Kafka Clusters with Zero Fli...
Dynamically Scaling Data Streams across Multiple Kafka Clusters with Zero Fli...Flink Forward
 

Tendances (20)

Apache Sparkにおけるメモリ - アプリケーションを落とさないメモリ設計手法 -
Apache Sparkにおけるメモリ - アプリケーションを落とさないメモリ設計手法 -Apache Sparkにおけるメモリ - アプリケーションを落とさないメモリ設計手法 -
Apache Sparkにおけるメモリ - アプリケーションを落とさないメモリ設計手法 -
 
Scale your Alfresco Solutions
Scale your Alfresco Solutions Scale your Alfresco Solutions
Scale your Alfresco Solutions
 
HBase Storage Internals
HBase Storage InternalsHBase Storage Internals
HBase Storage Internals
 
Comparison of ACFS and DBFS
Comparison of ACFS and DBFSComparison of ACFS and DBFS
Comparison of ACFS and DBFS
 
Memory Management in Apache Spark
Memory Management in Apache SparkMemory Management in Apache Spark
Memory Management in Apache Spark
 
Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...
Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...
Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...
 
Indexing Strategies for Oracle Databases - Beyond the Create Index Statement
Indexing Strategies for Oracle Databases - Beyond the Create Index StatementIndexing Strategies for Oracle Databases - Beyond the Create Index Statement
Indexing Strategies for Oracle Databases - Beyond the Create Index Statement
 
Apache Tez: Accelerating Hadoop Query Processing
Apache Tez: Accelerating Hadoop Query Processing Apache Tez: Accelerating Hadoop Query Processing
Apache Tez: Accelerating Hadoop Query Processing
 
Understanding Query Plans and Spark UIs
Understanding Query Plans and Spark UIsUnderstanding Query Plans and Spark UIs
Understanding Query Plans and Spark UIs
 
Apache Spark on Kubernetes Anirudh Ramanathan and Tim Chen
Apache Spark on Kubernetes Anirudh Ramanathan and Tim ChenApache Spark on Kubernetes Anirudh Ramanathan and Tim Chen
Apache Spark on Kubernetes Anirudh Ramanathan and Tim Chen
 
Ozone: scaling HDFS to trillions of objects
Ozone: scaling HDFS to trillions of objectsOzone: scaling HDFS to trillions of objects
Ozone: scaling HDFS to trillions of objects
 
Apache Spark At Scale in the Cloud
Apache Spark At Scale in the CloudApache Spark At Scale in the Cloud
Apache Spark At Scale in the Cloud
 
Designing ETL Pipelines with Structured Streaming and Delta Lake—How to Archi...
Designing ETL Pipelines with Structured Streaming and Delta Lake—How to Archi...Designing ETL Pipelines with Structured Streaming and Delta Lake—How to Archi...
Designing ETL Pipelines with Structured Streaming and Delta Lake—How to Archi...
 
Kafka vs Pulsar @KafkaMeetup_20180316
Kafka vs Pulsar @KafkaMeetup_20180316Kafka vs Pulsar @KafkaMeetup_20180316
Kafka vs Pulsar @KafkaMeetup_20180316
 
Spark performance tuning - Maksud Ibrahimov
Spark performance tuning - Maksud IbrahimovSpark performance tuning - Maksud Ibrahimov
Spark performance tuning - Maksud Ibrahimov
 
Examining Oracle GoldenGate Trail Files
Examining Oracle GoldenGate Trail FilesExamining Oracle GoldenGate Trail Files
Examining Oracle GoldenGate Trail Files
 
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
 
Oracle Client Failover - Under The Hood
Oracle Client Failover - Under The HoodOracle Client Failover - Under The Hood
Oracle Client Failover - Under The Hood
 
KafkaとPulsar
KafkaとPulsarKafkaとPulsar
KafkaとPulsar
 
Dynamically Scaling Data Streams across Multiple Kafka Clusters with Zero Fli...
Dynamically Scaling Data Streams across Multiple Kafka Clusters with Zero Fli...Dynamically Scaling Data Streams across Multiple Kafka Clusters with Zero Fli...
Dynamically Scaling Data Streams across Multiple Kafka Clusters with Zero Fli...
 

En vedette

Pynqでカメラ画像をリアルタイムfastx コーナー検出
Pynqでカメラ画像をリアルタイムfastx コーナー検出Pynqでカメラ画像をリアルタイムfastx コーナー検出
Pynqでカメラ画像をリアルタイムfastx コーナー検出marsee101
 
PYNQで○○してみた!
PYNQで○○してみた!PYNQで○○してみた!
PYNQで○○してみた!aster_ism
 
20171012 found IT #9 PySparkの勘所
20171012 found  IT #9 PySparkの勘所20171012 found  IT #9 PySparkの勘所
20171012 found IT #9 PySparkの勘所Ryuji Tamagawa
 
Presto in my_use_case
Presto in my_use_casePresto in my_use_case
Presto in my_use_casewyukawa
 
PYNQ 祭り: Pmod のプログラミング
PYNQ 祭り: Pmod のプログラミングPYNQ 祭り: Pmod のプログラミング
PYNQ 祭り: Pmod のプログラミングryos36
 
PYNQ祭りLT todotani
PYNQ祭りLT todotaniPYNQ祭りLT todotani
PYNQ祭りLT todotaniKenshi Kamiya
 
PYNQ単体でUIを表示してみる(PYNQまつり)
PYNQ単体でUIを表示してみる(PYNQまつり)PYNQ単体でUIを表示してみる(PYNQまつり)
PYNQ単体でUIを表示してみる(PYNQまつり)Kenta IDA
 
[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...
[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...
[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...Insight Technology, Inc.
 
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所Ryuji Tamagawa
 
20170210 sapporotechbar7
20170210 sapporotechbar720170210 sapporotechbar7
20170210 sapporotechbar7Ryuji Tamagawa
 
コンピュータエンジニアへのFPGAのすすめ
コンピュータエンジニアへのFPGAのすすめコンピュータエンジニアへのFPGAのすすめ
コンピュータエンジニアへのFPGAのすすめTakeshi HASEGAWA
 

En vedette (13)

Pynqでカメラ画像をリアルタイムfastx コーナー検出
Pynqでカメラ画像をリアルタイムfastx コーナー検出Pynqでカメラ画像をリアルタイムfastx コーナー検出
Pynqでカメラ画像をリアルタイムfastx コーナー検出
 
PYNQ祭り
PYNQ祭りPYNQ祭り
PYNQ祭り
 
PYNQで○○してみた!
PYNQで○○してみた!PYNQで○○してみた!
PYNQで○○してみた!
 
20171012 found IT #9 PySparkの勘所
20171012 found  IT #9 PySparkの勘所20171012 found  IT #9 PySparkの勘所
20171012 found IT #9 PySparkの勘所
 
Presto in my_use_case
Presto in my_use_casePresto in my_use_case
Presto in my_use_case
 
PYNQ 祭り: Pmod のプログラミング
PYNQ 祭り: Pmod のプログラミングPYNQ 祭り: Pmod のプログラミング
PYNQ 祭り: Pmod のプログラミング
 
Pynq祭り資料
Pynq祭り資料Pynq祭り資料
Pynq祭り資料
 
PYNQ祭りLT todotani
PYNQ祭りLT todotaniPYNQ祭りLT todotani
PYNQ祭りLT todotani
 
PYNQ単体でUIを表示してみる(PYNQまつり)
PYNQ単体でUIを表示してみる(PYNQまつり)PYNQ単体でUIを表示してみる(PYNQまつり)
PYNQ単体でUIを表示してみる(PYNQまつり)
 
[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...
[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...
[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...
 
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
 
20170210 sapporotechbar7
20170210 sapporotechbar720170210 sapporotechbar7
20170210 sapporotechbar7
 
コンピュータエンジニアへのFPGAのすすめ
コンピュータエンジニアへのFPGAのすすめコンピュータエンジニアへのFPGAのすすめ
コンピュータエンジニアへのFPGAのすすめ
 

Similaire à APACHE TOREE: A JUPYTER KERNEL FOR SPARK by Marius van Niekerk

A Jupyter kernel for Scala and Apache Spark.pdf
A Jupyter kernel for Scala and Apache Spark.pdfA Jupyter kernel for Scala and Apache Spark.pdf
A Jupyter kernel for Scala and Apache Spark.pdfLuciano Resende
 
Apache Spark Usage in the Open Source Ecosystem
Apache Spark Usage in the Open Source EcosystemApache Spark Usage in the Open Source Ecosystem
Apache Spark Usage in the Open Source EcosystemDatabricks
 
PyTorch 04 What's New in PyTorch Land
PyTorch 04 What's New in PyTorch LandPyTorch 04 What's New in PyTorch Land
PyTorch 04 What's New in PyTorch LandSam Witteveen
 
Jupyter con meetup extended jupyter kernel gateway
Jupyter con meetup   extended jupyter kernel gatewayJupyter con meetup   extended jupyter kernel gateway
Jupyter con meetup extended jupyter kernel gatewayLuciano Resende
 
Contributing to OpenStack
Contributing to OpenStackContributing to OpenStack
Contributing to OpenStackdevkulkarni
 
7 Apache Process Cloudstack Developer Day
7 Apache Process Cloudstack Developer Day7 Apache Process Cloudstack Developer Day
7 Apache Process Cloudstack Developer DayKimihiko Kitase
 
An Incomplete Data Tools Landscape for Hackers in 2015
An Incomplete Data Tools Landscape for Hackers in 2015An Incomplete Data Tools Landscape for Hackers in 2015
An Incomplete Data Tools Landscape for Hackers in 2015Wes McKinney
 
Installing Anaconda Distribution of Python
Installing Anaconda Distribution of PythonInstalling Anaconda Distribution of Python
Installing Anaconda Distribution of PythonJatin Miglani
 
SCAPE Information Day at BL - Some of the SCAPE Outputs Available
SCAPE Information Day at BL - Some of the SCAPE Outputs AvailableSCAPE Information Day at BL - Some of the SCAPE Outputs Available
SCAPE Information Day at BL - Some of the SCAPE Outputs AvailableSCAPE Project
 
OpenStack London Meetup, 18 Nov 2015
OpenStack London Meetup, 18 Nov 2015OpenStack London Meetup, 18 Nov 2015
OpenStack London Meetup, 18 Nov 2015Jesse Pretorius
 
Rust with-kafka-07-02-2019
Rust with-kafka-07-02-2019Rust with-kafka-07-02-2019
Rust with-kafka-07-02-2019Gerard Klijs
 
Industrialise PHP ~ ZendCon Europe 2013
Industrialise PHP ~ ZendCon Europe 2013Industrialise PHP ~ ZendCon Europe 2013
Industrialise PHP ~ ZendCon Europe 2013ekino
 
Contributing to OpenStack
Contributing to OpenStackContributing to OpenStack
Contributing to OpenStackdevkulkarni
 
OpenContrail Implementations
OpenContrail ImplementationsOpenContrail Implementations
OpenContrail ImplementationsJakub Pavlik
 
ApacheCon 2021 Apache Deep Learning 302
ApacheCon 2021   Apache Deep Learning 302ApacheCon 2021   Apache Deep Learning 302
ApacheCon 2021 Apache Deep Learning 302Timothy Spann
 
Openstack – An introduction
Openstack – An introductionOpenstack – An introduction
Openstack – An introductionMuddassir Nazir
 
Apache Curator: Past, Present and Future
Apache Curator: Past, Present and FutureApache Curator: Past, Present and Future
Apache Curator: Past, Present and FutureJordan Zimmerman
 
Big analytics meetup - Extended Jupyter Kernel Gateway
Big analytics meetup - Extended Jupyter Kernel GatewayBig analytics meetup - Extended Jupyter Kernel Gateway
Big analytics meetup - Extended Jupyter Kernel GatewayLuciano Resende
 

Similaire à APACHE TOREE: A JUPYTER KERNEL FOR SPARK by Marius van Niekerk (20)

A Jupyter kernel for Scala and Apache Spark.pdf
A Jupyter kernel for Scala and Apache Spark.pdfA Jupyter kernel for Scala and Apache Spark.pdf
A Jupyter kernel for Scala and Apache Spark.pdf
 
Apache Spark Usage in the Open Source Ecosystem
Apache Spark Usage in the Open Source EcosystemApache Spark Usage in the Open Source Ecosystem
Apache Spark Usage in the Open Source Ecosystem
 
PyTorch 04 What's New in PyTorch Land
PyTorch 04 What's New in PyTorch LandPyTorch 04 What's New in PyTorch Land
PyTorch 04 What's New in PyTorch Land
 
Jupyter con meetup extended jupyter kernel gateway
Jupyter con meetup   extended jupyter kernel gatewayJupyter con meetup   extended jupyter kernel gateway
Jupyter con meetup extended jupyter kernel gateway
 
Contributing to OpenStack
Contributing to OpenStackContributing to OpenStack
Contributing to OpenStack
 
7 Apache Process Cloudstack Developer Day
7 Apache Process Cloudstack Developer Day7 Apache Process Cloudstack Developer Day
7 Apache Process Cloudstack Developer Day
 
An Incomplete Data Tools Landscape for Hackers in 2015
An Incomplete Data Tools Landscape for Hackers in 2015An Incomplete Data Tools Landscape for Hackers in 2015
An Incomplete Data Tools Landscape for Hackers in 2015
 
Installing Anaconda Distribution of Python
Installing Anaconda Distribution of PythonInstalling Anaconda Distribution of Python
Installing Anaconda Distribution of Python
 
SCAPE Information Day at BL - Some of the SCAPE Outputs Available
SCAPE Information Day at BL - Some of the SCAPE Outputs AvailableSCAPE Information Day at BL - Some of the SCAPE Outputs Available
SCAPE Information Day at BL - Some of the SCAPE Outputs Available
 
OpenStack London Meetup, 18 Nov 2015
OpenStack London Meetup, 18 Nov 2015OpenStack London Meetup, 18 Nov 2015
OpenStack London Meetup, 18 Nov 2015
 
Rust with-kafka-07-02-2019
Rust with-kafka-07-02-2019Rust with-kafka-07-02-2019
Rust with-kafka-07-02-2019
 
Industrialise PHP ~ ZendCon Europe 2013
Industrialise PHP ~ ZendCon Europe 2013Industrialise PHP ~ ZendCon Europe 2013
Industrialise PHP ~ ZendCon Europe 2013
 
SparkFramework
SparkFrameworkSparkFramework
SparkFramework
 
Contributing to OpenStack
Contributing to OpenStackContributing to OpenStack
Contributing to OpenStack
 
Docker in OpenStack
Docker in OpenStackDocker in OpenStack
Docker in OpenStack
 
OpenContrail Implementations
OpenContrail ImplementationsOpenContrail Implementations
OpenContrail Implementations
 
ApacheCon 2021 Apache Deep Learning 302
ApacheCon 2021   Apache Deep Learning 302ApacheCon 2021   Apache Deep Learning 302
ApacheCon 2021 Apache Deep Learning 302
 
Openstack – An introduction
Openstack – An introductionOpenstack – An introduction
Openstack – An introduction
 
Apache Curator: Past, Present and Future
Apache Curator: Past, Present and FutureApache Curator: Past, Present and Future
Apache Curator: Past, Present and Future
 
Big analytics meetup - Extended Jupyter Kernel Gateway
Big analytics meetup - Extended Jupyter Kernel GatewayBig analytics meetup - Extended Jupyter Kernel Gateway
Big analytics meetup - Extended Jupyter Kernel Gateway
 

Plus de Spark Summit

FPGA-Based Acceleration Architecture for Spark SQL Qi Xie and Quanfu Wang
FPGA-Based Acceleration Architecture for Spark SQL Qi Xie and Quanfu Wang FPGA-Based Acceleration Architecture for Spark SQL Qi Xie and Quanfu Wang
FPGA-Based Acceleration Architecture for Spark SQL Qi Xie and Quanfu Wang Spark Summit
 
VEGAS: The Missing Matplotlib for Scala/Apache Spark with DB Tsai and Roger M...
VEGAS: The Missing Matplotlib for Scala/Apache Spark with DB Tsai and Roger M...VEGAS: The Missing Matplotlib for Scala/Apache Spark with DB Tsai and Roger M...
VEGAS: The Missing Matplotlib for Scala/Apache Spark with DB Tsai and Roger M...Spark Summit
 
Apache Spark Structured Streaming Helps Smart Manufacturing with Xiaochang Wu
Apache Spark Structured Streaming Helps Smart Manufacturing with  Xiaochang WuApache Spark Structured Streaming Helps Smart Manufacturing with  Xiaochang Wu
Apache Spark Structured Streaming Helps Smart Manufacturing with Xiaochang WuSpark Summit
 
Improving Traffic Prediction Using Weather Data with Ramya Raghavendra
Improving Traffic Prediction Using Weather Data  with Ramya RaghavendraImproving Traffic Prediction Using Weather Data  with Ramya Raghavendra
Improving Traffic Prediction Using Weather Data with Ramya RaghavendraSpark Summit
 
A Tale of Two Graph Frameworks on Spark: GraphFrames and Tinkerpop OLAP Artem...
A Tale of Two Graph Frameworks on Spark: GraphFrames and Tinkerpop OLAP Artem...A Tale of Two Graph Frameworks on Spark: GraphFrames and Tinkerpop OLAP Artem...
A Tale of Two Graph Frameworks on Spark: GraphFrames and Tinkerpop OLAP Artem...Spark Summit
 
No More Cumbersomeness: Automatic Predictive Modeling on Apache Spark Marcin ...
No More Cumbersomeness: Automatic Predictive Modeling on Apache Spark Marcin ...No More Cumbersomeness: Automatic Predictive Modeling on Apache Spark Marcin ...
No More Cumbersomeness: Automatic Predictive Modeling on Apache Spark Marcin ...Spark Summit
 
Apache Spark and Tensorflow as a Service with Jim Dowling
Apache Spark and Tensorflow as a Service with Jim DowlingApache Spark and Tensorflow as a Service with Jim Dowling
Apache Spark and Tensorflow as a Service with Jim DowlingSpark Summit
 
Apache Spark and Tensorflow as a Service with Jim Dowling
Apache Spark and Tensorflow as a Service with Jim DowlingApache Spark and Tensorflow as a Service with Jim Dowling
Apache Spark and Tensorflow as a Service with Jim DowlingSpark Summit
 
MMLSpark: Lessons from Building a SparkML-Compatible Machine Learning Library...
MMLSpark: Lessons from Building a SparkML-Compatible Machine Learning Library...MMLSpark: Lessons from Building a SparkML-Compatible Machine Learning Library...
MMLSpark: Lessons from Building a SparkML-Compatible Machine Learning Library...Spark Summit
 
Next CERN Accelerator Logging Service with Jakub Wozniak
Next CERN Accelerator Logging Service with Jakub WozniakNext CERN Accelerator Logging Service with Jakub Wozniak
Next CERN Accelerator Logging Service with Jakub WozniakSpark Summit
 
Powering a Startup with Apache Spark with Kevin Kim
Powering a Startup with Apache Spark with Kevin KimPowering a Startup with Apache Spark with Kevin Kim
Powering a Startup with Apache Spark with Kevin KimSpark Summit
 
Improving Traffic Prediction Using Weather Datawith Ramya Raghavendra
Improving Traffic Prediction Using Weather Datawith Ramya RaghavendraImproving Traffic Prediction Using Weather Datawith Ramya Raghavendra
Improving Traffic Prediction Using Weather Datawith Ramya RaghavendraSpark Summit
 
Hiding Apache Spark Complexity for Fast Prototyping of Big Data Applications—...
Hiding Apache Spark Complexity for Fast Prototyping of Big Data Applications—...Hiding Apache Spark Complexity for Fast Prototyping of Big Data Applications—...
Hiding Apache Spark Complexity for Fast Prototyping of Big Data Applications—...Spark Summit
 
How Nielsen Utilized Databricks for Large-Scale Research and Development with...
How Nielsen Utilized Databricks for Large-Scale Research and Development with...How Nielsen Utilized Databricks for Large-Scale Research and Development with...
How Nielsen Utilized Databricks for Large-Scale Research and Development with...Spark Summit
 
Spline: Apache Spark Lineage not Only for the Banking Industry with Marek Nov...
Spline: Apache Spark Lineage not Only for the Banking Industry with Marek Nov...Spline: Apache Spark Lineage not Only for the Banking Industry with Marek Nov...
Spline: Apache Spark Lineage not Only for the Banking Industry with Marek Nov...Spark Summit
 
Goal Based Data Production with Sim Simeonov
Goal Based Data Production with Sim SimeonovGoal Based Data Production with Sim Simeonov
Goal Based Data Production with Sim SimeonovSpark Summit
 
Preventing Revenue Leakage and Monitoring Distributed Systems with Machine Le...
Preventing Revenue Leakage and Monitoring Distributed Systems with Machine Le...Preventing Revenue Leakage and Monitoring Distributed Systems with Machine Le...
Preventing Revenue Leakage and Monitoring Distributed Systems with Machine Le...Spark Summit
 
Getting Ready to Use Redis with Apache Spark with Dvir Volk
Getting Ready to Use Redis with Apache Spark with Dvir VolkGetting Ready to Use Redis with Apache Spark with Dvir Volk
Getting Ready to Use Redis with Apache Spark with Dvir VolkSpark Summit
 
Deduplication and Author-Disambiguation of Streaming Records via Supervised M...
Deduplication and Author-Disambiguation of Streaming Records via Supervised M...Deduplication and Author-Disambiguation of Streaming Records via Supervised M...
Deduplication and Author-Disambiguation of Streaming Records via Supervised M...Spark Summit
 
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...Spark Summit
 

Plus de Spark Summit (20)

FPGA-Based Acceleration Architecture for Spark SQL Qi Xie and Quanfu Wang
FPGA-Based Acceleration Architecture for Spark SQL Qi Xie and Quanfu Wang FPGA-Based Acceleration Architecture for Spark SQL Qi Xie and Quanfu Wang
FPGA-Based Acceleration Architecture for Spark SQL Qi Xie and Quanfu Wang
 
VEGAS: The Missing Matplotlib for Scala/Apache Spark with DB Tsai and Roger M...
VEGAS: The Missing Matplotlib for Scala/Apache Spark with DB Tsai and Roger M...VEGAS: The Missing Matplotlib for Scala/Apache Spark with DB Tsai and Roger M...
VEGAS: The Missing Matplotlib for Scala/Apache Spark with DB Tsai and Roger M...
 
Apache Spark Structured Streaming Helps Smart Manufacturing with Xiaochang Wu
Apache Spark Structured Streaming Helps Smart Manufacturing with  Xiaochang WuApache Spark Structured Streaming Helps Smart Manufacturing with  Xiaochang Wu
Apache Spark Structured Streaming Helps Smart Manufacturing with Xiaochang Wu
 
Improving Traffic Prediction Using Weather Data with Ramya Raghavendra
Improving Traffic Prediction Using Weather Data  with Ramya RaghavendraImproving Traffic Prediction Using Weather Data  with Ramya Raghavendra
Improving Traffic Prediction Using Weather Data with Ramya Raghavendra
 
A Tale of Two Graph Frameworks on Spark: GraphFrames and Tinkerpop OLAP Artem...
A Tale of Two Graph Frameworks on Spark: GraphFrames and Tinkerpop OLAP Artem...A Tale of Two Graph Frameworks on Spark: GraphFrames and Tinkerpop OLAP Artem...
A Tale of Two Graph Frameworks on Spark: GraphFrames and Tinkerpop OLAP Artem...
 
No More Cumbersomeness: Automatic Predictive Modeling on Apache Spark Marcin ...
No More Cumbersomeness: Automatic Predictive Modeling on Apache Spark Marcin ...No More Cumbersomeness: Automatic Predictive Modeling on Apache Spark Marcin ...
No More Cumbersomeness: Automatic Predictive Modeling on Apache Spark Marcin ...
 
Apache Spark and Tensorflow as a Service with Jim Dowling
Apache Spark and Tensorflow as a Service with Jim DowlingApache Spark and Tensorflow as a Service with Jim Dowling
Apache Spark and Tensorflow as a Service with Jim Dowling
 
Apache Spark and Tensorflow as a Service with Jim Dowling
Apache Spark and Tensorflow as a Service with Jim DowlingApache Spark and Tensorflow as a Service with Jim Dowling
Apache Spark and Tensorflow as a Service with Jim Dowling
 
MMLSpark: Lessons from Building a SparkML-Compatible Machine Learning Library...
MMLSpark: Lessons from Building a SparkML-Compatible Machine Learning Library...MMLSpark: Lessons from Building a SparkML-Compatible Machine Learning Library...
MMLSpark: Lessons from Building a SparkML-Compatible Machine Learning Library...
 
Next CERN Accelerator Logging Service with Jakub Wozniak
Next CERN Accelerator Logging Service with Jakub WozniakNext CERN Accelerator Logging Service with Jakub Wozniak
Next CERN Accelerator Logging Service with Jakub Wozniak
 
Powering a Startup with Apache Spark with Kevin Kim
Powering a Startup with Apache Spark with Kevin KimPowering a Startup with Apache Spark with Kevin Kim
Powering a Startup with Apache Spark with Kevin Kim
 
Improving Traffic Prediction Using Weather Datawith Ramya Raghavendra
Improving Traffic Prediction Using Weather Datawith Ramya RaghavendraImproving Traffic Prediction Using Weather Datawith Ramya Raghavendra
Improving Traffic Prediction Using Weather Datawith Ramya Raghavendra
 
Hiding Apache Spark Complexity for Fast Prototyping of Big Data Applications—...
Hiding Apache Spark Complexity for Fast Prototyping of Big Data Applications—...Hiding Apache Spark Complexity for Fast Prototyping of Big Data Applications—...
Hiding Apache Spark Complexity for Fast Prototyping of Big Data Applications—...
 
How Nielsen Utilized Databricks for Large-Scale Research and Development with...
How Nielsen Utilized Databricks for Large-Scale Research and Development with...How Nielsen Utilized Databricks for Large-Scale Research and Development with...
How Nielsen Utilized Databricks for Large-Scale Research and Development with...
 
Spline: Apache Spark Lineage not Only for the Banking Industry with Marek Nov...
Spline: Apache Spark Lineage not Only for the Banking Industry with Marek Nov...Spline: Apache Spark Lineage not Only for the Banking Industry with Marek Nov...
Spline: Apache Spark Lineage not Only for the Banking Industry with Marek Nov...
 
Goal Based Data Production with Sim Simeonov
Goal Based Data Production with Sim SimeonovGoal Based Data Production with Sim Simeonov
Goal Based Data Production with Sim Simeonov
 
Preventing Revenue Leakage and Monitoring Distributed Systems with Machine Le...
Preventing Revenue Leakage and Monitoring Distributed Systems with Machine Le...Preventing Revenue Leakage and Monitoring Distributed Systems with Machine Le...
Preventing Revenue Leakage and Monitoring Distributed Systems with Machine Le...
 
Getting Ready to Use Redis with Apache Spark with Dvir Volk
Getting Ready to Use Redis with Apache Spark with Dvir VolkGetting Ready to Use Redis with Apache Spark with Dvir Volk
Getting Ready to Use Redis with Apache Spark with Dvir Volk
 
Deduplication and Author-Disambiguation of Streaming Records via Supervised M...
Deduplication and Author-Disambiguation of Streaming Records via Supervised M...Deduplication and Author-Disambiguation of Streaming Records via Supervised M...
Deduplication and Author-Disambiguation of Streaming Records via Supervised M...
 
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...
 

Dernier

VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...Suhani Kapoor
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Callshivangimorya083
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfLars Albertsson
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxolyaivanovalion
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023ymrp368
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% SecurePooja Nehwal
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxolyaivanovalion
 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxMohammedJunaid861692
 
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一ffjhghh
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionfulawalesam
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfRachmat Ramadhan H
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfMarinCaroMartnezBerg
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxolyaivanovalion
 
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiLow Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiSuhani Kapoor
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysismanisha194592
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxfirstjob4
 
Edukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxEdukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxolyaivanovalion
 
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Delhi Call girls
 

Dernier (20)

VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdf
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFx
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptx
 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
 
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interaction
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptx
 
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiLow Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptx
 
Edukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxEdukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFx
 
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
 

APACHE TOREE: A JUPYTER KERNEL FOR SPARK by Marius van Niekerk