SlideShare une entreprise Scribd logo
1  sur  54
Télécharger pour lire hors ligne
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application
Spark Summit EU 2015: SparkUI visualization: a lens into your application

Contenu connexe

Tendances

Top 5 mistakes when writing Spark applications
Top 5 mistakes when writing Spark applicationsTop 5 mistakes when writing Spark applications
Top 5 mistakes when writing Spark applicationshadooparchbook
 
Best Practice of Compression/Decompression Codes in Apache Spark with Sophia...
 Best Practice of Compression/Decompression Codes in Apache Spark with Sophia... Best Practice of Compression/Decompression Codes in Apache Spark with Sophia...
Best Practice of Compression/Decompression Codes in Apache Spark with Sophia...Databricks
 
Introduction to boost test
Introduction to boost testIntroduction to boost test
Introduction to boost testKohsuke Yuasa
 
Delta: Building Merge on Read
Delta: Building Merge on ReadDelta: Building Merge on Read
Delta: Building Merge on ReadDatabricks
 
엘라스틱 서치 세미나
엘라스틱 서치 세미나엘라스틱 서치 세미나
엘라스틱 서치 세미나종현 김
 
MongoDB for Time Series Data: Setting the Stage for Sensor Management
MongoDB for Time Series Data: Setting the Stage for Sensor ManagementMongoDB for Time Series Data: Setting the Stage for Sensor Management
MongoDB for Time Series Data: Setting the Stage for Sensor ManagementMongoDB
 
Cosco: An Efficient Facebook-Scale Shuffle Service
Cosco: An Efficient Facebook-Scale Shuffle ServiceCosco: An Efficient Facebook-Scale Shuffle Service
Cosco: An Efficient Facebook-Scale Shuffle ServiceDatabricks
 
Strata London 2019 Scaling Impala
Strata London 2019 Scaling ImpalaStrata London 2019 Scaling Impala
Strata London 2019 Scaling ImpalaManish Maheshwari
 
Memory Management in Apache Spark
Memory Management in Apache SparkMemory Management in Apache Spark
Memory Management in Apache SparkDatabricks
 
Apache phoenix: Past, Present and Future of SQL over HBAse
Apache phoenix: Past, Present and Future of SQL over HBAseApache phoenix: Past, Present and Future of SQL over HBAse
Apache phoenix: Past, Present and Future of SQL over HBAseenissoz
 
Taking Splunk to the Next Level - Architecture
Taking Splunk to the Next Level - ArchitectureTaking Splunk to the Next Level - Architecture
Taking Splunk to the Next Level - ArchitectureSplunk
 
A Practical Introduction to Apache Solr
A Practical Introduction to Apache SolrA Practical Introduction to Apache Solr
A Practical Introduction to Apache SolrAngel Borroy López
 
Large Scale Graph Analytics with JanusGraph
Large Scale Graph Analytics with JanusGraphLarge Scale Graph Analytics with JanusGraph
Large Scale Graph Analytics with JanusGraphDataWorks Summit
 
Processing Large Data with Apache Spark -- HasGeek
Processing Large Data with Apache Spark -- HasGeekProcessing Large Data with Apache Spark -- HasGeek
Processing Large Data with Apache Spark -- HasGeekVenkata Naga Ravi
 
Handling Data Skew Adaptively In Spark Using Dynamic Repartitioning
Handling Data Skew Adaptively In Spark Using Dynamic RepartitioningHandling Data Skew Adaptively In Spark Using Dynamic Repartitioning
Handling Data Skew Adaptively In Spark Using Dynamic RepartitioningSpark Summit
 
Vectorized Query Execution in Apache Spark at Facebook
Vectorized Query Execution in Apache Spark at FacebookVectorized Query Execution in Apache Spark at Facebook
Vectorized Query Execution in Apache Spark at FacebookDatabricks
 
Apache spark 소개 및 실습
Apache spark 소개 및 실습Apache spark 소개 및 실습
Apache spark 소개 및 실습동현 강
 
Improving SparkSQL Performance by 30%: How We Optimize Parquet Pushdown and P...
Improving SparkSQL Performance by 30%: How We Optimize Parquet Pushdown and P...Improving SparkSQL Performance by 30%: How We Optimize Parquet Pushdown and P...
Improving SparkSQL Performance by 30%: How We Optimize Parquet Pushdown and P...Databricks
 
Performance Optimizations in Apache Impala
Performance Optimizations in Apache ImpalaPerformance Optimizations in Apache Impala
Performance Optimizations in Apache ImpalaCloudera, Inc.
 

Tendances (20)

Top 5 mistakes when writing Spark applications
Top 5 mistakes when writing Spark applicationsTop 5 mistakes when writing Spark applications
Top 5 mistakes when writing Spark applications
 
Best Practice of Compression/Decompression Codes in Apache Spark with Sophia...
 Best Practice of Compression/Decompression Codes in Apache Spark with Sophia... Best Practice of Compression/Decompression Codes in Apache Spark with Sophia...
Best Practice of Compression/Decompression Codes in Apache Spark with Sophia...
 
Introduction to boost test
Introduction to boost testIntroduction to boost test
Introduction to boost test
 
Delta: Building Merge on Read
Delta: Building Merge on ReadDelta: Building Merge on Read
Delta: Building Merge on Read
 
엘라스틱 서치 세미나
엘라스틱 서치 세미나엘라스틱 서치 세미나
엘라스틱 서치 세미나
 
MongoDB for Time Series Data: Setting the Stage for Sensor Management
MongoDB for Time Series Data: Setting the Stage for Sensor ManagementMongoDB for Time Series Data: Setting the Stage for Sensor Management
MongoDB for Time Series Data: Setting the Stage for Sensor Management
 
Cosco: An Efficient Facebook-Scale Shuffle Service
Cosco: An Efficient Facebook-Scale Shuffle ServiceCosco: An Efficient Facebook-Scale Shuffle Service
Cosco: An Efficient Facebook-Scale Shuffle Service
 
Strata London 2019 Scaling Impala
Strata London 2019 Scaling ImpalaStrata London 2019 Scaling Impala
Strata London 2019 Scaling Impala
 
Memory Management in Apache Spark
Memory Management in Apache SparkMemory Management in Apache Spark
Memory Management in Apache Spark
 
Apache phoenix: Past, Present and Future of SQL over HBAse
Apache phoenix: Past, Present and Future of SQL over HBAseApache phoenix: Past, Present and Future of SQL over HBAse
Apache phoenix: Past, Present and Future of SQL over HBAse
 
Taking Splunk to the Next Level - Architecture
Taking Splunk to the Next Level - ArchitectureTaking Splunk to the Next Level - Architecture
Taking Splunk to the Next Level - Architecture
 
A Practical Introduction to Apache Solr
A Practical Introduction to Apache SolrA Practical Introduction to Apache Solr
A Practical Introduction to Apache Solr
 
Large Scale Graph Analytics with JanusGraph
Large Scale Graph Analytics with JanusGraphLarge Scale Graph Analytics with JanusGraph
Large Scale Graph Analytics with JanusGraph
 
Processing Large Data with Apache Spark -- HasGeek
Processing Large Data with Apache Spark -- HasGeekProcessing Large Data with Apache Spark -- HasGeek
Processing Large Data with Apache Spark -- HasGeek
 
Hive: Loading Data
Hive: Loading DataHive: Loading Data
Hive: Loading Data
 
Handling Data Skew Adaptively In Spark Using Dynamic Repartitioning
Handling Data Skew Adaptively In Spark Using Dynamic RepartitioningHandling Data Skew Adaptively In Spark Using Dynamic Repartitioning
Handling Data Skew Adaptively In Spark Using Dynamic Repartitioning
 
Vectorized Query Execution in Apache Spark at Facebook
Vectorized Query Execution in Apache Spark at FacebookVectorized Query Execution in Apache Spark at Facebook
Vectorized Query Execution in Apache Spark at Facebook
 
Apache spark 소개 및 실습
Apache spark 소개 및 실습Apache spark 소개 및 실습
Apache spark 소개 및 실습
 
Improving SparkSQL Performance by 30%: How We Optimize Parquet Pushdown and P...
Improving SparkSQL Performance by 30%: How We Optimize Parquet Pushdown and P...Improving SparkSQL Performance by 30%: How We Optimize Parquet Pushdown and P...
Improving SparkSQL Performance by 30%: How We Optimize Parquet Pushdown and P...
 
Performance Optimizations in Apache Impala
Performance Optimizations in Apache ImpalaPerformance Optimizations in Apache Impala
Performance Optimizations in Apache Impala
 

En vedette

Spark Summit EU 2015: Lessons from 300+ production users
Spark Summit EU 2015: Lessons from 300+ production usersSpark Summit EU 2015: Lessons from 300+ production users
Spark Summit EU 2015: Lessons from 300+ production usersDatabricks
 
Spark: The Good, the Bad, and the Ugly
Spark: The Good, the Bad, and the UglySpark: The Good, the Bad, and the Ugly
Spark: The Good, the Bad, and the UglySarah Guido
 
Netflix - Productionizing Spark On Yarn For ETL At Petabyte Scale
Netflix - Productionizing Spark On Yarn For ETL At Petabyte ScaleNetflix - Productionizing Spark On Yarn For ETL At Petabyte Scale
Netflix - Productionizing Spark On Yarn For ETL At Petabyte ScaleJen Aman
 
Deep Dive: Memory Management in Apache Spark
Deep Dive: Memory Management in Apache SparkDeep Dive: Memory Management in Apache Spark
Deep Dive: Memory Management in Apache SparkDatabricks
 
Apache Spark 2.0: A Deep Dive Into Structured Streaming - by Tathagata Das
Apache Spark 2.0: A Deep Dive Into Structured Streaming - by Tathagata Das Apache Spark 2.0: A Deep Dive Into Structured Streaming - by Tathagata Das
Apache Spark 2.0: A Deep Dive Into Structured Streaming - by Tathagata Das Databricks
 
Big Data visualization with Apache Spark and Zeppelin
Big Data visualization with Apache Spark and ZeppelinBig Data visualization with Apache Spark and Zeppelin
Big Data visualization with Apache Spark and Zeppelinprajods
 
超高速処理とスケーラビリティを両立するApache GEODE
超高速処理とスケーラビリティを両立するApache GEODE超高速処理とスケーラビリティを両立するApache GEODE
超高速処理とスケーラビリティを両立するApache GEODEMasaki Yamakawa
 
Highlights and Challenges from Running Spark on Mesos in Production by Morri ...
Highlights and Challenges from Running Spark on Mesos in Production by Morri ...Highlights and Challenges from Running Spark on Mesos in Production by Morri ...
Highlights and Challenges from Running Spark on Mesos in Production by Morri ...Spark Summit
 
Production Readiness Testing At Salesforce Using Spark MLlib
Production Readiness Testing At Salesforce Using Spark MLlibProduction Readiness Testing At Salesforce Using Spark MLlib
Production Readiness Testing At Salesforce Using Spark MLlibSpark Summit
 
Tagging and Processing Data in Real Time-(Hari Shreedharan and Siddhartha Jai...
Tagging and Processing Data in Real Time-(Hari Shreedharan and Siddhartha Jai...Tagging and Processing Data in Real Time-(Hari Shreedharan and Siddhartha Jai...
Tagging and Processing Data in Real Time-(Hari Shreedharan and Siddhartha Jai...Spark Summit
 
Lessons from Running Large Scale Spark Workloads
Lessons from Running Large Scale Spark WorkloadsLessons from Running Large Scale Spark Workloads
Lessons from Running Large Scale Spark WorkloadsDatabricks
 
Spark with Cassandra by Christopher Batey
Spark with Cassandra by Christopher BateySpark with Cassandra by Christopher Batey
Spark with Cassandra by Christopher BateySpark Summit
 
Spark Streaming: Pushing the throughput limits by Francois Garillot and Gerar...
Spark Streaming: Pushing the throughput limits by Francois Garillot and Gerar...Spark Streaming: Pushing the throughput limits by Francois Garillot and Gerar...
Spark Streaming: Pushing the throughput limits by Francois Garillot and Gerar...Spark Summit
 
Some Important Streaming Algorithms You Should Know About-(Ted Dunning, MapR)
Some Important Streaming Algorithms You Should Know About-(Ted Dunning, MapR)Some Important Streaming Algorithms You Should Know About-(Ted Dunning, MapR)
Some Important Streaming Algorithms You Should Know About-(Ted Dunning, MapR)Spark Summit
 
An Introduction to Sparkling Water by Michal Malohlava
An Introduction to Sparkling Water by Michal MalohlavaAn Introduction to Sparkling Water by Michal Malohlava
An Introduction to Sparkling Water by Michal MalohlavaSpark Summit
 
Magellen: Geospatial Analytics on Spark by Ram Sriharsha
Magellen: Geospatial Analytics on Spark by Ram SriharshaMagellen: Geospatial Analytics on Spark by Ram Sriharsha
Magellen: Geospatial Analytics on Spark by Ram SriharshaSpark Summit
 
Spark Tuning for Enterprise System Administrators By Anya Bida
Spark Tuning for Enterprise System Administrators By Anya BidaSpark Tuning for Enterprise System Administrators By Anya Bida
Spark Tuning for Enterprise System Administrators By Anya BidaSpark Summit
 
Continuous Integration for Spark Apps by Sean McIntyre
Continuous Integration for Spark Apps by Sean McIntyreContinuous Integration for Spark Apps by Sean McIntyre
Continuous Integration for Spark Apps by Sean McIntyreSpark Summit
 
Insights into Customer Behavior from Clickstream Data by Ronald Nowling
Insights into Customer Behavior from Clickstream Data by Ronald NowlingInsights into Customer Behavior from Clickstream Data by Ronald Nowling
Insights into Customer Behavior from Clickstream Data by Ronald NowlingSpark Summit
 

En vedette (20)

Advanced Visualization of Spark jobs
Advanced Visualization of Spark jobsAdvanced Visualization of Spark jobs
Advanced Visualization of Spark jobs
 
Spark Summit EU 2015: Lessons from 300+ production users
Spark Summit EU 2015: Lessons from 300+ production usersSpark Summit EU 2015: Lessons from 300+ production users
Spark Summit EU 2015: Lessons from 300+ production users
 
Spark: The Good, the Bad, and the Ugly
Spark: The Good, the Bad, and the UglySpark: The Good, the Bad, and the Ugly
Spark: The Good, the Bad, and the Ugly
 
Netflix - Productionizing Spark On Yarn For ETL At Petabyte Scale
Netflix - Productionizing Spark On Yarn For ETL At Petabyte ScaleNetflix - Productionizing Spark On Yarn For ETL At Petabyte Scale
Netflix - Productionizing Spark On Yarn For ETL At Petabyte Scale
 
Deep Dive: Memory Management in Apache Spark
Deep Dive: Memory Management in Apache SparkDeep Dive: Memory Management in Apache Spark
Deep Dive: Memory Management in Apache Spark
 
Apache Spark 2.0: A Deep Dive Into Structured Streaming - by Tathagata Das
Apache Spark 2.0: A Deep Dive Into Structured Streaming - by Tathagata Das Apache Spark 2.0: A Deep Dive Into Structured Streaming - by Tathagata Das
Apache Spark 2.0: A Deep Dive Into Structured Streaming - by Tathagata Das
 
Big Data visualization with Apache Spark and Zeppelin
Big Data visualization with Apache Spark and ZeppelinBig Data visualization with Apache Spark and Zeppelin
Big Data visualization with Apache Spark and Zeppelin
 
超高速処理とスケーラビリティを両立するApache GEODE
超高速処理とスケーラビリティを両立するApache GEODE超高速処理とスケーラビリティを両立するApache GEODE
超高速処理とスケーラビリティを両立するApache GEODE
 
Highlights and Challenges from Running Spark on Mesos in Production by Morri ...
Highlights and Challenges from Running Spark on Mesos in Production by Morri ...Highlights and Challenges from Running Spark on Mesos in Production by Morri ...
Highlights and Challenges from Running Spark on Mesos in Production by Morri ...
 
Production Readiness Testing At Salesforce Using Spark MLlib
Production Readiness Testing At Salesforce Using Spark MLlibProduction Readiness Testing At Salesforce Using Spark MLlib
Production Readiness Testing At Salesforce Using Spark MLlib
 
Tagging and Processing Data in Real Time-(Hari Shreedharan and Siddhartha Jai...
Tagging and Processing Data in Real Time-(Hari Shreedharan and Siddhartha Jai...Tagging and Processing Data in Real Time-(Hari Shreedharan and Siddhartha Jai...
Tagging and Processing Data in Real Time-(Hari Shreedharan and Siddhartha Jai...
 
Lessons from Running Large Scale Spark Workloads
Lessons from Running Large Scale Spark WorkloadsLessons from Running Large Scale Spark Workloads
Lessons from Running Large Scale Spark Workloads
 
Spark with Cassandra by Christopher Batey
Spark with Cassandra by Christopher BateySpark with Cassandra by Christopher Batey
Spark with Cassandra by Christopher Batey
 
Spark Streaming: Pushing the throughput limits by Francois Garillot and Gerar...
Spark Streaming: Pushing the throughput limits by Francois Garillot and Gerar...Spark Streaming: Pushing the throughput limits by Francois Garillot and Gerar...
Spark Streaming: Pushing the throughput limits by Francois Garillot and Gerar...
 
Some Important Streaming Algorithms You Should Know About-(Ted Dunning, MapR)
Some Important Streaming Algorithms You Should Know About-(Ted Dunning, MapR)Some Important Streaming Algorithms You Should Know About-(Ted Dunning, MapR)
Some Important Streaming Algorithms You Should Know About-(Ted Dunning, MapR)
 
An Introduction to Sparkling Water by Michal Malohlava
An Introduction to Sparkling Water by Michal MalohlavaAn Introduction to Sparkling Water by Michal Malohlava
An Introduction to Sparkling Water by Michal Malohlava
 
Magellen: Geospatial Analytics on Spark by Ram Sriharsha
Magellen: Geospatial Analytics on Spark by Ram SriharshaMagellen: Geospatial Analytics on Spark by Ram Sriharsha
Magellen: Geospatial Analytics on Spark by Ram Sriharsha
 
Spark Tuning for Enterprise System Administrators By Anya Bida
Spark Tuning for Enterprise System Administrators By Anya BidaSpark Tuning for Enterprise System Administrators By Anya Bida
Spark Tuning for Enterprise System Administrators By Anya Bida
 
Continuous Integration for Spark Apps by Sean McIntyre
Continuous Integration for Spark Apps by Sean McIntyreContinuous Integration for Spark Apps by Sean McIntyre
Continuous Integration for Spark Apps by Sean McIntyre
 
Insights into Customer Behavior from Clickstream Data by Ronald Nowling
Insights into Customer Behavior from Clickstream Data by Ronald NowlingInsights into Customer Behavior from Clickstream Data by Ronald Nowling
Insights into Customer Behavior from Clickstream Data by Ronald Nowling
 

Plus de Databricks

DW Migration Webinar-March 2022.pptx
DW Migration Webinar-March 2022.pptxDW Migration Webinar-March 2022.pptx
DW Migration Webinar-March 2022.pptxDatabricks
 
Data Lakehouse Symposium | Day 1 | Part 1
Data Lakehouse Symposium | Day 1 | Part 1Data Lakehouse Symposium | Day 1 | Part 1
Data Lakehouse Symposium | Day 1 | Part 1Databricks
 
Data Lakehouse Symposium | Day 1 | Part 2
Data Lakehouse Symposium | Day 1 | Part 2Data Lakehouse Symposium | Day 1 | Part 2
Data Lakehouse Symposium | Day 1 | Part 2Databricks
 
Data Lakehouse Symposium | Day 2
Data Lakehouse Symposium | Day 2Data Lakehouse Symposium | Day 2
Data Lakehouse Symposium | Day 2Databricks
 
Data Lakehouse Symposium | Day 4
Data Lakehouse Symposium | Day 4Data Lakehouse Symposium | Day 4
Data Lakehouse Symposium | Day 4Databricks
 
5 Critical Steps to Clean Your Data Swamp When Migrating Off of Hadoop
5 Critical Steps to Clean Your Data Swamp When Migrating Off of Hadoop5 Critical Steps to Clean Your Data Swamp When Migrating Off of Hadoop
5 Critical Steps to Clean Your Data Swamp When Migrating Off of HadoopDatabricks
 
Democratizing Data Quality Through a Centralized Platform
Democratizing Data Quality Through a Centralized PlatformDemocratizing Data Quality Through a Centralized Platform
Democratizing Data Quality Through a Centralized PlatformDatabricks
 
Learn to Use Databricks for Data Science
Learn to Use Databricks for Data ScienceLearn to Use Databricks for Data Science
Learn to Use Databricks for Data ScienceDatabricks
 
Why APM Is Not the Same As ML Monitoring
Why APM Is Not the Same As ML MonitoringWhy APM Is Not the Same As ML Monitoring
Why APM Is Not the Same As ML MonitoringDatabricks
 
The Function, the Context, and the Data—Enabling ML Ops at Stitch Fix
The Function, the Context, and the Data—Enabling ML Ops at Stitch FixThe Function, the Context, and the Data—Enabling ML Ops at Stitch Fix
The Function, the Context, and the Data—Enabling ML Ops at Stitch FixDatabricks
 
Stage Level Scheduling Improving Big Data and AI Integration
Stage Level Scheduling Improving Big Data and AI IntegrationStage Level Scheduling Improving Big Data and AI Integration
Stage Level Scheduling Improving Big Data and AI IntegrationDatabricks
 
Simplify Data Conversion from Spark to TensorFlow and PyTorch
Simplify Data Conversion from Spark to TensorFlow and PyTorchSimplify Data Conversion from Spark to TensorFlow and PyTorch
Simplify Data Conversion from Spark to TensorFlow and PyTorchDatabricks
 
Scaling your Data Pipelines with Apache Spark on Kubernetes
Scaling your Data Pipelines with Apache Spark on KubernetesScaling your Data Pipelines with Apache Spark on Kubernetes
Scaling your Data Pipelines with Apache Spark on KubernetesDatabricks
 
Scaling and Unifying SciKit Learn and Apache Spark Pipelines
Scaling and Unifying SciKit Learn and Apache Spark PipelinesScaling and Unifying SciKit Learn and Apache Spark Pipelines
Scaling and Unifying SciKit Learn and Apache Spark PipelinesDatabricks
 
Sawtooth Windows for Feature Aggregations
Sawtooth Windows for Feature AggregationsSawtooth Windows for Feature Aggregations
Sawtooth Windows for Feature AggregationsDatabricks
 
Redis + Apache Spark = Swiss Army Knife Meets Kitchen Sink
Redis + Apache Spark = Swiss Army Knife Meets Kitchen SinkRedis + Apache Spark = Swiss Army Knife Meets Kitchen Sink
Redis + Apache Spark = Swiss Army Knife Meets Kitchen SinkDatabricks
 
Re-imagine Data Monitoring with whylogs and Spark
Re-imagine Data Monitoring with whylogs and SparkRe-imagine Data Monitoring with whylogs and Spark
Re-imagine Data Monitoring with whylogs and SparkDatabricks
 
Raven: End-to-end Optimization of ML Prediction Queries
Raven: End-to-end Optimization of ML Prediction QueriesRaven: End-to-end Optimization of ML Prediction Queries
Raven: End-to-end Optimization of ML Prediction QueriesDatabricks
 
Processing Large Datasets for ADAS Applications using Apache Spark
Processing Large Datasets for ADAS Applications using Apache SparkProcessing Large Datasets for ADAS Applications using Apache Spark
Processing Large Datasets for ADAS Applications using Apache SparkDatabricks
 
Massive Data Processing in Adobe Using Delta Lake
Massive Data Processing in Adobe Using Delta LakeMassive Data Processing in Adobe Using Delta Lake
Massive Data Processing in Adobe Using Delta LakeDatabricks
 

Plus de Databricks (20)

DW Migration Webinar-March 2022.pptx
DW Migration Webinar-March 2022.pptxDW Migration Webinar-March 2022.pptx
DW Migration Webinar-March 2022.pptx
 
Data Lakehouse Symposium | Day 1 | Part 1
Data Lakehouse Symposium | Day 1 | Part 1Data Lakehouse Symposium | Day 1 | Part 1
Data Lakehouse Symposium | Day 1 | Part 1
 
Data Lakehouse Symposium | Day 1 | Part 2
Data Lakehouse Symposium | Day 1 | Part 2Data Lakehouse Symposium | Day 1 | Part 2
Data Lakehouse Symposium | Day 1 | Part 2
 
Data Lakehouse Symposium | Day 2
Data Lakehouse Symposium | Day 2Data Lakehouse Symposium | Day 2
Data Lakehouse Symposium | Day 2
 
Data Lakehouse Symposium | Day 4
Data Lakehouse Symposium | Day 4Data Lakehouse Symposium | Day 4
Data Lakehouse Symposium | Day 4
 
5 Critical Steps to Clean Your Data Swamp When Migrating Off of Hadoop
5 Critical Steps to Clean Your Data Swamp When Migrating Off of Hadoop5 Critical Steps to Clean Your Data Swamp When Migrating Off of Hadoop
5 Critical Steps to Clean Your Data Swamp When Migrating Off of Hadoop
 
Democratizing Data Quality Through a Centralized Platform
Democratizing Data Quality Through a Centralized PlatformDemocratizing Data Quality Through a Centralized Platform
Democratizing Data Quality Through a Centralized Platform
 
Learn to Use Databricks for Data Science
Learn to Use Databricks for Data ScienceLearn to Use Databricks for Data Science
Learn to Use Databricks for Data Science
 
Why APM Is Not the Same As ML Monitoring
Why APM Is Not the Same As ML MonitoringWhy APM Is Not the Same As ML Monitoring
Why APM Is Not the Same As ML Monitoring
 
The Function, the Context, and the Data—Enabling ML Ops at Stitch Fix
The Function, the Context, and the Data—Enabling ML Ops at Stitch FixThe Function, the Context, and the Data—Enabling ML Ops at Stitch Fix
The Function, the Context, and the Data—Enabling ML Ops at Stitch Fix
 
Stage Level Scheduling Improving Big Data and AI Integration
Stage Level Scheduling Improving Big Data and AI IntegrationStage Level Scheduling Improving Big Data and AI Integration
Stage Level Scheduling Improving Big Data and AI Integration
 
Simplify Data Conversion from Spark to TensorFlow and PyTorch
Simplify Data Conversion from Spark to TensorFlow and PyTorchSimplify Data Conversion from Spark to TensorFlow and PyTorch
Simplify Data Conversion from Spark to TensorFlow and PyTorch
 
Scaling your Data Pipelines with Apache Spark on Kubernetes
Scaling your Data Pipelines with Apache Spark on KubernetesScaling your Data Pipelines with Apache Spark on Kubernetes
Scaling your Data Pipelines with Apache Spark on Kubernetes
 
Scaling and Unifying SciKit Learn and Apache Spark Pipelines
Scaling and Unifying SciKit Learn and Apache Spark PipelinesScaling and Unifying SciKit Learn and Apache Spark Pipelines
Scaling and Unifying SciKit Learn and Apache Spark Pipelines
 
Sawtooth Windows for Feature Aggregations
Sawtooth Windows for Feature AggregationsSawtooth Windows for Feature Aggregations
Sawtooth Windows for Feature Aggregations
 
Redis + Apache Spark = Swiss Army Knife Meets Kitchen Sink
Redis + Apache Spark = Swiss Army Knife Meets Kitchen SinkRedis + Apache Spark = Swiss Army Knife Meets Kitchen Sink
Redis + Apache Spark = Swiss Army Knife Meets Kitchen Sink
 
Re-imagine Data Monitoring with whylogs and Spark
Re-imagine Data Monitoring with whylogs and SparkRe-imagine Data Monitoring with whylogs and Spark
Re-imagine Data Monitoring with whylogs and Spark
 
Raven: End-to-end Optimization of ML Prediction Queries
Raven: End-to-end Optimization of ML Prediction QueriesRaven: End-to-end Optimization of ML Prediction Queries
Raven: End-to-end Optimization of ML Prediction Queries
 
Processing Large Datasets for ADAS Applications using Apache Spark
Processing Large Datasets for ADAS Applications using Apache SparkProcessing Large Datasets for ADAS Applications using Apache Spark
Processing Large Datasets for ADAS Applications using Apache Spark
 
Massive Data Processing in Adobe Using Delta Lake
Massive Data Processing in Adobe Using Delta LakeMassive Data Processing in Adobe Using Delta Lake
Massive Data Processing in Adobe Using Delta Lake
 

Dernier

Post Quantum Cryptography – The Impact on Identity
Post Quantum Cryptography – The Impact on IdentityPost Quantum Cryptography – The Impact on Identity
Post Quantum Cryptography – The Impact on Identityteam-WIBU
 
Cloud Data Center Network Construction - IEEE
Cloud Data Center Network Construction - IEEECloud Data Center Network Construction - IEEE
Cloud Data Center Network Construction - IEEEVICTOR MAESTRE RAMIREZ
 
Automate your Kamailio Test Calls - Kamailio World 2024
Automate your Kamailio Test Calls - Kamailio World 2024Automate your Kamailio Test Calls - Kamailio World 2024
Automate your Kamailio Test Calls - Kamailio World 2024Andreas Granig
 
CRM Contender Series: HubSpot vs. Salesforce
CRM Contender Series: HubSpot vs. SalesforceCRM Contender Series: HubSpot vs. Salesforce
CRM Contender Series: HubSpot vs. SalesforceBrainSell Technologies
 
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdfGOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdfAlina Yurenko
 
Intelligent Home Wi-Fi Solutions | ThinkPalm
Intelligent Home Wi-Fi Solutions | ThinkPalmIntelligent Home Wi-Fi Solutions | ThinkPalm
Intelligent Home Wi-Fi Solutions | ThinkPalmSujith Sukumaran
 
Balasore Best It Company|| Top 10 IT Company || Balasore Software company Odisha
Balasore Best It Company|| Top 10 IT Company || Balasore Software company OdishaBalasore Best It Company|| Top 10 IT Company || Balasore Software company Odisha
Balasore Best It Company|| Top 10 IT Company || Balasore Software company Odishasmiwainfosol
 
SuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte Germany
SuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte GermanySuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte Germany
SuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte GermanyChristoph Pohl
 
Unveiling Design Patterns: A Visual Guide with UML Diagrams
Unveiling Design Patterns: A Visual Guide with UML DiagramsUnveiling Design Patterns: A Visual Guide with UML Diagrams
Unveiling Design Patterns: A Visual Guide with UML DiagramsAhmed Mohamed
 
How To Manage Restaurant Staff -BTRESTRO
How To Manage Restaurant Staff -BTRESTROHow To Manage Restaurant Staff -BTRESTRO
How To Manage Restaurant Staff -BTRESTROmotivationalword821
 
Salesforce Implementation Services PPT By ABSYZ
Salesforce Implementation Services PPT By ABSYZSalesforce Implementation Services PPT By ABSYZ
Salesforce Implementation Services PPT By ABSYZABSYZ Inc
 
Machine Learning Software Engineering Patterns and Their Engineering
Machine Learning Software Engineering Patterns and Their EngineeringMachine Learning Software Engineering Patterns and Their Engineering
Machine Learning Software Engineering Patterns and Their EngineeringHironori Washizaki
 
Comparing Linux OS Image Update Models - EOSS 2024.pdf
Comparing Linux OS Image Update Models - EOSS 2024.pdfComparing Linux OS Image Update Models - EOSS 2024.pdf
Comparing Linux OS Image Update Models - EOSS 2024.pdfDrew Moseley
 
PREDICTING RIVER WATER QUALITY ppt presentation
PREDICTING  RIVER  WATER QUALITY  ppt presentationPREDICTING  RIVER  WATER QUALITY  ppt presentation
PREDICTING RIVER WATER QUALITY ppt presentationvaddepallysandeep122
 
UI5ers live - Custom Controls wrapping 3rd-party libs.pptx
UI5ers live - Custom Controls wrapping 3rd-party libs.pptxUI5ers live - Custom Controls wrapping 3rd-party libs.pptx
UI5ers live - Custom Controls wrapping 3rd-party libs.pptxAndreas Kunz
 
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...confluent
 
What is Advanced Excel and what are some best practices for designing and cre...
What is Advanced Excel and what are some best practices for designing and cre...What is Advanced Excel and what are some best practices for designing and cre...
What is Advanced Excel and what are some best practices for designing and cre...Technogeeks
 
Simplifying Microservices & Apps - The art of effortless development - Meetup...
Simplifying Microservices & Apps - The art of effortless development - Meetup...Simplifying Microservices & Apps - The art of effortless development - Meetup...
Simplifying Microservices & Apps - The art of effortless development - Meetup...Rob Geurden
 
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024StefanoLambiase
 
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...OnePlan Solutions
 

Dernier (20)

Post Quantum Cryptography – The Impact on Identity
Post Quantum Cryptography – The Impact on IdentityPost Quantum Cryptography – The Impact on Identity
Post Quantum Cryptography – The Impact on Identity
 
Cloud Data Center Network Construction - IEEE
Cloud Data Center Network Construction - IEEECloud Data Center Network Construction - IEEE
Cloud Data Center Network Construction - IEEE
 
Automate your Kamailio Test Calls - Kamailio World 2024
Automate your Kamailio Test Calls - Kamailio World 2024Automate your Kamailio Test Calls - Kamailio World 2024
Automate your Kamailio Test Calls - Kamailio World 2024
 
CRM Contender Series: HubSpot vs. Salesforce
CRM Contender Series: HubSpot vs. SalesforceCRM Contender Series: HubSpot vs. Salesforce
CRM Contender Series: HubSpot vs. Salesforce
 
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdfGOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
 
Intelligent Home Wi-Fi Solutions | ThinkPalm
Intelligent Home Wi-Fi Solutions | ThinkPalmIntelligent Home Wi-Fi Solutions | ThinkPalm
Intelligent Home Wi-Fi Solutions | ThinkPalm
 
Balasore Best It Company|| Top 10 IT Company || Balasore Software company Odisha
Balasore Best It Company|| Top 10 IT Company || Balasore Software company OdishaBalasore Best It Company|| Top 10 IT Company || Balasore Software company Odisha
Balasore Best It Company|| Top 10 IT Company || Balasore Software company Odisha
 
SuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte Germany
SuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte GermanySuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte Germany
SuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte Germany
 
Unveiling Design Patterns: A Visual Guide with UML Diagrams
Unveiling Design Patterns: A Visual Guide with UML DiagramsUnveiling Design Patterns: A Visual Guide with UML Diagrams
Unveiling Design Patterns: A Visual Guide with UML Diagrams
 
How To Manage Restaurant Staff -BTRESTRO
How To Manage Restaurant Staff -BTRESTROHow To Manage Restaurant Staff -BTRESTRO
How To Manage Restaurant Staff -BTRESTRO
 
Salesforce Implementation Services PPT By ABSYZ
Salesforce Implementation Services PPT By ABSYZSalesforce Implementation Services PPT By ABSYZ
Salesforce Implementation Services PPT By ABSYZ
 
Machine Learning Software Engineering Patterns and Their Engineering
Machine Learning Software Engineering Patterns and Their EngineeringMachine Learning Software Engineering Patterns and Their Engineering
Machine Learning Software Engineering Patterns and Their Engineering
 
Comparing Linux OS Image Update Models - EOSS 2024.pdf
Comparing Linux OS Image Update Models - EOSS 2024.pdfComparing Linux OS Image Update Models - EOSS 2024.pdf
Comparing Linux OS Image Update Models - EOSS 2024.pdf
 
PREDICTING RIVER WATER QUALITY ppt presentation
PREDICTING  RIVER  WATER QUALITY  ppt presentationPREDICTING  RIVER  WATER QUALITY  ppt presentation
PREDICTING RIVER WATER QUALITY ppt presentation
 
UI5ers live - Custom Controls wrapping 3rd-party libs.pptx
UI5ers live - Custom Controls wrapping 3rd-party libs.pptxUI5ers live - Custom Controls wrapping 3rd-party libs.pptx
UI5ers live - Custom Controls wrapping 3rd-party libs.pptx
 
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
 
What is Advanced Excel and what are some best practices for designing and cre...
What is Advanced Excel and what are some best practices for designing and cre...What is Advanced Excel and what are some best practices for designing and cre...
What is Advanced Excel and what are some best practices for designing and cre...
 
Simplifying Microservices & Apps - The art of effortless development - Meetup...
Simplifying Microservices & Apps - The art of effortless development - Meetup...Simplifying Microservices & Apps - The art of effortless development - Meetup...
Simplifying Microservices & Apps - The art of effortless development - Meetup...
 
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
 
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...