Submit Search
Upload
Spark Summit presentation by Ken Tsai
•
Download as PPTX, PDF
•
2 likes
•
1,650 views
Spark Summit
Follow
Spark Summit East keynote
Read less
Read more
Data & Analytics
Report
Share
Report
Share
1 of 14
Download now
Recommended
Spark Summit Keynote by Seshu Adunuthula
Spark Summit Keynote by Seshu Adunuthula
Spark Summit
Spark Usage in Enterprise Business Operations
Spark Usage in Enterprise Business Operations
SAP Technology
Spark Summit Keynote by Shaun Connolly
Spark Summit Keynote by Shaun Connolly
Spark Summit
Spark and the Enterprise by Tony Baer
Spark and the Enterprise by Tony Baer
Spark Summit
Spark Summit Keynote by Suren Nathan
Spark Summit Keynote by Suren Nathan
Spark Summit
Building a Just in Time Data Warehouse by Dan Morris and Jason Pohl
Building a Just in Time Data Warehouse by Dan Morris and Jason Pohl
Spark Summit
Spark Summit East Keynote by Anjul Bhambhri
Spark Summit East Keynote by Anjul Bhambhri
Jen Aman
HANA Intro (KR)
HANA Intro (KR)
Jim Miller, MBA
Recommended
Spark Summit Keynote by Seshu Adunuthula
Spark Summit Keynote by Seshu Adunuthula
Spark Summit
Spark Usage in Enterprise Business Operations
Spark Usage in Enterprise Business Operations
SAP Technology
Spark Summit Keynote by Shaun Connolly
Spark Summit Keynote by Shaun Connolly
Spark Summit
Spark and the Enterprise by Tony Baer
Spark and the Enterprise by Tony Baer
Spark Summit
Spark Summit Keynote by Suren Nathan
Spark Summit Keynote by Suren Nathan
Spark Summit
Building a Just in Time Data Warehouse by Dan Morris and Jason Pohl
Building a Just in Time Data Warehouse by Dan Morris and Jason Pohl
Spark Summit
Spark Summit East Keynote by Anjul Bhambhri
Spark Summit East Keynote by Anjul Bhambhri
Jen Aman
HANA Intro (KR)
HANA Intro (KR)
Jim Miller, MBA
Spark meets Smart Meters
Spark meets Smart Meters
DataWorks Summit/Hadoop Summit
Oracle Stream Analytics - Developer Introduction
Oracle Stream Analytics - Developer Introduction
Jeffrey T. Pollock
Data in Motion vs Data at Rest
Data in Motion vs Data at Rest
Internap
Journey to Creating a 360 View of the Customer: Implementing Big Data Strateg...
Journey to Creating a 360 View of the Customer: Implementing Big Data Strateg...
Databricks
Loan Decisioning Transformation
Loan Decisioning Transformation
DataWorks Summit/Hadoop Summit
DataOps on Streaming Data: From Kafka to InfluxDB via Kubernetes Native Flows...
DataOps on Streaming Data: From Kafka to InfluxDB via Kubernetes Native Flows...
InfluxData
Unlocking Value in Device Data Using Spark: Spark Summit East talk by John La...
Unlocking Value in Device Data Using Spark: Spark Summit East talk by John La...
Spark Summit
The Challenge of Driving Business Value from the Analytics of Things (AOT)
The Challenge of Driving Business Value from the Analytics of Things (AOT)
DataWorks Summit/Hadoop Summit
Optimizing industrial operations using the big data ecosystem
Optimizing industrial operations using the big data ecosystem
DataWorks Summit
Operationalizing Edge Machine Learning with Apache Spark with Nisha Talagala ...
Operationalizing Edge Machine Learning with Apache Spark with Nisha Talagala ...
Databricks
Mastering Your Customer Data on Apache Spark by Elliott Cordo
Mastering Your Customer Data on Apache Spark by Elliott Cordo
Spark Summit
Ford
Ford
DataWorks Summit/Hadoop Summit
Democratizing data science Using spark, hive and druid
Democratizing data science Using spark, hive and druid
DataWorks Summit
Personalization using Machine Learning
Personalization using Machine Learning
Mukul Sood
Splunk Architecture
Splunk Architecture
Kishore Chaganti
Using Hadoop for Cognitive Analytics
Using Hadoop for Cognitive Analytics
DataWorks Summit/Hadoop Summit
Analysing data analytics use cases to understand big data platform
Analysing data analytics use cases to understand big data platform
dataeaze systems
Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...
Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...
Kai Wähner
The Impact of SMACT on the Data Management Stack
The Impact of SMACT on the Data Management Stack
SnapLogic
SAP HANA Database
SAP HANA Database
Mayuree Srikulwong
Spark Summit Keynote with Ken Tsai
Spark Summit Keynote with Ken Tsai
Spark Summit
S4 1610 business value l1
S4 1610 business value l1
Kathryn Butterfuss
More Related Content
What's hot
Spark meets Smart Meters
Spark meets Smart Meters
DataWorks Summit/Hadoop Summit
Oracle Stream Analytics - Developer Introduction
Oracle Stream Analytics - Developer Introduction
Jeffrey T. Pollock
Data in Motion vs Data at Rest
Data in Motion vs Data at Rest
Internap
Journey to Creating a 360 View of the Customer: Implementing Big Data Strateg...
Journey to Creating a 360 View of the Customer: Implementing Big Data Strateg...
Databricks
Loan Decisioning Transformation
Loan Decisioning Transformation
DataWorks Summit/Hadoop Summit
DataOps on Streaming Data: From Kafka to InfluxDB via Kubernetes Native Flows...
DataOps on Streaming Data: From Kafka to InfluxDB via Kubernetes Native Flows...
InfluxData
Unlocking Value in Device Data Using Spark: Spark Summit East talk by John La...
Unlocking Value in Device Data Using Spark: Spark Summit East talk by John La...
Spark Summit
The Challenge of Driving Business Value from the Analytics of Things (AOT)
The Challenge of Driving Business Value from the Analytics of Things (AOT)
DataWorks Summit/Hadoop Summit
Optimizing industrial operations using the big data ecosystem
Optimizing industrial operations using the big data ecosystem
DataWorks Summit
Operationalizing Edge Machine Learning with Apache Spark with Nisha Talagala ...
Operationalizing Edge Machine Learning with Apache Spark with Nisha Talagala ...
Databricks
Mastering Your Customer Data on Apache Spark by Elliott Cordo
Mastering Your Customer Data on Apache Spark by Elliott Cordo
Spark Summit
Ford
Ford
DataWorks Summit/Hadoop Summit
Democratizing data science Using spark, hive and druid
Democratizing data science Using spark, hive and druid
DataWorks Summit
Personalization using Machine Learning
Personalization using Machine Learning
Mukul Sood
Splunk Architecture
Splunk Architecture
Kishore Chaganti
Using Hadoop for Cognitive Analytics
Using Hadoop for Cognitive Analytics
DataWorks Summit/Hadoop Summit
Analysing data analytics use cases to understand big data platform
Analysing data analytics use cases to understand big data platform
dataeaze systems
Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...
Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...
Kai Wähner
The Impact of SMACT on the Data Management Stack
The Impact of SMACT on the Data Management Stack
SnapLogic
SAP HANA Database
SAP HANA Database
Mayuree Srikulwong
What's hot
(20)
Spark meets Smart Meters
Spark meets Smart Meters
Oracle Stream Analytics - Developer Introduction
Oracle Stream Analytics - Developer Introduction
Data in Motion vs Data at Rest
Data in Motion vs Data at Rest
Journey to Creating a 360 View of the Customer: Implementing Big Data Strateg...
Journey to Creating a 360 View of the Customer: Implementing Big Data Strateg...
Loan Decisioning Transformation
Loan Decisioning Transformation
DataOps on Streaming Data: From Kafka to InfluxDB via Kubernetes Native Flows...
DataOps on Streaming Data: From Kafka to InfluxDB via Kubernetes Native Flows...
Unlocking Value in Device Data Using Spark: Spark Summit East talk by John La...
Unlocking Value in Device Data Using Spark: Spark Summit East talk by John La...
The Challenge of Driving Business Value from the Analytics of Things (AOT)
The Challenge of Driving Business Value from the Analytics of Things (AOT)
Optimizing industrial operations using the big data ecosystem
Optimizing industrial operations using the big data ecosystem
Operationalizing Edge Machine Learning with Apache Spark with Nisha Talagala ...
Operationalizing Edge Machine Learning with Apache Spark with Nisha Talagala ...
Mastering Your Customer Data on Apache Spark by Elliott Cordo
Mastering Your Customer Data on Apache Spark by Elliott Cordo
Ford
Ford
Democratizing data science Using spark, hive and druid
Democratizing data science Using spark, hive and druid
Personalization using Machine Learning
Personalization using Machine Learning
Splunk Architecture
Splunk Architecture
Using Hadoop for Cognitive Analytics
Using Hadoop for Cognitive Analytics
Analysing data analytics use cases to understand big data platform
Analysing data analytics use cases to understand big data platform
Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...
Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...
The Impact of SMACT on the Data Management Stack
The Impact of SMACT on the Data Management Stack
SAP HANA Database
SAP HANA Database
Similar to Spark Summit presentation by Ken Tsai
Spark Summit Keynote with Ken Tsai
Spark Summit Keynote with Ken Tsai
Spark Summit
S4 1610 business value l1
S4 1610 business value l1
Kathryn Butterfuss
Webinar SAP BusinessObjects Cloud (English)
Webinar SAP BusinessObjects Cloud (English)
Mauricio Cubillos Ocampo
02_SAP_S4HANA_Value_Roadmap_Next_Generation_Suite2.pdf
02_SAP_S4HANA_Value_Roadmap_Next_Generation_Suite2.pdf
diamondfire201
Driving digital transformation in Automotive industry
Driving digital transformation in Automotive industry
Debashis Majumder
SAP Cloud Strategy & References
SAP Cloud Strategy & References
Tolga Sağlık
S/4HANA, the next generation Business Suite
S/4HANA, the next generation Business Suite
NRB
SAP Analytics Overview and Strategy
SAP Analytics Overview and Strategy
Guenter Plahl
SAP Vora CodeJam
SAP Vora CodeJam
Vitaliy Rudnytskiy
BPI_Topic #3_Introduction to SAP S4HANA (1)-merged (1).pdf
BPI_Topic #3_Introduction to SAP S4HANA (1)-merged (1).pdf
1705Savani
Sapwebinar2 how 2transition2s4hanagetyourdatacleanandkeepitclean1569951002523
Sapwebinar2 how 2transition2s4hanagetyourdatacleanandkeepitclean1569951002523
Steffen König
Sourcing and Procurement Excellence in a Networked World
Sourcing and Procurement Excellence in a Networked World
SAP Ariba
Dev207 berlin
Dev207 berlin
Wolfgang Weiss
#askSAP Analytics Innovations Community Call: Reimagine Analytics for the Dig...
#askSAP Analytics Innovations Community Call: Reimagine Analytics for the Dig...
SAP Analytics
Dmm300 – mixed scenarios for sap hana data warehousing and BW: overview and e...
Dmm300 – mixed scenarios for sap hana data warehousing and BW: overview and e...
Luc Vanrobays
Disaster Recovery for SAP HANA with SUSE Linux
Disaster Recovery for SAP HANA with SUSE Linux
Dirk Oppenkowski
S4F01_EN_Col17 Financial Accounting in SAP S4HANA for SAP ERP FI Professional...
S4F01_EN_Col17 Financial Accounting in SAP S4HANA for SAP ERP FI Professional...
lakshmi vara
Overview of SAP HANA Cloud Platform
Overview of SAP HANA Cloud Platform
Vitaliy Rudnytskiy
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...
SAP Analytics
SAP HANA Data Center Intelligence Overview
SAP HANA Data Center Intelligence Overview
SAP Technology
Similar to Spark Summit presentation by Ken Tsai
(20)
Spark Summit Keynote with Ken Tsai
Spark Summit Keynote with Ken Tsai
S4 1610 business value l1
S4 1610 business value l1
Webinar SAP BusinessObjects Cloud (English)
Webinar SAP BusinessObjects Cloud (English)
02_SAP_S4HANA_Value_Roadmap_Next_Generation_Suite2.pdf
02_SAP_S4HANA_Value_Roadmap_Next_Generation_Suite2.pdf
Driving digital transformation in Automotive industry
Driving digital transformation in Automotive industry
SAP Cloud Strategy & References
SAP Cloud Strategy & References
S/4HANA, the next generation Business Suite
S/4HANA, the next generation Business Suite
SAP Analytics Overview and Strategy
SAP Analytics Overview and Strategy
SAP Vora CodeJam
SAP Vora CodeJam
BPI_Topic #3_Introduction to SAP S4HANA (1)-merged (1).pdf
BPI_Topic #3_Introduction to SAP S4HANA (1)-merged (1).pdf
Sapwebinar2 how 2transition2s4hanagetyourdatacleanandkeepitclean1569951002523
Sapwebinar2 how 2transition2s4hanagetyourdatacleanandkeepitclean1569951002523
Sourcing and Procurement Excellence in a Networked World
Sourcing and Procurement Excellence in a Networked World
Dev207 berlin
Dev207 berlin
#askSAP Analytics Innovations Community Call: Reimagine Analytics for the Dig...
#askSAP Analytics Innovations Community Call: Reimagine Analytics for the Dig...
Dmm300 – mixed scenarios for sap hana data warehousing and BW: overview and e...
Dmm300 – mixed scenarios for sap hana data warehousing and BW: overview and e...
Disaster Recovery for SAP HANA with SUSE Linux
Disaster Recovery for SAP HANA with SUSE Linux
S4F01_EN_Col17 Financial Accounting in SAP S4HANA for SAP ERP FI Professional...
S4F01_EN_Col17 Financial Accounting in SAP S4HANA for SAP ERP FI Professional...
Overview of SAP HANA Cloud Platform
Overview of SAP HANA Cloud Platform
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...
SAP HANA Data Center Intelligence Overview
SAP HANA Data Center Intelligence Overview
More from 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
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...
Spark Summit
Apache Spark Structured Streaming Helps Smart Manufacturing with Xiaochang Wu
Apache Spark Structured Streaming Helps Smart Manufacturing with Xiaochang Wu
Spark Summit
Improving Traffic Prediction Using Weather Data with Ramya Raghavendra
Improving Traffic Prediction Using Weather Data with Ramya Raghavendra
Spark 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...
Spark Summit
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 Dowling
Spark Summit
Apache Spark and Tensorflow as a Service with Jim Dowling
Apache Spark and Tensorflow as a Service with Jim Dowling
Spark Summit
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 Wozniak
Spark Summit
Powering a Startup with Apache Spark with Kevin Kim
Powering a Startup with Apache Spark with Kevin Kim
Spark Summit
Improving Traffic Prediction Using Weather Datawith Ramya Raghavendra
Improving Traffic Prediction Using Weather Datawith Ramya Raghavendra
Spark Summit
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...
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...
Spark Summit
Goal Based Data Production with Sim Simeonov
Goal Based Data Production with Sim Simeonov
Spark Summit
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 Volk
Spark Summit
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...
Spark Summit
More from 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
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 Wu
Improving 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...
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 Dowling
Apache 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...
Next 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 Kim
Improving 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—...
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...
Goal 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...
Getting 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...
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...
Recently uploaded
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
hf8803863
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
soniya singh
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICS
Aishani27
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Rachmat Ramadhan H
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
thyngster
04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships
ccctableauusergroup
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
Call Girls In Delhi Whatsup 9873940964 Enjoy Unlimited Pleasure
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
Suhani Kapoor
Aminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
Aminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
makika9823
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Social Samosa
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
shivangimorya083
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Delhi Call girls
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
shivangimorya083
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts Service
Sapana Sha
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
Lars Albertsson
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
dajasot375
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998
YohFuh
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
Neil Barnes
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
Suhani Kapoor
Recently uploaded
(20)
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICS
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
Aminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
Aminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts Service
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
Spark Summit presentation by Ken Tsai
1.
Spark Usage in Enterprise
Business Operations Ken Tsai VP, Data Management & Platform-as-Services SAP @kentsaiSAP 2.17.16: Spark Summit, NYC
2.
© 2016 SAP
SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16 © 2016 SAP SE or an SAP affiliate company. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. Please see http://global12.sap.com/corporate-en/legal/copyright/index.epx for additional trademark information and notices. Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP SE or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE or SAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliated companies’ strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forward- looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
3.
© 2016 SAP
SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16 SAP – Our Quick Snapshot in the Enterprise Computing World 74% of the world’s transaction revenue touches an SAP system. SAP’s product focus: Enterprise Applications Business Networks Platforms – 15 yrs on IMC SAP customers represent 87% of Forbes Global 2,000 companies. SAP touches $16 trillion of world consumer purchases.
4.
© 2016 SAP
SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16 SAP HANA – An In-Memory Platform to Enable New Business Scenarios Previously Not Feasible COSPCOEPCOBKBKPF BSEG BSEG BSEG BSIS BSIS BSIK BSET LFC1 GLT0 GLT0 GLT0 SAP Simple Finance 4 0 updatesinserts SAP Finance with aggregates and indices 10 5 no indices no aggregates no redundancies CORE DATA STRUCTURE REMAINS UNCHANGED • Soft financial close anytime • Real-time revenue and cost analysis • Real-time liquidity forecasts • Real-time alerts and blocks on suspicious transactions
5.
© 2016 SAP
SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16 Distributed Big Data Is Everywhere How to better use it in core enterprise business applications? ~79% of Data Reservoirs/Lakes are still disconnected from core business operations How do I embed big data signal into my business applications and enterprise analytics? 53 Difficulty integrating with CRM and/or other systems % 49 Unable to apply or integrate external data quickly enough to inform real-time decision making % 59 Only a few analysts with specialized training can analyze big data % Harvard Business Review Analytic Services, Global Survey of 251 Respondents, Sept. 2015
6.
© 2016 SAP
SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16 Introducing SAP HANA Vora An in-memory query engine that extends the Apache Spark execution framework to enrich the interactive analytics experiences on massively distributed computing clusters • OLAP processing • In-Memory Computing for high performance • Connecting to Enterprise Systems • Unified System Management SAP HANA ERP DATA BIG DATA Parallelized Queries Vora
7.
© 2016 SAP
SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16 Key Open Source Contribution to Apache Spark Ecosystem Spark to HANA Push-downs & Data Hierarchies scala> val hierarchy = sqlContext.sql( s""" SELECT LVL, COUNT(*), ROUND( AVG(P_RETAILPRICE), 2) FROM ( SELECT LEVEL(node) AS LVL, P_RETAILPRICE FROM HIERARCHY( USING PART_HIERARCHY AS c JOIN PARENT p ON c.P_PARENT = p.P_PARTKEY SEARCH BY P_PARTKEY ASC START WHERE P_PARTKEY = 1 SET node ) AS H0 ) T1 GROUP BY LVL """.stripMargin ).collect().foreach(println) 90 1 90 3 91 3 91 2 90 4 91 1 +---+---+------------+ |LEVEL|COUNT|AVG(P_RETAILPRICE)| +-----+-----+------------------+ | 0 | 1 | 901 | | 1 | 2 | 903.5 | | 2 | 3 | 912 | +-----+-----+------------------+ val options = Map("dbschema" -> config.user,"host" -> config.host,"instance" -> config.instance) # HANA Live CustomerBasicData Virtual Data Model val custConf = options + ("path" -> s"""sap.hba.ecc/CustomerBasicData""") val cust = sqlContext.read.format("com.sap.spark.hana").options(custConf).load() cust.registerTempTable("customer") # HANA Live SalesOrderHeader VDM val sohConf = options + ("path" -> s"""sap.hba.ecc/SalesOrderHeader""") val soh = sqlContext.read.format("com.sap.spark.hana").options(sohConf).load() soh.registerTempTable(soh) # Top 5 Countries by Sales Order Volume salesOrder = sqlContext.sql("select "Country",count(*) as Frequency from salesOrder as s LEFT OUTER JOIN customer as c on s.soldToParty = c.Customer GROUP BY Country ORDER BY Frequency desc”)
8.
© 2016 SAP
SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16 Airline Use Case – Optimize MRO scheduling with Sensor Data Challenges • $10,000 loss for every hour spent on maintenance, repair, and overhaul (MRO) • Predictive MRO generates TB of sensor data per flight Solution • SAP HANA Vora rapidly processes sensor data in HDFS and combines it with flight schedule and staffing data in SAP HANA to prioritize maintenance jobs and accelerate MRO Why SAP HANA Vora • Optimize MRO operations with interactive, on-demand drill down by airport, flight route, etc. © 2016 SAP SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16
9.
© 2016 SAP
SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16 Utility Use Case – CenterPoint Energy Challenge • Smart meters generate TBs of data/month • Regulatory requirement to retain data for 10 years • Current storage solution full by end-2016 • Need to leverage HDFS as an additional tier for storage Solution • SAP HANA for most recent sensor signal and operational data, Dynamic Tiering for 1~2yrs old data, HDFS for historical sensor data • SAP HANA Vora accesses and queries data across all tiers Why SAP HANA Vora • SAP HANA Vora provides enterprise analytics & OLAP like experience across data warehouse and HDFS. © 2016 SAP SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16
10.
© 2016 SAP
SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16 Utility Use Case – How It Works CenterPoint Energy Our benchmark tests proved that SAP HANA paired with SAP HANA Vora are the right solutions for us. We expect immediate cost benefits and to see competitive differentiation in the future.” Gary Hayes, CIO & SVP at CenterPoint Energy © 2016 SAP SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16 SAP HANA MOST RECENT SENSOR DATA Dynamie Tiering 1-2 YR OLD DATA Parallelized Queries HDFS HISTORICAL SENSOR DATA Query data within and across tiers
11.
© 2016 SAP
SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16 Financial Services Use Case – Extend Fraud Pattern Detection Challenges • 100+ million business transactions daily, 25% growth YoY • Limited access to archived data • Difficult to detect patterns in historical transactions Solution • Current transactions in SAP HANA, historical transactions in HDFS clusters • Real-time detection of abnormalities Why SAP HANA Vora • Real-time, aggregated insights from current and historical transactions © 2016 SAP SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16
12.
© 2016 SAP
SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16 2016 and the Road Ahead Customers in North America, APJ, and EMEA Dev edition available on AWS TODAY General Availability Vora Modeler to build and query OLAP style cubes on data COMING SOON Planning (HR, Financial) Extend engine support for time series Transaction management Analytics on archived ERP data in Hadoop FUTURE
13.
© 2016 SAP
SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16© 2016 SAP SE or an SAP affiliate company. All rights reserved. Spark Summit New York, 2.17.16 Contribute to Spark Ecosystem, Embrace Best of Community Innovation Contribution to Open Source: Hierarchy capabilities Connection to ERP: predicate pushdown to HANA
14.
Thank you! Ken Tsai:
ken.tsai@sap.com @kentsaiSAP Enter to Win a GoPro HERO4 Session at SAP Booth 102 Learn More @ hana.sap.com/vora Try Dev Edition bit.ly/1K1qLyo We’re Hiring: https://spark-summit.org/east-2016/jobs/
Download now