SlideShare a Scribd company logo
1 of 4
Dell - Internal Use - Confidential
Modernize your Hadoop infrastructure:
An industry panel presentation
Dell | Intel | Cloudera | Syncsort
Dell - Internal Use - Confidential
Panel Discussion Speakers
Armando Acosta, Dell
Armando Acosta has been involved in the IT
Industry over the last 15 years with experience in
architecting IT solutions and product-
marketing, management, planning, and strategy.
Armando’s latest role has been focused on Big
Data/Hadoop solutions, addressing solutions
that evolve new capabilities for emerging
customer needs, and assist with the roadmap
for new products and features.
Vin Sharma, Intel
Brandon Draeger, Intel
Brandon is a Director of Marketing and Business
Development for Big Data Solutions at Intel and
manages the GTM relationship for Intel and
Cloudera and their shared partner ecosystem.
Brandon has over 15 years of experience in a
variety of enterprise technology disciplines and
has held roles in engineering, product
management, and strategy at Dell, Symantec,
and Dorado Software..
Dell - Internal Use - Confidential
Panel Discussion Speakers
TJ Laher, Cloudera
TJ Laher works on the product marketing team
at Cloudera where he helps organizations
across industries implement Hadoop in order to
become data driven. Before Cloudera, TJ
worked with an early stage advanced analytics
startup called Ayasdi. While at Ayasdi he helped
Fortune 500 companies mine high dimensional
data to deploy novel big data applications.
Vin Sharma, Intel
Mark Muncy, Syncsort
Mark Muncy leads Technical Product Marketing
for Syncsort’s Big Data portfolio, working with
technical and client-facing teams to deliver
high-value solutions to the most data intensive
companies in the world. Mark brings to his
current role over a decade of hands-on
experience in data architecture and ETL
development in the gaming, data services, &
financial services industries.
Dell - Internal Use - Confidential

More Related Content

What's hot

2014.07.11 biginsights data2014
2014.07.11 biginsights data20142014.07.11 biginsights data2014
2014.07.11 biginsights data2014Wilfried Hoge
 
Ambari Meetup: 2nd April 2013: Teradata Viewpoint Hadoop Integration with Ambari
Ambari Meetup: 2nd April 2013: Teradata Viewpoint Hadoop Integration with AmbariAmbari Meetup: 2nd April 2013: Teradata Viewpoint Hadoop Integration with Ambari
Ambari Meetup: 2nd April 2013: Teradata Viewpoint Hadoop Integration with AmbariHortonworks
 
Hitachi Data Systems Hadoop Solution
Hitachi Data Systems Hadoop SolutionHitachi Data Systems Hadoop Solution
Hitachi Data Systems Hadoop SolutionHitachi Vantara
 
Making Bank Predictive and Real-Time
Making Bank Predictive and Real-TimeMaking Bank Predictive and Real-Time
Making Bank Predictive and Real-TimeDataWorks Summit
 
Realizing the Promise of Big Data with Hadoop - Cloudera Summer Webinar Serie...
Realizing the Promise of Big Data with Hadoop - Cloudera Summer Webinar Serie...Realizing the Promise of Big Data with Hadoop - Cloudera Summer Webinar Serie...
Realizing the Promise of Big Data with Hadoop - Cloudera Summer Webinar Serie...Cloudera, Inc.
 
Get Started Quickly with IBM's Hadoop as a Service
Get Started Quickly with IBM's Hadoop as a ServiceGet Started Quickly with IBM's Hadoop as a Service
Get Started Quickly with IBM's Hadoop as a ServiceIBM Cloud Data Services
 
Oil and gas big data edition
Oil and gas  big data editionOil and gas  big data edition
Oil and gas big data editionMark Kerzner
 
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, Cloudera
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, ClouderaMongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, Cloudera
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, ClouderaMongoDB
 
InfoSphere BigInsights
InfoSphere BigInsightsInfoSphere BigInsights
InfoSphere BigInsightsWilfried Hoge
 
Partners 2013 LinkedIn Use Cases for Teradata Connectors for Hadoop
Partners 2013 LinkedIn Use Cases for Teradata Connectors for HadoopPartners 2013 LinkedIn Use Cases for Teradata Connectors for Hadoop
Partners 2013 LinkedIn Use Cases for Teradata Connectors for HadoopEric Sun
 
Moving Health Care Analytics to Hadoop to Build a Better Predictive Model
Moving Health Care Analytics to Hadoop to Build a Better Predictive ModelMoving Health Care Analytics to Hadoop to Build a Better Predictive Model
Moving Health Care Analytics to Hadoop to Build a Better Predictive ModelDataWorks Summit
 
Use dependency injection to get Hadoop *out* of your application code
Use dependency injection to get Hadoop *out* of your application codeUse dependency injection to get Hadoop *out* of your application code
Use dependency injection to get Hadoop *out* of your application codeDataWorks Summit
 
Keynote: The Journey to Pervasive Analytics
Keynote: The Journey to Pervasive AnalyticsKeynote: The Journey to Pervasive Analytics
Keynote: The Journey to Pervasive AnalyticsCloudera, Inc.
 
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
The Practice of Big Data - The Hadoop ecosystem explained with usage scenariosThe Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarioskcmallu
 
Building intelligent applications, experimental ML with Uber’s Data Science W...
Building intelligent applications, experimental ML with Uber’s Data Science W...Building intelligent applications, experimental ML with Uber’s Data Science W...
Building intelligent applications, experimental ML with Uber’s Data Science W...DataWorks Summit
 
InfoSphere BigInsights - Analytics power for Hadoop - field experience
InfoSphere BigInsights - Analytics power for Hadoop - field experienceInfoSphere BigInsights - Analytics power for Hadoop - field experience
InfoSphere BigInsights - Analytics power for Hadoop - field experienceWilfried Hoge
 
Presentacin webinar move_up_to_power8_with_scale_out_servers_final
Presentacin webinar move_up_to_power8_with_scale_out_servers_finalPresentacin webinar move_up_to_power8_with_scale_out_servers_final
Presentacin webinar move_up_to_power8_with_scale_out_servers_finalDiego Alberto Tamayo
 
A beginners guide to Cloudera Hadoop
A beginners guide to Cloudera HadoopA beginners guide to Cloudera Hadoop
A beginners guide to Cloudera HadoopDavid Yahalom
 
2012 10 bigdata_overview
2012 10 bigdata_overview2012 10 bigdata_overview
2012 10 bigdata_overviewjdijcks
 

What's hot (20)

2014.07.11 biginsights data2014
2014.07.11 biginsights data20142014.07.11 biginsights data2014
2014.07.11 biginsights data2014
 
Ambari Meetup: 2nd April 2013: Teradata Viewpoint Hadoop Integration with Ambari
Ambari Meetup: 2nd April 2013: Teradata Viewpoint Hadoop Integration with AmbariAmbari Meetup: 2nd April 2013: Teradata Viewpoint Hadoop Integration with Ambari
Ambari Meetup: 2nd April 2013: Teradata Viewpoint Hadoop Integration with Ambari
 
Hitachi Data Systems Hadoop Solution
Hitachi Data Systems Hadoop SolutionHitachi Data Systems Hadoop Solution
Hitachi Data Systems Hadoop Solution
 
Making Bank Predictive and Real-Time
Making Bank Predictive and Real-TimeMaking Bank Predictive and Real-Time
Making Bank Predictive and Real-Time
 
Realizing the Promise of Big Data with Hadoop - Cloudera Summer Webinar Serie...
Realizing the Promise of Big Data with Hadoop - Cloudera Summer Webinar Serie...Realizing the Promise of Big Data with Hadoop - Cloudera Summer Webinar Serie...
Realizing the Promise of Big Data with Hadoop - Cloudera Summer Webinar Serie...
 
Get Started Quickly with IBM's Hadoop as a Service
Get Started Quickly with IBM's Hadoop as a ServiceGet Started Quickly with IBM's Hadoop as a Service
Get Started Quickly with IBM's Hadoop as a Service
 
Oil and gas big data edition
Oil and gas  big data editionOil and gas  big data edition
Oil and gas big data edition
 
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, Cloudera
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, ClouderaMongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, Cloudera
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, Cloudera
 
InfoSphere BigInsights
InfoSphere BigInsightsInfoSphere BigInsights
InfoSphere BigInsights
 
Partners 2013 LinkedIn Use Cases for Teradata Connectors for Hadoop
Partners 2013 LinkedIn Use Cases for Teradata Connectors for HadoopPartners 2013 LinkedIn Use Cases for Teradata Connectors for Hadoop
Partners 2013 LinkedIn Use Cases for Teradata Connectors for Hadoop
 
Moving Health Care Analytics to Hadoop to Build a Better Predictive Model
Moving Health Care Analytics to Hadoop to Build a Better Predictive ModelMoving Health Care Analytics to Hadoop to Build a Better Predictive Model
Moving Health Care Analytics to Hadoop to Build a Better Predictive Model
 
Use dependency injection to get Hadoop *out* of your application code
Use dependency injection to get Hadoop *out* of your application codeUse dependency injection to get Hadoop *out* of your application code
Use dependency injection to get Hadoop *out* of your application code
 
Keynote: The Journey to Pervasive Analytics
Keynote: The Journey to Pervasive AnalyticsKeynote: The Journey to Pervasive Analytics
Keynote: The Journey to Pervasive Analytics
 
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
The Practice of Big Data - The Hadoop ecosystem explained with usage scenariosThe Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
 
Destroying Data Silos
Destroying Data SilosDestroying Data Silos
Destroying Data Silos
 
Building intelligent applications, experimental ML with Uber’s Data Science W...
Building intelligent applications, experimental ML with Uber’s Data Science W...Building intelligent applications, experimental ML with Uber’s Data Science W...
Building intelligent applications, experimental ML with Uber’s Data Science W...
 
InfoSphere BigInsights - Analytics power for Hadoop - field experience
InfoSphere BigInsights - Analytics power for Hadoop - field experienceInfoSphere BigInsights - Analytics power for Hadoop - field experience
InfoSphere BigInsights - Analytics power for Hadoop - field experience
 
Presentacin webinar move_up_to_power8_with_scale_out_servers_final
Presentacin webinar move_up_to_power8_with_scale_out_servers_finalPresentacin webinar move_up_to_power8_with_scale_out_servers_final
Presentacin webinar move_up_to_power8_with_scale_out_servers_final
 
A beginners guide to Cloudera Hadoop
A beginners guide to Cloudera HadoopA beginners guide to Cloudera Hadoop
A beginners guide to Cloudera Hadoop
 
2012 10 bigdata_overview
2012 10 bigdata_overview2012 10 bigdata_overview
2012 10 bigdata_overview
 

Viewers also liked

Superior Document Solutions Simplifies IT Environment with Hyperconvergence
Superior Document Solutions Simplifies IT Environment with HyperconvergenceSuperior Document Solutions Simplifies IT Environment with Hyperconvergence
Superior Document Solutions Simplifies IT Environment with HyperconvergenceSpringpath
 
HBase and Drill: How loosley typed SQL is ideal for NoSQL
HBase and Drill: How loosley typed SQL is ideal for NoSQLHBase and Drill: How loosley typed SQL is ideal for NoSQL
HBase and Drill: How loosley typed SQL is ideal for NoSQLDataWorks Summit
 
Big Data Simplified - Is all about Ab'strakSHeN
Big Data Simplified - Is all about Ab'strakSHeNBig Data Simplified - Is all about Ab'strakSHeN
Big Data Simplified - Is all about Ab'strakSHeNDataWorks Summit
 
One Click Hadoop Clusters - Anywhere (Using Docker)
One Click Hadoop Clusters - Anywhere (Using Docker)One Click Hadoop Clusters - Anywhere (Using Docker)
One Click Hadoop Clusters - Anywhere (Using Docker)DataWorks Summit
 
Practical Distributed Machine Learning Pipelines on Hadoop
Practical Distributed Machine Learning Pipelines on HadoopPractical Distributed Machine Learning Pipelines on Hadoop
Practical Distributed Machine Learning Pipelines on HadoopDataWorks Summit
 
Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...
Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...
Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...DataWorks Summit
 
Inspiring Travel at Airbnb [WIP]
Inspiring Travel at Airbnb [WIP]Inspiring Travel at Airbnb [WIP]
Inspiring Travel at Airbnb [WIP]DataWorks Summit
 
Realistic Synthetic Generation Allows Secure Development
Realistic Synthetic Generation Allows Secure DevelopmentRealistic Synthetic Generation Allows Secure Development
Realistic Synthetic Generation Allows Secure DevelopmentDataWorks Summit
 
Hadoop in Validated Environment - Data Governance Initiative
Hadoop in Validated Environment - Data Governance InitiativeHadoop in Validated Environment - Data Governance Initiative
Hadoop in Validated Environment - Data Governance InitiativeDataWorks Summit
 
Karta an ETL Framework to process high volume datasets
Karta an ETL Framework to process high volume datasets Karta an ETL Framework to process high volume datasets
Karta an ETL Framework to process high volume datasets DataWorks Summit
 
Running Spark and MapReduce together in Production
Running Spark and MapReduce together in ProductionRunning Spark and MapReduce together in Production
Running Spark and MapReduce together in ProductionDataWorks Summit
 
Coexistence and Migration of Vendor HPC based infrastructure to Hadoop Ecosys...
Coexistence and Migration of Vendor HPC based infrastructure to Hadoop Ecosys...Coexistence and Migration of Vendor HPC based infrastructure to Hadoop Ecosys...
Coexistence and Migration of Vendor HPC based infrastructure to Hadoop Ecosys...DataWorks Summit
 
Carpe Datum: Building Big Data Analytical Applications with HP Haven
Carpe Datum: Building Big Data Analytical Applications with HP HavenCarpe Datum: Building Big Data Analytical Applications with HP Haven
Carpe Datum: Building Big Data Analytical Applications with HP HavenDataWorks Summit
 
The Most Valuable Customer on Earth-1298: Comic Book Analysis with Oracel's B...
The Most Valuable Customer on Earth-1298: Comic Book Analysis with Oracel's B...The Most Valuable Customer on Earth-1298: Comic Book Analysis with Oracel's B...
The Most Valuable Customer on Earth-1298: Comic Book Analysis with Oracel's B...DataWorks Summit
 
Spark Application Development Made Easy
Spark Application Development Made EasySpark Application Development Made Easy
Spark Application Development Made EasyDataWorks Summit
 
DeathStar: Easy, Dynamic, Multi-Tenant HBase via YARN
DeathStar: Easy, Dynamic, Multi-Tenant HBase via YARNDeathStar: Easy, Dynamic, Multi-Tenant HBase via YARN
DeathStar: Easy, Dynamic, Multi-Tenant HBase via YARNDataWorks Summit
 
Open Source SQL for Hadoop: Where are we and Where are we Going?
Open Source SQL for Hadoop: Where are we and Where are we Going?Open Source SQL for Hadoop: Where are we and Where are we Going?
Open Source SQL for Hadoop: Where are we and Where are we Going?DataWorks Summit
 

Viewers also liked (20)

Superior Document Solutions Simplifies IT Environment with Hyperconvergence
Superior Document Solutions Simplifies IT Environment with HyperconvergenceSuperior Document Solutions Simplifies IT Environment with Hyperconvergence
Superior Document Solutions Simplifies IT Environment with Hyperconvergence
 
HBase and Drill: How loosley typed SQL is ideal for NoSQL
HBase and Drill: How loosley typed SQL is ideal for NoSQLHBase and Drill: How loosley typed SQL is ideal for NoSQL
HBase and Drill: How loosley typed SQL is ideal for NoSQL
 
Big Data Simplified - Is all about Ab'strakSHeN
Big Data Simplified - Is all about Ab'strakSHeNBig Data Simplified - Is all about Ab'strakSHeN
Big Data Simplified - Is all about Ab'strakSHeN
 
One Click Hadoop Clusters - Anywhere (Using Docker)
One Click Hadoop Clusters - Anywhere (Using Docker)One Click Hadoop Clusters - Anywhere (Using Docker)
One Click Hadoop Clusters - Anywhere (Using Docker)
 
Practical Distributed Machine Learning Pipelines on Hadoop
Practical Distributed Machine Learning Pipelines on HadoopPractical Distributed Machine Learning Pipelines on Hadoop
Practical Distributed Machine Learning Pipelines on Hadoop
 
Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...
Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...
Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...
 
Inspiring Travel at Airbnb [WIP]
Inspiring Travel at Airbnb [WIP]Inspiring Travel at Airbnb [WIP]
Inspiring Travel at Airbnb [WIP]
 
Realistic Synthetic Generation Allows Secure Development
Realistic Synthetic Generation Allows Secure DevelopmentRealistic Synthetic Generation Allows Secure Development
Realistic Synthetic Generation Allows Secure Development
 
Hadoop in Validated Environment - Data Governance Initiative
Hadoop in Validated Environment - Data Governance InitiativeHadoop in Validated Environment - Data Governance Initiative
Hadoop in Validated Environment - Data Governance Initiative
 
Karta an ETL Framework to process high volume datasets
Karta an ETL Framework to process high volume datasets Karta an ETL Framework to process high volume datasets
Karta an ETL Framework to process high volume datasets
 
Running Spark and MapReduce together in Production
Running Spark and MapReduce together in ProductionRunning Spark and MapReduce together in Production
Running Spark and MapReduce together in Production
 
50 Shades of SQL
50 Shades of SQL50 Shades of SQL
50 Shades of SQL
 
Coexistence and Migration of Vendor HPC based infrastructure to Hadoop Ecosys...
Coexistence and Migration of Vendor HPC based infrastructure to Hadoop Ecosys...Coexistence and Migration of Vendor HPC based infrastructure to Hadoop Ecosys...
Coexistence and Migration of Vendor HPC based infrastructure to Hadoop Ecosys...
 
Carpe Datum: Building Big Data Analytical Applications with HP Haven
Carpe Datum: Building Big Data Analytical Applications with HP HavenCarpe Datum: Building Big Data Analytical Applications with HP Haven
Carpe Datum: Building Big Data Analytical Applications with HP Haven
 
Hadoop for Genomics__HadoopSummit2010
Hadoop for Genomics__HadoopSummit2010Hadoop for Genomics__HadoopSummit2010
Hadoop for Genomics__HadoopSummit2010
 
The Most Valuable Customer on Earth-1298: Comic Book Analysis with Oracel's B...
The Most Valuable Customer on Earth-1298: Comic Book Analysis with Oracel's B...The Most Valuable Customer on Earth-1298: Comic Book Analysis with Oracel's B...
The Most Valuable Customer on Earth-1298: Comic Book Analysis with Oracel's B...
 
Spark Application Development Made Easy
Spark Application Development Made EasySpark Application Development Made Easy
Spark Application Development Made Easy
 
DeathStar: Easy, Dynamic, Multi-Tenant HBase via YARN
DeathStar: Easy, Dynamic, Multi-Tenant HBase via YARNDeathStar: Easy, Dynamic, Multi-Tenant HBase via YARN
DeathStar: Easy, Dynamic, Multi-Tenant HBase via YARN
 
NoSQL Needs SomeSQL
NoSQL Needs SomeSQLNoSQL Needs SomeSQL
NoSQL Needs SomeSQL
 
Open Source SQL for Hadoop: Where are we and Where are we Going?
Open Source SQL for Hadoop: Where are we and Where are we Going?Open Source SQL for Hadoop: Where are we and Where are we Going?
Open Source SQL for Hadoop: Where are we and Where are we Going?
 

Similar to Optimizing your Hadoop Infastructure: An Industry Panel Presentation

TDWI Speaker profiles
TDWI Speaker profilesTDWI Speaker profiles
TDWI Speaker profilestdwiindia
 
Dell value chain analysics model
Dell value chain analysics modelDell value chain analysics model
Dell value chain analysics modelMuhammad Manan
 
Patternbuilders Founder Showcase Deck
Patternbuilders Founder Showcase DeckPatternbuilders Founder Showcase Deck
Patternbuilders Founder Showcase DeckMaryLudloff
 
Dell Project Summaries
Dell Project SummariesDell Project Summaries
Dell Project SummariesPhil Favia
 
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the IT
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the ITCIO priorities and Data Virtualization: Balancing the Yin and Yang of the IT
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the ITDenodo
 
A Design Strategy for Dell
A Design Strategy for DellA Design Strategy for Dell
A Design Strategy for DellIzam Ryan
 
Jose Corripio291725Section 1 18Section 2 5StyleCites.docx
Jose Corripio291725Section 1 18Section 2 5StyleCites.docxJose Corripio291725Section 1 18Section 2 5StyleCites.docx
Jose Corripio291725Section 1 18Section 2 5StyleCites.docxchristiandean12115
 
Strategic Plan Part 1Jason R. NunnBUS 475June 6th.docx
Strategic Plan Part 1Jason R. NunnBUS 475June 6th.docxStrategic Plan Part 1Jason R. NunnBUS 475June 6th.docx
Strategic Plan Part 1Jason R. NunnBUS 475June 6th.docxflorriezhamphrey3065
 
How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
How to Build a Successful Data Team - Florian Douetteau (@Dataiku) How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
How to Build a Successful Data Team - Florian Douetteau (@Dataiku) Dataiku
 
How to Build a Successful Data Team - Florian Douetteau @ PAPIs Connect
How to Build a Successful Data Team - Florian Douetteau @ PAPIs ConnectHow to Build a Successful Data Team - Florian Douetteau @ PAPIs Connect
How to Build a Successful Data Team - Florian Douetteau @ PAPIs ConnectPAPIs.io
 
Dell in china
Dell in chinaDell in china
Dell in chinacomsats
 
Innovation @ Dell Inc. – Customer Driven innovation at the forefront
Innovation @ Dell Inc. – Customer Driven innovation at the forefrontInnovation @ Dell Inc. – Customer Driven innovation at the forefront
Innovation @ Dell Inc. – Customer Driven innovation at the forefrontRajesh Prabhakar
 
The Long Road of IT Systems Management Enters the Domain of AIOps-Fueled Auto...
The Long Road of IT Systems Management Enters the Domain of AIOps-Fueled Auto...The Long Road of IT Systems Management Enters the Domain of AIOps-Fueled Auto...
The Long Road of IT Systems Management Enters the Domain of AIOps-Fueled Auto...Dana Gardner
 
Silicon Review Article - 50 Best Workplaces 2016
Silicon Review Article - 50 Best Workplaces 2016Silicon Review Article - 50 Best Workplaces 2016
Silicon Review Article - 50 Best Workplaces 2016Tharun Sairam
 
BPM & Enterprise Middleware - Datasheet
BPM & Enterprise Middleware - DatasheetBPM & Enterprise Middleware - Datasheet
BPM & Enterprise Middleware - DatasheetXpand IT
 

Similar to Optimizing your Hadoop Infastructure: An Industry Panel Presentation (20)

TDWI Speaker profiles
TDWI Speaker profilesTDWI Speaker profiles
TDWI Speaker profiles
 
Dr Dinesh Chandrasekar LinkedIn Profile May 2020
Dr Dinesh Chandrasekar LinkedIn Profile May 2020Dr Dinesh Chandrasekar LinkedIn Profile May 2020
Dr Dinesh Chandrasekar LinkedIn Profile May 2020
 
Dell History
Dell HistoryDell History
Dell History
 
InterVision Overview 2016 Careers Page
InterVision Overview 2016 Careers PageInterVision Overview 2016 Careers Page
InterVision Overview 2016 Careers Page
 
InterVision Systems Overview
InterVision Systems OverviewInterVision Systems Overview
InterVision Systems Overview
 
Dell value chain analysics model
Dell value chain analysics modelDell value chain analysics model
Dell value chain analysics model
 
Patternbuilders Founder Showcase Deck
Patternbuilders Founder Showcase DeckPatternbuilders Founder Showcase Deck
Patternbuilders Founder Showcase Deck
 
Dell Project Summaries
Dell Project SummariesDell Project Summaries
Dell Project Summaries
 
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the IT
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the ITCIO priorities and Data Virtualization: Balancing the Yin and Yang of the IT
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the IT
 
A Design Strategy for Dell
A Design Strategy for DellA Design Strategy for Dell
A Design Strategy for Dell
 
Jose Corripio291725Section 1 18Section 2 5StyleCites.docx
Jose Corripio291725Section 1 18Section 2 5StyleCites.docxJose Corripio291725Section 1 18Section 2 5StyleCites.docx
Jose Corripio291725Section 1 18Section 2 5StyleCites.docx
 
Strategic Plan Part 1Jason R. NunnBUS 475June 6th.docx
Strategic Plan Part 1Jason R. NunnBUS 475June 6th.docxStrategic Plan Part 1Jason R. NunnBUS 475June 6th.docx
Strategic Plan Part 1Jason R. NunnBUS 475June 6th.docx
 
How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
How to Build a Successful Data Team - Florian Douetteau (@Dataiku) How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
 
How to Build a Successful Data Team - Florian Douetteau @ PAPIs Connect
How to Build a Successful Data Team - Florian Douetteau @ PAPIs ConnectHow to Build a Successful Data Team - Florian Douetteau @ PAPIs Connect
How to Build a Successful Data Team - Florian Douetteau @ PAPIs Connect
 
Dell in china
Dell in chinaDell in china
Dell in china
 
Best Practices in MDM, OAUG COLLABORATE 08
Best Practices in MDM, OAUG COLLABORATE 08Best Practices in MDM, OAUG COLLABORATE 08
Best Practices in MDM, OAUG COLLABORATE 08
 
Innovation @ Dell Inc. – Customer Driven innovation at the forefront
Innovation @ Dell Inc. – Customer Driven innovation at the forefrontInnovation @ Dell Inc. – Customer Driven innovation at the forefront
Innovation @ Dell Inc. – Customer Driven innovation at the forefront
 
The Long Road of IT Systems Management Enters the Domain of AIOps-Fueled Auto...
The Long Road of IT Systems Management Enters the Domain of AIOps-Fueled Auto...The Long Road of IT Systems Management Enters the Domain of AIOps-Fueled Auto...
The Long Road of IT Systems Management Enters the Domain of AIOps-Fueled Auto...
 
Silicon Review Article - 50 Best Workplaces 2016
Silicon Review Article - 50 Best Workplaces 2016Silicon Review Article - 50 Best Workplaces 2016
Silicon Review Article - 50 Best Workplaces 2016
 
BPM & Enterprise Middleware - Datasheet
BPM & Enterprise Middleware - DatasheetBPM & Enterprise Middleware - Datasheet
BPM & Enterprise Middleware - Datasheet
 

More from DataWorks Summit

Floating on a RAFT: HBase Durability with Apache Ratis
Floating on a RAFT: HBase Durability with Apache RatisFloating on a RAFT: HBase Durability with Apache Ratis
Floating on a RAFT: HBase Durability with Apache RatisDataWorks Summit
 
Tracking Crime as It Occurs with Apache Phoenix, Apache HBase and Apache NiFi
Tracking Crime as It Occurs with Apache Phoenix, Apache HBase and Apache NiFiTracking Crime as It Occurs with Apache Phoenix, Apache HBase and Apache NiFi
Tracking Crime as It Occurs with Apache Phoenix, Apache HBase and Apache NiFiDataWorks Summit
 
HBase Tales From the Trenches - Short stories about most common HBase operati...
HBase Tales From the Trenches - Short stories about most common HBase operati...HBase Tales From the Trenches - Short stories about most common HBase operati...
HBase Tales From the Trenches - Short stories about most common HBase operati...DataWorks Summit
 
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...DataWorks Summit
 
Managing the Dewey Decimal System
Managing the Dewey Decimal SystemManaging the Dewey Decimal System
Managing the Dewey Decimal SystemDataWorks Summit
 
Practical NoSQL: Accumulo's dirlist Example
Practical NoSQL: Accumulo's dirlist ExamplePractical NoSQL: Accumulo's dirlist Example
Practical NoSQL: Accumulo's dirlist ExampleDataWorks Summit
 
HBase Global Indexing to support large-scale data ingestion at Uber
HBase Global Indexing to support large-scale data ingestion at UberHBase Global Indexing to support large-scale data ingestion at Uber
HBase Global Indexing to support large-scale data ingestion at UberDataWorks Summit
 
Scaling Cloud-Scale Translytics Workloads with Omid and Phoenix
Scaling Cloud-Scale Translytics Workloads with Omid and PhoenixScaling Cloud-Scale Translytics Workloads with Omid and Phoenix
Scaling Cloud-Scale Translytics Workloads with Omid and PhoenixDataWorks Summit
 
Building the High Speed Cybersecurity Data Pipeline Using Apache NiFi
Building the High Speed Cybersecurity Data Pipeline Using Apache NiFiBuilding the High Speed Cybersecurity Data Pipeline Using Apache NiFi
Building the High Speed Cybersecurity Data Pipeline Using Apache NiFiDataWorks Summit
 
Supporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability ImprovementsSupporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability ImprovementsDataWorks Summit
 
Security Framework for Multitenant Architecture
Security Framework for Multitenant ArchitectureSecurity Framework for Multitenant Architecture
Security Framework for Multitenant ArchitectureDataWorks Summit
 
Presto: Optimizing Performance of SQL-on-Anything Engine
Presto: Optimizing Performance of SQL-on-Anything EnginePresto: Optimizing Performance of SQL-on-Anything Engine
Presto: Optimizing Performance of SQL-on-Anything EngineDataWorks Summit
 
Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...
Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...
Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...DataWorks Summit
 
Extending Twitter's Data Platform to Google Cloud
Extending Twitter's Data Platform to Google CloudExtending Twitter's Data Platform to Google Cloud
Extending Twitter's Data Platform to Google CloudDataWorks Summit
 
Event-Driven Messaging and Actions using Apache Flink and Apache NiFi
Event-Driven Messaging and Actions using Apache Flink and Apache NiFiEvent-Driven Messaging and Actions using Apache Flink and Apache NiFi
Event-Driven Messaging and Actions using Apache Flink and Apache NiFiDataWorks Summit
 
Securing Data in Hybrid on-premise and Cloud Environments using Apache Ranger
Securing Data in Hybrid on-premise and Cloud Environments using Apache RangerSecuring Data in Hybrid on-premise and Cloud Environments using Apache Ranger
Securing Data in Hybrid on-premise and Cloud Environments using Apache RangerDataWorks Summit
 
Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...
Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...
Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...DataWorks Summit
 
Computer Vision: Coming to a Store Near You
Computer Vision: Coming to a Store Near YouComputer Vision: Coming to a Store Near You
Computer Vision: Coming to a Store Near YouDataWorks Summit
 
Big Data Genomics: Clustering Billions of DNA Sequences with Apache Spark
Big Data Genomics: Clustering Billions of DNA Sequences with Apache SparkBig Data Genomics: Clustering Billions of DNA Sequences with Apache Spark
Big Data Genomics: Clustering Billions of DNA Sequences with Apache SparkDataWorks Summit
 

More from DataWorks Summit (20)

Data Science Crash Course
Data Science Crash CourseData Science Crash Course
Data Science Crash Course
 
Floating on a RAFT: HBase Durability with Apache Ratis
Floating on a RAFT: HBase Durability with Apache RatisFloating on a RAFT: HBase Durability with Apache Ratis
Floating on a RAFT: HBase Durability with Apache Ratis
 
Tracking Crime as It Occurs with Apache Phoenix, Apache HBase and Apache NiFi
Tracking Crime as It Occurs with Apache Phoenix, Apache HBase and Apache NiFiTracking Crime as It Occurs with Apache Phoenix, Apache HBase and Apache NiFi
Tracking Crime as It Occurs with Apache Phoenix, Apache HBase and Apache NiFi
 
HBase Tales From the Trenches - Short stories about most common HBase operati...
HBase Tales From the Trenches - Short stories about most common HBase operati...HBase Tales From the Trenches - Short stories about most common HBase operati...
HBase Tales From the Trenches - Short stories about most common HBase operati...
 
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...
 
Managing the Dewey Decimal System
Managing the Dewey Decimal SystemManaging the Dewey Decimal System
Managing the Dewey Decimal System
 
Practical NoSQL: Accumulo's dirlist Example
Practical NoSQL: Accumulo's dirlist ExamplePractical NoSQL: Accumulo's dirlist Example
Practical NoSQL: Accumulo's dirlist Example
 
HBase Global Indexing to support large-scale data ingestion at Uber
HBase Global Indexing to support large-scale data ingestion at UberHBase Global Indexing to support large-scale data ingestion at Uber
HBase Global Indexing to support large-scale data ingestion at Uber
 
Scaling Cloud-Scale Translytics Workloads with Omid and Phoenix
Scaling Cloud-Scale Translytics Workloads with Omid and PhoenixScaling Cloud-Scale Translytics Workloads with Omid and Phoenix
Scaling Cloud-Scale Translytics Workloads with Omid and Phoenix
 
Building the High Speed Cybersecurity Data Pipeline Using Apache NiFi
Building the High Speed Cybersecurity Data Pipeline Using Apache NiFiBuilding the High Speed Cybersecurity Data Pipeline Using Apache NiFi
Building the High Speed Cybersecurity Data Pipeline Using Apache NiFi
 
Supporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability ImprovementsSupporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability Improvements
 
Security Framework for Multitenant Architecture
Security Framework for Multitenant ArchitectureSecurity Framework for Multitenant Architecture
Security Framework for Multitenant Architecture
 
Presto: Optimizing Performance of SQL-on-Anything Engine
Presto: Optimizing Performance of SQL-on-Anything EnginePresto: Optimizing Performance of SQL-on-Anything Engine
Presto: Optimizing Performance of SQL-on-Anything Engine
 
Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...
Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...
Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...
 
Extending Twitter's Data Platform to Google Cloud
Extending Twitter's Data Platform to Google CloudExtending Twitter's Data Platform to Google Cloud
Extending Twitter's Data Platform to Google Cloud
 
Event-Driven Messaging and Actions using Apache Flink and Apache NiFi
Event-Driven Messaging and Actions using Apache Flink and Apache NiFiEvent-Driven Messaging and Actions using Apache Flink and Apache NiFi
Event-Driven Messaging and Actions using Apache Flink and Apache NiFi
 
Securing Data in Hybrid on-premise and Cloud Environments using Apache Ranger
Securing Data in Hybrid on-premise and Cloud Environments using Apache RangerSecuring Data in Hybrid on-premise and Cloud Environments using Apache Ranger
Securing Data in Hybrid on-premise and Cloud Environments using Apache Ranger
 
Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...
Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...
Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...
 
Computer Vision: Coming to a Store Near You
Computer Vision: Coming to a Store Near YouComputer Vision: Coming to a Store Near You
Computer Vision: Coming to a Store Near You
 
Big Data Genomics: Clustering Billions of DNA Sequences with Apache Spark
Big Data Genomics: Clustering Billions of DNA Sequences with Apache SparkBig Data Genomics: Clustering Billions of DNA Sequences with Apache Spark
Big Data Genomics: Clustering Billions of DNA Sequences with Apache Spark
 

Recently uploaded

Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsPrecisely
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxnull - The Open Security Community
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Neo4j
 
Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfngoud9212
 

Recently uploaded (20)

Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power Systems
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
The transition to renewables in India.pdf
The transition to renewables in India.pdfThe transition to renewables in India.pdf
The transition to renewables in India.pdf
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024
 
Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdf
 

Optimizing your Hadoop Infastructure: An Industry Panel Presentation

  • 1. Dell - Internal Use - Confidential Modernize your Hadoop infrastructure: An industry panel presentation Dell | Intel | Cloudera | Syncsort
  • 2. Dell - Internal Use - Confidential Panel Discussion Speakers Armando Acosta, Dell Armando Acosta has been involved in the IT Industry over the last 15 years with experience in architecting IT solutions and product- marketing, management, planning, and strategy. Armando’s latest role has been focused on Big Data/Hadoop solutions, addressing solutions that evolve new capabilities for emerging customer needs, and assist with the roadmap for new products and features. Vin Sharma, Intel Brandon Draeger, Intel Brandon is a Director of Marketing and Business Development for Big Data Solutions at Intel and manages the GTM relationship for Intel and Cloudera and their shared partner ecosystem. Brandon has over 15 years of experience in a variety of enterprise technology disciplines and has held roles in engineering, product management, and strategy at Dell, Symantec, and Dorado Software..
  • 3. Dell - Internal Use - Confidential Panel Discussion Speakers TJ Laher, Cloudera TJ Laher works on the product marketing team at Cloudera where he helps organizations across industries implement Hadoop in order to become data driven. Before Cloudera, TJ worked with an early stage advanced analytics startup called Ayasdi. While at Ayasdi he helped Fortune 500 companies mine high dimensional data to deploy novel big data applications. Vin Sharma, Intel Mark Muncy, Syncsort Mark Muncy leads Technical Product Marketing for Syncsort’s Big Data portfolio, working with technical and client-facing teams to deliver high-value solutions to the most data intensive companies in the world. Mark brings to his current role over a decade of hands-on experience in data architecture and ETL development in the gaming, data services, & financial services industries.
  • 4. Dell - Internal Use - Confidential