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Search Results for 'Ricardo Hadoop'

Ricardo Hadoop published presentations and documents on DocSlides.

Big Data, Stream Processing & Algorithms

Big Data, Stream Processing & Algorithms

  • lindy-dunigan
  • 48 Slides

Supun . Kamburugamuve. For the PhD Qualifying Exa...

Other Map-Reduce (

Other Map-Reduce (

  • aaron
  • 92 Slides

ish. ) Frameworks. William Cohen. 1. Outline. Mor...

Digital Science Center

Digital Science Center

  • alida-meadow
  • 11 Slides

June 25, . 2010, . IIT. Geoffrey Fox. Judy . Qiu....

This course is best suited to data analysts, business analy

This course is best suited to data analysts, business analy

  • faustina-dinatale
  • 3 Slides

Hadoop. . is not required.. COURSE INFORMATION. ...

NoSQL & Hadoop

NoSQL & Hadoop

  • danika-pritchard
  • 14 Slides

Jeremy Shafer. Temple University. What is NoSQL?....

Data Processing with MapReduce

Data Processing with MapReduce

  • luanne-stotts
  • 31 Slides

Yasin N. Silva and Jason Reed. Arizona State Univ...

Community 1.3.0

Community 1.3.0

  • ellena-manuel
  • 18 Slides

(Optimize both Yarn & Non Yarn Hadoop cluste...

Other Distributed Frameworks

Other Distributed Frameworks

  • danika-pritchard
  • 70 Slides

Shannon Quinn. Distinction. General Compute Engin...

Performance of

Performance of

  • lindy-dunigan
  • 42 Slides

MapReduce. on Multicore Clusters. UMBC, Maryland...

Clouds, Grids, Clusters and FutureGrid

Clouds, Grids, Clusters and FutureGrid

  • karlyn-bohler
  • 58 Slides

IUPUI Computer Science. February 11 2011. Geoffre...

51 Use Cases and implications for HPC & Apache Big Data

51 Use Cases and implications for HPC & Apache Big Data

  • aaron
  • 8 Slides

Architecture and Ogres. International Workshop on...

The Big Data Network (phase 2) Cloud Hadoop system

The Big Data Network (phase 2) Cloud Hadoop system

  • phoebe-click
  • 32 Slides

Presentation to the Manchester Data Science club....

© 2016 Teradata

© 2016 Teradata

  • aaron
  • 2 Slides

Can’t make the trip to Atlanta? Get the second ...

Hadoop

Hadoop

  • conchita-marotz
  • 16 Slides

System simulation with . Mumak. Fei. Dong, . Ti...

A Tale of Two Data-Intensive Paradigms: Applications, Abstr

A Tale of Two Data-Intensive Paradigms: Applications, Abstr

  • test
  • 35 Slides

S Jha. 1. , J Qiu. 2. , A Luckow. 1. , P Mantha. ...

HPC-ABDS

HPC-ABDS

  • lois-ondreau
  • 22 Slides

: The Case for an Integrating Apache Big Data Sta...

From Zero to Data Insights Using HDInsight on Microsoft

From Zero to Data Insights Using HDInsight on Microsoft

  • marina-yarberry
  • 0 Slides

Azure. Peter Myers. Bitwise Solutions Pty Ltd. DB...

Prof. Naimish R. Vadodariya

Prof. Naimish R. Vadodariya

  • natalia-silvester
  • 0 Slides

naimish.vadodariya@darshan.ac.in. 91-8866215253....

23 November 2016 When Big Data Meets Fast Data

23 November 2016 When Big Data Meets Fast Data

  • ellena-manuel
  • 0 Slides

- Paris 2016. Nicol...

ATLAS.ti Mac introduction

ATLAS.ti Mac introduction

  • lindy-dunigan
  • 0 Slides

Ricardo B. Contreras, . PhD. Applied . cultural. ...

Matrix Factorization Recovering latent factors in a matrix

Matrix Factorization Recovering latent factors in a matrix

  • pasty-toler
  • 0 Slides

m. movies. v11. …. …. …. vij. …. vnm. V[...

HDInsight によるビッグデータ

HDInsight によるビッグデータ

  • faustina-dinatale
  • 0 Slides

ソリューションの開発. Masashi Narumoto....

Big Data, Small Data and Data Visualisation via

Big Data, Small Data and Data Visualisation via

  • sherrill-nordquist
  • 0 Slides

. Sentiment Analysis with HDInsight . James Bere...

Teradata PARTNERS Conference is the premier, customer-led global data and analytics conference for

Teradata PARTNERS Conference is the premier, customer-led global data and analytics conference for

  • aaron
  • 0 Slides

At PARTNERS You’ll Discover:. New ways to provi...

Unit 1: Turn Down the Dial

Unit 1: Turn Down the Dial

  • jane-oiler
  • 0 Slides

on. Cyberbullying and Online Cruelty. Intro: . Te...

Hadoop Update Big Data Analytics

Hadoop Update Big Data Analytics

  • conchita-marotz
  • 0 Slides

May 23. nd. . 2012. Matt Mead, Cloudera. Hadoop ...

Introduction to Big Data

Introduction to Big Data

  • olivia-moreira
  • 0 Slides

Welcome!. Instructor: . Ruoming. Jin. Office: 26...

HADOOP Monitoring and Diagnostics:

HADOOP Monitoring and Diagnostics:

  • natalia-silvester
  • 0 Slides

Challenges and Lessons Learned. Matthew Jacobs. m...

Sergiu Sanielevici, PSC Director of User Support for Scientific Applications

Sergiu Sanielevici, PSC Director of User Support for Scientific Applications

  • tatyana-admore
  • 0 Slides

October 12, . 2017. Bridges and Clouds. © 2017 P...

Introduction to Spark Shannon Quinn

Introduction to Spark Shannon Quinn

  • pasty-toler
  • 0 Slides

(with thanks to . Paco. Nathan and . Databricks....

Icon Template September, 2014

Icon Template September, 2014

  • pasty-toler
  • 0 Slides

MarkLogic Logo. Standard . Marklogic. icons. Ser...

Cluster Computing Let us change our traditional attitude to the construction of programs: Instead o

Cluster Computing Let us change our traditional attitude to the construction of programs: Instead o

  • lois-ondreau
  • 0 Slides

. Donald E. Knuth, . Literate Programming. , 198...

Limplock: Understanding

Limplock: Understanding

  • ellena-manuel
  • 0 Slides

the Impact of Limpware on . Scale-out Cloud Syste...

Map Reduce Basics Chapter 2

Map Reduce Basics Chapter 2

  • pasty-toler
  • 0 Slides

Basics. Divide and conquer. Partition large probl...

SGD on Hadoop for Big dATA

SGD on Hadoop for Big dATA

  • sherrill-nordquist
  • 0 Slides

. & Huge Models. Alex Beutel. Based on work ...

Resilient Distributed Datasets

Resilient Distributed Datasets

  • liane-varnes
  • 0 Slides

: . A Fault-Tolerant Abstraction for In-Memory Cl...

Vocabulary Lesson 21 By: Claudia Aliff, Ricardo Rivera, and Sebastian Morales

Vocabulary Lesson 21 By: Claudia Aliff, Ricardo Rivera, and Sebastian Morales

  • giovanna-bartolotta
  • 0 Slides

Adulterate. To make impure by adding inferior, im...

Thus Far Locality is important!!!

Thus Far Locality is important!!!

  • danika-pritchard
  • 0 Slides

Need to get Processing closer to storage. Need to...

Understanding Real World Data Corruptions in Cloud Systems

Understanding Real World Data Corruptions in Cloud Systems

  • conchita-marotz
  • 0 Slides

Peipei Wang. , Daniel Dean, . Xiaohui. . Gu. Nor...

A Brief Introduction of Existing Big Data Tools

A Brief Introduction of Existing Big Data Tools

  • phoebe-click
  • 0 Slides

Bingjing. Zhang. Outline. The world map of big d...

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