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Hdfs Buffalo published presentations and documents on DocSlides.

Distributed Systems in Cloud

Distributed Systems in Cloud

  • alida-meadow
  • 38 Slides

Yuzhe. (Richard) Tang. Introduction. Two questio...

Parallel Virtual File System (PVFS)

Parallel Virtual File System (PVFS)

  • conchita-marotz
  • 22 Slides

a.k.a. OrangeFS. By Collin Gordon and Lisa Kosiac...

Hadoop @ eBay: Past, Present and Future

Hadoop @ eBay: Past, Present and Future

  • debby-jeon
  • 39 Slides

Ryan Hennig. Hadoop Platform Team. ABOUT ME. RYAN...

Big Data, Stream Processing & Algorithms

Big Data, Stream Processing & Algorithms

  • lindy-dunigan
  • 48 Slides

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

Data Processing with MapReduce

Data Processing with MapReduce

  • luanne-stotts
  • 31 Slides

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

XORing Elephants: Novel Erasure Codes for Big Data

XORing Elephants: Novel Erasure Codes for Big Data

  • phoebe-click
  • 0 Slides

Maheswaran. . Sathiamoorthy. , . Megasthenis. ....

Hadoop Update Big Data Analytics

Hadoop Update Big Data Analytics

  • conchita-marotz
  • 0 Slides

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

HADOOP Monitoring and Diagnostics:

HADOOP Monitoring and Diagnostics:

  • natalia-silvester
  • 0 Slides

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

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...

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...

The Hadoop Distributed File System

The Hadoop Distributed File System

  • danika-pritchard
  • 0 Slides

Konstantin . Shvachko. , . Hairong. . Kuang. , S...

From many sources 4/17/2017

From many sources 4/17/2017

  • lindy-dunigan
  • 0 Slides

1. Spark. References. 4/17/2017. 2. Advanced Anal...

From many sources 4/17/2017

From many sources 4/17/2017

  • conchita-marotz
  • 0 Slides

1. Spark. References. 4/17/2017. 2. Advanced Anal...

Hive – A Petabyte Scale Data Warehouse Using

Hive – A Petabyte Scale Data Warehouse Using

  • danika-pritchard
  • 0 Slides

Hadoop. ...

INTRODUCTION TO PIG, HIVE, HBASE and ZOOKEEPER

INTRODUCTION TO PIG, HIVE, HBASE and ZOOKEEPER

  • cheryl-pisano
  • 0 Slides

WHAT IS PIG?. Framework for analyzing large un-st...

Real-time Analytics at Facebook

Real-time Analytics at Facebook

  • alida-meadow
  • 0 Slides

Zheng Shao. 10/18/2011. 1. Analytics and Real-tim...

Hortonworks Eric Baldeschwieler – CEO

Hortonworks Eric Baldeschwieler – CEO

  • alexa-scheidler
  • 0 Slides

twitter: @. jeric14 (@. hortonworks. ). © Horton...

MapReduce & R “MapReduce allows us to stop thinking about fault tolerance.

MapReduce & R “MapReduce allows us to stop thinking about fault tolerance.

  • alexa-scheidler
  • 0 Slides

”. Cathy O’Neil & Rachel . Schutt. , 2013...

NXCALS development and its Python

NXCALS development and its Python

  • messide
  • 9 Slides

API . Nikolay Tsvetkov. BE-CO-DS. NXCALS Architect...

Inside SQL Server Polybase

Inside SQL Server Polybase

  • contessi
  • 22 Slides

Bob Ward, Principal Architect, Microsoft. https://...

hich are hard to maintain and reuse. In this paper, we present Hive, a

hich are hard to maintain and reuse. In this paper, we present Hive, a

  • greyergy
  • 10 Slides

HiveQL Metastore

Erica Tobe PhD

Erica Tobe PhD

  • cappi
  • 1 Slides

Director MSU Extension Children and Youth Institut...

Hive What is Hive? Data warehousing layer on top of

Hive What is Hive? Data warehousing layer on top of

  • ariel
  • 18 Slides

Hadoop. table abstractions. SQL-like language (. H...

Target audience: technical or IT staff currently using or hoping to use OHDSI OMOP CDM

Target audience: technical or IT staff currently using or hoping to use OHDSI OMOP CDM

  • faith
  • 9 Slides

Goals: . Show design for CDM using ‘big data’ ...

OpenEC : Toward Unified and Configurable

OpenEC : Toward Unified and Configurable

  • carla
  • 33 Slides

Erasure Coding Management in . Distributed Storage...

Etcetera! CMSC 491 Hadoop-Based Distributed Computing

Etcetera! CMSC 491 Hadoop-Based Distributed Computing

  • okelly
  • 37 Slides

Spring . 2016. Adam Shook. Agenda. Advanced HDFS ....

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