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Pig Hdfs published presentations and documents on DocSlides.

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...

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...

The Hadoop Distributed File System

The Hadoop Distributed File System

  • danika-pritchard
  • 0 Slides

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

Hadoop Distributed File System

Hadoop Distributed File System

  • phoebe-click
  • 0 Slides

. by. Swathi. . Vangala. Overview. Dist...

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...

Hortonworks Eric Baldeschwieler – CEO

Hortonworks Eric Baldeschwieler – CEO

  • alexa-scheidler
  • 0 Slides

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

Real-time Analytics at Facebook

Real-time Analytics at Facebook

  • alida-meadow
  • 0 Slides

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

Cloud Computing for Data Analysis

Cloud Computing for Data Analysis

  • briana-ranney
  • 0 Slides

Pig|Hive|Hbase|Zookeeper. . Question:. Pig was d...

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...

Data-Intensive Distributed Computing Part 4: Analyzing Graphs (2/2)

Data-Intensive Distributed Computing Part 4: Analyzing Graphs (2/2)

  • celsa-spraggs
  • 41 Slides

Data-Intensive Distributed Computing Part 4: Anal...

Big Data Infrastructure Week 5: Analyzing Graphs (2/ 2) This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States

Big Data Infrastructure Week 5: Analyzing Graphs (2/ 2) This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States

  • sherrill-nordquist
  • 40 Slides

Big Data Infrastructure Week 5: Analyzing Graphs...

All Access An Introduction for the University Senate

All Access An Introduction for the University Senate

  • conchita-marotz
  • 10 Slides

All Access An Introduction for the University Sen...

NXCALS development and its Python

NXCALS development and its Python

  • messide
  • 9 Slides

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

Scale-out databases What is all about?

Scale-out databases What is all about?

  • broadcastworld
  • 10 Slides

Databases that has to scale – single instance ca...

Inside SQL Server Polybase

Inside SQL Server Polybase

  • contessi
  • 22 Slides

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

Nov 26 Bokinsky , Huston

Nov 26 Bokinsky , Huston

  • contessi
  • 46 Slides

Cheng, Wen . Cipolli, William . Fan, . Xiaochuan. ...

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

, Oracle Corporation.

, Oracle Corporation.

  • narrativers
  • 13 Slides

i Copyright

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...

Running Map-Reduce Under Condor

Running Map-Reduce Under Condor

  • paige
  • 36 Slides

Cast of thousands. Mihai. Pop. Michael Schatz. Da...

Etcetera! CMSC 491 Hadoop-Based Distributed Computing

Etcetera! CMSC 491 Hadoop-Based Distributed Computing

  • okelly
  • 37 Slides

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

Apache Hadoop and Spark: Introduction and Use Cases for Data Analysis

Apache Hadoop and Spark: Introduction and Use Cases for Data Analysis

  • jasper
  • 47 Slides

and Use Cases for Data Analysis. Afzal Godil. Info...

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