How is a rational (big) data deployment approach like optimizing the generation mix of a power company?
|
|
|
- Matthew Norman
- 8 years ago
- Views:
Transcription
1 How is a rational (big) data deployment approach like optimizing the generation mix of a power company? John Akred & Stephen O
2 John Puppy Daddy PIF Husband Insider Trading (Investigation) VIX Index SPSS Clementine & Text Analysis for Surveys Condition Monitoring HR Analytics Smart Grid 2
3 Stephen Father of 2 Husband Database Engineer DBA Geek Quartermaster Q 3
4 Utility Source Mix Variable Load Base Load :00 AM 1:00 AM 2:00 AM 3:00 AM 4:00 AM 5:00 AM 6:00 AM 7:00 AM 8:00 AM 9:00 AM 10:00 AM 11:00 AM 12:00 PM 1:00 PM 2:00 PM 3:00 PM 4:00 PM 5:00 PM 6:00 PM 7:00 PM 8:00 PM 9:00 PM 10:00 PM 11:00 PM Other Customer Solar Customer Wind UBlity Solar UBlity BaEery UBlity Wind Nuclear Fossil 4
5 PREVIOUSLY WE ASKED: What is the data type? What is the size of the data? What are the indexes? What are the foreign key constraints? NOW WE ASK: Confidential And Proprietary. 5
6 TOTAL COST OF OWNERSHIP Bare Metal vs. Cloud Smackdown This result debunks the idea that the cloud is not suitable for Hadoop MapReduce workloads given their heavy I/O requirements. Hadoop-as-a- Service provides a better priceperformance ratio than the bare-metal counterpart. 6
7 We consistently observed that the performance improvement by applying various tuning techniques made a huge impact. TUNING MATTERS! Sessionization Recommendation 21h50m 9h11m First round of tuning Second round of tuning Document Clustering memory space per CPU core impacts the maximum pertask heap space allocation that sessionization requires 7
8 Cloud Specific Cluster- Wide Memory space per CPU core Number of map task slots and reduce task slots per TaskTracker node TUNING PARAMETERS Number of CPU cores Storage per node Task resource allocations 8
9 Log Collection & Search APPLICATION SERVERS Logs Logs statsd Log Search http http 9
10 Real-Time Sales Transactions APPLICATION SERVERS DATA CENTER A DATA CENTER B Hue Hue hep hep 10
11 Identity Matching EDW Push results to Cassandra 11
12 Sessionization Clickstream 12
13 POLYGLOT PERSISTENCE Horizontal State Operations Supply Chain Low Latency Event Detection Planning Asset Management Vertical Historical High Latency Predictive Modeling Confidential And Proprietary. 13
14 METHODOLOGY We iterate to value, answering the most valuable questions as quickly as possible Plan Prove Pilot Production Plan Prove Pilot Production Confidential And Proprietary. 14
15 FROM EXPERIMENT TO DEPLOYMENT Pilot Workload Optimize Workload Analyze Production Requirements Determine TCO of Deployment Approaches Provision Deployment Confidential And Proprietary. 15
16 Utility Source Mix Variable Load Base Load :00 AM 1:00 AM 2:00 AM 3:00 AM 4:00 AM 5:00 AM 6:00 AM 7:00 AM 8:00 AM 9:00 AM 10:00 AM 11:00 AM 12:00 PM 1:00 PM 2:00 PM 3:00 PM 4:00 PM 5:00 PM 6:00 PM 7:00 PM 8:00 PM 9:00 PM 10:00 PM 11:00 PM Other Customer Solar Customer Wind UBlity Solar UBlity BaEery UBlity Wind Nuclear Fossil 16
17 ? questions Yes, We re Hiring svds.com 17
18 THANK YOU Slides are here: 18
HYPER-CONVERGED INFRASTRUCTURE STRATEGIES
1 HYPER-CONVERGED INFRASTRUCTURE STRATEGIES MYTH BUSTING & THE FUTURE OF WEB SCALE IT 2 ROADMAP INFORMATION DISCLAIMER EMC makes no representation and undertakes no obligations with regard to product planning
Big Data - Infrastructure Considerations
April 2014, HAPPIEST MINDS TECHNOLOGIES Big Data - Infrastructure Considerations Author Anand Veeramani / Deepak Shivamurthy SHARING. MINDFUL. INTEGRITY. LEARNING. EXCELLENCE. SOCIAL RESPONSIBILITY. Copyright
Accenture Technology Labs Hadoop Deployment Comparison Study
Accenture Technology Labs Hadoop Deployment Comparison Study Price-performance comparison between a bare-metal Hadoop cluster and Hadoop-as-a-Service Introduction Big data technology changes many business
Luncheon Webinar Series May 13, 2013
Luncheon Webinar Series May 13, 2013 InfoSphere DataStage is Big Data Integration Sponsored By: Presented by : Tony Curcio, InfoSphere Product Management 0 InfoSphere DataStage is Big Data Integration
Big Data Analytics - Accelerated. stream-horizon.com
Big Data Analytics - Accelerated stream-horizon.com Legacy ETL platforms & conventional Data Integration approach Unable to meet latency & data throughput demands of Big Data integration challenges Based
Winning Against All Odds: Big Data for the Budget Travel Industry. Silviu Preoteasa Head of Marketing Technology
Winning Against All Odds: Big Data for the Budget Travel Industry Silviu Preoteasa Head of Marketing Technology ABOUT Launched in 1999 6M+ visitors / mo 1M+ pages indexed in Google 30,000+ properties listed
Big Data Analytics - Accelerated. stream-horizon.com
Big Data Analytics - Accelerated stream-horizon.com StreamHorizon & Big Data Integrates into your Data Processing Pipeline Seamlessly integrates at any point of your your data processing pipeline Implements
Hadoop Evolution In Organizations. Mark Vervuurt Cluster Data Science & Analytics
In Organizations Mark Vervuurt Cluster Data Science & Analytics AGENDA 1. Yellow Elephant 2. Data Ingestion & Complex Event Processing 3. SQL on Hadoop 4. NoSQL 5. InMemory 6. Data Science & Machine Learning
Dell Reference Configuration for Hortonworks Data Platform
Dell Reference Configuration for Hortonworks Data Platform A Quick Reference Configuration Guide Armando Acosta Hadoop Product Manager Dell Revolutionary Cloud and Big Data Group Kris Applegate Solution
A Framework for Performance Analysis and Tuning in Hadoop Based Clusters
A Framework for Performance Analysis and Tuning in Hadoop Based Clusters Garvit Bansal Anshul Gupta Utkarsh Pyne LNMIIT, Jaipur, India Email: [garvit.bansal anshul.gupta utkarsh.pyne] @lnmiit.ac.in Manish
Ground up Introduction to In-Memory Data (Grids)
Ground up Introduction to In-Memory Data (Grids) QCON 2015 NEW YORK, NY 2014 Hazelcast Inc. Why you here? 2014 Hazelcast Inc. Java Developer on a quest for scalability frameworks Architect on low-latency
Enabling the Use of Data
Enabling the Use of Data Michael Kagan, CTO June 1, 2015 - Technion Computer Engineering Conference Safe Harbor Statement These slides and the accompanying oral presentation contain forward-looking statements
Using an In-Memory Data Grid for Near Real-Time Data Analysis
SCALEOUT SOFTWARE Using an In-Memory Data Grid for Near Real-Time Data Analysis by Dr. William Bain, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 IN today s competitive world, businesses
Dell Reference Configuration for DataStax Enterprise powered by Apache Cassandra
Dell Reference Configuration for DataStax Enterprise powered by Apache Cassandra A Quick Reference Configuration Guide Kris Applegate kris_applegate@dell.com Solution Architect Dell Solution Centers Dave
The Elephant in the Cloud. Big Data Summit
The Elephant in the Cloud Big Data Summit May 2014 1 Changing Shape of Data Confidential and Proprietary, Qubole Inc. page 4 Emergence of Hadoop Democratization of Data Processing Scalability on Commodity
Architecting for the next generation of Big Data Hortonworks HDP 2.0 on Red Hat Enterprise Linux 6 with OpenJDK 7
Architecting for the next generation of Big Data Hortonworks HDP 2.0 on Red Hat Enterprise Linux 6 with OpenJDK 7 Yan Fisher Senior Principal Product Marketing Manager, Red Hat Rohit Bakhshi Product Manager,
Performance and Energy Efficiency of. Hadoop deployment models
Performance and Energy Efficiency of Hadoop deployment models Contents Review: What is MapReduce Review: What is Hadoop Hadoop Deployment Models Metrics Experiment Results Summary MapReduce Introduced
STeP-IN SUMMIT 2014. June 2014 at Bangalore, Hyderabad, Pune - INDIA. Performance testing Hadoop based big data analytics solutions
11 th International Conference on Software Testing June 2014 at Bangalore, Hyderabad, Pune - INDIA Performance testing Hadoop based big data analytics solutions by Mustufa Batterywala, Performance Architect,
A Novel Cloud Based Elastic Framework for Big Data Preprocessing
School of Systems Engineering A Novel Cloud Based Elastic Framework for Big Data Preprocessing Omer Dawelbeit and Rachel McCrindle October 21, 2014 University of Reading 2008 www.reading.ac.uk Overview
Cloud-based Hadoop Deployments: Benefits and Considerations
Accenture Technology Labs Cloud-based Hadoop Deployments: Benefits and Considerations An updated price-performance comparison between a bare-metal and a cloud-based Hadoop cluster, including experiences
Opportunities with Predictive Analytics. Greg Leflar, Vice President greg.leflar@parivedasolutions.com
Opportunities with Predictive Analytics Greg Leflar, Vice President greg.leflar@parivedasolutions.com Opportunities for Predictive Analytics We help you separate the Value from the Hype The field of predictive
Performance Management in Big Data Applica6ons. Michael Kopp, Technology Strategist @mikopp
Performance Management in Big Data Applica6ons Michael Kopp, Technology Strategist NoSQL: High Volume/Low Latency DBs Web Java Key Challenges 1) Even Distribu6on 2) Correct Schema and Access paperns 3)
HadoopTM Analytics DDN
DDN Solution Brief Accelerate> HadoopTM Analytics with the SFA Big Data Platform Organizations that need to extract value from all data can leverage the award winning SFA platform to really accelerate
Choosing Storage Systems
Choosing Storage Systems For MySQL Peter Zaitsev, CEO Percona Percona Live MySQL Conference and Expo 2013 Santa Clara,CA April 25,2013 Why Right Choice for Storage is Important? 2 because Wrong Choice
Dell Cloudera Syncsort Data Warehouse Optimization ETL Offload
Dell Cloudera Syncsort Data Warehouse Optimization ETL Offload Drive operational efficiency and lower data transformation costs with a Reference Architecture for an end-to-end optimization and offload
Hadoop Hardware @Twitter: Size does matter. @joep and @eecraft Hadoop Summit 2013
Hadoop Hardware : Size does matter. @joep and @eecraft Hadoop Summit 2013 v2.3 About us Joep Rottinghuis Software Engineer @ Twitter Engineering Manager Hadoop/HBase team @ Twitter Follow me @joep Jay
The Future of Data Management
The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah (@awadallah) Cofounder and CTO Cloudera Snapshot Founded 2008, by former employees of Employees Today ~ 800 World Class
Apache Ignite TM (Incubating) - In- Memory Data Fabric Fast Data Meets Open Source
Apache Ignite TM (Incubating) - In- Memory Data Fabric Fast Data Meets Open Source DMITRIY SETRAKYAN Founder, PPMC http://www.ignite.incubator.apache.org #apacheignite Agenda Apache Ignite (tm) In- Memory
Hadoop & Spark Using Amazon EMR
Hadoop & Spark Using Amazon EMR Michael Hanisch, AWS Solutions Architecture 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Agenda Why did we build Amazon EMR? What is Amazon EMR?
Big Data, SAP HANA. SUSE Linux Enterprise Server for SAP Applications. Kim Aaltonen kim.aaltonen@suse.com
Big Data, SAP HANA SUSE Linux Enterprise Server for SAP Applications Kim Aaltonen kim.aaltonen@suse.com 2 Agenda 3 Big Data SAP HANA Optimized Linux for SAP Why SUSE for SAP? Summary 4 5 Big Data What
Modern Data Architecture for Predictive Analytics
Modern Data Architecture for Predictive Analytics David Smith VP Marketing and Community - Revolution Analytics John Kreisa VP Strategic Marketing- Hortonworks Hortonworks Inc. 2013 Page 1 Your Presenters
http://oraclearchworld.wordpress.com/ Oracle SOA Infrastructure Deployment Models/Patterns
http://oraclearchworld.wordpress.com/ Oracle SOA Infrastructure Deployment Models/Patterns by Kathiravan Udayakumar This article will introduce various SOA Infrastructure deployment patterns available
Big Data Performance Growth on the Rise
Impact of Big Data growth On Transparent Computing Michael A. Greene Intel Vice President, Software and Services Group, General Manager, System Technologies and Optimization 1 Transparent Computing (TC)
Big Data in the Nordics 2012
Big Data in the Nordics 2012 A survey about increasing data volumes and Big Data analysis among private and governmental organizations in Sweden, Norway, Denmark and Finland. Unexplored Big Data Potential
SAP and Hortonworks Reference Architecture
SAP and Hortonworks Reference Architecture Hortonworks. We Do Hadoop. June Page 1 2014 Hortonworks Inc. 2011 2014. All Rights Reserved A Modern Data Architecture With SAP DATA SYSTEMS APPLICATIO NS Statistical
Presenters: Luke Dougherty & Steve Crabb
Presenters: Luke Dougherty & Steve Crabb About Keylink Keylink Technology is Syncsort s partner for Australia & New Zealand. Our Customers: www.keylink.net.au 2 ETL is THE best use case for Hadoop. ShanH
Big Data Management in the Clouds and HPC Systems
Big Data Management in the Clouds and HPC Systems Hemera Final Evaluation Paris 17 th December 2014 Shadi Ibrahim Shadi.ibrahim@inria.fr Era of Big Data! Source: CNRS Magazine 2013 2 Era of Big Data! Source:
GO BEYOND DATA Real-time Analytics for Application Performance Management
GO BEYOND DATA Real-time Analytics for Application Performance Management Yury Oleynik Data Analyst Modern applications Agenda Monitoring challenges INSTANA apploach Instana, Inc. Proprietary and Confidential
Big Data Use Case. How Rackspace is using Private Cloud for Big Data. Bryan Thompson. May 8th, 2013
Big Data Use Case How Rackspace is using Private Cloud for Big Data Bryan Thompson May 8th, 2013 Our Big Data Problem Consolidate all monitoring data for reporting and analytical purposes. Every device
An Integrated Big Data & Analytics Infrastructure June 14, 2012 Robert Stackowiak, VP Oracle ESG Data Systems Architecture
An Integrated Big Data & Analytics Infrastructure June 14, 2012 Robert Stackowiak, VP ESG Data Systems Architecture Big Data & Analytics as a Service Components Unstructured Data / Sparse Data of Value
Improve performance and availability of Banking Portal with HADOOP
Improve performance and availability of Banking Portal with HADOOP Our client is a leading U.S. company providing information management services in Finance Investment, and Banking. This company has a
BENCHMARKING CLOUD DATABASES CASE STUDY on HBASE, HADOOP and CASSANDRA USING YCSB
BENCHMARKING CLOUD DATABASES CASE STUDY on HBASE, HADOOP and CASSANDRA USING YCSB Planet Size Data!? Gartner s 10 key IT trends for 2012 unstructured data will grow some 80% over the course of the next
Big Data: A Storage Systems Perspective Muthukumar Murugan Ph.D. HP Storage Division
Big Data: A Storage Systems Perspective Muthukumar Murugan Ph.D. HP Storage Division In this talk Big data storage: Current trends Issues with current storage options Evolution of storage to support big
Data Services Advisory
Data Services Advisory Modern Datastores An Introduction Created by: Strategy and Transformation Services Modified Date: 8/27/2014 Classification: DRAFT SAFE HARBOR STATEMENT This presentation contains
Reference Architecture and Best Practices for Virtualizing Hadoop Workloads Justin Murray VMware
Reference Architecture and Best Practices for Virtualizing Hadoop Workloads Justin Murray ware 2 Agenda The Hadoop Journey Why Virtualize Hadoop? Elasticity and Scalability Performance Tests Storage Reference
Scaling Your Data to the Cloud
ZBDB Scaling Your Data to the Cloud Technical Overview White Paper POWERED BY Overview ZBDB Zettabyte Database is a new, fully managed data warehouse on the cloud, from SQream Technologies. By building
Introduction to Hadoop
Introduction to Hadoop 1 What is Hadoop? the big data revolution extracting value from data cloud computing 2 Understanding MapReduce the word count problem more examples MCS 572 Lecture 24 Introduction
CA Big Data Management: It s here, but what can it do for your business?
CA Big Data Management: It s here, but what can it do for your business? Mike Harer CA Technologies August 7, 2014 Session Number: 16256 Insert Custom Session QR if Desired. Test link: www.share.org Big
White Paper Storage for Big Data and Analytics Challenges
White Paper Storage for Big Data and Analytics Challenges Abstract Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10
DEPLOYING AND MONITORING HADOOP MAP-REDUCE ANALYTICS ON SINGLE-CHIP CLOUD COMPUTER
DEPLOYING AND MONITORING HADOOP MAP-REDUCE ANALYTICS ON SINGLE-CHIP CLOUD COMPUTER ANDREAS-LAZAROS GEORGIADIS, SOTIRIOS XYDIS, DIMITRIOS SOUDRIS MICROPROCESSOR AND MICROSYSTEMS LABORATORY ELECTRICAL AND
IBM Platform Computing Cloud Service Ready to use Platform LSF & Symphony clusters in the SoftLayer cloud
IBM Platform Computing Cloud Service Ready to use Platform LSF & Symphony clusters in the SoftLayer cloud February 25, 2014 1 Agenda v Mapping clients needs to cloud technologies v Addressing your pain
Preview of Oracle Database 12c In-Memory Option. Copyright 2013, Oracle and/or its affiliates. All rights reserved.
Preview of Oracle Database 12c In-Memory Option 1 The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any
BIG DATA: FROM HYPE TO REALITY. Leandro Ruiz Presales Partner for C&LA Teradata
BIG DATA: FROM HYPE TO REALITY Leandro Ruiz Presales Partner for C&LA Teradata Evolution in The Use of Information Action s ACTIVATING MAKE it happen! Insights OPERATIONALIZING WHAT IS happening now? PREDICTING
Big Analytics in the Cloud. Matt Winkler PM, Big Data @ Microsoft @mwinkle
Big Analytics in the Cloud Matt Winkler PM, Big Data @ Microsoft @mwinkle Part 3: Single Slide JustGiving is a global online social platform for giving that lets you raise money for a cause you care about
A Brief Introduction to Apache Tez
A Brief Introduction to Apache Tez Introduction It is a fact that data is basically the new currency of the modern business world. Companies that effectively maximize the value of their data (extract value
NextGen Infrastructure for Big DATA Analytics.
NextGen Infrastructure for Big DATA Analytics. So What is Big Data? Data that exceeds the processing capacity of conven4onal database systems. The data is too big, moves too fast, or doesn t fit the structures
Industry 4.0 and Big Data
Industry 4.0 and Big Data Marek Obitko, mobitko@ra.rockwell.com Senior Research Engineer 03/25/2015 PUBLIC PUBLIC - 5058-CO900H 2 Background Joint work with Czech Institute of Informatics, Robotics and
High Performance Computing OpenStack Options. September 22, 2015
High Performance Computing OpenStack PRESENTATION TITLE GOES HERE Options September 22, 2015 Today s Presenters Glyn Bowden, SNIA Cloud Storage Initiative Board HP Helion Professional Services Alex McDonald,
Dell* In-Memory Appliance for Cloudera* Enterprise
Built with Intel Dell* In-Memory Appliance for Cloudera* Enterprise Find out what faster big data analytics can do for your business The need for speed in all things related to big data is an enormous
MakeMyTrip CUSTOMER SUCCESS STORY
MakeMyTrip CUSTOMER SUCCESS STORY MakeMyTrip is the leading travel site in India that is running two ClustrixDB clusters as multi-master in two regions. It removed single point of failure. MakeMyTrip frequently
Evaluation of Nagios for Real-time Cloud Virtual Machine Monitoring
University of Victoria Faculty of Engineering Fall 2009 Work Term Report Evaluation of Nagios for Real-time Cloud Virtual Machine Monitoring Department of Physics University of Victoria Victoria, BC Michael
Testing 3Vs (Volume, Variety and Velocity) of Big Data
Testing 3Vs (Volume, Variety and Velocity) of Big Data 1 A lot happens in the Digital World in 60 seconds 2 What is Big Data Big Data refers to data sets whose size is beyond the ability of commonly used
Elasticsearch on Cisco Unified Computing System: Optimizing your UCS infrastructure for Elasticsearch s analytics software stack
Elasticsearch on Cisco Unified Computing System: Optimizing your UCS infrastructure for Elasticsearch s analytics software stack HIGHLIGHTS Real-Time Results Elasticsearch on Cisco UCS enables a deeper
Architecture & Experience
Architecture & Experience Data Mining - Combination from SAP HANA, R & Hadoop Markus Severin, Solution Principal Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein
HP SiteScope. Hadoop Cluster Monitoring Solution Template Best Practices. For the Windows, Solaris, and Linux operating systems
HP SiteScope For the Windows, Solaris, and Linux operating systems Software Version: 11.23 Hadoop Cluster Monitoring Solution Template Best Practices Document Release Date: December 2013 Software Release
Big Data With Hadoop
With Saurabh Singh singh.903@osu.edu The Ohio State University February 11, 2016 Overview 1 2 3 Requirements Ecosystem Resilient Distributed Datasets (RDDs) Example Code vs Mapreduce 4 5 Source: [Tutorials
Introduction to Cloud : Cloud and Cloud Storage. Lecture 2. Dr. Dalit Naor IBM Haifa Research Storage Systems. Dalit Naor, IBM Haifa Research
Introduction to Cloud : Cloud and Cloud Storage Lecture 2 Dr. Dalit Naor IBM Haifa Research Storage Systems 1 Advanced Topics in Storage Systems for Big Data - Spring 2014, Tel-Aviv University http://www.eng.tau.ac.il/semcom
Converged, Real-time Analytics Enabling Faster Decision Making and New Business Opportunities
Technology Insight Paper Converged, Real-time Analytics Enabling Faster Decision Making and New Business Opportunities By John Webster February 2015 Enabling you to make the best technology decisions Enabling
Apache Ignite TM (Incubating) - In- Memory Data Fabric Fast Data Meets Open Source
Apache Ignite TM (Incubating) - In- Memory Data Fabric Fast Data Meets Open Source DMITRIY SETRAKYAN Founder, PPMC http://www.ignite.incubator.apache.org @apacheignite @dsetrakyan Agenda About In- Memory
Linux Performance Optimizations for Big Data Environments
Linux Performance Optimizations for Big Data Environments Dominique A. Heger Ph.D. DHTechnologies (Performance, Capacity, Scalability) www.dhtusa.com Data Nubes (Big Data, Hadoop, ML) www.datanubes.com
Dominik Wagenknecht Accenture
Dominik Wagenknecht Accenture Improving Mainframe Performance with Hadoop October 17, 2014 Organizers General Partner Top Media Partner Media Partner Supporters About me Dominik Wagenknecht Accenture Vienna
TRANSFORM YOUR BUSINESS: BIG DATA AND ANALYTICS WITH VCE AND EMC
TRANSFORM YOUR BUSINESS: BIG DATA AND ANALYTICS WITH VCE AND EMC Vision Big data and analytic initiatives within enterprises have been rapidly maturing from experimental efforts to production-ready deployments.
SOLUTIONS PRODUCTS INDUSTRIES RESOURCES SUPPORT ABOUT US. 2012 ClearCube Technology, Inc. All rights reserved. Contact Support
1 of 1 9/28/2012 3:21 PM Contact Us 1-866-652-350 SmartVDI Host Platforms ClearCube s Smart Virtual Desktop Infrastructure (SmartVDI ) host platforms scale from 100s to 1000s of virtual desktops, with
Scaling Database Performance in Azure
Scaling Database Performance in Azure Results of Microsoft-funded Testing Q1 2015 2015 2014 ScaleArc. All Rights Reserved. 1 Test Goals and Background Info Test Goals and Setup Test goals Microsoft commissioned
Hortonworks & SAS. Analytics everywhere. Page 1. Hortonworks Inc. 2011 2014. All Rights Reserved
Hortonworks & SAS Analytics everywhere. Page 1 A change in focus. A shift in Advertising From mass branding A shift in Financial Services From Educated Investing A shift in Healthcare From mass treatment
Oracle on Oracle. Hans Peter Kipfer Vice President, Engineered Systems EMEA
Oracle on Oracle Hans Peter Kipfer Vice President, Engineered Systems EMEA MORE COMPLEXITY MEANS LESS INNOVATION IT SPENDING DISTRIBUTION WHAT IF 50% 66% RUN THE BUSINESS 20% 25% GROW THE BUSINESS 14%
GridGain In- Memory Data Fabric: UlCmate Speed and Scale for TransacCons and AnalyCcs
GridGain In- Memory Data Fabric: UlCmate Speed and Scale for TransacCons and AnalyCcs DMITRIY SETRAKYAN Founder & EVP Engineering @dsetrakyan www.gridgain.com #gridgain Agenda EvoluCon of In- Memory CompuCng
Scalable Architecture on Amazon AWS Cloud
Scalable Architecture on Amazon AWS Cloud Kalpak Shah Founder & CEO, Clogeny Technologies kalpak@clogeny.com 1 * http://www.rightscale.com/products/cloud-computing-uses/scalable-website.php 2 Architect
SOLVING REAL AND BIG (DATA) PROBLEMS USING HADOOP. Eva Andreasson Cloudera
SOLVING REAL AND BIG (DATA) PROBLEMS USING HADOOP Eva Andreasson Cloudera Most FAQ: Super-Quick Overview! The Apache Hadoop Ecosystem a Zoo! Oozie ZooKeeper Hue Impala Solr Hive Pig Mahout HBase MapReduce
On- Prem MongoDB- as- a- Service Powered by the CumuLogic DBaaS Platform
On- Prem MongoDB- as- a- Service Powered by the CumuLogic DBaaS Platform Page 1 of 16 Table of Contents Table of Contents... 2 Introduction... 3 NoSQL Databases... 3 CumuLogic NoSQL Database Service...
Big Data on AWS. Services Overview. Bernie Nallamotu Principle Solutions Architect
on AWS Services Overview Bernie Nallamotu Principle Solutions Architect \ So what is it? When your data sets become so large that you have to start innovating around how to collect, store, organize, analyze
Introduction to Hadoop. New York Oracle User Group Vikas Sawhney
Introduction to Hadoop New York Oracle User Group Vikas Sawhney GENERAL AGENDA Driving Factors behind BIG-DATA NOSQL Database 2014 Database Landscape Hadoop Architecture Map/Reduce Hadoop Eco-system Hadoop
Advanced In-Database Analytics
Advanced In-Database Analytics Tallinn, Sept. 25th, 2012 Mikko-Pekka Bertling, BDM Greenplum EMEA 1 That sounds complicated? 2 Who can tell me how best to solve this 3 What are the main mathematical functions??
Accelerating Enterprise Applications and Reducing TCO with SanDisk ZetaScale Software
WHITEPAPER Accelerating Enterprise Applications and Reducing TCO with SanDisk ZetaScale Software SanDisk ZetaScale software unlocks the full benefits of flash for In-Memory Compute and NoSQL applications
BIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON
BIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON Overview * Introduction * Multiple faces of Big Data * Challenges of Big Data * Cloud Computing
Performance Testing of Big Data Applications
Paper submitted for STC 2013 Performance Testing of Big Data Applications Author: Mustafa Batterywala: Performance Architect Impetus Technologies mbatterywala@impetus.co.in Shirish Bhale: Director of Engineering
Red Hat Network Satellite Management and automation of your Red Hat Enterprise Linux environment
Red Hat Network Satellite Management and automation of your Red Hat Enterprise Linux environment WHAT IS IT? Red Hat Network (RHN) Satellite server is an easy-to-use, advanced systems management platform
Big Data Analytics Platform @ Nokia
Big Data Analytics Platform @ Nokia 1 Selecting the Right Tool for the Right Workload Yekesa Kosuru Nokia Location & Commerce Strata + Hadoop World NY - Oct 25, 2012 Agenda Big Data Analytics Platform
DataStax Enterprise, powered by Apache Cassandra (TM)
PerfAccel (TM) Performance Benchmark on Amazon: DataStax Enterprise, powered by Apache Cassandra (TM) Disclaimer: All of the documentation provided in this document, is copyright Datagres Technologies
Red Hat Satellite Management and automation of your Red Hat Enterprise Linux environment
Red Hat Satellite Management and automation of your Red Hat Enterprise Linux environment WHAT IS IT? Red Hat Satellite server is an easy-to-use, advanced systems management platform for your Linux infrastructure.
SAS Analytics on IBM FlashSystem storage: Deployment scenarios and best practices
Paper 3290-2015 SAS Analytics on IBM FlashSystem storage: Deployment scenarios and best practices ABSTRACT Harry Seifert, IBM Corporation; Matt Key, IBM Corporation; Narayana Pattipati, IBM Corporation;
Ganzheitliches Datenmanagement
Ganzheitliches Datenmanagement für Hadoop Michael Kohs, Senior Sales Consultant @mikchaos The Problem with Big Data Projects in 2016 Relational, Mainframe Documents and Emails Data Modeler Data Scientist
Manjrasoft Market Oriented Cloud Computing Platform
Manjrasoft Market Oriented Cloud Computing Platform Aneka Aneka is a market oriented Cloud development and management platform with rapid application development and workload distribution capabilities.
Azure Data Lake Analytics
Azure Data Lake Analytics Compose and orchestrate data services at scale Fully managed service to support orchestration of data movement and processing Connect to relational or non-relational data
Technical Paper. Moving SAS Applications from a Physical to a Virtual VMware Environment
Technical Paper Moving SAS Applications from a Physical to a Virtual VMware Environment Release Information Content Version: April 2015. Trademarks and Patents SAS Institute Inc., SAS Campus Drive, Cary,
Real World Considerations for Implementing Desktop Virtualization
Real World Considerations for Implementing Desktop Virtualization The Essentials Series sponsored by En suring Desktop Virtualization Success... 1 Siz ing Your Desktop Virtualization Environment... 2 Ap
How In-Memory Data Grids Can Analyze Fast-Changing Data in Real Time
SCALEOUT SOFTWARE How In-Memory Data Grids Can Analyze Fast-Changing Data in Real Time by Dr. William Bain and Dr. Mikhail Sobolev, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 T wenty-first
HADOOP AT NOKIA JOSH DEVINS, NOKIA HADOOP MEETUP, JANUARY 2011 BERLIN
HADOOP AT NOKIA JOSH DEVINS, NOKIA HADOOP MEETUP, JANUARY 2011 BERLIN Two parts: * technical setup * applications before starting Question: Hadoop experience levels from none to some to lots, and what
Open Source for Cloud Infrastructure
Open Source for Cloud Infrastructure June 29, 2012 Jackson He General Manager, Intel APAC R&D Ltd. Cloud is Here and Expanding More users, more devices, more data & traffic, expanding usages >3B 15B Connected