IBM Spectrum Scale. Computing Insight UK Patrick Byrne Cameron McAllister Dec 2015

Size: px
Start display at page:

Download "IBM Spectrum Scale. Computing Insight UK Patrick Byrne Cameron McAllister Dec 2015"

Transcription

1 IBM Spectrum Scale Computing Insight UK 2015 Patrick Byrne Cameron McAllister Dec 2015

2 4.2.0 Summary Copyright IBM Corporation 2015 IBM Confidential 2

3 4.2.0 Summary GUI * QoS * Compression * Improved Object capabilities Ssh and scp wrappers Native Hadoop HDFS support * Copyright IBM Corporation 2015 IBM Confidential 3

4 GUI Demo Copyright IBM Corporation 2015 IBM Confidential 4

5 No GUI Demo? Never work with children, animals or live demos Copyright IBM Corporation 2015 IBM Confidential 5

6 QoS Configurable limit for number of IOPS that maintenance tasks can use Can be configured at a per-storage pool level The IOPS being used can by viewed with mmlsqos Limited to just maintenance and other classes in Copyright IBM Corporation 2015 IBM Confidential 6

7 Compression Designed for cold data or write-once objects and files Compression is at a per-file level Mmchattr for a single file mmapplypolicy to compress many files Can be done synchronously or deferred until a restripe Uses zlib, favouring compression over speed Copyright IBM Corporation 2015 IBM Confidential 7

8 Big Data & Analytics on Scale Copyright IBM Corporation 2015 IBM Confidential 8

9 Big Data and Analytics on Scale Spectrum Scale is a natural fit in this space Data locality (FPO & Hadoop Connector) POSIX data access (Spark / Tachyon) Massive scale out (Big Data) Copyright IBM Corporation 2015 IBM Confidential 9

10 Big Data and Analytics on Scale Current support: FPO (data locality) Hadoop (HDFS connector) o HDFS Transparency (support for HDFS:// protocol) How to Guides o Watson Explorer o InfoSphere Streams o BigInsights & Ambari Copyright IBM Corporation 2015 IBM Confidential 10

11 Big Data and Analytics on Scale Future: Big Insights Cloudera Hortonworks Cognos SPSS Performance tuning guidelines for: Map Reduce Hive HBase BigSQL Spark Anything missing? Speak now, or corner Cam later! Copyright IBM Corporation 2015 IBM Confidential 11

12 Priorities for 2016 Copyright IBM Corporation 2015 IBM Confidential 12

13 Priorities for 2016 Every year we define a set of imperatives / goals / hills Based mainly on client feedback Address their needs Target is to achieve them within the year Aim to build on last year s successes Copyright IBM Corporation 2015 IBM Confidential 13

14 Priorities for 2016 Documentation Defect backlog Security Problem Determination Copyright IBM Corporation 2015 IBM Confidential 14

15 Documentation We are looking for feedback on existing Documentation What is important to Improve / add Please talk to me (Cam) and let me know areas that are particularly important to you And ways to improve it Copyright IBM Corporation 2015 IBM Confidential 15

16 Reduce the Defect Backlog It s not sexy.. but is important Copyright IBM Corporation 2015 IBM Confidential 16

17 Security NIST-compliance FIPS-certified encryption Vulnerability scanning and security hardening Improvements in file encryption consumability (configuration of key server) Execution in an environment with restricted password-less ssh capability White papers: Spectrum Scale Security Copyright IBM Corporation 2015 IBM Confidential 17

18 Problem Determination The main area that needs to be improved based on feedback from users Three main focus areas for Problem Determination: Active monitoring of the system Improved documentation and guidance for fixing problems Pro-active configuration checking Make information more easily accessible Copyright IBM Corporation 2015 IBM Confidential 18

19 Questions? Copyright IBM Corporation 2015 IBM Confidential 19

20 Appendix Copyright IBM Corporation 2015 IBM Confidential 20

21 QoS List of tasks that are maintenance tasks: mmadddisk mmapplypolicy mmbackup mmcheckquota mmdefragfs mmdeldisk mmdelfileset mmdelsnapshot mmdf mmfileid mmfsck mmlssnapshot mmrestripefs mmrpldisk Copyright IBM Corporation 2015 IBM Confidential 21

22 Copyright IBM Corporation 2015 IBM Confidential 22

23 Copyright IBM Corporation 2015 IBM Confidential 23

24 Copyright IBM Corporation 2015 IBM Confidential 24

25 Copyright IBM Corporation 2015 IBM Confidential 25

26 Copyright IBM Corporation 2015 IBM Confidential 26

27 Copyright IBM Corporation 2015 IBM Confidential 27

28 Copyright IBM Corporation 2015 IBM Confidential 28

Hadoop Integration Deep Dive

Hadoop Integration Deep Dive Hadoop Integration Deep Dive Piyush Chaudhary Spectrum Scale BD&A Architect 1 Agenda Analytics Market overview Spectrum Scale Analytics strategy Spectrum Scale Hadoop Integration A tale of two connectors

More information

IBM Spectrum Scale. Recent Updates and Outlook. Spectrum Scale UK User Group Meeting 2016 London May 17, 2016 Ulf Troppens

IBM Spectrum Scale. Recent Updates and Outlook. Spectrum Scale UK User Group Meeting 2016 London May 17, 2016 Ulf Troppens IBM Spectrum Scale Recent Updates and Outlook Spectrum Scale UK User Group Meeting 2016 London May 17, 2016 Ulf Troppens New in Spectrum Scale 4.2 Priorities 2016 Miscellaneous IBM Systems 2 Outline New

More information

Application Integrator Automate Any Application

Application Integrator Automate Any Application Application Integrator Automate Any Application BMC Control-M by applications BMC Control-M by platforms ERP Business Intelligence Data Integration / ETL OS Platform SAP Oracle ebusiness Suite PeopleSoft

More information

IBM Spectrum Scale. Recent Updates and Outlook. Meet the Devs Oxford Feb 24, 2016 Ulf Troppens

IBM Spectrum Scale. Recent Updates and Outlook. Meet the Devs Oxford Feb 24, 2016 Ulf Troppens IBM Spectrum Scale Recent Updates and Outlook Meet the Devs Oxford Feb 24, 2016 Ulf Troppens New in Spectrum Scale 4.2 Priorities 2016 Security Hadoop Integration Problem Determination IBM Systems 2 Outline

More information

ENABLING GLOBAL HADOOP WITH DELL EMC S ELASTIC CLOUD STORAGE (ECS)

ENABLING GLOBAL HADOOP WITH DELL EMC S ELASTIC CLOUD STORAGE (ECS) ENABLING GLOBAL HADOOP WITH DELL EMC S ELASTIC CLOUD STORAGE (ECS) Hadoop Storage-as-a-Service ABSTRACT This White Paper illustrates how Dell EMC Elastic Cloud Storage (ECS ) can be used to streamline

More information

E-guide Hadoop Big Data Platforms Buyer s Guide part 3

E-guide Hadoop Big Data Platforms Buyer s Guide part 3 Big Data Platforms Buyer s Guide part 3 Your expert guide to big platforms enterprise MapReduce cloud-based Abie Reifer, DecisionWorx The Amazon Elastic MapReduce Web service offers a managed framework

More information

E-guide Hadoop Big Data Platforms Buyer s Guide part 1

E-guide Hadoop Big Data Platforms Buyer s Guide part 1 Hadoop Big Data Platforms Buyer s Guide part 1 Your expert guide to Hadoop big data platforms for managing big data David Loshin, Knowledge Integrity Inc. Companies of all sizes can use Hadoop, as vendors

More information

IBM Big Data Summit 2012

IBM Big Data Summit 2012 IBM Big Data Summit 2012 12.10.2012 InfoSphere BigInsights Introduction Wilfried Hoge Leading Technical Sales Professional hoge@de.ibm.com twitter.com/wilfriedhoge 12.10.1012 IBM Big Data Strategy: Move

More information

Setup HSP Ambari Cluster

Setup HSP Ambari Cluster Setup HSP Ambari Cluster Prerequisites 1. An initialized HSP cluster running at least HSP 1.1.1. 2. Downloaded copy of the ISO containing the vm-template for Ambari from HortonWorks. This ISO is available

More information

Oracle Big Data Cloud Service

Oracle Big Data Cloud Service Oracle Big Data Cloud Service Delivering Hadoop, Spark and Data Science with Oracle Security and Cloud Simplicity Oracle Big Data Cloud Service is an automated service that provides a highpowered environment

More information

Data Center Operating System (DCOS) IBM Platform Solutions

Data Center Operating System (DCOS) IBM Platform Solutions April 2015 Data Center Operating System (DCOS) IBM Platform Solutions Agenda Market Context DCOS Definitions IBM Platform Overview DCOS Adoption in IBM Spark on EGO EGO-Mesos Integration 2 Market Context

More information

Sr. Sergio Rodríguez de Guzmán CTO PUE

Sr. Sergio Rodríguez de Guzmán CTO PUE PRODUCT LATEST NEWS Sr. Sergio Rodríguez de Guzmán CTO PUE www.pue.es Hadoop & Why Cloudera Sergio Rodríguez Systems Engineer sergio@pue.es 3 Industry-Leading Consulting and Training PUE is the first Spanish

More information

Session 30 Powerful Ways to Use Hadoop in your Healthcare Big Data Strategy

Session 30 Powerful Ways to Use Hadoop in your Healthcare Big Data Strategy Session 30 Powerful Ways to Use Hadoop in your Healthcare Big Data Strategy Bryan Hinton Senior Vice President, Platform Engineering Health Catalyst Sean Stohl Senior Vice President, Product Development

More information

SAS & HADOOP ANALYTICS ON BIG DATA

SAS & HADOOP ANALYTICS ON BIG DATA SAS & HADOOP ANALYTICS ON BIG DATA WHY HADOOP? OPEN SOURCE MASSIVE SCALE FAST PROCESSING COMMODITY COMPUTING DATA REDUNDANCY DISTRIBUTED WHY HADOOP? Hadoop will soon become a replacement complement to:

More information

ORACLE DATA INTEGRATOR ENTERPRISE EDITION

ORACLE DATA INTEGRATOR ENTERPRISE EDITION ORACLE DATA INTEGRATOR ENTERPRISE EDITION Oracle Data Integrator Enterprise Edition delivers high-performance data movement and transformation among enterprise platforms with its open and integrated E-LT

More information

Brian Macdonald Big Data & Analytics Specialist - Oracle

Brian Macdonald Big Data & Analytics Specialist - Oracle Brian Macdonald Big Data & Analytics Specialist - Oracle Improving Predictive Model Development Time with R and Oracle Big Data Discovery brian.macdonald@oracle.com Copyright 2015, Oracle and/or its affiliates.

More information

Got Data Silos? Automate Data Ingestion Into Isilon In Support Of Analytics

Got Data Silos? Automate Data Ingestion Into Isilon In Support Of Analytics Got Data Silos? Automate Data Ingestion Into Isilon In Support Of Analytics Key takeaways Analytic Insights Module for self-service analytics Automate data ingestion into Isilon Data Lake Three methods

More information

Analyze Big Data Faster and Store it Cheaper. Dominick Huang CenterPoint Energy Russell Hull - SAP

Analyze Big Data Faster and Store it Cheaper. Dominick Huang CenterPoint Energy Russell Hull - SAP Analyze Big Data Faster and Store it Cheaper Dominick Huang CenterPoint Energy Russell Hull - SAP ABOUT CENTERPOINT ENERGY, INC. Publicly traded on New York Stock Exchange Headquartered in Houston, Texas

More information

Design of material management system of mining group based on Hadoop

Design of material management system of mining group based on Hadoop IOP Conference Series: Earth and Environmental Science PAPER OPEN ACCESS Design of material system of mining group based on Hadoop To cite this article: Zhiyuan Xia et al 2018 IOP Conf. Ser.: Earth Environ.

More information

From Information to Insight: The Big Value of Big Data. Faire Ann Co Marketing Manager, Information Management Software, ASEAN

From Information to Insight: The Big Value of Big Data. Faire Ann Co Marketing Manager, Information Management Software, ASEAN From Information to Insight: The Big Value of Big Data Faire Ann Co Marketing Manager, Information Management Software, ASEAN The World is Changing and Becoming More INSTRUMENTED INTERCONNECTED INTELLIGENT

More information

IBM SPSS & Apache Spark

IBM SPSS & Apache Spark IBM SPSS & Apache Spark Making Big Data analytics easier and more accessible ramiro.rego@es.ibm.com @foreswearer 1 2016 IBM Corporation Modeler y Spark. Integration Infrastructure overview Spark, Hadoop

More information

Bringing the Power of SAS to Hadoop Title

Bringing the Power of SAS to Hadoop Title WHITE PAPER Bringing the Power of SAS to Hadoop Title Combine SAS World-Class Analytics With Hadoop s Low-Cost, Distributed Data Storage to Uncover Hidden Opportunities ii Contents Introduction... 1 What

More information

Architecture Overview for Data Analytics Deployments

Architecture Overview for Data Analytics Deployments Architecture Overview for Data Analytics Deployments Mahmoud Ghanem Sr. Systems Engineer GLOBAL SPONSORS Agenda The Big Picture Top Use Cases for Data Analytics Modern Architecture Concepts for Data Analytics

More information

The IBM Reference Architecture for Healthcare and Life Sciences

The IBM Reference Architecture for Healthcare and Life Sciences The IBM Reference Architecture for Healthcare and Life Sciences Janis Landry-Lane IBM Systems Group World Wide Program Director janisll@us.ibm.com Doing It Right SYMPOSIUM March 23-24, 2017 Big Data Symposium

More information

David Taylor

David Taylor Sept 10, 2013 What s New! IBM Cognos Business Intelligence 10.2.1.1 (released Sept 10, 2013) Analytic Catalyst TM1 10.2 Cognos Insight David Taylor david.taylor@us.ibm.com Agenda Overview of innovations

More information

Hadoop in Production. Charles Zedlewski, VP, Product

Hadoop in Production. Charles Zedlewski, VP, Product Hadoop in Production Charles Zedlewski, VP, Product Cloudera In One Slide Hadoop meets enterprise Investors Product category Business model Jeff Hammerbacher Amr Awadallah Doug Cutting Mike Olson - CEO

More information

Bringing Big Data to Life: Overcoming The Challenges of Legacy Data in Hadoop

Bringing Big Data to Life: Overcoming The Challenges of Legacy Data in Hadoop 0101 001001010110100 010101000101010110100 1000101010001000101011010 00101010001010110100100010101 0001001010010101001000101010001 010101101001000101010001001010010 010101101 000101010001010 1011010 0100010101000

More information

2017 IBM Elastic Storage Server - Update

2017 IBM Elastic Storage Server - Update IBM Elastic Storage Server - Update Falk Steinbrueck Program Manager, IBM Systems Storage Disclaimer IBM s statements regarding its plans, directions, and intent are subject to change or withdrawal without

More information

Cloud Based Analytics for SAP

Cloud Based Analytics for SAP Cloud Based Analytics for SAP Gary Patterson, Global Lead for Big Data About Virtustream A Dell Technologies Business 2,300+ employees 20+ data centers Major operations in 10 countries One of the fastest

More information

Data Analytics and CERN IT Hadoop Service. CERN openlab Technical Workshop CERN, December 2016 Luca Canali, IT-DB

Data Analytics and CERN IT Hadoop Service. CERN openlab Technical Workshop CERN, December 2016 Luca Canali, IT-DB Data Analytics and CERN IT Hadoop Service CERN openlab Technical Workshop CERN, December 2016 Luca Canali, IT-DB 1 Data Analytics at Scale The Challenge When you cannot fit your workload in a desktop Data

More information

How to Build Your Data Ecosystem with Tableau on AWS

How to Build Your Data Ecosystem with Tableau on AWS How to Build Your Data Ecosystem with Tableau on AWS Moving Your BI to the Cloud Your BI is working, and it s probably working well. But, continuing to empower your colleagues with data is going to be

More information

Apache Spark 2.0 GA. The General Engine for Modern Analytic Use Cases. Cloudera, Inc. All rights reserved.

Apache Spark 2.0 GA. The General Engine for Modern Analytic Use Cases. Cloudera, Inc. All rights reserved. Apache Spark 2.0 GA The General Engine for Modern Analytic Use Cases 1 Apache Spark Drives Business Innovation Apache Spark is driving new business value that is being harnessed by technology forward organizations.

More information

ROBOTICS, AI and SAP from the Lab to real life

ROBOTICS, AI and SAP from the Lab to real life ROBOTICS, AI and SAP from the Lab to real life Alexandre Goeffers Sopra Steria Consulting Director Jerome Fortias Head of the business lab 1 Agenda Presentation of the business lab Demo n 1 : IBM Watson

More information

Simplifying the Process of Uploading and Extracting Data from Apache Hadoop

Simplifying the Process of Uploading and Extracting Data from Apache Hadoop Simplifying the Process of Uploading and Extracting Data from Apache Hadoop Rohit Bakhshi, Solution Architect, Hortonworks Jim Walker, Director Product Marketing, Talend Page 1 About Us Rohit Bakhshi Solution

More information

Berkeley Data Analytics Stack (BDAS) Overview

Berkeley Data Analytics Stack (BDAS) Overview Berkeley Analytics Stack (BDAS) Overview Ion Stoica UC Berkeley UC BERKELEY What is Big used For? Reports, e.g., - Track business processes, transactions Diagnosis, e.g., - Why is user engagement dropping?

More information

Cognitive enterprise archive and retrieval

Cognitive enterprise archive and retrieval Cognitive enterprise archive and retrieval IBM Content Manager OnDemand provides quick, efficient access to critical documents to enable an optimal customer experience Highlights Archive, protect and manage

More information

Big Data & Hadoop Advance

Big Data & Hadoop Advance Course Durations: 30 Hours About Company: Course Mode: Online/Offline EduNextgen extended arm of Product Innovation Academy is a growing entity in education and career transformation, specializing in today

More information

Hadoop in the Cloud. Ryan Lippert, Cloudera Product Cloudera, Inc. All rights reserved.

Hadoop in the Cloud. Ryan Lippert, Cloudera Product Cloudera, Inc. All rights reserved. Hadoop in the Cloud Ryan Lippert, Cloudera Product Marketing @lippertryan 1 2 Cloudera Confidential 3 Drive Customer Insights Improve Product & Services Efficiency Lower Business Risk 4 The world s largest

More information

Big Data The Big Story

Big Data The Big Story Big Data The Big Story Jean-Pierre Dijcks Big Data Product Mangement 1 Agenda What is Big Data? Architecting Big Data Building Big Data Solutions Oracle Big Data Appliance and Big Data Connectors Customer

More information

SKYSCAPE HADOOP IN THE CLOUD

SKYSCAPE HADOOP IN THE CLOUD SERVICE DEFINITION SKYSCAPE HADOOP IN THE CLOUD G-CLOUD 8 Classification: Open Classification: Open ii MDS Technologies Ltd 2016. Other than for the sole purpose of evaluating this Response, no part of

More information

IBM Software IBM InfoSphere BigInsights

IBM Software IBM InfoSphere BigInsights IBM Software IBM InfoSphere BigInsights Enabling new, cost-effective solutions to turn complex information into business insight 2 IBM InfoSphere BigInsights Executive summary Companies are hyper-connected

More information

Big Data Live selbst analysieren

Big Data Live selbst analysieren Big Data Live selbst analysieren Hands on Workshop zu IBM InfoSphere Big Insights Harald Gröger Wilfried Hoge Gerhard Wenzel IBM 2013 IBM Corporation Agenda 15:00-15:10 Einführung IBM Big Data Plattform

More information

Building Your Big Data Team

Building Your Big Data Team Building Your Big Data Team With all the buzz around Big Data, many companies have decided they need some sort of Big Data initiative in place to stay current with modern data management requirements.

More information

Microsoft Azure Essentials

Microsoft Azure Essentials Microsoft Azure Essentials Azure Essentials Track Summary Data Analytics Explore the Data Analytics services in Azure to help you analyze both structured and unstructured data. Azure can help with large,

More information

Spectrum Control Capacity Planning

Spectrum Control Capacity Planning Spectrum Control Capacity Planning Scott McPeek mcpeek@us.ibm.com Washington Systems Center Bryan Odom odombry@us.ibm.com Software Advanced Technogoly (SWAT) Copyright IBM Corporation 2017. Capacity Planning

More information

Analytics With Hadoop. SAS and Cloudera Starter Services: Visual Analytics and Visual Statistics

Analytics With Hadoop. SAS and Cloudera Starter Services: Visual Analytics and Visual Statistics Analytics With Hadoop SAS and Cloudera Starter Services: Visual Analytics and Visual Statistics Everything You Need to Get Started on Your First Hadoop Project SAS and Cloudera have identified the essential

More information

Hybrid Data Management

Hybrid Data Management Kelly Schlamb Executive IT Specialist, Worldwide Analytics Platform Enablement and Technical Sales (kschlamb@ca.ibm.com, @KSchlamb) Hybrid Data Management IBM Analytics Summit 2017 November 8, 2017 5 Essential

More information

1. Intoduction to Hadoop

1. Intoduction to Hadoop 1. Intoduction to Hadoop Hadoop is a rapidly evolving ecosystem of components for implementing the Google MapReduce algorithms in a scalable fashion on commodity hardware. Hadoop enables users to store

More information

ActualTests.C Q&A C Foundations of IBM Big Data & Analytics Architecture V1

ActualTests.C Q&A C Foundations of IBM Big Data & Analytics Architecture V1 ActualTests.C2030-136.40Q&A Number: C2030-136 Passing Score: 800 Time Limit: 120 min File Version: 4.8 http://www.gratisexam.com/ C2030-136 Foundations of IBM Big Data & Analytics Architecture V1 Hello,

More information

Product Management June Control-M Roadmap. Mariusz Gajewski, BMC

Product Management June Control-M Roadmap. Mariusz Gajewski, BMC Product Management June 2015 Control-M Roadmap Mariusz Gajewski, BMC +48 601 803679 mariusz_gajewski@bmc.com Agenda 1. Control-M introduction Workload automation 2. Control-M addition modules What s new

More information

System log analysis using InfoSphere BigInsights and IBM Accelerator for Machine Data Analytics

System log analysis using InfoSphere BigInsights and IBM Accelerator for Machine Data Analytics System log analysis using InfoSphere BigInsights and IBM How to mine complex system logs for clues to performance issues Vincent Cailly 01 October 2013 When understood, logs are a goldmine for debugging,

More information

Big Data Job Descriptions. Software Engineer - Algorithms

Big Data Job Descriptions. Software Engineer - Algorithms Big Data Job Descriptions Software Engineer - Algorithms This position is responsible for meeting the big data needs of our various products and businesses. Specifically, this position is responsible for

More information

InfoSphere Warehousing 9.5

InfoSphere Warehousing 9.5 IBM Software Group Optimised InfoSphere Warehousing 9.5 Flexible Simple Phil Downey InfoSphere Warehouse Technical Marketing 2007 IBM Corporation Information On Demand End-to-End Capabilities Optimization

More information

IBM SmartCloud Migrations Best Methods and Practices

IBM SmartCloud Migrations Best Methods and Practices IBM SmartCloud Migrations Best Methods and Practices IBM Collaboration Solutions Open Mic Date: 15th September 2016 Open Mic Team Abhishek Jain Presenter Arun Kumar Presenter Narendra Nesarikar IBM ICS

More information

Hortonworks Powering the Future of Data

Hortonworks Powering the Future of Data Hortonworks Powering the Future of Simon Gregory Vice President Eastern Europe, Middle East & Africa 1 Hortonworks Inc. 2011 2016. All Rights Reserved MASTER THE VALUE OF DATA EVERY BUSINESS IS A DATA

More information

PI SERVER 2015 AND FUTURE DATA

PI SERVER 2015 AND FUTURE DATA PI SERVER 2015 AND FUTURE DATA Steve Kwan, Denis Vacher Tuesday, December 16, 2015 Agenda Why Future Data? What s PI Server 2015? + how to get the Beta version Demo! + sneak peek at PI Visualization 2015

More information

Information Server 11.3 Overview. Kevin D Silva Client Technical Professional, InfoSphere Information Server

Information Server 11.3 Overview. Kevin D Silva Client Technical Professional, InfoSphere Information Server Information Server 11.3 Overview Kevin D Silva Client Technical Professional, InfoSphere Information Server Governance Concerns for Big Customers Integrate & Link Big Big as a Source Big as a Target Transformations

More information

Jason Virtue Business Intelligence Technical Professional

Jason Virtue Business Intelligence Technical Professional Jason Virtue Business Intelligence Technical Professional jvirtue@microsoft.com Agenda Microsoft Azure Data Services Azure Cloud Services Azure Machine Learning Azure Service Bus Azure Stream Analytics

More information

BIG DATA and DATA SCIENCE

BIG DATA and DATA SCIENCE Integrated Program In BIG DATA and DATA SCIENCE CONTINUING STUDIES Table of Contents About the Course...03 Key Features of Integrated Program in Big Data and Data Science...04 Learning Path...05 Key Learning

More information

Hortonworks Apache Hadoop subscriptions ( Subsciptions ) can be purchased directly through HP and together with HP Big Data software products.

Hortonworks Apache Hadoop subscriptions ( Subsciptions ) can be purchased directly through HP and together with HP Big Data software products. HP and Hortonworks Data Platform Hortonworks Apache Hadoop subscriptions ( Subsciptions ) can be purchased directly through HP and together with HP Big Data software products. Hortonworks is a major contributor

More information

ETL on Hadoop What is Required

ETL on Hadoop What is Required ETL on Hadoop What is Required Keith Kohl Director, Product Management October 2012 Syncsort Copyright 2012, Syncsort Incorporated Agenda Who is Syncsort Extract, Transform, Load (ETL) Overview and conventional

More information

data in IBM Cognos TM1 is stored and represented as multidimensional OLAP cubes,, with data being stored at the "leaf" level Z. J.

data in IBM Cognos TM1 is stored and represented as multidimensional OLAP cubes,, with data being stored at the leaf level Z. J. IBM Cognos tm1 data in IBM Cognos TM1 is stored and represented as multidimensional OLAP cubes,, with data being stored at the "leaf" level Z. J. Viharos Big Data Üzleti Intelligencia Csoport (http://bigdatabi.sztaki.hu/)

More information

Adobe Deploys Hadoop as a Service on VMware vsphere

Adobe Deploys Hadoop as a Service on VMware vsphere Adobe Deploys Hadoop as a Service A TECHNICAL CASE STUDY APRIL 2015 Table of Contents A Technical Case Study.... 3 Background... 3 Why Virtualize Hadoop on vsphere?.... 3 The Adobe Marketing Cloud and

More information

THE MAGIC OF DATA INTEGRATION IN THE ENTERPRISE WITH TIPS AND TRICKS

THE MAGIC OF DATA INTEGRATION IN THE ENTERPRISE WITH TIPS AND TRICKS THE MAGIC OF DATA INTEGRATION IN THE ENTERPRISE WITH TIPS AND TRICKS DATA HOLDS ALL THE POTENTIAL TO HELP BUSINESSES WIN CUSTOMERS INCREASE REVENUE GAIN COMPETITIVE ADVANTAGE STREAMLINE OPERATIONS BUT

More information

Deloitte School of Analytics. Demystifying Data Science: Leveraging this phenomenon to drive your organisation forward

Deloitte School of Analytics. Demystifying Data Science: Leveraging this phenomenon to drive your organisation forward Deloitte School of Analytics Demystifying Data Science: Leveraging this phenomenon to drive your organisation forward February 2018 Agenda 7 February 2018 8 February 2018 9 February 2018 8:00 9:00 Networking

More information

Prepare for GDPR today with Microsoft 365

Prepare for GDPR today with Microsoft 365 Prepare for GDPR today with Microsoft 365 2 Table of contents 01. 02. 03. 04. 05. Executive Sumary Landscape Assess and manage your compliance risk Protect your most sensitive data Closing 3 01. Executive

More information

SAP Big Data. Markus Tempel SAP Big Data and Cloud Analytics Services

SAP Big Data. Markus Tempel SAP Big Data and Cloud Analytics Services SAP Big Data Markus Tempel SAP Big Data and Cloud Analytics Services Is that Big Data? 2015 SAP AG or an SAP affiliate company. All rights reserved. 2 What if you could turn new signals from Big Data into

More information

What s Happening to the Mainframe? Mobile? Social? Cloud? Big Data?

What s Happening to the Mainframe? Mobile? Social? Cloud? Big Data? Glenn Anderson, IBM Lab Services and Training What s Happening to the Mainframe? Mobile? Social? Cloud? Big Data? Winter SHARE March 2014 Session 15126 Today s mainframe is a hybrid system InfoSphere Streams

More information

PEOPLE. PROCESS. INFORMATION PRODUCT BROCHURE

PEOPLE. PROCESS. INFORMATION PRODUCT BROCHURE PEOPLE. PROCESS. INFORMATION. 2016 PRODUCT BROCHURE WHY THEREFORE? In today s fast-paced business environment, efficient information and document management are essential. Gain a competitive edge by being

More information

Conformity Assessment. Dan Cheetham BPV Requirements 4/12/16

Conformity Assessment. Dan Cheetham BPV Requirements 4/12/16 Conformity Assessment Dan Cheetham BPV Requirements 4/12/16 BPV Requirements Boiler and Pressure Vessel Requirements (Quality Control Programs, Materials, Examination & Inspection, etc.) Quality Control

More information

COPYRIGHTED MATERIAL. 1Big Data and the Hadoop Ecosystem

COPYRIGHTED MATERIAL. 1Big Data and the Hadoop Ecosystem 1Big Data and the Hadoop Ecosystem WHAT S IN THIS CHAPTER? Understanding the challenges of Big Data Getting to know the Hadoop ecosystem Getting familiar with Hadoop distributions Using Hadoop-based enterprise

More information

Top 5 Challenges for Hadoop MapReduce in the Enterprise. Whitepaper - May /9/11

Top 5 Challenges for Hadoop MapReduce in the Enterprise. Whitepaper - May /9/11 Top 5 Challenges for Hadoop MapReduce in the Enterprise Whitepaper - May 2011 http://platform.com/mapreduce 2 5/9/11 Table of Contents Introduction... 2 Current Market Conditions and Drivers. Customer

More information

Big Data & Advanced Analytics - "managed Services on Azure

Big Data & Advanced Analytics - managed Services on Azure Big Data & Advanced Analytics - "managed Services on Azure Guido Jacobs Global Black Belt TSP Big Data Guido.Jacobs@microsoft.com Microsoft Deutschland GmbH Hyper scale Infrastruktur das ist Azure! US

More information

IoT and Digital Data Challenging The Way We Communicate

IoT and Digital Data Challenging The Way We Communicate IoT and Digital Data Challenging The Way We Communicate New challenges in communication between people and between people and machines Alexander Habinski Head of CSP & ISV CEE IBM Global Business Partners

More information

Big Data at the Speed of Business IBM Innovations for a new era! Rob Thomas Vice President, Big Data Sales IBM Software Group, Information Management

Big Data at the Speed of Business IBM Innovations for a new era! Rob Thomas Vice President, Big Data Sales IBM Software Group, Information Management Big Data at the Speed of Business IBM Innovations for a new era! Rob Thomas Vice President, Big Data Sales IBM Software Group, Information Management Agenda for today 1 IBM s viewpoint on on big big data

More information

Session Number: 5 Proactive Remote Service Support

Session Number: 5 Proactive Remote Service Support Abstract Session Number: 5 Proactive Remote Service Support S.R. Subramani ABB Australia Pty Limited The purpose is to explain how high equipment availability can be achieved by the pro-active, remote

More information

Primavera Analytics and Primavera Data Warehouse Security Overview

Primavera Analytics and Primavera Data Warehouse Security Overview Analytics and Primavera Data Warehouse Security Guide 15 R2 October 2015 Contents Primavera Analytics and Primavera Data Warehouse Security Overview... 5 Safe Deployment of Primavera Analytics and Primavera

More information

Reduce Money Laundering Risks with Rapid, Predictive Insights

Reduce Money Laundering Risks with Rapid, Predictive Insights SOLUTION brief Digital Bank of the Future Financial Services Reduce Money Laundering Risks with Rapid, Predictive Insights Executive Summary Money laundering is the process by which the illegal origin

More information

What you need to know before upgrading from IBM Cognos ReportNet 1.1 to IBM Cognos 8 BI

What you need to know before upgrading from IBM Cognos ReportNet 1.1 to IBM Cognos 8 BI Proven Practice What you need to know before upgrading from IBM Cognos ReportNet 1.1 to IBM Cognos 8 BI Product(s): IBM Cognos 8 BI Area of Interest: Upgrade/Migration What you need to know before an upgrade

More information

Exploring the Benefits of the Modernized Data Warehouse Philip Russom

Exploring the Benefits of the Modernized Data Warehouse Philip Russom Exploring the Benefits of the Modernized Data Warehouse Philip Russom TDWI Research Director for Data Management October 8, 2014 Sponsor 2 Speakers Philip Russom TDWI Research Director, Data Management

More information

Hadoop and Analytics at CERN IT CERN IT-DB

Hadoop and Analytics at CERN IT CERN IT-DB Hadoop and Analytics at CERN IT CERN IT-DB 1 Hadoop Use cases Parallel processing of large amounts of data Perform analytics on a large scale Dealing with complex data: structured, semi-structured, unstructured

More information

H&R Block with IBM Watson Partnership Integrated Marketing Campaign February 1 April 18, More than 3.9 billion total impressions

H&R Block with IBM Watson Partnership Integrated Marketing Campaign February 1 April 18, More than 3.9 billion total impressions H&R Block with IBM Watson Partnership Integrated Marketing Campaign February 1 April 18, 2017 More than 3.9 billion total impressions BROADCAST More than 1.4 BILLION TV & Radio impressions TV Campaign

More information

Copyright 2014, Oracle and/or its affiliates. All rights reserved. 2

Copyright 2014, Oracle and/or its affiliates. All rights reserved. 2 Copyright 2014, Oracle and/or its affiliates. All rights reserved. 2 Oracle Cloud Marketplace: An Innovation Ecosystem for Partners and Customers Neelesh Gurnani Sr. Director Product Development Ajay Seetharam

More information

Ticketing: How ACME s Cloud-Based Enterprise Platform Benefits Your Business

Ticketing: How ACME s Cloud-Based Enterprise Platform Benefits Your Business Ticketing: How ACME s Cloud-Based Enterprise Platform Benefits Your Business Today the cloud is replacing on-premise or hosted enterprise workloads, one vertical at a time. ACME was started to introduce

More information

Blockchain Unleashed: Petrochemical Industry Impact

Blockchain Unleashed: Petrochemical Industry Impact Blockchain Unleashed: Petrochemical Industry Impact 1 Business networks, wealth and markets Business Networks benefit from connectivity Participants are customers, suppliers, partners Cross geography &

More information

GoMidjets Policy Solutions

GoMidjets Policy Solutions Defining Configuration Management GoMidjets Policy Solutions December 2011 About GoMidjets Developing and delivering CM and ALM solutions Complementary add-on solutions for IBM Rational ClearCase Providing

More information

InfoSphere Warehouse. Flexible. Reliable. Simple. IBM Software Group

InfoSphere Warehouse. Flexible. Reliable. Simple. IBM Software Group IBM Software Group Flexible Reliable InfoSphere Warehouse Simple Ser Yean Tan Regional Technical Sales Manager Information Management Software IBM Software Group ASEAN 2007 IBM Corporation Business Intelligence

More information

Cask Data Application Platform (CDAP) The Integrated Platform for Developers and Organizations to Build, Deploy, and Manage Data Applications

Cask Data Application Platform (CDAP) The Integrated Platform for Developers and Organizations to Build, Deploy, and Manage Data Applications Cask Data Application Platform (CDAP) The Integrated Platform for Developers and Organizations to Build, Deploy, and Manage Data Applications Copyright 2015 Cask Data, Inc. All Rights Reserved. February

More information

InterConnect Think Big: Scale Your Business Rules Solutions Up to the World of Big Data. Decision Camp 2017

InterConnect Think Big: Scale Your Business Rules Solutions Up to the World of Big Data. Decision Camp 2017 Think Big: Scale Your Business Rules Solutions Up to the World of Big Data InterConnect 2017 Nigel Crowther Smarter Process Technical Lead IBM UKI Cloud Client Technical Engagement Decision Camp 2017 1

More information

IBM COG-605. IBM Cognos 10 Controller Developer.

IBM COG-605. IBM Cognos 10 Controller Developer. IBM COG-605 IBM Cognos 10 Controller Developer TYPE: DEMO http://www.examskey.com/cog-605.html Examskey IBM COG-605 exam demo product is here for you to test the quality of the product. This IBM COG-605

More information

Predictive Analytics Use Cases in the Manufacturing Industry

Predictive Analytics Use Cases in the Manufacturing Industry Predictive Analytics Use Cases in the Manufacturing Industry David Arnu - 1 - The RAPIDMINER Platform marketplace - 2 - The Complete Predictive Analytics Process - 3 - The Funded R&D Team Data Scientists,

More information

IBM Watson Explorer. IBM Software. IBM Watson Explorer. Search, analyze and interpret information to enable cognitive exploration

IBM Watson Explorer. IBM Software. IBM Watson Explorer. Search, analyze and interpret information to enable cognitive exploration IBM Watson Explorer IBM Software IBM Watson Explorer Search, analyze and interpret information to enable cognitive exploration 2 IBM Watson Explorer Contents 2 Introduction 6 Unique Watson Explorer capabilities

More information

Oracle's Cloud Strategie für den Geschäftserfolg Alles Neue von der OOW

Oracle's Cloud Strategie für den Geschäftserfolg Alles Neue von der OOW Oracle's Cloud Strategie für den Geschäftserfolg Alles Neue von der OOW Matthias Weiss Direktor Mittelstand Technologie Oracle Deutschland B.V. & Co. KG Agenda 1 2 3 4 5 6 Digital Transformation and CEO

More information

Leveraging Oracle Big Data Discovery to Master CERN s Data. Manuel Martín Márquez Oracle Business Analytics Innovation 12 October- Stockholm, Sweden

Leveraging Oracle Big Data Discovery to Master CERN s Data. Manuel Martín Márquez Oracle Business Analytics Innovation 12 October- Stockholm, Sweden Leveraging Oracle Big Data Discovery to Master CERN s Data Manuel Martín Márquez Oracle Business Analytics Innovation 12 October- Stockholm, Sweden Manuel Martin Marquez Intel IoT Ignition Lab Cloud and

More information

Cognos TM1 Training in Chennai

Cognos TM1 Training in Chennai Cognos TM1 Training in Chennai Training in Greens Technology provides 100% real-time, practical and placement focused Cognos TM1 training in Chennai. Our Cognos TM1 course concentrates from basic level

More information

Microsoft Big Data. Solution Brief

Microsoft Big Data. Solution Brief Microsoft Big Data Solution Brief Contents Introduction... 2 The Microsoft Big Data Solution... 3 Key Benefits... 3 Immersive Insight, Wherever You Are... 3 Connecting with the World s Data... 3 Any Data,

More information

IT Services Senior Business Solutions Officer (Student Information Systems) EHA

IT Services Senior Business Solutions Officer (Student Information Systems) EHA Human Resources It is important to note that this job description is a guide to the work you will be required undertake. It will be changed from time to time to meet the needs of the service. It does not

More information

Maximize Your Big Data Investment with Self-Service Analytics Presented by Michael Setticasi, Sr. Director, Business Development

Maximize Your Big Data Investment with Self-Service Analytics Presented by Michael Setticasi, Sr. Director, Business Development Maximize Your Big Data Investment with Self-Service Analytics Presented by Michael Setticasi, Sr. Director, Business Development How many different data sources do you typically include in your analyses?

More information

WHITE PAPER SERIES. Ellucian Elevate Integration

WHITE PAPER SERIES. Ellucian Elevate Integration WHITE PAPER SERIES Ellucian Elevate Integration Ellucian Elevate Integration The Business Need 3 Integration Approach 4 How This All Works 4 A Progressive Development of Integration 7 Integration from

More information

imark Mobile Ordering System

imark Mobile Ordering System imark Mobile Ordering System Locate the switch, generally located in the back office Plug the green Ethernet cable into PORT 6, if 6 is in use then use PORT 2 Plug the other end of the cable into the imark

More information