WHITE PAPER ON. Operational Analytics. HTC Global Services Inc. Do not copy or distribute.
|
|
- Leona Murphy
- 8 years ago
- Views:
Transcription
1 WHITE PAPER ON Operational Analytics
2 Contents Introduction... 2 Industry 4.0 Standard... 3 Data Streams... 3 Big Data Age... 4 Analytics... 5 Operational Analytics... 6 IT Operations Analytics... 7 Conclusion... 8 Acronyms... 9 Reference
3 Introduction In the current world, data is the asset of enterprises as they are used to generate knowledge and build decisions. It is termed as the raw material of 21st century. Data available in various forms is spawned by machines that are armed with electronic gadgets like motion sensors, cameras, microphones, GPS (Global Positioning System) and accelerometers, ATM (Automated Teller Machine) transactions, mobile phones, credit cards, and other electronic gadgets. Data is also produced by social network sources like Twitter, YouTube, Facebook, s collections, web consumer clickstreams, mobile barcode readers, Radio Frequency Identification (RFID) sensors, and countless other sources. In today's fast moving, highly interconnected global business environment, enterprises are relying on complex systems built out of interconnected electronic sensors and gadgets built around Industrial Internet nicknamed as Industry 4.0 standard for their daily operations. These systems also called as Cyber-Physical Systems (CPS) are producing data with high volume, velocity, and variety for facing the competition. Generated data streams are varied and carry a lot of systems and business information that are critical for business success. High speed data in motion holds the key to valuable insights. Gaining visibility into this stream and the critical enterprise operations that they support can mean the difference between success and failure. To achieve a complete view of operational performance for enabling the rapid remediation of breakdowns, savvy enterprises are investing heavily in analytics capabilities. Since the insights are time sensitive, the business units have to act on those insights immediately. 2
4 Industry 4.0 Standard Data Streams The interconnected complex IT systems have become the prime movers of industrial production systems playing on economics around the world. Systems are built around machines, storage systems, and supplies that adhere to a defined standard and are linked up as cyber-physical systems (CPS). With industrial internet, also known as Industry 4.0, the systems have started to revolutionize the operating methods. The systems are responsible for digitization of inter and intra, horizontal and vertical value chains, and are directly responsible for the product and service portfolio delivery of enterprises. This new generation breed of systems has given us the ability to control granular data streams thereby opening up new world of possibilities leading to better insights. Streaming data is different from other kinds of data due to varying operational attributes which are attached to them. It is often loosely structured compared to other datasets. For example, the amount of data streams being generated in an organizational context is quite high and fluctuates over time frame. The use of biometric devices across an organization convey a lot of insight on the organizational affinity and mobility. Data switching traffic sensors convey a lot of insight on the network traffic. The data is always available and new data is always being generated. Downtime for the primary collection system means that data is permanently lost. Insights are generated with a suitable mix of data streams and hence complexity is quite high. Future plants and systems will have clearly defined data connector interfaces for excellent data visibility. Emerging data churning technologies have the capability to flexibly replace machines along the value chain. Industry 4.0 emphasizes the idea of consistent digitization and linking of all productive units in an economy. Information on Event Processing, an emerging technology that helps to achieve actionable, situational knowledge from large scale event streams in real-time, is an interesting area for novel applications. Having carried out extensive research in the space of data streams, HTC's Research and Development team has generated white papers for the understanding of users at large. Refer the - Event Processing Systems the Way to Improved and Quicker Decision- Making white paper. 3
5 Big Data Age The physical and digital worlds are meeting at a very high speed. Most of the physical process are getting instrumented with sensors, telematics, and devices that drive ever-growing data. The major challenge that the modern world faces is the flooding digital data. Collecting, storing, and analyzing data from industrial sensors, network logs, and other machinery connected to the Industry 4.0 has become more feasible because of the emergence of big data technologies. The leading open-source software framework available for scalable, reliable, and distributed computing is Hadoop. It is changing not just the technology but also the economics of data storage and data warehousing. With solutions like Hadoop Distributed File System (HDFS), Hive, HBase, Pig, Oozie, Zoo-keeper, Flume, etc., Hadoop has become the low cost industry standard ecosystem for securely analyzing high volume data from a variety of enterprise sources. A simple overview of the ecosystem is shared here: 4
6 Analytics Arriving at a decision or gathering information for decision-making is not a simple and direct task. To derive information or gain knowledge with analysis, a suitable combination of aggregated data streams as raw material and analytic tools are required. Generally, analytics refers to analysis of data using Pareto analysis, trending, seasonality, regression, correlation, control charts, and other statistical techniques. It is not always a row of numbers noted from a gauge. Today, it is a combination of data streams that adds value to the organization. When analytics is integrated into business and decision-making processes the insight flows automatically to thousands of knowledge workers, and thousands of decisions made each day by people or computers. Big data analysis requires interconnected set of solutions from acquiring the data to making decisions for repeated analysis. Organization's early use of analytics focused on developing data dashboards that depict information in graphical form. This approach makes it easy for executives to detect trends and take action, and it was an important step in turning information into insights more quickly. According to Wikipedia, analytics is the process of developing optimal or realistic decision recommendations based on insights derived through the application of statistical models and analysis, against existing and/or simulated future data. When analytics is applied for the day-to-day operations, one gets into operational analytics. The operational transactions have decisions with it and each action is driven by a decision. The goal of any analytic solution is to provide the organization with actionable insights for smarter decisions and better business outcomes. Different types of analytics, however, provide different types of insights. Analytics solutions are of three principal types: Ÿ Descriptive - uses business intelligence and data mining for analyzing: What has happened? Ÿ Predictive - uses statistical models and forecasts for analyzing: What could happen? Ÿ Prescriptive - uses optimization and simulation for analyzing: What should we do? 5
7 Operational Analytics Big data and predictive analytics are used by business and industries to change and improve the processes and operations majorly. Industry 4.0 interconnects the various production level sensors in the value chain. Operational analytics enable the businesses to analyze and mine stream the machine generated sensor data and / or production data to provide real-time insight into enterprise operations. Data streaming enables real-time analysis to take place. Instead of querying static data, real-time data streams are continuously evaluated by static questions. When data is analyzed in real-time it produces numerous benefits and the details are discussed in the Managing Realtime Data Streaming Effectively with CEP Solutions white paper. Operational Analytics automates analytics for helping end users (or systems) during the decision-making process itself, leading to Operational Intelligence. Decisions, whether tactical or strategic, are critical to the success of every organization says Davenport, in his recent paper, How Organizations Make Better Decisions, (Jan 2010). The basis of operational analytics built over Industry 4.0 standard is the increased availability, and integrated use of relevant data by connecting all products, resources, and enterprises involved in the value chain. It includes the ability to generate additional value from available data and for maximizing customer benefits. This requires a fundamental transformation of processes, the product, and service portfolio as well as the existing business models. The granular level visibility into systems and devices with analytics and insights help enterprises to increase their operational efficiencies and reduce costs. 6
8 IT Operations Analytics IT Operations Analytics (ITOA) is also known as Advanced Operational Analytics or IT Data Analytics. It encapsulates technologies that are primarily used to discover complex patterns in high volumes of 'noisy' IT system availability and performance data. There are varieties of analytic dashboards: Ÿ Operational Dashboards: Helps the front-line workers and supervisors to track the core operational processes Ÿ Tactical Dashboards: Enables managers / analysts to track / analyze departmental activities, processes, and projects. Ÿ Strategic Dashboards: Allows executives and staffs to track the progress in attaining their strategic goals Operations Dashboard is a multilayered application built on business intelligence and data integration infrastructure, enabling enterprises to measure, monitor, and manage business performance more effectively. They focus on monitoring functions more than analysis or management functions. Tactical Dashboards emphasize analytical functionality more than monitoring or management features. Analytical functionality enables users to investigate the root causes of problems, issues, or trends. Strategic Dashboards emphasize management features more than monitoring or analytical functionality. Operational Analytics applies to organizations of all sizes across industries along the entire length of supply chain. Understanding customers' behavior, enhancing their experience and profitability is equally important regardless of the customer base size. In Operational Analytics, numerous combination of transactional data, such as product aggregations or aggregations of customers who are geographically close may be performed. Descriptive models are used to determine demand forecast, manufacturing and distribution costs and cost relationships, future raw material costs and availabilities, and a variety of other parameters and relationships required by the Operational decision database. 7
9 IT Operations Analytics Cont. Conclusion HTC supported a renowned data storage company for designing their operational dashboard to monitor the production system. Production level details were scattered across the spectrum. Such details were identified and cataloged. Based on the organizational needs, suitable metrics were identified and mapped to the organizational goals with relevant risk measures. As planned, information from multiple systems were extracted for further analysis. The identified matrices were mapped to the operations dashboard. Suitable triggers were planned and run for the benefit of end users leading to good visibility. Operational Analytics uses big data technologies for the latest applications to analyze machine data and gain insight, which gives better business results. The data generated by machines collected by the IT systems contain valuable insights. IT Operational Analytics automates the process of collecting and organizing data for locating patterns that help in identifying business results and improving system performance. In the current market, there are several software solutions for operational analytics that help in easily transforming the disconnected data (that reside in disparate systems) to actionable information. 8
10 Acronyms The acronyms used in this white paper and their expansion is provided below: Acronym ATM CPS GPS HDFS ITOA RFID Expansion Automated Teller Machine Cyber Physical Systems Global Positioning System Hadoop Distributed file system IT Operations Analytics Radio Frequency Identification Reference 1. Operational Analytics Cloudera: WP-Operational-Analytics-101.pdf 2. Ten IT-enabled business trends for the decade ahead: 3. Think Act: pdf 4. Descriptive, Predictive, and Prescriptive Analytics Explained - The two-minute guide to understanding and selecting the right analytics: 5. Using Performance Analytics Dashboard: hboards#gsc.tab=0 9
Big Data, Why All the Buzz? (Abridged) Anita Luthra, February 20, 2014
Big Data, Why All the Buzz? (Abridged) Anita Luthra, February 20, 2014 Defining Big Not Just Massive Data Big data refers to data sets whose size is beyond the ability of typical database software tools
More informationAre You Ready for Big Data?
Are You Ready for Big Data? Jim Gallo National Director, Business Analytics April 10, 2013 Agenda What is Big Data? How do you leverage Big Data in your company? How do you prepare for a Big Data initiative?
More informationTransforming the Telecoms Business using Big Data and Analytics
Transforming the Telecoms Business using Big Data and Analytics Event: ICT Forum for HR Professionals Venue: Meikles Hotel, Harare, Zimbabwe Date: 19 th 21 st August 2015 AFRALTI 1 Objectives Describe
More informationBIG DATA TECHNOLOGY. Hadoop Ecosystem
BIG DATA TECHNOLOGY Hadoop Ecosystem Agenda Background What is Big Data Solution Objective Introduction to Hadoop Hadoop Ecosystem Hybrid EDW Model Predictive Analysis using Hadoop Conclusion What is Big
More informationAre You Ready for Big Data?
Are You Ready for Big Data? Jim Gallo National Director, Business Analytics February 11, 2013 Agenda What is Big Data? How do you leverage Big Data in your company? How do you prepare for a Big Data initiative?
More informationBIG DATA & ANALYTICS. Transforming the business and driving revenue through big data and analytics
BIG DATA & ANALYTICS Transforming the business and driving revenue through big data and analytics Collection, storage and extraction of business value from data generated from a variety of sources are
More informationlocuz.com Big Data Services
locuz.com Big Data Services Big Data At Locuz, we help the enterprise move from being a data-limited to a data-driven one, thereby enabling smarter, faster decisions that result in better business outcome.
More informationIBM Big Data Platform
IBM Big Data Platform Turning big data into smarter decisions Stefan Söderlund. IBM kundarkitekt, Försvarsmakten Sesam vår-seminarie Big Data, Bigga byte kräver Pigga Hertz! May 16, 2013 By 2015, 80% of
More informationThe 4 Pillars of Technosoft s Big Data Practice
beyond possible Big Use End-user applications Big Analytics Visualisation tools Big Analytical tools Big management systems The 4 Pillars of Technosoft s Big Practice Overview Businesses have long managed
More informationCloudera Enterprise Data Hub in Telecom:
Cloudera Enterprise Data Hub in Telecom: Three Customer Case Studies Version: 103 Table of Contents Introduction 3 Cloudera Enterprise Data Hub for Telcos 4 Cloudera Enterprise Data Hub in Telecom: Customer
More informationHow To Make Data Streaming A Real Time Intelligence
REAL-TIME OPERATIONAL INTELLIGENCE Competitive advantage from unstructured, high-velocity log and machine Big Data 2 SQLstream: Our s-streaming products unlock the value of high-velocity unstructured log
More informationHDP Hadoop From concept to deployment.
HDP Hadoop From concept to deployment. Ankur Gupta Senior Solutions Engineer Rackspace: Page 41 27 th Jan 2015 Where are you in your Hadoop Journey? A. Researching our options B. Currently evaluating some
More informationHow the oil and gas industry can gain value from Big Data?
How the oil and gas industry can gain value from Big Data? Arild Kristensen Nordic Sales Manager, Big Data Analytics arild.kristensen@no.ibm.com, tlf. +4790532591 April 25, 2013 2013 IBM Corporation Dilbert
More informationTapping the benefits of business analytics and optimization
IBM Sales and Distribution Chemicals and Petroleum White Paper Tapping the benefits of business analytics and optimization A rich source of intelligence for the chemicals and petroleum industries 2 Tapping
More informationBEYOND BI: Big Data Analytic Use Cases
BEYOND BI: Big Data Analytic Use Cases Big Data Analytics Use Cases This white paper discusses the types and characteristics of big data analytics use cases, how they differ from traditional business intelligence
More informationThe Big Data Ecosystem at LinkedIn Roshan Sumbaly, Jay Kreps, and Sam Shah LinkedIn
The Big Data Ecosystem at LinkedIn Roshan Sumbaly, Jay Kreps, and Sam Shah LinkedIn Presented by :- Ishank Kumar Aakash Patel Vishnu Dev Yadav CONTENT Abstract Introduction Related work The Ecosystem Ingress
More informationBig Data and Data Science. The globally recognised training program
Big Data and Data Science The globally recognised training program Certificate in Big Data Analytics Duration 5 days Big Data and Data Science enables value creation from data, through the use of calculative
More informationEnd to End Solution to Accelerate Data Warehouse Optimization. Franco Flore Alliance Sales Director - APJ
End to End Solution to Accelerate Data Warehouse Optimization Franco Flore Alliance Sales Director - APJ Big Data Is Driving Key Business Initiatives Increase profitability, innovation, customer satisfaction,
More informationMonitoring Best Practices for
Monitoring Best Practices for OVERVIEW Providing the right level and depth of monitoring is key to ensuring the effective operation of IT systems. This is especially true for ecommerce systems like Magento,
More informationBIG DATA TRENDS AND TECHNOLOGIES
BIG DATA TRENDS AND TECHNOLOGIES THE WORLD OF DATA IS CHANGING Cloud WHAT IS BIG DATA? Big data are datasets that grow so large that they become awkward to work with using onhand database management tools.
More informationBig Data Analytics. Copyright 2011 EMC Corporation. All rights reserved.
Big Data Analytics 1 Priority Discussion Topics What are the most compelling business drivers behind big data analytics? Do you have or expect to have data scientists on your staff, and what will be their
More informationwww.sryas.com Analance Data Integration Technical Whitepaper
Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring
More informationwww.ducenit.com Self-Service Business Intelligence: The hunt for real insights in hidden knowledge Whitepaper
Self-Service Business Intelligence: The hunt for real insights in hidden knowledge Whitepaper Shift in BI usage In this fast paced business environment, organizations need to make smarter and faster decisions
More informationBig Data Analytics in Health Care
Big Data Analytics in Health Care S. G. Nandhini 1, V. Lavanya 2, K.Vasantha Kokilam 3 1 13mss032, 2 13mss025, III. M.Sc (software systems), SRI KRISHNA ARTS AND SCIENCE COLLEGE, 3 Assistant Professor,
More informationBIG DATA ANALYTICS For REAL TIME SYSTEM
BIG DATA ANALYTICS For REAL TIME SYSTEM Where does big data come from? Big Data is often boiled down to three main varieties: Transactional data these include data from invoices, payment orders, storage
More informationDATAMEER WHITE PAPER. Beyond BI. Big Data Analytic Use Cases
DATAMEER WHITE PAPER Beyond BI Big Data Analytic Use Cases This white paper discusses the types and characteristics of big data analytics use cases, how they differ from traditional business intelligence
More informationBIG 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
More informationManufacturing Analytics: Uncovering Secrets on Your Factory Floor
SIGHT MACHINE WHITE PAPER Manufacturing Analytics: Uncovering Secrets on Your Factory Floor Quick Take For manufacturers, operational insight is often masked by mountains of process and part data flowing
More informationCapitalize on Big Data for Competitive Advantage with Bedrock TM, an integrated Management Platform for Hadoop Data Lakes
Capitalize on Big Data for Competitive Advantage with Bedrock TM, an integrated Management Platform for Hadoop Data Lakes Highly competitive enterprises are increasingly finding ways to maximize and accelerate
More informationBeyond Watson: The Business Implications of Big Data
Beyond Watson: The Business Implications of Big Data Shankar Venkataraman IBM Program Director, STSM, Big Data August 10, 2011 The World is Changing and Becoming More INSTRUMENTED INTERCONNECTED INTELLIGENT
More informationUnderstanding traffic flow
White Paper A Real-time Data Hub For Smarter City Applications Intelligent Transportation Innovation for Real-time Traffic Flow Analytics with Dynamic Congestion Management 2 Understanding traffic flow
More informationInteractive data analytics drive insights
Big data Interactive data analytics drive insights Daniel Davis/Invodo/S&P. Screen images courtesy of Landmark Software and Services By Armando Acosta and Joey Jablonski The Apache Hadoop Big data has
More informationBig Data Use Cases Update
Big Data Use Cases Update Sanat Joshi Industry Solutions Manufacturing Industries Business Unit 1 Data Explosion Web & social networks experienced it first Infographic by Go-gulf.com 2 Number Of Connected
More informationHadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012. Viswa Sharma Solutions Architect Tata Consultancy Services
Hadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012 Viswa Sharma Solutions Architect Tata Consultancy Services 1 Agenda What is Hadoop Why Hadoop? The Net Generation is here Sizing the
More informationA TECHNICAL WHITE PAPER ATTUNITY VISIBILITY
A TECHNICAL WHITE PAPER ATTUNITY VISIBILITY Analytics for Enterprise Data Warehouse Management and Optimization Executive Summary Successful enterprise data management is an important initiative for growing
More informationMonitoring Best Practices for COMMERCE
Monitoring Best Practices for COMMERCE OVERVIEW Providing the right level and depth of monitoring is key to ensuring the effective operation of IT systems. This is especially true for ecommerce systems
More informationSee the wood for the trees
See the wood for the trees Dr. Harald Schöning Head of Research The world is becoming digital socienty government economy Digital Society Digital Government Digital Enterprise 2 Data is Getting Bigger
More informationPDF PREVIEW EMERGING TECHNOLOGIES. Applying Technologies for Social Media Data Analysis
VOLUME 34 BEST PRACTICES IN BUSINESS INTELLIGENCE AND DATA WAREHOUSING FROM LEADING SOLUTION PROVIDERS AND EXPERTS PDF PREVIEW IN EMERGING TECHNOLOGIES POWERFUL CASE STUDIES AND LESSONS LEARNED FOCUSING
More informationBig Data Buzzwords From A to Z. By Rick Whiting, CRN 4:00 PM ET Wed. Nov. 28, 2012
Big Data Buzzwords From A to Z By Rick Whiting, CRN 4:00 PM ET Wed. Nov. 28, 2012 Big Data Buzzwords Big data is one of the, well, biggest trends in IT today, and it has spawned a whole new generation
More informationThe Purview Solution Integration With Splunk
The Purview Solution Integration With Splunk Integrating Application Management and Business Analytics With Other IT Management Systems A SOLUTION WHITE PAPER WHITE PAPER Introduction Purview Integration
More informationBusiness Analytics and Data Visualization. Decision Support Systems Chattrakul Sombattheera
Business Analytics and Data Visualization Decision Support Systems Chattrakul Sombattheera Agenda Business Analytics (BA): Overview Online Analytical Processing (OLAP) Reports and Queries Multidimensionality
More informationBig Data Services From Hitachi Data Systems
SOLUTION PROFILE Big Data Services From Hitachi Data Systems Create Strategy, Implement and Manage a Solution for Big Data for Your Organization Big Data Consulting Services and Big Data Transition Services
More informationINTELLIGENT BUSINESS STRATEGIES WHITE PAPER
INTELLIGENT BUSINESS STRATEGIES WHITE PAPER Improving Access to Data for Successful Business Intelligence Part 2: Supporting Multiple Analytical Workloads in a Changing Analytical Landscape By Mike Ferguson
More informationSOLVING 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
More informationAn 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
More informationA Tour of the Zoo the Hadoop Ecosystem Prafulla Wani
A Tour of the Zoo the Hadoop Ecosystem Prafulla Wani Technical Architect - Big Data Syntel Agenda Welcome to the Zoo! Evolution Timeline Traditional BI/DW Architecture Where Hadoop Fits In 2 Welcome to
More informationNavigating Big Data business analytics
mwd a d v i s o r s Navigating Big Data business analytics Helena Schwenk A special report prepared for Actuate May 2013 This report is the third in a series and focuses principally on explaining what
More informationComprehensive Analytics on the Hortonworks Data Platform
Comprehensive Analytics on the Hortonworks Data Platform We do Hadoop. Page 1 Page 2 Back to 2005 Page 3 Vertical Scaling Page 4 Vertical Scaling Page 5 Vertical Scaling Page 6 Horizontal Scaling Page
More informationBig Data. Fast Forward. Putting data to productive use
Big Data Putting data to productive use Fast Forward What is big data, and why should you care? Get familiar with big data terminology, technologies, and techniques. Getting started with big data to realize
More informationNetView 360 Product Description
NetView 360 Product Description Heterogeneous network (HetNet) planning is a specialized process that should not be thought of as adaptation of the traditional macro cell planning process. The new approach
More informationBig Data and Analytics (Fall 2015)
Big Data and Analytics (Fall 2015) Core/Elective: MS CS Elective MS SPM Elective Instructor: Dr. Tariq MAHMOOD Credit Hours: 3 Pre-requisite: All Core CS Courses (Knowledge of Data Mining is a Plus) Every
More informationBIG DATA What it is and how to use?
BIG DATA What it is and how to use? Lauri Ilison, PhD Data Scientist 21.11.2014 Big Data definition? There is no clear definition for BIG DATA BIG DATA is more of a concept than precise term 1 21.11.14
More informationHadoop for Enterprises:
Hadoop for Enterprises: Overcoming the Major Challenges Introduction to Big Data Big Data are information assets that are high volume, velocity, and variety. Big Data demands cost-effective, innovative
More informationCybersecurity Analytics for a Smarter Planet
IBM Institute for Advanced Security December 2010 White Paper Cybersecurity Analytics for a Smarter Planet Enabling complex analytics with ultra-low latencies on cybersecurity data in motion 2 Cybersecurity
More informationIndustrial Internet @GE. Dr. Stefan Bungart
Industrial Internet @GE Dr. Stefan Bungart The vision is clear The real opportunity for change surpassing the magnitude of the consumer Internet is the Industrial Internet, an open, global network that
More informationWe are building the next generation of Big Data and Analytics solutions!
We are building the next generation of Big Data and Analytics solutions! Background 26 years Experience IT Industry 12 Years Solutions Architect - International Profile Passionate about Technology Genuine
More informationSupply Chain Management Build Connections
Build Connections Enabling a business in manufacturing Building High-Value Connections with Partners and Suppliers Build Connections Is your supply chain responsive, adaptive, agile, and efficient? How
More informationIoT and Big Data- The Current and Future Technologies: A Review
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 5, Issue. 1, January 2016,
More informationBuilding Scalable Big Data Pipelines
Building Scalable Big Data Pipelines NOSQL SEARCH ROADSHOW ZURICH Christian Gügi, Solution Architect 19.09.2013 AGENDA Opportunities & Challenges Integrating Hadoop Lambda Architecture Lambda in Practice
More informationBIG DATA ANALYTICS REFERENCE ARCHITECTURES AND CASE STUDIES
BIG DATA ANALYTICS REFERENCE ARCHITECTURES AND CASE STUDIES Relational vs. Non-Relational Architecture Relational Non-Relational Rational Predictable Traditional Agile Flexible Modern 2 Agenda Big Data
More informationHow To Understand The Benefits Of Big Data
Findings from the research collaboration of IBM Institute for Business Value and Saïd Business School, University of Oxford Analytics: The real-world use of big data How innovative enterprises extract
More informationWROX Certified Big Data Analyst Program by AnalytixLabs and Wiley
WROX Certified Big Data Analyst Program by AnalytixLabs and Wiley Disclaimer: This material is protected under copyright act AnalytixLabs, 2011. Unauthorized use and/ or duplication of this material or
More informationDelivering Customer Value Faster With Big Data Analytics
Delivering Customer Value Faster With Big Data Analytics Tackle the challenges of Big Data and real-time analytics with a cloud-based Decision Management Ecosystem James Taylor CEO Customer data is more
More informationHere comes the flood Tools for Big Data analytics. Guy Chesnot -June, 2012
Here comes the flood Tools for Big Data analytics Guy Chesnot -June, 2012 Agenda Data flood Implementations Hadoop Not Hadoop 2 Agenda Data flood Implementations Hadoop Not Hadoop 3 Forecast Data Growth
More informationBig Data Explained. An introduction to Big Data Science.
Big Data Explained An introduction to Big Data Science. 1 Presentation Agenda What is Big Data Why learn Big Data Who is it for How to start learning Big Data When to learn it Objective and Benefits of
More informationData Management Practices for Intelligent Asset Management in a Public Water Utility
Data Management Practices for Intelligent Asset Management in a Public Water Utility Author: Rod van Buskirk, Ph.D. Introduction Concerned about potential failure of aging infrastructure, water and wastewater
More informationA New Era Of Analytic
Penang egovernment Seminar 2014 A New Era Of Analytic Megat Anuar Idris Head, Project Delivery, Business Analytics & Big Data Agenda Overview of Big Data Case Studies on Big Data Big Data Technology Readiness
More informationa Host Analytics and Cervello primer
The Marriage of Business Intelligence and Corporate Performance Management a Host Analytics and Cervello primer Making faster and smarter business decisions by establishing a prepared mind for your organization
More informationBig Data Introduction
Big Data Introduction Ralf Lange Global ISV & OEM Sales 1 Copyright 2012, Oracle and/or its affiliates. All rights Conventional infrastructure 2 Copyright 2012, Oracle and/or its affiliates. All rights
More informationHow To Handle Big Data With A Data Scientist
III Big Data Technologies Today, new technologies make it possible to realize value from Big Data. Big data technologies can replace highly customized, expensive legacy systems with a standard solution
More informationAre You Big Data Ready?
ACS 2015 Annual Canberra Conference Are You Big Data Ready? Vladimir Videnovic Business Solutions Director Oracle Big Data and Analytics Introduction Introduction What is Big Data? If you can't explain
More informationGROW YOUR ANALYTICS MATURITY
GROW YOUR ANALYTICS MATURITY Gain and Sustain a Competitive Edge FROM DATA TO ACTION YOU VE HEARD THE BIG DATA BUZZ. WE RE SWIMMING IN MORE DATA THAN EVER. But it s not about the amount of data, the different
More informationAugust 2011. Investigating an Insider Threat. A Sensage TechNote highlighting the essential workflow involved in a potential insider breach
August 2011 A Sensage TechNote highlighting the essential workflow involved in a potential insider breach Table of Contents Executive Summary... 1... 1 What Just Happened?... 2 What did that user account
More informationHDP Enabling the Modern Data Architecture
HDP Enabling the Modern Data Architecture Herb Cunitz President, Hortonworks Page 1 Hortonworks enables adoption of Apache Hadoop through HDP (Hortonworks Data Platform) Founded in 2011 Original 24 architects,
More informationBig Data, Big Banks and Unleashing Big Opportunities
Big, Big Banks and Unleashing Big Opportunities Big, Big Banks and Unleashing Big Opportunities Big, Big Banks and Unleashing Big Opportunities A retailer using Big to the full could increase its operating
More informationGetting Started Practical Input For Your Roadmap
Getting Started Practical Input For Your Roadmap Mike Ferguson Managing Director, Intelligent Business Strategies BA4ALL Big Data & Analytics Insight Conference Stockholm, May 2015 About Mike Ferguson
More informationBig Data and New Paradigms in Information Management. Vladimir Videnovic Institute for Information Management
Big Data and New Paradigms in Information Management Vladimir Videnovic Institute for Information Management 2 "I am certainly not an advocate for frequent and untried changes laws and institutions must
More informationHow To Create A Data Science System
Enhance Collaboration and Data Sharing for Faster Decisions and Improved Mission Outcome Richard Breakiron Senior Director, Cyber Solutions Rbreakiron@vion.com Office: 571-353-6127 / Cell: 803-443-8002
More informationMonitoring Best Practices for
Monitoring Best Practices for OVERVIEW Providing the right level and depth of monitoring is key to ensuring the effective operation of IT systems. This is especially true for ecommerce systems like Magento,
More informationAchieving Business Value through Big Data Analytics Philip Russom
Achieving Business Value through Big Data Analytics Philip Russom TDWI Research Director for Data Management October 3, 2012 Sponsor 2 Speakers Philip Russom Research Director, Data Management, TDWI Brian
More informationCertification In SAS Programming. Introduction to SAS Program
Certification In SAS Programming Introduction to SAS Program What Lies Ahead In this session, you will gain answers to: Overview of Analytics Careers in Analytics Why Use SAS? Introduction to SAS System
More informationTORNADO Solution for Telecom Vertical
BIG DATA ANALYTICS & REPORTING TORNADO Solution for Telecom Vertical Overview Last decade has see a rapid growth in wireless and mobile devices such as smart- phones, tablets and netbook is becoming very
More informationLeveraging Machine Data to Deliver New Insights for Business Analytics
Copyright 2015 Splunk Inc. Leveraging Machine Data to Deliver New Insights for Business Analytics Rahul Deshmukh Director, Solutions Marketing Jason Fedota Regional Sales Manager Safe Harbor Statement
More informationQLIKVIEW DEPLOYMENT FOR BIG DATA ANALYTICS AT KING.COM
QLIKVIEW DEPLOYMENT FOR BIG DATA ANALYTICS AT KING.COM QlikView Technical Case Study Series Big Data June 2012 qlikview.com Introduction This QlikView technical case study focuses on the QlikView deployment
More informationStatistical Challenges with Big Data in Management Science
Statistical Challenges with Big Data in Management Science Arnab Kumar Laha Indian Institute of Management Ahmedabad Analytics vs Reporting Competitive Advantage Reporting Prescriptive Analytics (Decision
More informationInfomatics. Big-Data and Hadoop Developer Training with Oracle WDP
Big-Data and Hadoop Developer Training with Oracle WDP What is this course about? Big Data is a collection of large and complex data sets that cannot be processed using regular database management tools
More informationBig Data for Investment Research Management
IDT Partners www.idtpartners.com Big Data for Investment Research Management Discover how IDT Partners helps Financial Services, Market Research, and Investment Management firms turn big data into actionable
More informationThe API Revolution: What it means for Data Center Infrastructure Management
The API Revolution: What it means for Data Center Infrastructure Management The API Revolution Most, likely you are familiar with application programming interfaces (APIs) and don t even realize it - in
More informationBig Data on Microsoft Platform
Big Data on Microsoft Platform Prepared by GJ Srinivas Corporate TEG - Microsoft Page 1 Contents 1. What is Big Data?...3 2. Characteristics of Big Data...3 3. Enter Hadoop...3 4. Microsoft Big Data Solutions...4
More informationBig Data lisää älyä tiedosta
2011 Tieto Corporation Big Data lisää älyä tiedosta ebusiness Forum 21.5.2013 Ilkka Korkiakoski VP Financial Services Agenda Megatrends and needs for Big Data What is the value of Big Data? Use scenarios
More informationModernizing Your Data Warehouse for Hadoop
Modernizing Your Data Warehouse for Hadoop Big data. Small data. All data. Audie Wright, DW & Big Data Specialist Audie.Wright@Microsoft.com O 425-538-0044, C 303-324-2860 Unlock Insights on Any Data Taking
More informationWHITE PAPER. Four Key Pillars To A Big Data Management Solution
WHITE PAPER Four Key Pillars To A Big Data Management Solution EXECUTIVE SUMMARY... 4 1. Big Data: a Big Term... 4 EVOLVING BIG DATA USE CASES... 7 Recommendation Engines... 7 Marketing Campaign Analysis...
More informationSolutions for Communications with IBM Netezza Network Analytics Accelerator
Solutions for Communications with IBM Netezza Analytics Accelerator The all-in-one network intelligence appliance for the telecommunications industry Highlights The Analytics Accelerator combines speed,
More informationOperational Intelligence: Real-Time Business Analytics for Big Data Philip Russom
Operational Intelligence: Real-Time Business Analytics for Big Data Philip Russom TDWI Research Director for Data Management August 14, 2012 Sponsor Speakers Philip Russom Research Director, Data Management,
More informationBig Data, Cloud Computing, Spatial Databases Steven Hagan Vice President Server Technologies
Big Data, Cloud Computing, Spatial Databases Steven Hagan Vice President Server Technologies Big Data: Global Digital Data Growth Growing leaps and bounds by 40+% Year over Year! 2009 =.8 Zetabytes =.08
More informationDATA MANAGEMENT FOR THE INTERNET OF THINGS
DATA MANAGEMENT FOR THE INTERNET OF THINGS February, 2015 Peter Krensky, Research Analyst, Analytics & Business Intelligence Report Highlights p2 p4 p6 p7 Data challenges Managing data at the edge Time
More informationBig Data: What You Should Know. Mark Child Research Manager - Software IDC CEMA
Big Data: What You Should Know Mark Child Research Manager - Software IDC CEMA Agenda Market Dynamics Defining Big Data Technology Trends Information and Intelligence Market Realities Future Applications
More informationThe Future of Data Management with Hadoop and the Enterprise Data Hub
The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah Cofounder & CTO, Cloudera, Inc. Twitter: @awadallah 1 2 Cloudera Snapshot Founded 2008, by former employees of Employees
More informationQUICK FACTS. Implementing a Big Data Solution on Behalf of a Media House TEKSYSTEMS GLOBAL SERVICES CUSTOMER SUCCESS STORIES
[ Communications, Services ] TEKSYSTEMS GLOBAL SERVICES CUSTOMER SUCCESS STORIES Client Profile (parent company) Industry: Media, broadcasting and entertainment Revenue: Approximately $28 billion Employees:
More information