The 4 Pillars of Technosoft s Big Data Practice
|
|
- Griselda Watkins
- 8 years ago
- Views:
Transcription
1 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
2 Overview Businesses have long managed and analyzed data and have earned benefits. We come across a lot of complexity when it comes to data. Traditional datawarehousing and business intelligence deal with data that is structured and stored in a traditional relational database while other data, including documents, customer service records, pictures, videos and sensor data from machines and new information sources such as data from social media and click stream data form the new and ubiquitous source of data which is semi-structured and unstructured. The challenge is how to make sense of the intersection of these different types of data. We always had a lot of data, the difference today is that significant more of it exists and is growing and it varies in type and timeliness than ever before. Hence data needs to be managed differently. Therein lies the opportunity and challenge of Big. The emphasis is on highly advanced analytical (predictive modeling) and visualization tools (Geospatial mapping, heatmap) thereby greatly increasing the value derived. Our Big practice offers consulting, project management and systems integration services across the Big stack just described. As new and ubiquitous sources of data such as documents, customer service records, pictures, videos and sensor data that are either unstructured or semi-structured are being thrown out with ever growing volumes and velocity, never greater has been the challenge in both managing it as well as making sense of it. BIGDATA Rx is Technosoft s Big practice that is committed to working with our customers in this new and exciting field. It s your prescription for your Big headaches.
3 IT Services Consulting, Project management and System Integration Big Use End-user applications Big Analytics Visualization tools Analytical tools Big management systems Traditional BI suites and online analytical processing Basic visualization applications Traditional analytics (BI, data mining) Traditional relational database Conventional file system BI/Traditional Analytics - Big Analytics Advanced analytics (Predictive modeling, modeling & optimization) NoSQL database e-commerce, search and social gaming Advanced visualization applications - Geospatial Mapping, Dendograms, Graphs Heatmaps, Parallel Coordinates etc. In-memory computing modeling, integration and processing, storage and management Hadoop Hadoop Distributed File System (HDFS) Telematics, Predictive Asset Maintenance MapReduce programs Stream mining Complex event processing Parallel relational database Streaming data management (Storm / Apache S4) Difference between traditional and Big technology stack Traditional applications were primarily limited to data visualization, while insights from Big analytics are inputs for data-driven end-user applications. Big analytics requires advanced analytic tools on statistics, algorithms, etc. Visualization tools required are beyond charts and graphs like clustergram, dashboards, etc. Big storage and database management systems needs to be highly scalable and connected to low latency access mechanisms. Environment suitable to handle unstructured data from multiple sources. Requires Massively Parallel Processing (MPP) and NoSQL querying tools against SQL for traditional database. Our View of the Big Stack
4 Big Services and Capabilities Need Services Description Application areas* Our Practice Store large quantities of unstructured data Architecture Big architecture, RDBMS. Website click streams Tweets and Facebook likes Sensor data s In setting up BIGDATA Rx, the Big practice at Our 200 strong team consists of scientists with Technosoft, we were cognizant of the 4 main questions that repeatedly cropped up in our discussions with customers and executives alike 1. How to store large quantities of unstructured data? 2. How to achieve faster data access, storage and analysis? 3. How to accomplish real-time analysis of high volumes of data? deep background in machine learning applications across various sectors, skilled programmers in languages like R, Python and Java and business analysts with deep domain knowledge across multiple verticals. Our diverse capability is spread across Mining (40%), Integration (30%), Visualization (20%) and Architecture (10%). This ensures that the team is best equipped to help Faster data access, storage and analysis Real-time analysis of high volumes of data Integration Mining Big integration services, migration and management. Text mining, Taxonomy, Classification, Dynamic Neural Networks, Time Series Modeling, Event Sequence Analysis etc. Real-time embedded systems Algorithmic trading E-commerce Social networking Risk management Customer intelligence Revenue optimization Assortment Merchandise planning 4. How to respond to issues instantly through the power of actionable insights from analytics? you overcome these and other challenges through the application of Big concepts and technologies for a variety of industry applications. Gain actionable insights from analytics and respond to issues instantly Visualization QlikView, Tableau, SpotFire, Shiny R, D3 JS etc. Energy management SEO optimization Real-time traffic congestion detection using GPS data *Relevant industry use cases
5 Our Big Solution Architecture The following visual is a representation of how Technosoft believes Big systems can and should be architected in a complex network where multiple connected devices and sub-systems (power systems equipment, vehicle information systems and geographical information systems to name a few and which are either mechanical, electronic or computer) are emitting high volumes of unstructured data at very high velocities and are of wide varieties. The characteristics of complex networks that lend itself well to Big Analytics are: 1. Multiple subsystems, for example, routers, switches, cables, software 2. Each sub-system having characteristic nonlinear dynamical behavior 3. Sub-systems interact nonlinearly leading to intractable emergent phenomena 4. Dynamic Neural Networks can be used to predict behaviors of such networks Complex networks show similar properties and common behavior independent of technology and include Smart Grids, Internet, Computer Networks, Telecom Networks, Transportation Systems, Oil and Gas pipelines and Storage Area Networks (SAN) to name a few. 7
6 BATCH PROCESSING ENGINE Complex networks of connected Devices emit high-velocity streams Network Device Usage Service Universal Format XML CSV EDI LOG Objects SQL Text JSON Binary bases File systems Create Map Reduce Environment HADOOP CLUSTER EVENT PROCESSING STREAM PROCESSING ENGINE Warehouse Predictive analytics Business intelligence Rule Base Visualization Layer The data generated typically is network data, device data, usage data and service data. is also captured from secondary sources like social media (Twitter for instance). This streaming and non-streaming data is then processed into three different types of storage mechanism: that requires batch processing is moved into the Hadoop cluster that is of high velocity and generated rapidly is moved into the stream processing engine where for example Storm is used to take action And the traditional data warehouse is used to store data that is neither high volume nor high velocity Subsequently analytics is performed on the stored data. Rule based analytics is performed on high velocity data in which the data streams are compared with the rule base and action taken based on the program logic. On the other hand predictive analytics is performed on high volume data wherein algorithms are applied to discover patterns and take resulting action. Offline, batch & stream Processing must work together Lastly the data is then visualized in the forms of bars, charts or dashboards for actionable insights. On diverse data in motion Social Media STORM TOPOLOGY
7 Analyzing in Motion We can help A Predictive Asset Maintenance framework that minimizes equipment downtime, improves productivity, reduces service costs and enhances customer satisfaction Complex System A Big solution architecture for the era of complex networks of connected devices. Helps analyze data-in-motion and delivers actionable insights Predictive Modeling on streaming, unstructured data in motion from complex network of connected devices Scalable stream processing system Actionable visualizations and dashboards Multiple sub-systems Sub-system has characteristic nonlinear dynamical behaviour Sub-systems interact nonlinearly leading to intractable emergent phenomena Dynamic Neural Networks can be used to predict behaviours of such networks In summary our Big Solution Architecture helps in from Complex Networks of Connected Devices Analysis of Unstructured in Event Streams Near-Real-Time Analysis of -in-motion Visualization of Analytical Results in Dashboard Why Technosoft Investments in service products like Predictive Asset Maintenance framework A unique Big solution architecture Cross-functional teams that comprise scientists, Visualization experts, Technology & tool experts and domain specialists Partner ecosystem Spotfire, Microstrategy, Mirror 42, Tableau and the Open Source World
8 beyond possible Technosoft Corporation is an IT and BPO services provider with headquarters in Southfield, MI, USA and delivery centers in India. We provide information technology, business process outsourcing and consulting services to companies in North America, Australia and New Zealand and Asia-Pacific Regions. As a privately owned company we answer to only two constituencies - our customers and our employees. Our customers rely on us to provide services and solutions that leverage our industry and domain expertise combined with our technology prowess, delivery focus and quality. Our collaborative culture and work environment helps attract and retain exceptional talent which is a key ingredient of our sustained growth. See how Technosoft can go Beyond Possible for your organizational needs. wecanhelp@technosoftcorp.com Your Prescription for Big Headaches BIGDATA Rx is Technosoft s Big practice consisting of scientists and skilled programmers in lanugages like R, Python and Java offering 4-pillar services: data mining, integration, visualization and architecure. They are specialists in helping companies manage both the challenges and opportunities associated with unstructured data - volumes, velocities and variety. BIGDATA Rx is Technosoft s prescription for your Big headaches. Copyright 2013, Technosoft. All rights reserved. No part of this document may be reproduced, stored in a retrieval system, transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the express written permission from Technosoft. The information contained herein is subject to change without notice. All other trademarks mentioned herein are the property of their respective owners.
VIEWPOINT. High Performance Analytics. Industry Context and Trends
VIEWPOINT High Performance Analytics Industry Context and Trends In the digital age of social media and connected devices, enterprises have a plethora of data that they can mine, to discover hidden correlations
More informationAligning Your Strategic Initiatives with a Realistic Big Data Analytics Roadmap
Aligning Your Strategic Initiatives with a Realistic Big Data Analytics Roadmap 3 key strategic advantages, and a realistic roadmap for what you really need, and when 2012, Cognizant Topics to be discussed
More informationUsing Tableau Software with Hortonworks Data Platform
Using Tableau Software with Hortonworks Data Platform September 2013 2013 Hortonworks Inc. http:// Modern businesses need to manage vast amounts of data, and in many cases they have accumulated this data
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 informationBig Data Architecture & Analytics A comprehensive approach to harness big data architecture and analytics for growth
MAKING BIG DATA COME ALIVE Big Data Architecture & Analytics A comprehensive approach to harness big data architecture and analytics for growth Steve Gonzales, Principal Manager steve.gonzales@thinkbiganalytics.com
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 informationExecutive Summary... 2 Introduction... 3. Defining Big Data... 3. The Importance of Big Data... 4 Building a Big Data Platform...
Executive Summary... 2 Introduction... 3 Defining Big Data... 3 The Importance of Big Data... 4 Building a Big Data Platform... 5 Infrastructure Requirements... 5 Solution Spectrum... 6 Oracle s Big Data
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 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 informationAn Oracle White Paper October 2011. Oracle: Big Data for the Enterprise
An Oracle White Paper October 2011 Oracle: Big Data for the Enterprise Executive Summary... 2 Introduction... 3 Defining Big Data... 3 The Importance of Big Data... 4 Building a Big Data Platform... 5
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 informationConverged, 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
More informationAn Oracle White Paper September 2014. Oracle: Big Data for the Enterprise
An Oracle White Paper September 2014 Oracle: Big Data for the Enterprise Executive Summary... 2 Introduction... 3 Defining Big Data... 3 The Importance of Big Data... 4 Building a Big Data Platform...
More informationMicrosoft Big Data Solutions. Anar Taghiyev P-TSP E-mail: b-anarta@microsoft.com;
Microsoft Big Data Solutions Anar Taghiyev P-TSP E-mail: b-anarta@microsoft.com; Why/What is Big Data and Why Microsoft? Options of storage and big data processing in Microsoft Azure. Real Impact of Big
More informationManaging Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges
Managing Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges Prerita Gupta Research Scholar, DAV College, Chandigarh Dr. Harmunish Taneja Department of Computer Science and
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 informationAn Oracle White Paper June 2013. Oracle: Big Data for the Enterprise
An Oracle White Paper June 2013 Oracle: Big Data for the Enterprise Executive Summary... 2 Introduction... 3 Defining Big Data... 3 The Importance of Big Data... 4 Building a Big Data Platform... 5 Infrastructure
More informationSimplifying Big Data Analytics: Unifying Batch and Stream Processing. John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!!
Simplifying Big Data Analytics: Unifying Batch and Stream Processing John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!! Streaming Analy.cs S S S Scale- up Database Data And Compute Grid
More informationANALYTICS BUILT FOR INTERNET OF THINGS
ANALYTICS BUILT FOR INTERNET OF THINGS Big Data Reporting is Out, Actionable Insights are In In recent years, it has become clear that data in itself has little relevance, it is the analysis of it that
More informationHow To Use Big Data For Business
Big Data Maturity - The Photo and The Movie Mike Ferguson Managing Director, Intelligent Business Strategies BA4ALL Big Data & Analytics Insight Conference Stockholm, May 2015 About Mike Ferguson Mike
More informationSQLstream Blaze and Apache Storm A BENCHMARK COMPARISON
SQLstream Blaze and Apache Storm A BENCHMARK COMPARISON 2 The V of Big Data Velocity means both how fast data is being produced and how fast the data must be processed to meet demand. Gartner The emergence
More informationBIG 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
More informationSpatio-Temporal Networks:
Spatio-Temporal Networks: Analyzing Change Across Time and Place WHITE PAPER By: Jeremy Peters, Principal Consultant, Digital Commerce Professional Services, Pitney Bowes ABSTRACT ORGANIZATIONS ARE GENERATING
More informationIntegrating a Big Data Platform into Government:
Integrating a Big Data Platform into Government: Drive Better Decisions for Policy and Program Outcomes John Haddad, Senior Director Product Marketing, Informatica Digital Government Institute s Government
More information5 Keys to Unlocking the Big Data Analytics Puzzle. Anurag Tandon Director, Product Marketing March 26, 2014
5 Keys to Unlocking the Big Data Analytics Puzzle Anurag Tandon Director, Product Marketing March 26, 2014 1 A Little About Us A global footprint. A proven innovator. A leader in enterprise analytics for
More informationKeywords Big Data; OODBMS; RDBMS; hadoop; EDM; learning analytics, data abundance.
Volume 4, Issue 11, November 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Analytics
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 informationBIG DATA-AS-A-SERVICE
White Paper BIG DATA-AS-A-SERVICE What Big Data is about What service providers can do with Big Data What EMC can do to help EMC Solutions Group Abstract This white paper looks at what service providers
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 informationHow To Turn Big Data Into An Insight
mwd a d v i s o r s Turning Big Data into Big Insights Helena Schwenk A special report prepared for Actuate May 2013 This report is the fourth in a series and focuses principally on explaining what s needed
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 informationBig Data Executive Survey
Big Data Executive Full Questionnaire Big Date Executive Full Questionnaire Appendix B Questionnaire Welcome The survey has been designed to provide a benchmark for enterprises seeking to understand the
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 informationBig Data Are You Ready? Jorge Plascencia Solution Architect Manager
Big Data Are You Ready? Jorge Plascencia Solution Architect Manager Big Data: The Datafication Of Everything Thoughts Devices Processes Thoughts Things Processes Run the Business Organize data to do something
More informationAn Oracle White Paper November 2010. Leveraging Massively Parallel Processing in an Oracle Environment for Big Data Analytics
An Oracle White Paper November 2010 Leveraging Massively Parallel Processing in an Oracle Environment for Big Data Analytics 1 Introduction New applications such as web searches, recommendation engines,
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 informationInnovation: Add Predictability to an Unpredictable World
Innovation: Add Predictability to an Unpredictable World Improve Visibility and Control of Your Telecom Network Judith Hurwitz President and CEO Sponsored by Hitachi Data Systems Introduction It is all
More informationW H I T E P A P E R. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics. Abstract
W H I T E P A P E R Deriving Intelligence from Large Data Using Hadoop and Applying Analytics Abstract This white paper is focused on discussing the challenges facing large scale data processing and the
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 Challenges and Success Factors. Deloitte Analytics Your data, inside out
Big Data Challenges and Success Factors Deloitte Analytics Your data, inside out Big Data refers to the set of problems and subsequent technologies developed to solve them that are hard or expensive to
More informationManifest for Big Data Pig, Hive & Jaql
Manifest for Big Data Pig, Hive & Jaql Ajay Chotrani, Priyanka Punjabi, Prachi Ratnani, Rupali Hande Final Year Student, Dept. of Computer Engineering, V.E.S.I.T, Mumbai, India Faculty, Computer Engineering,
More informationReference Architecture, Requirements, Gaps, Roles
Reference Architecture, Requirements, Gaps, Roles The contents of this document are an excerpt from the brainstorming document M0014. The purpose is to show how a detailed Big Data Reference Architecture
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 informationReal-Time Data Access Using Restful Framework for Multi-Platform Data Warehouse Environment
www.wipro.com Real-Time Data Access Using Restful Framework for Multi-Platform Data Warehouse Environment Pon Prabakaran Shanmugam, Principal Consultant, Wipro Analytics practice Table of Contents 03...Abstract
More informationCollaborative Big Data Analytics. Copyright 2012 EMC Corporation. All rights reserved.
Collaborative Big Data Analytics 1 Big Data Is Less About Size, And More About Freedom TechCrunch!!!!!!!!! Total data: bigger than big data 451 Group Findings: Big Data Is More Extreme Than Volume Gartner!!!!!!!!!!!!!!!
More informationChukwa, Hadoop subproject, 37, 131 Cloud enabled big data, 4 Codd s 12 rules, 1 Column-oriented databases, 18, 52 Compression pattern, 83 84
Index A Amazon Web Services (AWS), 50, 58 Analytics engine, 21 22 Apache Kafka, 38, 131 Apache S4, 38, 131 Apache Sqoop, 37, 131 Appliance pattern, 104 105 Application architecture, big data analytics
More informationClient Overview. Engagement Situation. Key Requirements
Client Overview Our client is one of the leading providers of business intelligence systems for customers especially in BFSI space that needs intensive data analysis of huge amounts of data for their decision
More informationLuncheon 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
More informationIBM BigInsights Has Potential If It Lives Up To Its Promise. InfoSphere BigInsights A Closer Look
IBM BigInsights Has Potential If It Lives Up To Its Promise By Prakash Sukumar, Principal Consultant at iolap, Inc. IBM released Hadoop-based InfoSphere BigInsights in May 2013. There are already Hadoop-based
More informationSIMPLIFYING BIG DATA Real- &me, interac&ve data analy&cs pla4orm for Hadoop NFLABS
SIMPLIFYING BIG DATA Real- &me, interac&ve data analy&cs pla4orm for Hadoop NFLABS Did you know? Founded in 2011, NFLabs is an enterprise software c o m p a n y w o r k i n g o n developing solutions to
More informationA Next-Generation Analytics Ecosystem for Big Data. Colin White, BI Research September 2012 Sponsored by ParAccel
A Next-Generation Analytics Ecosystem for Big Data Colin White, BI Research September 2012 Sponsored by ParAccel BIG DATA IS BIG NEWS The value of big data lies in the business analytics that can be generated
More informationGain insight, agility and advantage by analyzing change across time and space.
White paper Location Intelligence Gain insight, agility and advantage by analyzing change across time and space. Spatio-temporal information analysis is a Big Data challenge. The visualization and decision
More informationAGENDA. What is BIG DATA? What is Hadoop? Why Microsoft? The Microsoft BIG DATA story. Our BIG DATA Roadmap. Hadoop PDW
AGENDA What is BIG DATA? What is Hadoop? Why Microsoft? The Microsoft BIG DATA story Hadoop PDW Our BIG DATA Roadmap BIG DATA? Volume 59% growth in annual WW information 1.2M Zetabytes (10 21 bytes) this
More informationManaging Big Data with Hadoop & Vertica. A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database
Managing Big Data with Hadoop & Vertica A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database Copyright Vertica Systems, Inc. October 2009 Cloudera and Vertica
More informationArchitecting for Big Data Analytics and Beyond: A New Framework for Business Intelligence and Data Warehousing
Architecting for Big Data Analytics and Beyond: A New Framework for Business Intelligence and Data Warehousing Wayne W. Eckerson Director of Research, TechTarget Founder, BI Leadership Forum Business Analytics
More informationBIG DATA TOOLS. Top 10 open source technologies for Big Data
BIG DATA TOOLS Top 10 open source technologies for Big Data We are in an ever expanding marketplace!!! With shorter product lifecycles, evolving customer behavior and an economy that travels at the speed
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 informationLeveraging Big Data Technologies to Support Research in Unstructured Data Analytics
Leveraging Big Data Technologies to Support Research in Unstructured Data Analytics BY FRANÇOYS LABONTÉ GENERAL MANAGER JUNE 16, 2015 Principal partenaire financier WWW.CRIM.CA ABOUT CRIM Applied research
More informationSunnie Chung. Cleveland State University
Sunnie Chung Cleveland State University Data Scientist Big Data Processing Data Mining 2 INTERSECT of Computer Scientists and Statisticians with Knowledge of Data Mining AND Big data Processing Skills:
More informationSearch and Real-Time Analytics on Big Data
Search and Real-Time Analytics on Big Data Sewook Wee, Ryan Tabora, Jason Rutherglen Accenture & Think Big Analytics Strata New York October, 2012 Big Data: data becomes your core asset. It realizes its
More informationOracle Big Data SQL Technical Update
Oracle Big Data SQL Technical Update Jean-Pierre Dijcks Oracle Redwood City, CA, USA Keywords: Big Data, Hadoop, NoSQL Databases, Relational Databases, SQL, Security, Performance Introduction This technical
More informationBig 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 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 informationBig Data Analytics. Lucas Rego Drumond
Big Data Analytics Lucas Rego Drumond Information Systems and Machine Learning Lab (ISMLL) Institute of Computer Science University of Hildesheim, Germany Big Data Analytics Big Data Analytics 1 / 36 Outline
More informationWHITE PAPER. Building Big Data Analytical Applications at Scale Using Existing ETL Skillsets INTELLIGENT BUSINESS STRATEGIES
INTELLIGENT BUSINESS STRATEGIES WHITE PAPER Building Big Data Analytical Applications at Scale Using Existing ETL Skillsets By Mike Ferguson Intelligent Business Strategies June 2015 Prepared for: Table
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 informationThe 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
More informationSAP 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
More informationDatabricks. A Primer
Databricks A Primer Who is Databricks? Databricks vision is to empower anyone to easily build and deploy advanced analytics solutions. The company was founded by the team who created Apache Spark, a powerful
More informationBIG DATA IN BUSINESS ENVIRONMENT
Scientific Bulletin Economic Sciences, Volume 14/ Issue 1 BIG DATA IN BUSINESS ENVIRONMENT Logica BANICA 1, Alina HAGIU 2 1 Faculty of Economics, University of Pitesti, Romania olga.banica@upit.ro 2 Faculty
More informationwww.intelligentbusiness.biz mferguson@intelligentbusiness.biz Twitter: @mikeferguson1
Welcome to Today s Web Seminar! March 15, 2011 12:00PM ET Sponsored by: Hosted by: Eric Kavanagh is the host of DM Radio and Information Management's Webcasts. He is a veteran journalist and consultant
More informationData Challenges in Telecommunications Networks and a Big Data Solution
Data Challenges in Telecommunications Networks and a Big Data Solution Abstract The telecom networks generate multitudes and large sets of data related to networks, applications, users, network operations
More informationDatabricks. A Primer
Databricks A Primer Who is Databricks? Databricks was founded by the team behind Apache Spark, the most active open source project in the big data ecosystem today. Our mission at Databricks is to dramatically
More informationA Case Study of Hadoop in Healthcare
Leading a Healthcare Company to the Big Data Promised Land: A Case Study of Hadoop in Healthcare Mohammad Quraishi (IT Senior Principal - Cigna) atif71@gmail.com About me BS in Computer Science and Engineering
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 informationHow to use Big Data in Industry 4.0 implementations. LAURI ILISON, PhD Head of Big Data and Machine Learning
How to use Big Data in Industry 4.0 implementations LAURI ILISON, PhD Head of Big Data and Machine Learning Big Data definition? Big Data is about structured vs unstructured data Big Data is about Volume
More informationwww.pwc.com/oracle Next presentation starting soon Business Analytics using Big Data to gain competitive advantage
www.pwc.com/oracle Next presentation starting soon Business Analytics using Big Data to gain competitive advantage If every image made and every word written from the earliest stirring of civilization
More informationData Virtualization A Potential Antidote for Big Data Growing Pains
perspective Data Virtualization A Potential Antidote for Big Data Growing Pains Atul Shrivastava Abstract Enterprises are already facing challenges around data consolidation, heterogeneity, quality, and
More informationThe Lab and The Factory
The Lab and The Factory Architecting for Big Data Management April Reeve DAMA Wisconsin March 11 2014 1 A good speech should be like a woman's skirt: long enough to cover the subject and short enough to
More informationHow To Learn To Use Big Data
Information Technologies Programs Big Data Specialized Studies Accelerate Your Career extension.uci.edu/bigdata Offered in partnership with University of California, Irvine Extension s professional certificate
More informationDatenverwaltung im Wandel - Building an Enterprise Data Hub with
Datenverwaltung im Wandel - Building an Enterprise Data Hub with Cloudera Bernard Doering Regional Director, Central EMEA, Cloudera Cloudera Your Hadoop Experts Founded 2008, by former employees of Employees
More informationANALYTICS STRATEGY: creating a roadmap for success
ANALYTICS STRATEGY: creating a roadmap for success Companies in the capital and commodity markets are looking at analytics for opportunities to improve revenue and cost savings. Yet, many firms are struggling
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 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 informationHortonworks & 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
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 informationBig Data & QlikView. Democratizing Big Data Analytics. David Freriks Principal Solution Architect
Big Data & QlikView Democratizing Big Data Analytics David Freriks Principal Solution Architect TDWI Vancouver Agenda What really is Big Data? How do we separate hype from reality? How does that relate
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 informationEvolution to Revolution: Big Data 2.0
Evolution to Revolution: Big Data 2.0 An ENTERPRISE MANAGEMENT ASSOCIATES (EMA ) White Paper Prepared for Actian March 2014 IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Table of Contents
More informationIntegrating Hadoop. Into Business Intelligence & Data Warehousing. Philip Russom TDWI Research Director for Data Management, April 9 2013
Integrating Hadoop Into Business Intelligence & Data Warehousing Philip Russom TDWI Research Director for Data Management, April 9 2013 TDWI would like to thank the following companies for sponsoring the
More informationUNIFY YOUR (BIG) DATA
UNIFY YOUR (BIG) DATA ANALYTIC STRATEGY GIVE ANY USER ANY ANALYTIC ON ANY DATA Scott Gnau President, Teradata Labs scott.gnau@teradata.com t Unify Your (Big) Data Analytic Strategy Technology excitement:
More informationSurvey of Big Data Architecture and Framework from the Industry
Survey of Big Data Architecture and Framework from the Industry NIST Big Data Public Working Group Sanjay Mishra May13, 2014 3/19/2014 NIST Big Data Public Working Group 1 NIST BD PWG Survey of Big Data
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 informationW H I T E P A P E R. Architecting A Big Data Platform for Analytics INTELLIGENT BUSINESS STRATEGIES
INTELLIGENT BUSINESS STRATEGIES W H I T E P A P E R Architecting A Big Data Platform for Analytics By Mike Ferguson Intelligent Business Strategies October 2012 Prepared for: Table of Contents Introduction...
More informationAnalytics in the Cloud. Peter Sirota, GM Elastic MapReduce
Analytics in the Cloud Peter Sirota, GM Elastic MapReduce Data-Driven Decision Making Data is the new raw material for any business on par with capital, people, and labor. What is Big Data? Terabytes of
More informationEmpower Your organization with
Empower Your organization with Big Data Predictive Analytics Solutions AUTOMOBILES MACHINE DATA POINT SALE SOCIAL NET WORK RFID CUSTOMER BASED TEXT DATA SMART METER MOBILE DATA LOCATION BASED STRUCTURED
More informationBig Data Analytics. with EMC Greenplum and Hadoop. Big Data Analytics. Ofir Manor Pre Sales Technical Architect EMC Greenplum
Big Data Analytics with EMC Greenplum and Hadoop Big Data Analytics with EMC Greenplum and Hadoop Ofir Manor Pre Sales Technical Architect EMC Greenplum 1 Big Data and the Data Warehouse Potential All
More informationSQLstream 4 Product Brief. CHANGING THE ECONOMICS OF BIG DATA SQLstream 4.0 product brief
SQLstream 4 Product Brief CHANGING THE ECONOMICS OF BIG DATA SQLstream 4.0 product brief 2 Latest: The latest release of SQlstream s award winning s-streaming Product Portfolio, SQLstream 4, is changing
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 information