Building an Agile Big Data Infrastructure Have We Been Looking at Databases Wrong this Whole Time?
|
|
- Johnathan Carroll
- 8 years ago
- Views:
Transcription
1 Building an Agile Big Data Infrastructure Have We Been Looking at Databases Wrong this Whole Time? Presented by: Cory Isaacson, CEO CodeFutures Corporation Spring 2014
2 Introduction Who I am Cory Isaacson, CEO/CTO of CodeFutures Providers of scalable database technology Author of Software Pipelines Understanding Big Data (coming soon) Leaders in scalability, performance, high-availability and database solutions based on real-world experience with dozens of cloud-based and data center hosted applications social networking, gaming, data collection, mobile, analytics Objective is to provide useful experience you can apply to scaling (and managing) your database tier for Big Data especially for high volume applications
3 What I will cover Have we been looking at databases the wrong way? An Agile View of Big Data
4 Big Data what does it all mean?
5 Where is all this Big Data coming from?
6 All data is Relational Data has no meaning without relationships to other data a set of unmatched CUSTOMER_ORDER records with no CUSTOMER a Social Network that just shows random friends The world we live in is relational CUSTOMERs have CUSTOMER_ORDERs (1:m) DEVICEs produce DEVICE_MESSAGEs (1:m) MEETUPs have MEMBERs (1:m) PERSONs have NAMEs (1:1) Relationships translate directly to indexing, performance optimal performance is achieved when related data is stored in close proximity for fast retrieval
7 Data modeling 101 Data modeling is a vital skill and process for any software project Discover an Entity Discover a Relationship Discover Attributes New DBMS options make data modeling more critical then ever Flexible NoSQL data stores can store virtually any type of structure Lack of upfront data design will run any project into trouble (eventually) beware of the fast start leading to a train wreck
8 Who manages data relationships? An RDBMS helps still requires proper design, understanding of the relational model NoSQL/NewSQL stores its all up to you
9 Have we been looking at databases the wrong way?
10 Have we been looking at databases the wrong way?
11 Have we been looking at databases the wrong way?
12 A story in the life of a Game application
13 A story in the life of a Game application The game is growing fast Players want to see the Game instances they have played
14 A story in the life of a Game application
15 A story in the life of a Game application The game is big now Players want to see the other Players for a Game instance they have played
16 A story in the life of a Game application
17 A story in the life of a Game application The Game is really big now but it s not making $$$ Need to track all Player Actions in the game driving huge Big Data
18 A story in the life of a Game application Players want to see a Leader Board of the Top 100 Players
19 A story in the life of a Game application Players want to see a Leader Board for all Players Players want to be in Teams and have Leader Boards for that structure
20 Have we been looking at databases the wrong way?
21 An Agile View for Big Data
22 The Agile View of Big Data Create Distributed Views that are Eventually Consistent to manage a Polyglot DBMS environment Instead of looking at your database as a static repository Look at it as a series of Streams Views
23 The ideal View
24 10 Characteristics of an Agile Big Data Platform 1. Data is processed as a dynamic real-time stream. 2. Data input should be simple. 3. Dynamic views are the core construct. 4. View schemas exactly match application needs. 5. Persistence engines are pluggable, using the right tool for a given view, embracing a Polyglot approach. 6. View queries are fast and easy. 7. Views and streams must support transactions. 8. Views auto-scale according to optimal search criteria. 9. Views and streams must be fully reliable with hassle-free management. 10. An Agile Big Data Platform must seamlessly interoperate with existing database infrastructures.
25 MySQL to BigQuery Example
26 Questions/Answers Cory Isaacson CodeFutures Corporation
How To Scale Big Data
Real-time Big Data An Agile Approach Presented by: Cory Isaacson, CEO CodeFutures Corporation http://www.codefutures.com Fall 2014 Introduction Who I am Cory Isaacson, CEO/CTO of CodeFutures Providers
More informationFast Innovation requires Fast IT
Fast Innovation requires Fast IT 2014 Cisco and/or its affiliates. All rights reserved. 2 2014 Cisco and/or its affiliates. All rights reserved. 3 IoT World Forum Architecture Committee 2013 Cisco and/or
More informationREAL-TIME BIG DATA ANALYTICS
www.leanxcale.com info@leanxcale.com REAL-TIME BIG DATA ANALYTICS Blending Transactional and Analytical Processing Delivers Real-Time Big Data Analytics 2 ULTRA-SCALABLE FULL ACID FULL SQL DATABASE LeanXcale
More informationHow In-Memory Data Grids Can Analyze Fast-Changing Data in Real Time
SCALEOUT SOFTWARE How In-Memory Data Grids Can Analyze Fast-Changing Data in Real Time by Dr. William Bain and Dr. Mikhail Sobolev, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 T wenty-first
More informationPreparing Your Data For Cloud
Preparing Your Data For Cloud Narinder Kumar Inphina Technologies 1 Agenda Relational DBMS's : Pros & Cons Non-Relational DBMS's : Pros & Cons Types of Non-Relational DBMS's Current Market State Applicability
More informationCloud Big Data Architectures
Cloud Big Data Architectures Lynn Langit QCon Sao Paulo, Brazil 2016 About this Workshop Real-world Cloud Scenarios w/aws, Azure and GCP 1. Big Data Solution Types 2. Data Pipelines 3. ETL and Visualization
More informationPowerful Management of Financial Big Data
Powerful Management of Financial Big Data TickSmith s solutions are the first to apply the processing power, speed, and capacity of cutting-edge Big Data technology to financial data. We combine open source
More informationNew Eco-Systems in the software and service domain in the Cloud area
New Eco-Systems in the software and service domain in the Cloud area What s in it for enterprises Dr. Harald Schöning, Software AG Member of the NESSI Board Outline September 28, 2012 2 Pre-Cloud Situation
More informationNoSQL Databases. Polyglot Persistence
The future is: NoSQL Databases Polyglot Persistence a note on the future of data storage in the enterprise, written primarily for those involved in the management of application development. Martin Fowler
More informationPRAISE FOR UNDERSTANDING BIG DATA SCALABILITY
PRAISE FOR UNDERSTANDING BIG DATA SCALABILITY This book is useful to anyone who works with data and wants to learn more about scaling. Cory helps you understand what causes databases to slow down as data
More informationIntroduction to Integrated Marketing: Lead Scoring
Introduction to Integrated Marketing: Lead Scoring Are You Making The Most Of Your Sales Leads? Lead scoring is a key missing link in many B2B marketing strategies. According to a recent Gartner study,
More informationKafka & Redis for Big Data Solutions
Kafka & Redis for Big Data Solutions Christopher Curtin Head of Technical Research @ChrisCurtin About Me 25+ years in technology Head of Technical Research at Silverpop, an IBM Company (14 + years at Silverpop)
More informationNoSQL storage and management of geospatial data with emphasis on serving geospatial data using standard geospatial web services
NoSQL storage and management of geospatial data with emphasis on serving geospatial data using standard geospatial web services Pouria Amirian, Adam Winstanley, Anahid Basiri Department of Computer Science,
More informationTraditional BI vs. Business Data Lake A comparison
Traditional BI vs. Business Data Lake A comparison The need for new thinking around data storage and analysis Traditional Business Intelligence (BI) systems provide various levels and kinds of analyses
More informationHow to leverage SAP HANA for fast ROI and business advantage 5 STEPS. to success. with SAP HANA. Unleashing the value of HANA
How to leverage SAP HANA for fast ROI and business advantage 5 STEPS to success with SAP HANA Unleashing the value of HANA 5 steps to success with SAP HANA How to leverage SAP HANA for fast ROI and business
More informationIntroduction to Big Data the four V's
Chapter 1: Introduction to Big Data the four V's This chapter is mainly based on the Big Data script by Donald Kossmann and Nesime Tatbul (ETH Zürich) Big Data Management and Analytics 15 Goal of Today
More informationAleksandar Nenov. Devops Talk Belgrade 2015
Learning about Cloud Computing with Aleksandar Nenov Who am I? My name is Aleksandar Nenov I live and work in Novi Sad, Serbia Senior IT Consultant Devops practitioner Founder & CEO at CLOUDWEBOPS (WhiteCitySoft
More informationOne Size Doesn t Fit All Choosing which big data, NoSQL or database technology to use
One Size Doesn t Fit All Choosing which big data, NoSQL or database technology to use March 14, 2012 Mark R. Madsen http://thirdnature.net The problem of big is three problems of volume Computations! Amount
More informationwww.objectivity.com Choosing The Right Big Data Tools For The Job A Polyglot Approach
www.objectivity.com Choosing The Right Big Data Tools For The Job A Polyglot Approach Nic Caine NoSQL Matters, April 2013 Overview The Problem Current Big Data Analytics Relationship Analytics Leveraging
More informationGigaSpaces Real-Time Analytics for Big Data
GigaSpaces Real-Time Analytics for Big Data GigaSpaces makes it easy to build and deploy large-scale real-time analytics systems Rapidly increasing use of large-scale and location-aware social media and
More informationOptimizing the Hybrid Cloud
Judith Hurwitz President and CEO Marcia Kaufman COO and Principal Analyst Sponsored by IBM Introduction Hybrid cloud is fast becoming a reality for enterprises that want speed, predictability and flexibility
More informationINTRODUCING APACHE IGNITE An Apache Incubator Project
WHITE PAPER BY GRIDGAIN SYSTEMS FEBRUARY 2015 INTRODUCING APACHE IGNITE An Apache Incubator Project COPYRIGHT AND TRADEMARK INFORMATION 2015 GridGain Systems. All rights reserved. This document is provided
More informationBig Data Solutions. Portal Development with MongoDB and Liferay. Solutions
Big Data Solutions Portal Development with MongoDB and Liferay Solutions Introduction Companies have made huge investments in Business Intelligence and analytics to better understand their clients and
More informationStructured Data Storage
Structured Data Storage Xgen Congress Short Course 2010 Adam Kraut BioTeam Inc. Independent Consulting Shop: Vendor/technology agnostic Staffed by: Scientists forced to learn High Performance IT to conduct
More informationNo-SQL Databases for High Volume Data
Target Conference 2014 No-SQL Databases for High Volume Data Edward Wijnen 3 November 2014 The New Connected World Needs a Revolutionary New DBMS Today The Internet of Things 1990 s Mobile 1970 s Mainfram
More informationScaleArc idb Solution for SQL Server Deployments
ScaleArc idb Solution for SQL Server Deployments Objective This technology white paper describes the ScaleArc idb solution and outlines the benefits of scaling, load balancing, caching, SQL instrumentation
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 informationUsing an In-Memory Data Grid for Near Real-Time Data Analysis
SCALEOUT SOFTWARE Using an In-Memory Data Grid for Near Real-Time Data Analysis by Dr. William Bain, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 IN today s competitive world, businesses
More informationNew Design Principles for Effective Knowledge Discovery from Big Data
New Design Principles for Effective Knowledge Discovery from Big Data Anjana Gosain USICT Guru Gobind Singh Indraprastha University Delhi, India Nikita Chugh USICT Guru Gobind Singh Indraprastha University
More informationCSE 544 Principles of Database Management Systems. Magdalena Balazinska (magda) Spring 2006 Lecture 1 - Class Introduction
CSE 544 Principles of Database Management Systems Magdalena Balazinska (magda) Spring 2006 Lecture 1 - Class Introduction Outline Introductions Class overview What is the point of a database? Course Staff
More informationTest Management Tools
Test White Management Paper Tools Test Management Tools Table of Contents Executive Summary 3 Why Test Management Tools are required 4 What is QMetry? 5 QMetry Features 6 The Tools of QMetry 7 Conclusion
More informationTowards a Domain-Specific Framework for Predictive Analytics in Manufacturing. David Lechevalier Anantha Narayanan Sudarsan Rachuri
Towards a Framework for Predictive Analytics in Manufacturing David Lechevalier Anantha Narayanan Sudarsan Rachuri Outline 2 1. Motivation 1. Why Big in Manufacturing? 2. What is needed to apply Big in
More informationGoogle Cloud Platform The basics
Google Cloud Platform The basics Who I am Alfredo Morresi ROLE Developer Relations Program Manager COUNTRY Italy PASSIONS Community, Development, Snowboarding, Tiramisu' Reach me alfredomorresi@google.com
More informationOPTIMIZING PERFORMANCE IN AMAZON EC2 INTRODUCTION: LEVERAGING THE PUBLIC CLOUD OPPORTUNITY WITH AMAZON EC2. www.boundary.com
OPTIMIZING PERFORMANCE IN AMAZON EC2 While the business decision to migrate to Amazon public cloud services can be an easy one, tracking and managing performance in these environments isn t so clear cut.
More informationBIG Big Data Public Private Forum
DATA STORAGE Martin Strohbach, AGT International (R&D) THE DATA VALUE CHAIN Value Chain Data Acquisition Data Analysis Data Curation Data Storage Data Usage Structured data Unstructured data Event processing
More informationProcessing and Analyzing Streams. CDRs in Real Time
Processing and Analyzing Streams of CDRs in Real Time Streaming Analytics for CDRs 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
More informationBig Data. Donald Kossmann & Nesime Tatbul Systems Group ETH Zurich
Big Data Donald Kossmann & Nesime Tatbul Systems Group ETH Zurich Goal of Today What is Big Data? introduce all major buzz words What is not Big Data? get a feeling for opportunities & limitations Answering
More informationINTRODUCTION TO CASSANDRA
INTRODUCTION TO CASSANDRA This ebook provides a high level overview of Cassandra and describes some of its key strengths and applications. WHAT IS CASSANDRA? Apache Cassandra is a high performance, open
More informationG-Cloud Framework. Service Definition. Oracle Fusion Middleware Design and Implementation
Fusion Middleware G-Cloud Framework Service Definition Oracle Fusion Middleware Design and Implementation Prepared for: G-Cloud Document: Fusion Middleware Version: 0.1 Issue Date: 06/09/2013 1 OVERVIEW
More informationBig Data Analytics - Accelerated. stream-horizon.com
Big Data Analytics - Accelerated stream-horizon.com StreamHorizon & Big Data Integrates into your Data Processing Pipeline Seamlessly integrates at any point of your your data processing pipeline Implements
More informationBig Data, Fast Data, Complex Data. Jans Aasman Franz Inc
Big Data, Fast Data, Complex Data Jans Aasman Franz Inc Private, founded 1984 AI, Semantic Technology, professional services Now in Oakland Franz Inc Who We Are (1 (2 3) (4 5) (6 7) (8 9) (10 11) (12
More informationTHE CORNERSTONE DIFFERENCE
THE CORNERSTONE DIFFERENCE INTRODUCTION In a market that has markedly shifted over the last few years towards large, generalist ERP suites and mixed delivery models, it has become quite clear that Cornerstone
More informationHow To Choose A Data Flow Pipeline From A Data Processing Platform
S N A P L O G I C T E C H N O L O G Y B R I E F SNAPLOGIC BIG DATA INTEGRATION PROCESSING PLATFORMS 2 W Fifth Avenue Fourth Floor, San Mateo CA, 94402 telephone: 888.494.1570 www.snaplogic.com Big Data
More informationOracle Database 12c Plug In. Switch On. Get SMART.
Oracle Database 12c Plug In. Switch On. Get SMART. Duncan Harvey Head of Core Technology, Oracle EMEA March 2015 Safe Harbor Statement The following is intended to outline our general product direction.
More informationWhy DBMSs Matter More than Ever in the Big Data Era
E-PAPER FEBRUARY 2014 Why DBMSs Matter More than Ever in the Big Data Era Having the right database infrastructure can make or break big data analytics projects. TW_1401138 Big data has become big news
More informationBig Data Architectures. Tom Cahill, Vice President Worldwide Channels, Jaspersoft
Big Data Architectures Tom Cahill, Vice President Worldwide Channels, Jaspersoft Jaspersoft + Big Data = Fast Insights Success in the Big Data era is more than about size. It s about getting insight from
More informationDomain driven design, NoSQL and multi-model databases
Domain driven design, NoSQL and multi-model databases Java Meetup New York, 10 November 2014 Max Neunhöffer www.arangodb.com Max Neunhöffer I am a mathematician Earlier life : Research in Computer Algebra
More informationScaleArc for SQL Server
Solution Brief ScaleArc for SQL Server Overview Organizations around the world depend on SQL Server for their revenuegenerating, customer-facing applications, running their most business-critical operations
More informationComplex, true real-time analytics on massive, changing datasets.
Complex, true real-time analytics on massive, changing datasets. A NoSQL, all in-memory enabling platform technology from: Better Questions Come Before Better Answers FinchDB is a NoSQL, all in-memory
More informationInfrastructures for big data
Infrastructures for big data Rasmus Pagh 1 Today s lecture Three technologies for handling big data: MapReduce (Hadoop) BigTable (and descendants) Data stream algorithms Alternatives to (some uses of)
More informationBuilding Success on Acquia Cloud:
Building Success on Acquia Cloud: 10 Layers of PaaS TECHNICAL Guide Table of Contents Executive Summary.... 3 Introducing the 10 Layers of PaaS... 4 The Foundation: Five Layers of PaaS Infrastructure...
More informationPromises and Pitfalls of Big-Data-Predictive Analytics: Best Practices and Trends
Promises and Pitfalls of Big-Data-Predictive Analytics: Best Practices and Trends Spring 2015 Thomas Hill, Ph.D. VP Analytic Solutions Dell Statistica Overview and Agenda Dell Software overview Dell in
More informationWeb Application Deployment in the Cloud Using Amazon Web Services From Infancy to Maturity
P3 InfoTech Solutions Pvt. Ltd http://www.p3infotech.in July 2013 Created by P3 InfoTech Solutions Pvt. Ltd., http://p3infotech.in 1 Web Application Deployment in the Cloud Using Amazon Web Services From
More informationCase Study: Real-time Analytics With Druid. Salil Kalia, Tech Lead, TO THE NEW Digital
Case Study: Real-time Analytics With Druid Salil Kalia, Tech Lead, TO THE NEW Digital Agenda Understanding the use-case Ad workflow Our use case Experiments with technologies Redis Cassandra Introduction
More informationHow HMI Users can Benefit from a Process Historian. by Jim Frider, Product Marketing Manager, Information Products, Schneider Electric
How Users can Benefit from a Process by Jim Frider, Product Marketing Manager, Information Products, Schneider Electric How Users can Benefit from a Process Introduction Today, a person with a smart phone
More informationTeleScope Digital Asset Management Solution Overview. Campaigns Can Only Move as Fast as Their Content
TeleScope Digital Asset Management Solution Overview Campaigns Can Only Move as Fast as Their Content TeleScope Digital Asset Management for Marketing Volume and Speed Interactive marketing, social media
More informationIncrease Business Velocity with Connected, Insightful, Cloud-Based Software
SAP Brief SAP Business ByDesign Objectives Increase Business Velocity with Connected, Insightful, Cloud-Based Software Integrated, cloud software that s quick to deploy and adapt Integrated, cloud software
More informationHow To Use Big Data For Telco (For A Telco)
ON-LINE VIDEO ANALYTICS EMBRACING BIG DATA David Vanderfeesten, Bell Labs Belgium ANNO 2012 YOUR DATA IS MONEY BIG MONEY! Your click stream, your activity stream, your electricity consumption, your call
More informationEuropean Archival Records and Knowledge Preservation Database Archiving in the E-ARK Project
European Archival Records and Knowledge Preservation Database Archiving in the E-ARK Project Janet Delve, University of Portsmouth Kuldar Aas, National Archives of Estonia Rainer Schmidt, Austrian Institute
More informationMakeMyTrip CUSTOMER SUCCESS STORY
MakeMyTrip CUSTOMER SUCCESS STORY MakeMyTrip is the leading travel site in India that is running two ClustrixDB clusters as multi-master in two regions. It removed single point of failure. MakeMyTrip frequently
More informationWINDOWS AZURE DATA MANAGEMENT AND BUSINESS ANALYTICS
WINDOWS AZURE DATA MANAGEMENT AND BUSINESS ANALYTICS Managing and analyzing data in the cloud is just as important as it is anywhere else. To let you do this, Windows Azure provides a range of technologies
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 informationWhere We Are. References. Cloud Computing. Levels of Service. Cloud Computing History. Introduction to Data Management CSE 344
Where We Are Introduction to Data Management CSE 344 Lecture 25: DBMS-as-a-service and NoSQL We learned quite a bit about data management see course calendar Three topics left: DBMS-as-a-service and NoSQL
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 informationReference Model for Cloud Applications CONSIDERATIONS FOR SW VENDORS BUILDING A SAAS SOLUTION
October 2013 Daitan White Paper Reference Model for Cloud Applications CONSIDERATIONS FOR SW VENDORS BUILDING A SAAS SOLUTION Highly Reliable Software Development Services http://www.daitangroup.com Cloud
More informationNoSQL in der Cloud Why? Andreas Hartmann
NoSQL in der Cloud Why? Andreas Hartmann 17.04.2013 17.04.2013 2 NoSQL in der Cloud Why? Quelle: http://res.sys-con.com/story/mar12/2188748/cloudbigdata_0_0.jpg Why Cloud??? 17.04.2013 3 NoSQL in der Cloud
More informationFrom Spark to Ignition:
From Spark to Ignition: Fueling Your Business on Real-Time Analytics Eric Frenkiel, MemSQL CEO June 29, 2015 San Francisco, CA What s in Store For This Presentation? 1. MemSQL: A real-time database for
More informationWHITE PAPER. The 7 Deadly Sins of. Dashboard Design
WHITE PAPER The 7 Deadly Sins of Dashboard Design Overview In the new world of business intelligence (BI), the front end of an executive management platform, or dashboard, is one of several critical elements
More informationIncrease Agility and Reduce Costs with a Logical Data Warehouse. February 2014
Increase Agility and Reduce Costs with a Logical Data Warehouse February 2014 Table of Contents Summary... 3 Data Virtualization & the Logical Data Warehouse... 4 What is a Logical Data Warehouse?... 4
More informationBIG DATA AND THE ENTERPRISE DATA WAREHOUSE WORKSHOP
BIG DATA AND THE ENTERPRISE DATA WAREHOUSE WORKSHOP Business Analytics for All Amsterdam - 2015 Value of Big Data is Being Recognized Executives beginning to see the path from data insights to revenue
More informationReal-Time Stream Processing and Cloud-Based Big Data Increasing in Today s Enterprises
Big Data Survey Real-Time Stream Processing and Cloud-Based Big Data Increasing in Today s Enterprises Companies, Increasingly Seeing Big Data as Mission-Critical, Want Two Things: To Take Big Data to
More informationEmerging Requirements and DBMS Technologies:
Emerging Requirements and DBMS Technologies: When Is Relational the Right Choice? Carl Olofson Research Vice President, IDC April 1, 2014 Agenda 2 Why Relational in the First Place? Evolution of Databases
More informationAccelerating Hadoop MapReduce Using an In-Memory Data Grid
Accelerating Hadoop MapReduce Using an In-Memory Data Grid By David L. Brinker and William L. Bain, ScaleOut Software, Inc. 2013 ScaleOut Software, Inc. 12/27/2012 H adoop has been widely embraced for
More informationAravind Gottapu Jerry Timko Embracing Lumira Session #3566
Aravind Gottapu Jerry Timko Embracing Lumira Session #3566 AGENDA Choosing Lumira @ Cardinal Health What went wrong Data Discovery vs Traditional BI Why is this the right time to have strong business case
More informationIntro to AWS: Storage Services
Intro to AWS: Storage Services Matt McClean, AWS Solutions Architect 2015, Amazon Web Services, Inc. or its affiliates. All rights reserved AWS storage options Scalable object storage Inexpensive archive
More informationEnabling Database-as-a-Service (DBaaS) within Enterprises or Cloud Offerings
Solution Brief Enabling Database-as-a-Service (DBaaS) within Enterprises or Cloud Offerings Introduction Accelerating time to market, increasing IT agility to enable business strategies, and improving
More informationBuilding the Internet of Things Jim Green - CTO, Data & Analytics Business Group, Cisco Systems
Building the Internet of Things Jim Green - CTO, Data & Analytics Business Group, Cisco Systems Brian McCarson Sr. Principal Engineer & Sr. System Architect, Internet of Things Group, Intel Corp Mac Devine
More informationReferences. Introduction to Database Systems CSE 444. Motivation. Basic Features. Outline: Database in the Cloud. Outline
References Introduction to Database Systems CSE 444 Lecture 24: Databases as a Service YongChul Kwon Amazon SimpleDB Website Part of the Amazon Web services Google App Engine Datastore Website Part of
More informationIntroduction to Database Systems CSE 444
Introduction to Database Systems CSE 444 Lecture 24: Databases as a Service YongChul Kwon References Amazon SimpleDB Website Part of the Amazon Web services Google App Engine Datastore Website Part of
More informationTo run large data set applications in the cloud, and run them well,
How to Harness the Power of DBaaS and the Cloud to Achieve Superior Application Performance To run large data set applications in the cloud, and run them well, businesses and other organizations have embraced
More informationEnsighten Data Layer (EDL) The Missing Link in Data Management
The Missing Link in Data Management Introduction Digital properties are a nexus of customer centric data from multiple vectors and sources. This is a wealthy source of business-relevant data that can be
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 informationInternet of Things. Opportunity Challenges Solutions
Internet of Things Opportunity Challenges Solutions Copyright 2014 Boeing. All rights reserved. GPDIS_2015.ppt 1 ANALYZING INTERNET OF THINGS USING BIG DATA ECOSYSTEM Internet of Things matter for... Industrial
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 informationnext generation privilege identity management
next generation privilege identity management Nowadays enterprise IT teams are focused on adopting and supporting newer devices, applications and platforms to address business needs and keep up pace with
More informationUnderstanding the Value of Financial Intelligence for Cloud Management. A white paper by David Linthicum
Understanding the Value of Financial Intelligence for Cloud Management A white paper by David Linthicum Hybrid IT Computing 2 Executive Summary Most of those who fund and operate cloud-based or virtualized
More informationNetApp Big Content Solutions: Agile Infrastructure for Big Data
White Paper NetApp Big Content Solutions: Agile Infrastructure for Big Data Ingo Fuchs, NetApp April 2012 WP-7161 Executive Summary Enterprises are entering a new era of scale, in which the amount of data
More informationApplying Semantics to Unstructured Data (Big and Getting Bigger)
Applying Semantics to Unstructured Data (Big and Getting Bigger) Wednesday, November 30, 2012 4:00 5:00 Bryan Bell Vice President, Enterprise Solutions, Expert System Lynda Moulton, Analyst & Consultant,
More informationHow To Write A Database Program
SQL, NoSQL, and Next Generation DBMSs Shahram Ghandeharizadeh Director of the USC Database Lab Outline A brief history of DBMSs. OSs SQL NoSQL 1960/70 1980+ 2000+ Before Computers Database DBMS/Data Store
More informationClient Overview. Engagement Situation. Key Requirements for Platform Development :
Client Overview Our client provides leading video platform for enterprise HD video conferencing and has product suite focused on product-based visual communication solutions. Our client leverages its solutions
More informationthese three NoSQL databases because I wanted to see a the two different sides of the CAP
Michael Sharp Big Data CS401r Lab 3 For this paper I decided to do research on MongoDB, Cassandra, and Dynamo. I chose these three NoSQL databases because I wanted to see a the two different sides of the
More informationAIReS. Company: American International Relocation Solutions. Industry: Domestic and Global Relocation Solutions
Company: American International Relocation Solutions Industry: Domestic and Global Relocation Solutions Oracle Technology and Services: Oracle JDeveloper 10.1.3.1 / Oracle ADF Oracle JDeveloper plugin
More informationArchitecting an Industrial Sensor Data Platform for Big Data Analytics
Architecting an Industrial Sensor Data Platform for Big Data Analytics 1 Welcome For decades, organizations have been evolving best practices for IT (Information Technology) and OT (Operation Technology).
More informationModern IT Operations Management. Why a New Approach is Required, and How Boundary Delivers
Modern IT Operations Management Why a New Approach is Required, and How Boundary Delivers TABLE OF CONTENTS EXECUTIVE SUMMARY 3 INTRODUCTION: CHANGING NATURE OF IT 3 WHY TRADITIONAL APPROACHES ARE FAILING
More informationBusiness Process Management in the Finance Sector
Business Process Management in the Finance Sector Leveraging the power of processes for profit oracle.com Introduction It is vital for financial services companies to ensure the rapid implementation of
More informationDatabases in Organizations
The following is an excerpt from a draft chapter of a new enterprise architecture text book that is currently under development entitled Enterprise Architecture: Principles and Practice by Brian Cameron
More informationAchieving Zero Downtime and Accelerating Performance for WordPress
Application Note Achieving Zero Downtime and Accelerating Performance for WordPress Executive Summary WordPress is the world s most popular open source website content management system (CMS). As usage
More informationRealizing the Benefits of Data Modernization
February 2015 Perspective Realizing the Benefits of How to overcome legacy data challenges with innovative technologies and a seamless data modernization roadmap. Companies born into the digital world
More informationConducting a Successful Cloudmarket CIO
As companies emerge from challenging economic times and turn the corner to face tremendous opportunities, the CIO's role is more and more about strategy and optimizing business results. Today s complex
More information