ETL challenges on IOT projects. Pedro Martins Head of Implementation
|
|
- Carmel Bruce
- 6 years ago
- Views:
Transcription
1 ETL challenges on IOT projects Pedro Martins Head of Implementation
2 Outline What is Pentaho Pentaho Data Integration (PDI) Smartcity Copenhagen Example of Data structure without an OLAP schema Telematics Many-to-many Caterpillar Predictive Analytics
3 Pentaho
4 EXABYTES OF DATA At the Beginning of a Data Revolution We are ONLY here! 40% Machine Data 50X Growth 77% of data relevant to enterprises will be unstructured
5 New Technology Paradigms have Emerged The universe of data is exploding and data is connecting people and things New data architectures must blend and analyze all data regardless of source Users will consume analytics in new ways: data driven apps
6 WHAT WE BELIEVE Big data is completely altering the market requirements for analytics Even big data needs to play well with others. The most powerful insights come from blending data on demand and at the source. You can t predict tomorrow with yesterday s tools.
7 The Opportunity for Big Data is greatest when it can seamlessly connect to the rest of the data in your organization EXABYTES BIG DATA PETABYTES WEB TERABYTES CRM GIGABYTES TRANSACTIONS ERP INTERACTIONS INCREASING DATA VARIETY AND COMPLEXITY
8 Pentaho Enabling the Data Driven Business Modern, cohesive data integration and business analytics platform Full spectrum of advanced analytics for all key roles Embeddable, cloud-ready analytics Big data blending for analytics in real-time environments Broadest and deepest big data integration
9 Pentaho Enabling the Data Driven Business Innovation through open source Open, pluggable, purpose-built for the future Early sustained leadership in big data ecosystem with technology innovation Critical mass achieved Over 1,200 commercial customers Over 10,000 production deployments
10 Our Commitment A future proof data foundation Big (all) data blending without boundaries Powerful analytics for the next generation
11 Our Differentiation Modern Unified Data Integration and Business Analytics Platform 2014, Pentaho. All Rights Reserved. Pentaho.com Worldwide +1 (866)
12 Pentaho Brings Data Together Platform Supports Evolving Big Data Architectures Network Location Web Existing Process or Pentaho NoSQL Hadoop Cluster Data Integration Analytic DB Analytics Social Media On-Demand Integration & Blending Customer Provisioning Existing ETL Tool Or Pentaho Data Integration Billing EDW Existing ETL Tool or PDI Data Marts BI Tools
13 Data Integration
14 Pentaho Data Integration Data-agnostic solution for ETL, orchestration, blending, and more What is PDI? Graphical user interface to create drag-anddrop data transformation pipelines Data integration engine that is powerful, portable, and scalable Software that can be easily extended and embedded into other applications
15 Integrate ALL Data in an Intuitive Way A user-friendly graphical interface to build complete data 100+ Transformation Steps Drag & drop Development 100% GUI-based Configuration Model, Analyze, and Visualize as you go
16 Integrate ALL Data in an Intuitive Way Visual Big Data integration that speeds time to value and reduces risk Visual design for ETL & MapReduce jobs, eliminating complex Java coding MapReduce executed natively in cluster, 15x faster than hand-coding YARN enables elastic resource usage & Pentaho ETL clusters on-demand End-to-end no-code data integration & analytics solutions for MongoDB Supports Cassandra, Hbase, and more Easy integration to analytical DBs & more Adaptive Big Data Layer Reduces risk and expands choice by insulating your architecture from changing technology and vendors
17 SmartCity Copenhagen Hitachi Consulting (HCC) + Pentaho
18 The Idea Smart City Combine multiple information and communication technologies to manage and optimize a city s assets, namely water, energy consumption and emissions Pentaho Create an abstract common data layer and present it using custom, rich and interactive screens Develop a platform to inform the user and additional stakeholders about consumption and also the possibility of sharing the data and competing with friends
19 The Concept Three distinct user types for the application: Anonymous Citizen Primary Secondary Business and City Screen flow and information displayed are controlled via user type
20 The Project Hitachi created: Data model Stored Procedures Pentaho created: PDI transformations Dashboard screens Identity Server Dec 2015 Kickoff Jan 2016 Design approved Feb Dummy data March Real data May 2016 Go-live
21 Methodology Design Design Workshop (UX) Technical Workshop Setup Install servers (Pentaho, etc.) Install Databases Set up JIRA, Version Control Implementation ETL Dashboards Write queries Prepare QA UAT Run QA tests Allow access to a selected number of customers Evaluate performance Deploy Promote Prod environment Documentation Conduct Knowledge Transfer session for the Support teams Support Enable plan for L1, L2, L3 + L4 support Review what went well, not so well Any other business (AOB)
22 The Team Backend: 3 Pentaho staff 1-2 FTE UX team: 2 Pentaho staff 0.5 FTE Endpoints: 3 HCC staff 1.5 FTE Testing: 2 HCC staff 2 FTE Frontend: 2 Pentaho staff 1-2 FTE
23 Interesting notes and challenges PDI used both as a layer to obtain and persist data Smart parameterization of PDI transformations where the same transformation does slightly different tasks based on parameter inputs On the same transformation, fetch data from a database, access a REST endpoint, parse JSON output and validate data using JavaScript Security required interaction with an authentication endpoint (REST call) where a security token was obtained and needed to persist data Dashboard flow and linkage different per User type using the same set of dashboards.
24 Architecture Pentaho BA Server Electricity Company RDBMS API REST/ SQL Pentaho Data Integration AJAX CTools REST Pentaho Data Integration SQL Mondrian (OLAP) + DSP Analyzer
25 Solution description Two different solutions: 1. Standard analytical solution: CTools dashboards using PDI as a data source. PDI used SQL steps to retrieve data from Database 2. Transactional screens: CTools screens displaying analytical data and providing input screens to provide the settings screen for the application. PDI was used to retrieve and send information against a custom API exposed via stored procedures
26 Standard Analytical solution (case 1) CTools dashboards use a data abstraction layer (CDA) All data comes in JSON CDA makes the calls to the right service, usually: MDX queries against Mondrian, when ROLAP cubes and a schema are defined SQL directly against a RDBMS PDI (which connects via JDBC, REST or file access) We ll see a demo of a dashboard using a PDI source
27 Operational Analytics (case 2) All as before, taking into account that PDI can run transformations to do more than just retrieving data Dashboards have input screens which drive JS parameters: Parameters are collected and sent into PDI PDI can insert/update values into the operational system, instead of just retrieving information Settings can be read via a standard PDI query on dashboard load
28 Functional Data Model USER * ADDRESS * METER * READING * FRIENDS A User represents a real person registered in the system A User can friend other Users and compete with them A User can create several Addresses An Address can have several Meters A Meter has several Readings
29 ETL
30 Demo Dashboard with PDI source
31 Welcome screen
32 Account screen
33 Register screen
34 Pros/cons Smartcity Copenhagen Strengths PDI-based backend brought speed of development Inputs can be driven to operational DB Weaknesses By not using OLAP, all security needs to be explicit in all queries Pentaho BA server was not tested for operational purposes (not an ERP nor CRM tool) Opportunities Migrate the RDBMS internal schemas into OLAP schemas Work with Product Management to improve the BA server for massive user input Threats Development on top of PDI dummy data masks eventual data problems Hackers may control inputs to DB
35 Telematics use case Many-to-many challenges
36 About this Telematics Customer Telematics provides SaaS to assist customers manage fleets of vehicles. Devices are wired into the onboard computers of vehicles (OBD) and transmit GPS and sensor data over a mobile network. Benefits include (not all are applied now): Determine location and route of the vehicle View vehicle performance metrics including engine diagnostics Monitor driver behavior Route vehicles to save time and fuel Monitor unsafe conditions such as speeding, hard breaking and unauthorized use And this is all visible in near real time
37 Enterprise Vehicle Fleet Management Business Challenge Needed a scalable solution to extend driver behavior and location intelligence to customers Deliver multi-tenant embedded analytics including near real-time capabilities Pentaho Benefits Revenue-generating OEM deployment enabling fast response to safety and breakdown risks Accelerated development time and flexibility to ingest and blend emerging data sources
38 Enterprise Vehicle Fleet Management Vehicle Sensor Data Custom ETL Process Real-time Query Analytics Embedded in SaaS Application External Fleet Managers Driver & Customer Data Geo-location Data Business Analytics Internal Users
39 Interesting notes and challenges Three data streams: real-time (RT), Pseudo/quasi real-time, analytical Project started with analytical Backend was Oracle-based, with a strong hint that it will migrate to Hadoop in the near future Several fleets could be used, with several vehicles. A driver could drive many vehicles and vice-versa Dimension Fact Dimension Dimension Dimension Fact Dimension Dimension
40 The solution for many-to-many Several approaches were taken: Create separate cubes for Vehicles and Vehicle Groups Force a single selection for Vehicle Groups In situations where only vehicle utilization per day was needed, simple rules were created: If any driver touches this car today, then its utilization is 100% for that day While other OLAP tools (such as MS Analysis services) support manyto-many, none of them have the right performance for big cardinalities Many-to-many relationships are avoid in industry, for any tool
41 Monetize My Data Marine Asset Intelligence
42 Marine Asset Intelligence Business Challenge Create predictive forecasts about customer behavior to increase product value Efficiently govern and present data to end users to promote self-service analytics Pentaho Benefits Significant time and cost savings for endusers who could not develop dashboarding capabilities on their own Managed ETL improving security and job oversight to ensure data quality and integrity
43 Marine Asset Intelligence Fleet Data via Satellite Data Integration Data Integration Data Marts Data Scientist Local Machine & Server Data Business Users Analytics Server Cross Department Data End Users
44 Summary Pentaho provides many out-of-the-box features to perform ETL in a quick and reliable manner Data modelling on top of structured data will continue in the future, but it must play well with Big Data BI tools are migrating to a point where all sources of data are blended into one Data Lake, using Big Data technology Analytics are moving towards Predictive, Prescriptive and Preemptive modes
45 Questions and Discussion
46 Thank You
Product Roadmap. February Sebastien Cognet, Pre-Sales EMEA
Product Roadmap February 2013 Sebastien Cognet, Pre-Sales EMEA Pentaho Release Cadence Starting 2012, Pentaho will be migrating to a twice a year major release. We think this will allow both our customers
More informationEXAMPLE SOLUTIONS Hadoop in Azure HBase as a columnar NoSQL transactional database running on Azure Blobs Storm as a streaming service for near real time processing Hadoop 2.4 support for 100x query gains
More informationPentaho Technical Overview. Max Felber Solution Engineer September 22, 2016
Pentaho Technical Overview Max Felber Solution Engineer mfelber@pentaho.com September 22, 2016 Industry Leader in Self-Service Big Data Preparation Gartner recently completed a study on 36 selfservice
More informationThe Importance of good data management and Power BI
The Importance of good data management and Power BI The BI Iceberg Visualising Data is only the tip of the iceberg Data Preparation and provisioning is a complex process Streamlining this process is key
More informationBlueprints for Big Data Success
Blueprints for Big Data Success Succeeding with Four Common Scenarios Copyright 2014 Pentaho Corporation. Redistribution permitted. All trademarks are the property of their respective owners. For the latest
More informationBlueprints for Big Data Success. Succeeding with four common scenarios
Blueprints for Big Data Success Succeeding with four common scenarios Introduction By now it s become fairly clear that big data represents a big shift in the enterprise technology landscape. IDC estimates
More information5th Annual. Cloudera, Inc. All rights reserved.
5th Annual 1 The Essentials of Apache Hadoop The What, Why and How to Meet Agency Objectives Sarah Sproehnle, Vice President, Customer Success 2 Introduction 3 What is Apache Hadoop? Hadoop is a software
More informationWELCOME TO. Cloud Data Services: The Art of the Possible
WELCOME TO Cloud Data Services: The Art of the Possible Goals for Today Share the cloud-based data management and analytics technologies that are enabling rapid development of new mobile applications Discuss
More informationBusiness is being transformed by three trends
Business is being transformed by three trends Big Cloud Intelligence Stay ahead of the curve with Cortana Intelligence Suite Business apps People Custom apps Apps Sensors and devices Cortana Intelligence
More informationHortonworks Connected Data Platforms
Hortonworks Connected Data Platforms MASTER THE VALUE OF DATA EVERY BUSINESS IS A DATA BUSINESS EMBRACE AN OPEN APPROACH 2 Hortonworks Inc. 2011 2016. All Rights Reserved Data Drives the Connected Car
More informationMapR Pentaho Business Solutions
MapR Pentaho Business Solutions The Benefits of a Converged Platform to Big Data Integration Tom Scurlock Director, WW Alliances and Partners, MapR Key Takeaways 1. We focus on business values and business
More informationMicrosoft Azure Essentials
Microsoft Azure Essentials Azure Essentials Track Summary Data Analytics Explore the Data Analytics services in Azure to help you analyze both structured and unstructured data. Azure can help with large,
More informationSpotlight Sessions. Nik Rouda. Director of Product Marketing Cloudera, Inc. All rights reserved. 1
Spotlight Sessions Nik Rouda Director of Product Marketing Cloudera @nrouda Cloudera, Inc. All rights reserved. 1 Spotlight: Protecting Your Data Nik Rouda Product Marketing Cloudera, Inc. All rights reserved.
More informationArchitecting an Open Data Lake for the Enterprise
Architecting an Open Data Lake for the Enterprise 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Today s Presenters Daniel Geske, Solutions Architect, Amazon Web Services Armin
More informationYour Top 5 Reasons Why You Should Choose SAP Data Hub INTERNAL
Your Top 5 Reasons Why You Should Choose INTERNAL Top 5 reasons for choosing the solution 1 UNIVERSAL 2 INTELLIGENT 3 EFFICIENT 4 SCALABLE 5 COMPLIANT Universal view of the enterprise and Big Data: Get
More informationBuilding a Data Pipeline with Pentaho From Ingest to Analytics
Building a Data Pipeline with Pentaho From Ingest to Analytics Bruce Berry Senior Training and Development Specialist, Global Learning September 2018 Agenda Evolution of Business Intelligence Pentaho Tools
More informationLesson 3 Cloud Platform as a Service usages for accelerated Design and Deployment of IoTs
Lesson 3 Cloud Platform as a Service usages for accelerated Design and Deployment of IoTs 1 Large and Big Data platform Oracle IOT PaaS For delivering, integrating, securing and retrieving For analysing
More informationINTRODUCING BIRST INFOR S GO-FORWARD BUSINESS INTELLIGENCE SOLUTION
INTRODUCING BIRST INFOR S GO-FORWARD BUSINESS INTELLIGENCE SOLUTION BIRST BI & ANALYTICS Connecting organizations through analytics Nick Cicero Regional Sales Director Rob Krause Sr. Solution consultant
More informationPRODUCT UPDATES APJ PARTNER SUMMIT - BALI. February Software AG. All rights reserved. For internal use only
PRODUCT UPDATES APJ PARTNER SUMMIT - BALI February 2018 2018 Software AG. All rights reserved. For internal use only 2 2018 Software AG. All rights reserved. For internal use only DIGITAL BUSINESS WHAT?
More informationAZURE HDINSIGHT. Azure Machine Learning Track Marek Chmel
AZURE HDINSIGHT Azure Machine Learning Track Marek Chmel SESSION AGENDA Understanding different scenarios of Hadoop Building an end to end pipeline using HDInsight Using in-memory techniques to analyze
More informationORACLE DATA INTEGRATOR ENTERPRISE EDITION
ORACLE DATA INTEGRATOR ENTERPRISE EDITION Oracle Data Integrator Enterprise Edition delivers high-performance data movement and transformation among enterprise platforms with its open and integrated E-LT
More informationSOLUTION SHEET Hortonworks DataFlow (HDF ) End-to-end data flow management and streaming analytics platform
SOLUTION SHEET Hortonworks DataFlow (HDF ) End-to-end data flow management and streaming analytics platform CREATE STREAMING ANALYTICS APPLICATIONS IN MINUTES WITHOUT WRITING CODE The increasing growth
More informationPentaho 8.0 Overview. Pedro Alves
Pentaho 8.0 Overview Pedro Alves Safe Harbor Statement The forward-looking statements contained in this document represent an outline of our current intended product direction. It is provided for information
More informationMake Business Intelligence Work on Big Data
Make Business Intelligence Work on Big Data Speed. Scale. Simplicity. Put the Power of Big Data in the Hands of Business Users Connect your BI tools directly to your big data without compromising scale,
More informationCommon Customer Use Cases in FSI
Common Customer Use Cases in FSI 1 Marketing Optimization 2014 2014 MapR MapR Technologies Technologies 2 Fortune 100 Financial Services Company 104M CARD MEMBERS 3 Financial Services: Recommendation Engine
More informationHow In-Memory Computing can Maximize the Performance of Modern Payments
How In-Memory Computing can Maximize the Performance of Modern Payments 2018 The mobile payments market is expected to grow to over a trillion dollars by 2019 How can in-memory computing maximize the performance
More informationBig Data Platform Implementation
Big Data Platform Implementation Consolidate Automate Predict Innovation Intelligence Cloud Big Data Platform Implementation - Objective InnoTx helps organizations create an Analytics Ready Data environment.
More informationModernizing Your Data Warehouse with Azure
Modernizing Your Data Warehouse with Azure Big data. Small data. All data. Christian Coté S P O N S O R S The traditional BI Environment The traditional data warehouse data warehousing has reached the
More informationFlexso SAP Analytics Vision
Flexso SAP Analytics Vision Flexso Analytics Vision Operational Analytics: back home Hybrid Analytics: Extend with cloud Advanced Analytics: start the journey Flexso Analytics Vision Operational Analytics:
More informationPentaho 8.0 and Beyond. Matt Howard Pentaho Sr. Director of Product Management, Hitachi Vantara
Pentaho 8.0 and Beyond Matt Howard Pentaho Sr. Director of Product Management, Hitachi Vantara Safe Harbor Statement The forward-looking statements contained in this document represent an outline of our
More informationSIMPLIFYING BUSINESS ANALYTICS FOR COMPLEX DATA. Davidi Boyarski, Channel Manager
SIMPLIFYING BUSINESS ANALYTICS FOR COMPLEX DATA Davidi Boyarski, Channel Manager Sisense Overview 4000+ Top Quartile HQ in Awards 2016 & 2017 Wisdom of Crowds Report LEADER IN CUSTOMER EXPERIANCE Top 10
More informationSimplifying the Process of Uploading and Extracting Data from Apache Hadoop
Simplifying the Process of Uploading and Extracting Data from Apache Hadoop Rohit Bakhshi, Solution Architect, Hortonworks Jim Walker, Director Product Marketing, Talend Page 1 About Us Rohit Bakhshi Solution
More informationEnable and Monetize the Connected Vehicle
Enable and Monetize the Connected Vehicle One platform to manage the connected vehicle ecosystem. SOLUTION BRIEF The automotive revenue pool will grow and diversify with new services potentially becoming
More informationAzure Data Analytics & Machine Learning Seminar. Daire Cunningham: BI Practice Area Manager
Azure Data Analytics & Machine Learning Seminar Daire Cunningham: BI Practice Area Manager AGENDA 09:00 AM 09:30 AM Registration & Refreshments 09.30AM 10:00 AM 10:00 AM 10:30 AM Welcome & Keynote, Ger
More informationSOLUTION SHEET End to End Data Flow Management and Streaming Analytics Platform
SOLUTION SHEET End to End Data Flow Management and Streaming Analytics Platform CREATE STREAMING ANALYTICS APPLICATIONS IN MINUTES WITHOUT WRITING CODE The increasing growth of data, especially data-in-motion,
More informationGuide to Modernize Your Enterprise Data Warehouse How to Migrate to a Hadoop-based Big Data Lake
White Paper Guide to Modernize Your Enterprise Data Warehouse How to Migrate to a Hadoop-based Big Data Lake Motivation for Modernization It is now a well-documented realization among Fortune 500 companies
More informationDatabricks Cloud. A Primer
Databricks Cloud 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
More informationCopyright - Diyotta, Inc. - All Rights Reserved. Page 2
Page 2 Page 3 Page 4 Page 5 Humanizing Analytics Analytic Solutions that Provide Powerful Insights about Today s Healthcare Consumer to Manage Risk and Enable Engagement and Activation Industry Alignment
More informationIoT Analytics. Martin Keseg Enterprise Account Manager 26/10/2017
IoT Analytics Martin Keseg Enterprise Account Manager 26/10/2017 What is IoT Analytics? Raw Goods Equipment Temperature/Pressure Equipment Vibration Idle Time Inclement Weather Speed Equipment Utilization
More informationArchitected Blended Big Data With Pentaho. A Solution Brief
Architected Blended Big Data With Pentaho A Solution Brief Introduction The value of big data is well recognized, with implementations across every size and type of business today. However, the most powerful
More informationBuilding data-driven applications with SAP Data Hub and Amazon Web Services
Building data-driven applications with SAP Data Hub and Amazon Web Services Dr. Lars Dannecker, Steffen Geissinger September 18 th, 2018 Cross-department disconnect Cross-department disconnect Cross-department
More informationBringing the Power of SAS to Hadoop Title
WHITE PAPER Bringing the Power of SAS to Hadoop Title Combine SAS World-Class Analytics With Hadoop s Low-Cost, Distributed Data Storage to Uncover Hidden Opportunities ii Contents Introduction... 1 What
More information#mstrworld. A Deep Dive Into Self-Service Data Discovery In MicroStrategy. Vijay Anand Gianthomas Tewksbury Volpe. #mstrworld
A Deep Dive Into Self-Service Data Discovery In MicroStrategy Vijay Anand Gianthomas Tewksbury Volpe Introducing MicroStrategy Analytics Agenda Introduction to MicroStrategy Analytics Platform Product
More informationData Analytics. Nagesh Madhwal Client Solutions Director, Consulting, Southeast Asia, Dell EMC
Data Analytics Nagesh Madhwal Client Solutions Director, Consulting, Southeast Asia, Dell EMC Last 15 years IT-centric Traditional Analytics Traditional Applications Rigid Infrastructure Internet Next
More informationAccelerating Business Agility with Boomi
ipaas and API Management: Accelerating Business Agility with Boomi Paul Pasko Senior Sales Engineer, Dell Boomi The Need for ipaas Dell Boomi ipaas AGENDA Dell Boomi AtomSphere Dell Boomi API Management
More informationDatametica. The Modern Data Platform Enterprise Data Hub Implementations. Why is workload moving to Cloud
Datametica The Modern Data Platform Enterprise Data Hub Implementations Why is workload moving to Cloud 1 What we used do Enterprise Data Hub & Analytics What is Changing Why it is Changing Enterprise
More informationProcessing Big Data with Pentaho. Rakesh Saha Pentaho Senior Product Manager, Hitachi Vantara
Processing Big Data with Pentaho Rakesh Saha Pentaho Senior Product Manager, Hitachi Vantara Agenda Pentaho s Latest and Upcoming Features for Processing Big Data Batch or Real-time Process big data visually
More informationMeasure Consume. Store. Data Governance
Collect Process Manage Measure Consume Store Data Governance Big Data Sources (Raw, Unstructured) Azure Machine Learning Business Insights Sensors Devices Intelligent Systems Service Hadoop on Windows
More informationINFOSYS REALTIME STREAMS
INFOSYS REALTIME STREAMS Extract business value in real-time from data in motion Why real time insights? Enterprises are being bombarded with an overwhelming volume of data generated from sensors, machines,
More informationCopyright 2012 EMC Corporation. All rights reserved.
1 USING GREENPLUM S UNIFIED ANALYTICS PLATFORM TO DELIVER BI-AS-A- SERVICE 2 The Journey To Big Data 1 2 Data All Data Faster Answers Elastic & Scalable Science Collaboration Self-Service 3 Real Time Decisions
More informationImplementing Relational Use Cases with mongodb and Pentaho
Implementing Relational Use Cases with mongodb and Pentaho January 16, 2013 Dave Henry (dhenry@pentaho.com) Dave Diegtel (ddiegtel@pentaho.com) Agenda Pentaho / 10Gen Partnership Background Pentaho for
More informationRealising Value from Data
Realising Value from Data Togetherwith Open Source Drives Innovation & Adoption in Big Data BCS Open Source SIG London 1 May 2013 Timings 6:00-6:30pm. Register / Refreshments 6:30-8:00pm, Presentation
More informationDatametica DAMA. The Modern Data Platform Enterprise Data Hub Implementations. What is happening with Hadoop Why is workload moving to Cloud
DAMA Datametica The Modern Data Platform Enterprise Data Hub Implementations What is happening with Hadoop Why is workload moving to Cloud 1 The Modern Data Platform The Enterprise Data Hub What do we
More informationAngat Pinoy. Angat Negosyo. Angat Pilipinas.
Angat Pinoy. Angat Negosyo. Angat Pilipinas. Four megatrends will dominate the next decade Mobility Social Cloud Big data 91% of organizations expect to spend on mobile devices in 2012 In 2012, mobile
More informationCognitive Data Warehouse and Analytics
Cognitive Data Warehouse and Analytics Hemant R. Suri, Sr. Offering Manager, Hybrid Data Warehouses, IBM (twitter @hemantrsuri or feel free to reach out to me via LinkedIN!) Over 90% of the world s data
More informationTECHNOLOGY PLATFORM STRATEGY
TECHNOLOGY PLATFORM STRATEGY Dr. Wolfram Jost CTO and Member of the Executive Board UBS Technology One-on-One Conference 2018 March 7, 2018 SAFE-HARBOR-STATEMENT This presentation includes forward-looking
More informationCask Data Application Platform (CDAP) Extensions
Cask Data Application Platform (CDAP) Extensions CDAP Extensions provide additional capabilities and user interfaces to CDAP. They are use-case specific applications designed to solve common and critical
More informationReal-time Streaming Insight & Time Series Data Analytic For Smart Retail
Real-time Streaming Insight & Time Series Data Analytic For Smart Retail Sudip Majumder Senior Director Development Industry IoT & Big Data 10/5/2016 Economic Characteristics of Data Data is the New Oil..then
More informationThe Open IoT Stack: Architecture and Use Cases
The Open IoT Stack: Architecture and Use Cases James Kirkland Chief IoT Architect, Red Hat Marco Carrer CTO, Eurotech 1 TODAY S IoT CHALLENGES Lack of Open Standards Diverse set of technologies, features,
More informationManaging explosion of data. Cloudera, Inc. All rights reserved.
Managing explosion of data 1 Customer experience expectations are converging on the brand, not channel Consistent across all channels and lines of business Contextualized to present location and circumstances
More informationBig data is hard. Top 3 Challenges To Adopting Big Data
Big data is hard Top 3 Challenges To Adopting Big Data Traditionally, analytics have been over pre-defined structures Data characteristics: Sales Questions answered with BI and visualizations: Customer
More informationIndustrial Connected Product Solutions
Industrial Connected Product Solutions 1. 2. 3. 4. IoT is impacting businesses worldwide Driving digital transformation across enterprises and industry. Worldwide spending forecast for IoT in 2018. 1 Projected
More informationLet s distribute.. NOW: Modern Data Platform as Basis for Transformation and new Services
Let s distribute.. NOW: Modern Data Platform as Basis for Transformation and new Services Matthias Kupczak, Michael Probst; SAP June, 2017 Agenda 09:30-09:55 Coffee 09:55-10:00 Welcome Message T-Systems
More informationRedefine Big Data: EMC Data Lake in Action. Andrea Prosperi Systems Engineer
Redefine Big Data: EMC Data Lake in Action Andrea Prosperi Systems Engineer 1 Agenda Data Analytics Today Big data Hadoop & HDFS Different types of analytics Data lakes EMC Solutions for Data Lakes 2 The
More informationBuilding a Single Source of Truth across the Enterprise An Integrated Solution
SOLUTION BRIEF Building a Single Source of Truth across the Enterprise An Integrated Solution From EDW modernization to self-service BI on big data This solution brief showcases an integrated approach
More informationAnalytics in the Digital Economy data, experience, ideas & people. Juergen Hagedorn, Viktor Kehayov Product Management, SAP Analytics March 2017
Analytics in the Digital Economy data, experience, ideas & people Juergen Hagedorn, Viktor Kehayov Product Management, SAP Analytics March 2017 Our Portfolio Business Intelligence Data Warehousing End-to-end
More informationArchitecture Optimization for the new Data Warehouse. Cloudera, Inc. All rights reserved.
Architecture Optimization for the new Data Warehouse Guido Oswald - @GuidoOswald 1 Use Cases This image cannot currently be displayed. This image cannot currently be displayed. This image cannot currently
More informationDLT AnalyticsStack. Powering big data, analytics and data science strategies for government agencies
DLT Stack Powering big data, analytics and data science strategies for government agencies Now, government agencies can have a scalable reference model for success with Big Data, Advanced and Data Science
More informationDecisyon App Composer (DAC) Technology Overview
Decisyon App Composer (DAC) Technology Overview Decisyon App Composer is an agnostic Industrial IoT (IIOT) Visual Rapid Development Platform with rich native microservices. Along with services from different
More informationTwo offerings which interoperate really well
Microsoft Two offerings which interoperate really well On-premises Cortana Intelligence Suite SQL Server 2016 Cloud IAAS Enterprise PAAS Cloud Storage Service 9 SQL Server 2016: Everything built-in built-in
More informationENABLING GLOBAL HADOOP WITH DELL EMC S ELASTIC CLOUD STORAGE (ECS)
ENABLING GLOBAL HADOOP WITH DELL EMC S ELASTIC CLOUD STORAGE (ECS) Hadoop Storage-as-a-Service ABSTRACT This White Paper illustrates how Dell EMC Elastic Cloud Storage (ECS ) can be used to streamline
More informationTeradata IntelliSphere
Teradata IntelliSphere Name, Title of Presenter 1 2 Agenda More analytic tools & techniques The Reality Wide range of deployment choices Proliferation of departmentalized analytics Dynamically changing
More informationdeister software Company Overview
deister software Corporate Philosophy We are committed to be a partner-of-choice in providing customized high-end cloud based ERP and «smart» mobile software solutions for the industry. Following its corporate
More informationWhen Big Data Meets Fast Data
15 November 2016 When Big Data Meets Fast Data - London 2016 Ted Orme VP Technology EMEA When Big Data Meets Fast Data The Evolution of Hadoop Enterprise ready From batch to real-time Now add Cloud It
More informationQlik Sense Enterprise
Data Sheet Qlik Sense Enterprise See the whole story that lives within your data Qlik Sense is a next-generation application for self-service oriented visual analytics, offering unique and powerful data
More informationEnterprise Architecture for Digital Business
Enterprise Architecture for Digital Business Dave Chappelle Enterprise Architect Global EA Program October 26, 2015. Safe Harbor Statement The following is intended to outline our general product direction.
More informationIoT ENABLED INTELLIGENT FLEET MANAGEMENT. Kalman Tiboldi Chief Business Innovation Officer
IoT ENABLED INTELLIGENT FLEET MANAGEMENT Kalman Tiboldi Chief Business Innovation Officer TVH GROUP > 5600 colleagues worldwide Consolidated turnover 1,3 billion SMART LOGISTICS PART OF INDUSTRY 4.0 Smart
More informationSimplifying Your Modern Data Architecture Footprint
MIKE COCHRANE VP Analytics & Information Management Simplifying Your Modern Data Architecture Footprint Or Ways to Accelerate Your Success While Maintaining Your Sanity June 2017 mycervello.com Businesses
More informationFast Start Business Analytics with Power BI
Fast Start Business Analytics with Power BI Accelerate Through classroom, challenging, training and a quick proof of concept, learn about Power BI and how it can help speed up your decision making and
More informationBIG DATA & ADVANCED ANALYTICS ROADSHOW
BIG DATA & ADVANCED ANALYTICS ROADSHOW 2 Copyright 2014, Neudesic. All rights reserved. CO-SPONSORS UPCOMING ROADSHOW STOPS Los Angeles: Wednesday, February 10 th Orange County: Thursday, February 11 th
More information<Insert Picture Here> Location Intelligence: Delivering Actionable Analysis for Decision Making
Location Intelligence: Delivering Actionable Analysis for Decision Making Xavier Lopez, Director, Product Management Agenda Some definitions Integrating Business Intelligence within
More informationADVANCED ANALYTICS & IOT ARCHITECTURES
ADVANCED ANALYTICS & IOT ARCHITECTURES Presented by: Orion Gebremedhin Director of Technology, Data & Analytics Marc Lobree National Architect, Advanced Analytics EDW THE RIGHT TOOL FOR THE RIGHT WORKLOAD
More informationAnalytics in Action transforming the way we use and consume information
Analytics in Action transforming the way we use and consume information Big Data Ecosystem The Data Traditional Data BIG DATA Repositories MPP Appliances Internet Hadoop Data Streaming Big Data Ecosystem
More informationFINACLE SERVICES: API MANAGEMENT USING CA API GATEWAY
FINACLE SERVICES: API MANAGEMENT USING CA API GATEWAY Executive Summary Banks embarking on a digital transformation in today s connected world need to thrive, compete and evolve. To accelerate this transformation,
More informationAnalytics for All Data
Analytics for All Data How Oracle Analytics Helps Agencies Improve Their Effectiveness FORCES 2017 Jim Penn Sr Manager, Public Sector Oracle Analytics & Big Data Agenda Oracle s Analytics Platform Overview
More informationQlik Sense. Data Sheet. Transform Your Organization with Analytics
Data Sheet Qlik Sense Transform Your Organization with Analytics Qlik Sense is Qlik s next-generation platform for modern, self-service oriented analytics. It supports the full range of analytics use cases
More informationSAP Cloud Platform Big Data Services EXTERNAL. SAP Cloud Platform Big Data Services From Data to Insight
EXTERNAL FULL-SERVICE BIG DATA IN THE CLOUD, a fully managed Apache Hadoop and Apache Spark cloud offering, form the cornerstone of many successful Big Data implementations. Enterprises harness the performance
More informationDigital transformation is the next industrial revolution
Digital transformation is the next industrial revolution Steam, water, mechanical production equipment Division of labor, electricity, mass production Electronics, IT, automated production Blurring the
More informationCopyright 2013, Oracle and/or its affiliates. All rights reserved.
1 Oracle Fusion Middleware Next-Generation Application Platform Web Social Mobile Business Process Management Service Integration User Engagement Content Management Identity Management Business Intelligence
More informationIntroducing Infor Xi/Ming.le for M3
Introducing Infor Xi/Ming.le for M3 Merit Consulting AS Sandnes/Norway karsten.hesselager@infor.com 1 2 Agenda Introducing Infor Xi Tech Stack Why have Infor developed Xi? What is included in Xi Demo of
More informationGot Data Silos? Automate Data Ingestion Into Isilon In Support Of Analytics
Got Data Silos? Automate Data Ingestion Into Isilon In Support Of Analytics Key takeaways Analytic Insights Module for self-service analytics Automate data ingestion into Isilon Data Lake Three methods
More informationSUSiEtec The Application Ready IoT Framework. Create your path to digitalization while predictively addressing your business needs
SUSiEtec The Application Ready IoT Framework Create your path to digitalization while predictively addressing your business needs Industry 4.0 trends and vision Transform every aspect of the manufacturing
More informationCONNECTED TRAFFIC CLOUD. A New Approach to Intelligent Traffic Management
CONNECTED TRAFFIC CLOUD A New Approach to Intelligent Traffic Management CHANGING THE GAME OF TRAFFIC INFRASTRUCTURE Transport plays a vital role in society and its role will be even more important tomorrow.
More informationConfidential
June 2017 1. Is your EDW becoming too expensive to maintain because of hardware upgrades and increasing data volumes? 2. Is your EDW becoming a monolith, which is too slow to adapt to business s analytical
More informationEXPERIENCE EVERYTHING
EXPERIENCE EVERYTHING RAPID. OPEN. SECURE. Jigar Bhansali VP Solution & Architecture, Asia & China INNOVATION TOUR 2018 April 26 Singapore 2018 Software AG. All rights reserved. For internal use only HYBRID
More informationTECHED USER CONFERENCE MAY 3-4, 2016
TECHED USER CONFERENCE MAY 3-4, 2016 Guido Falkenberg Software AG From Application Modernization to Digital Enterprise Transformation THE VALUE OF CORE APPLICATIONS IMPORTANCE AND CRITICALITY Tailored
More informationEXECUTIVE BRIEF. Successful Data Warehouse Approaches to Meet Today s Analytics Demands. In this Paper
Sponsored by Successful Data Warehouse Approaches to Meet Today s Analytics Demands EXECUTIVE BRIEF In this Paper Organizations are adopting increasingly sophisticated analytics methods Analytics usage
More informationAdvancing Together. Dell IoT Solutions Partner Program Guide for Technology and Services Providers. Learn More
Advancing Together Dell IoT Solutions Partner Program Guide for Technology and Services Providers Learn More Table of Contents Program Overview................ 3 Details for Technology Providers.... 9
More informationC3 Products + Services Overview
C3 Products + Services Overview AI CLOUD PREDICTIVE ANALYTICS IoT Table of Contents C3 is a Computer Software Company 1 C3 PaaS Products 3 C3 SaaS Products 5 C3 Product Trials 6 C3 Center of Excellence
More informationTechArch Day Digital Decoupling. Oscar Renalias. Accenture
TechArch Day 2018 Digital Decoupling Oscar Renalias Accenture !"##$ oscar.renalias@acenture.com @oscarrenalias https://www.linkedin.com/in/oscarrenalias/ https://github.com/accenture THE ERA OF THE BIG
More information