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Is Data Warehouse Dying?


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Because of the misunderstanding of Big Data concept, fast output needs, budgeting issues and management failures, companies are now redirected from building up data warehouses to Operational Data Store based analytical reporting. In this session, hear the basic concepts and advantages of implementing a data warehouse system as well as methods to restructure methods and algorithms to current data warehouses and how to implement Data Warehouses in the era of Cloud.

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Is Data Warehouse Dying?

  1. 1. Gürcan ORHAN Enterprise Data Warehouse Architect @gurcan_orhan
  2. 2. 30 May 17 #OTNEMEATour What is the relation between B. B. King, Chevy and DWH?
  3. 3. 30 May 17 #OTNEMEATour WHO’S THAT GUY TALKING ? +20 years of IT experience. +14 years of DWH experience. +10 years of Oracle Data Integrator experience. +8 years of Oracle Warehouse Builder experience. Sybase Power Designer, ERwin Data Modeler, SDDM OBIEE, Cognos, Microstrategy, Business Objects, Qlikview, Tableau IBM Data Stage, SAP Data Services, Informatica, etc… Oracle Excellence Awards - Technologist of the Year 2011 : Enterprise Architect DWH & BI Chair : TROUG (Turkish Oracle User Group) Published Customer Snapshot for NODI Published videos about ODI Published OTN Podcasts about “Data Warehousing and ODI” “ODI and the Evolution of Data Integration” Lots of “2MTT”s Articles in OTech Magazine, Annual panelist for ODTUG “Ask the Experts Panel : ODI” Presenter in OOW since 2010 (7 times in a row ⭐ ) Presenter in many OUG conferences in globe Presenter in various universities in Turkey
  4. 4. Ekol Germany Warehousing Solutions begin with the Kardelen Facility 1996 2003 2010 2012 2014 2016 201520132011200820021990 Acquire STS Int. Transport Ekol Bosnia Ekol France Ekol Greece Ekol Ukraine Ekol Spain Ekol Bulgaria Ekol Czech Rep. Ekol Iran Ekol PolandEkol Italy Ekol Romania Ekol HungaryAcquire Unok/Unatsan Rainbow Replaced by Quadro (software) Intermodal operations Ro-Ro operations Established Ekol Milestones
  5. 5. USA Ekol Locations Currentcountries 15 80 locations 2017 23 countries 92 locations 2018 31 countries 104 locations 2019 42 countries 122 locations CN
  6. 6. Overview
  7. 7. 30 May 17 #OTNEMEATour History of Data Warehouse starts with; • EIS (Enterprise Information Systems) • DSS (Decision Support Systems) • Data Warehousing and Business Intelligence (DWH / BI) ... and the story continues with DWH 2.0 and Cloud! A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process. (Bill Inmon - 1990) Business Intelligence is processing of converting data into knowledge. (Gartner Group) DATA INFORMATION KNOWLEDGE DECISION HISTORY OF DWH subject-oriented integrated time-variant non-volatile
  9. 9. 30 May 17 #OTNEMEATour BI MATURITY MODEL
  10. 10. 30 May 17 #OTNEMEATour DWH LEVELS
  11. 11. 30 May 17 #OTNEMEATour Relatively a little bit longer... IMPLEMENTATION TIMELINE
  12. 12. 30 May 17 #OTNEMEATour ... but ... ALTERNATIVE REQUIREMENT
  13. 13. 30 May 17 #OTNEMEATour COMPONENTS OF A DWH I told you, I will cover every one of you… 🤗
  14. 14. 30 May 17 #OTNEMEATour ORACLE CLOUD OFFERINGS APPLICATIONS Human Capital Management Supply Chain Management Enterprise Performance Mgmt Global Human Resources Inventory Management Enterprise Planning Talent Management Logistics Planning and Budgeting Workforce Rewards Manufacturing Enterprise Performance Reporting Workforce Management Order Management Account Reconciliation Work Life Solutions Procurement Financial Consolidation and Close HCM Cloud for Midsize Product Lifecycle Management Profitability and Cost Management Enterprise Resource Planning Product Master Data Management Tax Reporting Financials Supply Chain Planning Customer Experience Revenue Management Industry Solutions Marketing Accounting Hub Reporting Communications Sales Project Financial Management Financial Services Service Project Management Consumer Goods Configure, Price, and Quote (CPQ) Procurement High Tech and Manufacturing Commerce Risk Management Higher Education Loyalty ERP Cloud for Midsize Hospitality Engagement (Sales and Service) Internet of Things Apps Utilities Customer Data Management IoT Asset Monitoring Data Sales Performance Management IoT Production Monitoring Data as a Service (DaaS) CX Cloud for Midsize IoT Fleet Monitoring ID Graph SaaS Analytics IoT Connected Worker Data Cloud Verticals HCM Analytics Deployment Options Social CRM Analytics for Financial Services Social Network ERP Analytics for Retail Services Social Marketing SCM Analytics for Public Sector Social Engagement and Monitoring Adaptive Intelligent Apps for Department of Defense PLATFORM Data Management Integration Database Backup Data Integrator Database Integration MySQL SOA NoSQL Database GoldenGate Big Data Internet of Things Big Data - Compute Edition API Platform Event Hub Process Application Development Management Java Application Performance Monitoring Mobile Infrastructure Monitoring Messaging Log Analytics Application Container Cloud (Java SE & Node) Orchestration Developer IT Analytics Application Builder Business Analytics API Catalog Analytics Cloud Content and Experience Business Intelligence Content and Experience Big Data Discovery WebCenter Portal Cloud Big Data Preparation DIVA Cloud Data Visualization Security Essbase CASB Identity Security Monitoring and Analytics Configuration and Compliance INFRASTRUCTURE Infrastructure Compute Storage Network Container Ravello Cloud Machine Bare Metal Cloud Services Architecture Compute Service Networking Service Storage Services Governance Services Database Cloud Service Load Balancing Service Everything you need to set up a DWH is already in the Cloud… * as of 12.05.2017
  15. 15. 30 May 17 #OTNEMEATour ALTERNATIVES (ODM APPROACH) Did I say “bullshit”. OMG !!!
  16. 16. 30 May 17 #OTNEMEATour Datamart is; • Subject oriented • Integrated with related data • Usually fed by a single source system (what about history !!!) PROPERTY DATA WAREHOUSE DATAMART Content Enterprise Department Based Subject Many Single and Business Unit oriented Data Source Multiple Single Implementation Month – Year Month Can be dependent or independent. • Dependent DM : Fed from DWH, easy ETL, part of enterprise plan • Independent DM : Discrete, high operational cost, fed from external sources, prepared especially for analytical requirements WHAT IS A DATAMART?
  17. 17. 30 May 17 #OTNEMEATour PROPERTY OPERATIONAL SYSTEM DATA WAREHOUSE DATA MART Response Time Milliseconds / Seconds Seconds / Minutes Seconds / Minutes Operation DML (Data Manipulation Language) Prioritizing Read Only Read Only Data Nature 30 – 60 days Temporal Snapshot Temporal Snapshot Data Organization Application Subjective, Temporal Subjective, Temporal Data Volume Small / Medium Big / Very Big Medium / Big Data Source Operational, Internal Operational, Internal, External Operational, Internal, External Activities Process Based Analysis Based Analysis Based DWH & DM & OLTP
  18. 18. 30 May 17 #OTNEMEATour PROJECT MANAGEMENT METHODOLOGY Anybody having a gun? 🔫 Shout now.
  19. 19. 30 May 17 #OTNEMEATour BIG DATA “V”s are good.
  21. 21. 30 May 17 #OTNEMEATour BIG DATA IS NOT…
  22. 22. 30 May 17 #OTNEMEATour BUT IS… This is my take for Big Data…
  23. 23. 30 May 17 #OTNEMEATour BIG DATA DATAMART Who’s saying that ETL is retiring?
  24. 24. 30 May 17 #OTNEMEATour WHAT’S NEW IN DWH SIDE? How come I can remember this, mission accomplished. 😎
  25. 25. 30 May 17 #OTNEMEATour DATA VAULT ON DWH Next slide will be awesome.! #KillingMachine
  26. 26. 30 May 17 #OTNEMEATour DWH 2.0
  27. 27. 30 May 17 #OTNEMEATour long live Data Warehouse... EVENTUALLY…
  28. 28. 30 May 17 #OTNEMEATour @gurcan_orhan