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Buyuk veri teknolojileri

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Buyuk veri teknolojileri

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Buyuk veri teknolojileri

  1. 1. PUBLİC 17 Nisan 2019, Çarşamba JW Marriott Hotel, Ankara Ankara Dijital Dönüşüm Zirvesi SAP & Capital
  2. 2. Uygur Köse, Veri Analisti & Danışman 17 Nisan 2019 Dijital Dönüşüm Zirvesi ‘19 Büyük Veri Teknolojileri
  3. 3. 3PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Büyük Veri Ne Demek? § Biraz farklı bakalım… Neden Büyük Veri? § Bir gün ihtiyacın olur Büyük Veri Teknolojileri § Bilim ve Teknik SAP & Big Data & Data Hub § SAP Büyük Veriyi kucaklıyor Senaryolar § 3V’ye bir göz atalım Ajanda
  4. 4. Büyük Veri Ne Demek?
  5. 5. 5PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Büyük Veri Ne Demek? 40,000 BCE Cave drawings and tally(bone) sticks. These are used to track trading activity and record inventory 2400 BCE The abacus is developed, and the first libraries are built in Babylonia 300 BCE – 48 AD The Library of Alexandria is the world’s largest data storage center 100 AD – 200 AD The Antikythera Mechanism – the first mechanical computer – is developed in Greece 1928 Fritz Pfleumer creates a method of storing data magnetically, which forms basis of modern digital data storage technology. 1970 Relational Database model developed by IBM mathematician Edgar F Codd. The Hierarchal file system allows records to be accessed using a simple index system. This means anyone can use databases, not just computer scientists. 1991 The birth of the internet. Anyone can now go online and upload their own data, or analyze data uploaded by other people. 2005 Hadoop – an open source Big Data framework now developed by Apache – is developed. The birth of “Web 2.0 – the user-generated web”. 2008 Globally 9.57 zettabytes (9.57 trillion gigabytes) of information is processed by the world’s CPUs. An estimated 14.7 exabytes of new information is produced this year. 2010 Eric Schmidt, executive chairman of Google, tells a conference that as much data is now being created every two days, as was created from the beginning of human civilization to the year 2003. 2016 1.3B people on business and social networks today. 1 Yottabyte has been reached and it’s predicted that by 2020 we’ll reach 6 Yottabytes (6,000 exabytes).
  6. 6. Neden Büyük Veri?
  7. 7. 7PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Neden Büyük Veri?
  8. 8. 8PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Neden Büyük Veri? Sense & Respond Predict & Act Raw Data Cleaned Data Standard Reports Ad Hoc Reports & OLAP Generic Predictive Analytics Predictive Modeling Optimization What happened? Why did it happen? What will happen? What is the best that could happen? CompetitiveAdvantage Analytics Maturity
  9. 9. Büyük Veri Teknolojileri?
  10. 10. 10PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Büyük Veri Teknolojileri?
  11. 11. 11PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Büyük Veri Teknolojileri? 85% of big data projects fail, because; 1. Complex big data ecosystem, 2. Unanticipated problems beyond big data technology where people and systems don’t cooperate 3. Lacking the right skills within the methods and technology
  12. 12. SAP & Big Data & Data Hub
  13. 13. 13PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Süreç Analizi
  14. 14. 14PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Büyük Veri İşleme Süreçleri
  15. 15. 15PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Big Data Architecture
  16. 16. 16PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP HANA
  17. 17. 17PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Data Hub
  18. 18. 18PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Data Hub
  19. 19. 19PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Data Hub Connected Systems Metadata & Applications Application Services Connectivity Profiling & & Discovery Scheduling Metadata Catalog Distributed Runtime SAP VORA Engines Relational Time-Series Graph Document Pipelines & Workflows Flow-based Applications Custom Operators Built-in Connectors Scripting (JS, Python) Templates SAP Data Hub System Management (based on SAP HANA) Multi-Tenancy User & Access Management Content Lifecycle Management Cluster Management Diagnostics API Access Access Governance Data Workflows Pipeline Development Self-service Data Preparation Metadata Management SAP S/4HANA SAP BW/4HANA SAP Data Services SAP LT Replication Server SAP HANA Databases Open connectivity for 3rd party & open source SAP Cloud Applications (API-driven) Data Storages Cloud / On-Premise SAP Data Hub Adapter VORA Spark Extensions Cloud Stores AWS S3, GCP GCS, Azure ADL & WASB Hadoop HDFS (optional)
  20. 20. 20PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Data Hub
  21. 21. 21PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Data Hub
  22. 22. 22PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Data Hub
  23. 23. Örnek Senaryolar
  24. 24. 24PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Velocity 2017 SAP Nesnelerin İnterneti Ödülü
  25. 25. 25PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Volume 1 Ölçülen input parametreleri sisteme girilirek 2 İstenilen değere ulaşılırken, minimum girdi değeri hesaplanır
  26. 26. 26PUBLİC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Variety
  27. 27. Teşekkürler. Uygur Köse Veri Analisti & Danışman twitter.com/mdsaptech www.slideshare.net/MDSapTech www.linkedin.com/company/mdsap/ İstanbul - Türkiye Nurol Plaza Büyükdere Caddesi No: 257 Kat 12 Maslak, Istanbul - 34398 Tel: +90 212 3512730 Ankara - Türkiye Bilkent Plaza A3 Blok Kat:5 No:48 06810 Bilkent, Ankara Tel: +90 312 2663300

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