Kapitel 3

Herausforderungen

Weshalb die meisten Big-Data-Projekte scheitern https://www.datacenter-insider.de/weshalb-die-meisten-big-data-projekte-scheitern-a-417085/
Woran Big-Data-Analysen wirklich scheitern https://www.bigdata-insider.de/woran-big-data-analysen-wirklich-scheitern-a-677594/
Berater scheitern an Data Analytics https://www.cio.de/a/berater-scheitern-an-data-analytics,3580190
BARC-Studie: Data-Preparation-Initiativen scheitern oft an Fachkräftemangel und fehlender Management-Unterstützung https://barc.de/news/barc-studie-data-preparation-initiativen-scheitern-oft-an-fachkraftemangel-und-fehlender-management-unterstutzung
Why Silicon Valley's 'Fail Fast' Mantra Is Just Hype https://www.forbes.com/sites/robasghar/2014/07/14/why-silicon-valleys-fail-fast-mantra-is-just-hype/#170c1a6d24bc

 

CRISP-DM

KDD, SEMMA and CRISP-DM: A parallel overview http://recipp.ipp.pt/bitstream/10400.22/136/3/KDD-CRISP-SEMMA.pdf
CRISP-DM 1.0 - Step-by-step data mining guide https://www.the-modeling-agency.com/crisp-dm.pdf
The CRISP-DM User Guide https://s2.smu.edu/~mhd/8331f03/crisp.pdf
Why Continuous Learning is the key towards Machine Intelligence https://medium.com/@vlomonaco/why-continuous-learning-is-the-key-towards-machine-intelligence-1851cb57c308

 

SCRUM, KANBAN, Machine Learning Canvas

Scrum-Einführung http://scrum-master.de/Scrum-Einfuehrung
Scrum - Ein kurzer Blick auf die Verwendung des Scrum-Frameworks in der Softwareentwicklung https://de.atlassian.com/agile/scrum
Sind wir schon da? – Die Definition of Done (DOD) https://www.scrum.de/sind-wir-schon-da-die-definition-of-done-dod/
KANBAN Board Simulation http://www.kanbansim.org/

 

Cloud 

Data Lakes and Analytics on AWS https://aws.amazon.com/de/products/analytics/
Azure Analysis Services https://azure.microsoft.com/en-us/services/analysis-services/
Azure Big data and analytics https://azure.microsoft.com/en-us/solutions/big-data/
IBM Analytics Services https://www.ibm.com/cloud/analytics
IBM Analytics Engine https://www.ibm.com/cloud/analytics-engine
Data and analytics services on IBM cloud https://www.ibm.com/cloud/data
IBM Watson Studio https://datascience.ibm.com/
Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI https://www.kdnuggets.com/2018/01/mlaas-amazon-microsoft-azure-google-cloud-ai.html
Simple Monthly Calculator http://calculator.s3.amazonaws.com/index.html

 

Weitere Informationen

Was ist Business Intelligence – BI? https://www.bigdata-insider.de/was-ist-business-intelligence-bi-a-563185/
Data Science Plattform Kaggle https://www.kaggle.com/