Ein Unternehmen der Daimler AG

Lecture @DHBW: Data Warehouse

00 Course intro

Andreas Buckenhofer

Daimler TSS GmbH

Wilhelm-Runge-Straße 11, 89081 Ulm / Telefon +49 731 505-06 / Fax +49 731 505-65 99

tss@daimler.com / Internet: www.daimler-tss.com

Sitz und Registergericht: Ulm / HRB-Nr.: 3844 / Geschäftsführung: Martin Haselbach (Vorsitzender), Steffen Bäuerle

© Daimler TSS I Template Revision

Andreas BuckenhoferSenior DB Professional

Since 2009 at Daimler TSS

Department: Machine Learning Solutions

Business Unit: AnalyticsDHBWDOAG

xing

Contact/Connect

vcard

• Oracle ACE Associate

• DOAG responsible for InMemory DB

• Lecturer at DHBW

• Certified Data Vault Practitioner 2.0

• Certified Oracle Professional

• Certified IBM Big Data Architect

• Over 20 years experience with

database technologies

• Over 20 years experience with Data

Warehousing

• International project experience

We make Daimler themost innovative mobility provider.We don‘t build cars, but we design innovative, holistic IT solutions forDaimler.

Daimler TSS 4

Sales & CareEnabling brilliant customer journeys

through customer interaction and

measurable customer proximity

Strategic InitiativesDeveloping new topics and ideas as well as

emerging technologies for Daimler

Cyber SecurityCreating customized, holistic

solutions for IT security

MobilityStaying agile with new

mobility concepts

Digital ProductionCreating optimum production processes

with continuous data analysis

Digital VehicleDesigning reliable software

development for a sophisticated

autonomous driving experience

Integrated, innovative and always close to the issue.

Daimler TSS

Methodological expertise and solutions coupled with technological excellence and a maximum degree of security are our specialties.

Acutely aware of this special position of trust, we bear responsibility through market-leading IT solutions for the success and future of a globally active group.

Driven by innovative ideas, we always venture across borders to find the best solutions and generate impressive results.

Daimler TSS 6

Our Locations & Project Hubs

D Ulm (Headquarters), Stuttgart, Berlin, Karlsruhe

KL Project hub Kuala Lumpur

CH Project hub China

*As of January 2019

4 locations / 1203 employees*:

We attach great importance to both human and digital networking.Passion for IT and a still very intimate start-up culture unite us in these endeavors, ensuring a sense of community and creative freedom in everyday working life.

Daimler TSS Data Warehouse / DHBW 8

Who are you?

Knowledge or experience:

- Databases

- SQL

- DWH

- Big Data

Your expectations?

About you

Daimler TSS Data Warehouse / DHBW 9

DWH Lecture – topics with learning targets

• Understand the importance of a data-driven culture

• Know tools relevant for DWH and Big Data

• Name DB technologies and techniques that are well-suited for DWHs

• Describe different DWH and Big Data architectures in detail

• Explain DWH data modeling (physical models)

• Explain Data integration/engineering (ETL) processes

• Understand Streaming technologies

• Specify visualization & metadata & security & PM requirements

• Name current DWH and Big Data trends

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Daimler TSS

Data

Source

Data

Usage

Data Infrastructure

Data Management

Data Processing

Data Flow

Data Security

Data Governance

Data Culture

LogsOLTP

File Formats

Social Media

Images

Do

cum

en

ts

Machines

Star Schema

ODSData Vault

3NF

(SQL) Engines

Appliance

Virtualization

Reporting

Dashboarding

Search

Data Mining

Exploration

Simulation

Info

rmati

on

Desi

gn

ETL Batch

Str

eam

ing

CleansingProfiling

Map Reduce

ELT

RAM

SSD

Harddisk

Video

Sensors

Geospatial

Staging

Data Mart

Data Lake

Monitoring Scheduling Logging

Ethics Law GDPR

Data Catalog Metadata Domain Model

#dataops agile Project Management

Execution

Integration

Error Handling

Authentication Authorization Anonymization

Clic

kst

ream

Archive

On premises

In-MemoryMPP

RDBMS NoSQL Hadoop

MDM

Cube Core Warehouse Layer

KappaLambda

Real time

Micro Batch

Graph Models

Automation

Collection

Self Service

Planning

An

aly

tics

Audio

Glossary Data Quality

Cloud

Legacy

Text

Mobile

Data Hub

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Many employment opportunities

DWH department in every (bigger) end user company, also in many medium-sized or small-sized companies

DWH department in every (bigger) consulting company

DWH-only specialized consulting companies

DWH tool vendors

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Many employment opportunities – challenging JOB requirements

DWHs are complex, much more complex compared to most OLTP systems

Challenging job profiles with comprehensive requirements

• Data Architecture

• Data Integration / ETL

• Data Modeling (not only 3NF)

• Data Visualization

• Data Quality

• Data Security

• Requirements Engineering

• Project Management

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Job description examples

Daimler TSS Data Warehouse / DHBW 14

Job description examples

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About the lecture

• 36 semester periods per week (Semesterwochenstunden)

• Structure of the lecture

• Review of the preceding lecture

• Presentation of content with (group) tasks

• Group exercise

• Exam

• 1h

• Questions in German

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Course material

• Download slides from

http://wwwlehre.dhbw-stuttgart.de/~buckenhofer/

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Course contact

• Who is the class representative?

• Do you have a class email address?

• Please send me an email so that I have your contact data

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Literature

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Literature

http://btw2017.informatik.uni-stuttgart.de/slidesandpapers/Tutorial/SDM_slides.pdf

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Finally

Questions?

Any time

Feedback

After lecture or by

email

Daimler TSS GmbH

Wilhelm-Runge-Straße 11, 89081 Ulm / Telefon +49 731 505-06 / Fax +49 731 505-65 99

tss@daimler.com / Internet: www.daimler-tss.com

Sitz und Registergericht: Ulm / HRB-Nr.: 3844 / Geschäftsführung: Martin Haselbach (Vorsitzender), Steffen Bäuerle

© Daimler TSS I Template Revision