LECTURE @DHBW: DATA WAREHOUSE 00 COURSE INTRO › ~buckenhofer › 20191DWH › ...Increase sales and value creation through attractive digital offers. CUSTOMER JOURNEY 360° Create

A company of Daimler AG

LECTURE @DHBW: DATA WAREHOUSE

00 COURSE INTROANDREAS BUCKENHOFER, DAIMLER TSS

ABOUT ME

Andreas BuckenhoferSenior DB Professional

Since 2009 at Daimler TSS

Department: Machine Learning Solutions

Business Unit: Analytics

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

mailto:[email protected]:[email protected]://twitter.com/ABuckenhoferhttps://twitter.com/ABuckenhoferhttps://de.linkedin.com/in/buckenhoferhttps://de.linkedin.com/in/buckenhoferhttp://wwwlehre.dhbw-stuttgart.de/~buckenhofer/http://wwwlehre.dhbw-stuttgart.de/~buckenhofer/http://wwwlehre.dhbw-stuttgart.de/~buckenhofer/http://wwwlehre.dhbw-stuttgart.de/~buckenhofer/http://wwwlehre.dhbw-stuttgart.de/~buckenhofer/https://www.doag.org/de/themen/datenbank/in-memory/http://wwwlehre.dhbw-stuttgart.de/~buckenhofer/http://wwwlehre.dhbw-stuttgart.de/~buckenhofer/https://www.xing.com/profile/Andreas_Buckenhofer2https://apex.oracle.com/pls/apex/f?p=19297:3:16881272565360:https://www.doag.org/de/themen/datenbank/in-memory/http://wwwlehre.dhbw-stuttgart.de/~buckenhofer/

As a wholly-owned Daimler subsidiary,

we give 100 percent, always and never

less! We love IT and pull out all the

stops to develop Daimler with our

expertise on its journey towards the

future.

Our objective: We make Daimler the

most innovative and digital mobility

provider.

NOT JUST AVERAGE: OUTSTANDING.

Daimler TSS

DAIMLER TSS. WINNING THE DIGITAL RACE

The continuous development of our IT DNA is a key factor for the digital competitiveness of our parent company.

In the domains of Customer and Transformed Vehicle we focus on the following product lines: Mobility, Sales & Care, Digital Vehicle, Digital Production and Cyber Security.

With a holistic IT understanding and high product requirements, we create measurable added value for Daimler.

Daimler TSS

Company Presentation | Feb 2019Daimler TSS

DIGITAL PRODUCTIONSALES & CARE

DIGITAL VEHICLEMOBILITY

CYBER SECURITY

STRATEGIC INITATIVES

PRODUCT LINES. OUR VALUE FOR DAIMLER

AUTONOMOUS DRIVING

Include AI as decisive game changer.

DIGITAL PRODUCTS

Increase sales and

value creation through

attractive digital

offers.

CUSTOMER JOURNEY 360°

Create an integrated customer

understanding through

trustable data collec-

tion & analysis.

LEARNING

THROUGH

GLOBAL PRESENCE

Be effective among the

digital, international competition.

INTEGRATION

OF 3RD PARTIES

Encourage profitable

cooperation through

the technical exchange.

MODERN IT UNDERSTANDING

Ensure the fundamentals for the digital

transformation with advanced IT.

DAIMLER

PLATFORM ECONOMY

Interact directly with Daimler

customers in the digital ecosystem.

ELECTRIC MOBILITY

Accelerate intelligent drive

systems with modern IT.

FOCUS

TRANSFORMED

VEHICLE

CUSTOMER

5

FLAGSHIP PROJECTS

• car2go

• InCar-Delivery

• EQ-Ready

• Mercedes me

• PrivateCarSharing

Daimler TSS

LOCATIONS

* as of Dec 2018

Daimler TSS China

Hub Beijing

7 employees*

Daimler TSS Germany

4 locations

Ulm (headquarters)

Stuttgart

Berlin

Karlsruhe

1203 employees*

Daimler TSS Malaysia

Hub Kuala Lumpur

49 employees*Daimler TSS

Data Warehouse / DHBWDaimler TSS 8

Who are you?

Knowledge or experience:- Databases- SQL- DWH- Big Data

Your expectations?

ABOUT YOU

• 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

DWH LECTURE – TOPICS WITH LEARNING TARGETS


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

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

MANY EMPLOYMENT OPPORTUNITIES


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

MANY EMPLOYMENT OPPORTUNITIES – CHALLENGING JOB REQUIREMENTS


OLTP = online transaction processing

JOB DESCRIPTION EXAMPLES


• 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

ABOUT THE LECTURE


• Download slides from

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

COURSE MATERIAL


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

• Who is the class representative?

• Do you have a class email address?

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

COURSE CONTACT


LITERATURE


LITERATURE


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

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

FINALLY


Questions?Any time

FeedbackAfter lecture or by email

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

[email protected] / Internet: www.daimler-tss.com/ Intranet-Portal-Code: @TSSDomicile and Court of Registry: Ulm / HRB-Nr.: 3844 / Management: Christoph Röger (CEO), Steffen Bäuerle


THANK YOU

Documents

LECTURE @DHBW: DATA WAREHOUSE 00 COURSE INTRO › ~buckenhofer › 20191DWH › ...Increase sales and value creation through attractive digital offers. CUSTOMER JOURNEY 360° Create