Paradigmenwechsel mongo db_20190606

Geschwindigkeit - Paradigmenwechsel beim Arbeiten mit Daten!
Wie dokumentenbasierte Datenbanksysteme von MongoDB Ihre Arbeit mit Daten revolutionieren.
Benjamin Lorenz - Manager Solution Architecture Central Europe
Uwe Rammelsberger – Senior Enterprise Account Executive

Agenda
180 minutes
14:00 - 14:30 Anmeldung
14:30 - 14:40 Begrüßung
Uwe Rammelsberger, Senior Enterprise Account Executive, MongoDB
14:40 - 15:15 Zentral oder Dezentral: Grundlagen über die Nutzung von MongoDB
Uwe Rammelsberger, Senior Enterprise Account Executive, MongoDB
15:15 - 15:45 Kundenvortrag: Der effiziente Einsatz von MongoDB bei der Porsche AG
Thomas Herold & Rainer Feest, IT-Projektleiter, Porsche AG
15:45 - 16:00 Kaffeepause
16:00 - 16:30 Live-Demo und erste Schritte mit MongoDB Atlas und MongoDB Compass
Benjamin Lorenz, DACH Solution Architect Manager, MongoDB
16:30 - 17:00 Fragerunde und Networking mit den Experten

Börsengang 2017
MongoDB in Zahlen
14200+ Kunden 60 Mio-
Downloads
1200+ Mitarbeiter2007 / New York Wachstum 52%
YoY
50%

Geschwindigkeit - Paradigmenwechsel
beim Arbeiten mit Daten!
Wie dokumentenbasierte Datenbanksysteme von MongoDB Ihre Arbeit
mit Daten revolutionieren

For more than a decade,
organizations have been pursuing the promise of
Digital Transformation

Mobile
Expanded
Use Cases
New IT
Models
Smart
Objects
Legacy Modernization

88%
CIOs believe they have yet to benefit
from their digital strategy
Source: Harvey Nash / KPMG CIO Survey 2017

The reason?
DATA.S I L O E D | C O M P L E X | T R A P P E D

Every company
is becoming a
software
company

Intelligent Operational Data Platform
Best way to work
with data
Intelligently put data
where you want it
Freedom to run
anywhere
● MongoDB Stitch
● MongoDB Server 4.0
● MongoDB Compass
● MongoDB Charts
● MongoDB Mobile
● MongoDB Server 4.0
● MongoDB Atlas
● Ops Manager 4.0
● Free Cloud Monitoring

Easy Fast Flexible Versatile
Best
way to work
with
data

14
Easy: Contrasting data models
Tabular (Relational) Data Model
Related data split across multiple records and tables
Document Data Model
Related data contained in a single, rich document
{
first_name: ‘Paul’,
surname: ‘Miller’,
city: ‘London’,
location: {
type : ‘Point’,
coordinates : [45.123,47.232]
},
cars: [
{ model: ‘Bentley’,
year: 1973,
value: 100000, … },
{ model: ‘Rolls Royce’,
year: 1965,
value: 330000, … }
]
}

16
Flexible: Adapt to change
Add new fields dynamically at runtime
{
city: ‘London’,
location: {
type : ‘Point’,
coordinates : [45.123,47.232]
},
cars: [
...
]
}
{
city: ‘London’,
location: {
type : ‘Point’,
coordinates : [45.123,47.232]
},
cars: [
...
],
motorcycles: [
{ model: ‘BMW’,
displacement: 500,
transmission: ‘Chain’, … }
]
}

Intelligently
put data where
you want it
Availability Scalability
Workload
Isolation
Locality

Freedom
to run anywhere
Runs the
same
everywhere
Coverage
in
any geo
Leverage
multi-cloud
strategy
Avoid
lock-in

MongoDB Enterprise Offers
Enterprise Advanced Atlas - DBaaS

MongoDB Enterprise Advanced
MongoDB Compass MongoDB Connector for BI
MongoDB Enterprise Server
CommercialLicense
(NoSSPLCopyleft
Restrictions)
Platform
Certifications
MongoDB Ops Manager
Monitoring &
Alerting
Query
Optimization
Backup &
Recovery
Automation &
Configuration
Schema Visualization
Data Exploration
Ad-Hoc Queries
Visualization
Analysis
Reporting
LDAP & Kerberos Auditing FIPS 140-2Encryption at Rest
REST API
Emergency
Patches
Customer
Success
Program
On-Demand
Online
Training
Warranty
Limitation of
Liability
Indemnificati
on
24x7Support
(1hourSLA)

Atlas
unlocks agility
and reduces
cost
Self-service and
elastic
Global and highly
available
Secure by default
Comprehensive
monitoring
Managed backup Cloud agnostic

MongoDB Enablement
For Operations
For Developers
Design
& Development
Pre-Production
(Test, QA, Deployment)
Production Expansion
Dedicated Consulting Engineer | Custom Projects
Operations
Rapid Start
Production Readiness
MongoDB
Private Cloud Factory
App Modernization Factory
Data Layer Realization
Innovation Accelerator
Health Check
Development
Rapid Start
Performance Evaluation and Tuning
For Both
T
Developer
Training
T
Essentials
Training
T
Administrator
Training
T
Advanced Developer
Training
T
Advanced Administrator
Training
Consulting, training, and professional services throughout your project lifecycle

Many Thanks
{ name : “Uwe Rammelsberger",
title : “Senior Enterprise Account Executive",
location : “MongoDB Deutsche GmbH, WeWork Office,
Neue Rothofstrasse 13-19,, 60313 Frankfurt, Germany",
phone : “+49 170 3141942",
web : "MongoDB",
email : “uwe.rammelsberger@mongodb.com" }

Overview of MongoDB Single View Reference Architecture

Isolating operational from analytical workloads in a
single database cluster

Cisco modernized their $40B+ eCommerce platform to improve customer
experience and increase revenue through digital channels
We have business velocity
now because we can deliver
new capabilities more easily
and faster than ever before.
–Dharmesh Panchmatia,
Director of eCommerce
@ Cisco
“
$2.0MM+
in savings with developer
productivity gains
100x
improvement in availability –
99.99% uptime from 99%
5x
improvement in site
performance
26
business critical backlog
features eliminated

WindyGrid’s Backbone: The Flexible Data Model and Powerful Real-Time Analytics
• The city of Chicago collects more than seven million rows of data every day. With MongoDB’s flexible data schema, Chicago
doesn’t need to worry about unwieldy and constantly changing schema requirements.
Chicago Uses MongoDB to Create a Smarter and Safer City
I want to be the city that’s on the forefront,
actually building a new path, building a new
model for how cities operate.
- Mayor Rahm Emanuel

Paradigmenwechsel mongo db_20190606

Recommended

Recommended

More Related Content

Similar to Paradigmenwechsel mongo db_20190606

Similar to Paradigmenwechsel mongo db_20190606 (20)

More from MongoDB

More from MongoDB (20)

Recently uploaded

Recently uploaded (20)

Paradigmenwechsel mongo db_20190606