Big Data: Guide for the Decision Maker - Frankfurt

September 26, 2016

Frankfurt, Germany

The drive for new digital applications is overwhelming existing data infrastructure. Large organisations are adopting technologies first developed in hyper-scale web properties:

  • NoSQL databases
  • Hadoop
  • Spark

The volume, velocity, and variety of data is causing all organisations to rethink and to try future-proofing their big data architectures.

Are you confused about the myriad of new technologies? Then you are not alone.

Join us along with other decision makers to understand how to build your modern enterprise data architecture.


Agenda

12:30 - 13:30 Registration and lunch
13:30 - 13:45 Introduction: How the World has Changed Since Relational Databases were Invented
Data and risk have both increased significantly since the 1980's. 90% of the data created is from the last 2 years. 80% of data is now unstructured. The risks of running your database are higher with more users and no downtime. What database considerations should a business leader be concerned about with the rise of modern applications?
Benjamin Lorenz, Senior Solutions Architect, MongoDB
13:45 - 14:15 Modern Enterprise Data Architecture: Creating the Operational Data Lake
Gartner analysts predict that 70% of Hadoop deployments will not meet cost savings and revenue generation objectives due to skills and integration challenges. Vast sums of data is trapped in 'Data Lakes'. Learn how leading organisations are gaining a competitive advantage by using MongoDB to operationalise their Data Lakes to gain insight and intelligence in real-time.
Mat Keep, Director Product & Market Analysis, MongoDB
14:15 - 14:45 The Rise of Microservices: Containers and Orchestration
Organisations are building their applications around microservice architectures because of the flexibility, speed of delivery, and maintainability they deliver. In this session, the concepts behind containers and orchestration will be explained and how to use them with MongoDB.
Andrew Morgan, Product Marketing Principal, MongoDB
14:45 - 15:00 Coffee break
15:00 - 15:30 Case Study: Volkswagen AG
Martin Mayr, Senior Consultant, Primeforce
15:30 - 16:00 Demo: How to Analyse and Make Sense of Humongous Datasets
Konstantin Greger, Consultant, Tableau Software
16:00 - 16:15 How we are helping organisations globally and how we can help you
Benjamin Lorenz, Senior Solutions Architect, MongoDB
16:15 - 16:30 Q & A session
16:30 Networking and close
An opportunity to network and discuss projects in private with our team.


Venue

Steigenberger Frankfurter Hof, Am Kaiserplatz 60311 Frankfurt, Germany

Set in the financial district, this elegant hotel dating from 1876 lies 1.4 km from the Zeil shopping street and 2.3 km from Palmengarten, a 19th-century botanical garden.