How do you Design a Data Platform?

Last months some of our professionals have spoken with many companies (Vodafone, Huawei, PWC, Abn Amro, AHOLD, Honeywell are some of those companies) about Data Architectural Design and Smart Data Management. We have also spoken to several Data Technology vendors about #BigData Architectural Designs including the very common Provider names among those.


We realised most of the companies are in Need and in Search of a Concrete Data Management Plan but The Technology Providers suggest cut-edge Sales-packages, While the organizations need something in between as a first-step into #BigData that we as BigDataB2C can help with; Organizational processes and the existing Business Culture makes it difficult to consolidate the existing DWH's, Offline Data sources and legacy systems, in order to create a Datalake with the minimum optimal stability to answer the daily operational Business, the first step require to analyse As-Is situation, holding one to one peer conversations with Business departments, IT services, Application Management.

Based on As-Is Analysis, we will help you to work out further:

- Defining CDM / Logical Data Model

- Data Center advisory

- Data onboarding

- Creating Data Lake

- Setting up POC/Discovery

- Setting up Cloud//Inhouse environment


At the moment there are several Cloud Data platforms are available for Starters as Open Technology, Amazon Web Services or Azure Platform are the most common environments.

Further, using Data Analysis technologies connected to these platforms will always cost you some as not all of them are based on Open technology/ license free.

We have certified professionals to help on your Platform Implementation and Management needs













Big Data Business Guide, Arzu Barské - Erdogan 2014 © ver 4.0
















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