General Information

Current and Former Versions


The current Datameer X version is Datameer X 11.

To view former documentation versions:

  1. Click on the "hamburger" button on the upper left side corner. The menu opens. 
  2. Select "Dashboard"The Dashboard page opens.  
  3. Select the required documentation version. The product documentation opens. 

How to Use This Documentation


This user documentation has been carefully checked for correctness. Nevertheless, the posssibility of errors cannot be completely excluded. 

For reasons of better readability, the male form is used for personal names and personal nouns in this documentation. Corresponding terms apply to all genders in the sense of equal treatment. The abbreviated language form has only editorial reasons and does not include any evaluation.

Use of synonyms and abbreviations


For ease of readability, synonyms and abbreviations are used. Find important terms in the 'Glossary`.

TermSynonym/ Abbreviation
GCSGoogle Cloud Storage

Sectional Information and Tips

Sectional notices relate to the entire chapter or section, subsection or several paragraphs within this documentation. They come within a panel:


Content that informs the user.


Content that gives the user tips or recommendations for the efficient usage of the product.

Embedded Information and Tips

Embedded information relates to a specific part of a section. These information apply to smaller units of information than the sectional information. They come as follows:

INFO: Content that informs the user. 

TIP: Gives the user tips or recommendations for the efficient usage of the product.


  1. Open the workbook
Action step by step
The dialog opens.Result indication, if necessary
  • Enumaration 1
"Save"Operating element
'Workbook'Screen element
Displays code

Target Groups


The personas describe all target groups for the Datameer X product.

The Datameer X Administrator

The Datameer X Administrator maintains the Datameer X IT infrastructure. Because he is skilled in databases and already worked with Hadoop he is responsible for ensuring the system availability 24/7 as well as its security. 

His goals in using Datameer X are: 

  • guaranty performance and optimise
  • provision IT infrastructure and system integration
  • adherence to SLA`s 
  • job/ Hadoop monitoring
  • Datameer X upgrades
  • easy disaster recovery

The Data Engineer in a Central Data Team

The Data Engineer has deep knowledge and expertise in different database softwares. He is a designer, builder and manager of information. In his team he has to build a robust, fault-tolerant data pipeline that cleans, transforms, and aggregates unorganised and messy data into the data warehouse. 

His goals are:

  • provision and maintenance of industrial data access pipelines
  • develop efficient data access patterns
  • data transformation - provide clean data
  • build complex/ custom data models
  • meta data management
  • data integration

The Data Steward

The Data Steward is needed for organize and provisioning them to the business. He grants access to data to user groups where other groups have to be excluded from data sets due to compliance regulations. He also enriches the datasets with more meta data so accessing and evaluating of data is much easier. 

His goals are:

  • provision of relevant data 
  • track data usage and lineage
  • hide and mask PII and other sensitive data
  • ensure trusted single source of truth
  • ensure regulatory compliance
  • meta data management
  • develop standardized data access patterns
  • documentation of data sets
  • operationalize governance across heterogenous environments

The Departmental Analyst

The Departmental Analyst has business knowledge and is technologically and data savvy, but not as much as a programmer. He is responsible for the preliminary work for the business users. He guides, acquires, processes and summarizes data. Therefore he is used to work with advanced data analytics and vizualization tools. 

His goals are:

  • retrieve and enrich data 
  • fast spreadsheet analytics at scale
  • visual data analytics
  • detect and understand patterns
  • Trakt KPIs and inform decisions
  • getting insights to reports or share them

Legally Required Information

This document is the original documentation for the product Datameer. All rights reserved. Any reproduction of this document, whether in whole or in part, is permitted only with the permission of Datameer X Inc. 

Datameer X Inc.

535 Mission St, Suite 2602

San Francisco, CA 94107 / USA