Data architects and engineers
Designing a new end-to-end analytics architecture for a data-driven organization
Use cases
About
The Analytics Stack mind map template provides a comprehensive overview of the modern data analytics architecture, covering 83 nodes across 6 major branches: Data Sources, Ingestion/Transformation/Data Integration, Analysis, Delivery, Deployment, and Organization of Data. This template is used by data engineers, architects, and analysts to map out the entire analytics pipeline from data ingestion to delivery. It includes specific tools like Informatica, Talend, Actian, and Amazon Redshift, and organizes data storage into categories such as Relational DBMS (e.g., MS SQL Server, Oracle) and Wide row/Columnar/Hadoop (e.g., Cloudera, Cassandra). The template serves as a visual cheat sheet for understanding the components and technologies in a typical analytics stack.
Terms and ConditionsWhen to use this template
Data integration specialists and IT managers
Evaluating and comparing different ETL tools and database technologies for a project
Data analysts and new hires in data teams
Onboarding new team members to understand the company's data stack and tooling
How to use this template
Step 1
Open and Review the Pipeline Structure
Download the Analytics Stack file and open it in Xmind to explore the six major branches covering data sources through delivery.
Step 2
Customize Technology Nodes and Tools
Replace the existing tool names like Informatica or Amazon Redshift with your organization's specific technologies to reflect your actual stack.
Step 3
Refine and Present Your Architecture
Add or remove subtopics to finalize your data pipeline and use the map as a visual aid during architecture reviews or presentations.
Frequently asked questions
The template covers 83 nodes across 6 branches: Data Sources, Ingestion/Transformation/Data Integration, Analysis, Delivery, Deployment, and Organization of Data, listing specific tools and technologies.
Open the .xmind file in Xmind, then customize each branch with your own tools and processes. For example, replace the ETL tools under Ingestion with your actual stack.
Yes, the template is fully editable in Xmind. You can add, remove, or rearrange nodes to match your specific analytics architecture.
It categorizes database types like Relational DBMS (e.g., MS SQL Server), Wide row/Columnar/Hadoop (e.g., Cloudera), and In Memory (SSD) such as SAP HANA.
Yes, the Deployment branch includes Cloud Physical, Cloud VM, and specific services like Amazon Redshift and MicroStrategy Cloud.
The Analysis branch includes tools for Operational Intelligence (Actian), Predictive Analytics (FuzzyLogix DBLytics), and Exploratory & Data Mining (Alteryx, Datameer).
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