Working with Big Data and FME

Liz Sanderson
Liz Sanderson
  • Updated


Big data is a term to describe datasets that are high in volume and have a variety of data types, that also need to be processed at high velocity. For a high-level overview of how FME can help you with Big Data, see our website



Getting Started with Google BigQuery

FME & Hadoop FAQ


Format Documentation

Apache Hive (Hadoop) Reader
​​​​​​​Amazon DynamoDB Reader/Writer
Google BigQuery Reader / Writer
IBM Cloudant

​​​​​​​Top Questions and Answers

big data -> big headache
​​​​​​​Big Data Processing
​​​​​​​What is the Standard Process in Loading Big Data to a Database


Additional Resources


7 Emerging Data & Enterprise Integration Trends in 2022
​​​​​​​10 Ways to Automate All Your Data Workflows
​​​​​​​Bring Your GIS and Business Data Into Google BigQuery with FME
​​​​​​​COVID-19: New Trends & Medical Data Integration
​​​​​​​DynamoDB and S3 – Using Geohashes to Give Location to Big Data
​​​​​​​How to Upload Big Data to the Cloud
​​​​​​​setld, FME and the 4 Vs of Big Data: Building Business Intelligence “Products”
​​​​​​​Think like a point cloud: Tips for effective data processing


​​​​​​​Big Cities, Big Dreams, Big Data Problems: Making Urban Design Tools Talk to Each Other with FME
​​​​​​​Leveraging IoT Big Data to Bring Insights to Global Vessel Patterns [22:01]
Performance and Application of GIS and Big Data ETL Processes Using FME


BigQueryGIS - Simple​​​​​​​
BigQueryGIS - Dynamic



​​​​​​​Build a limitless spatial database in the cloud with Amazon DynamoDB and S3 [18:25] 



Big Data - Tap into Cloud Infrastructure [1:09:08]

Known Issues

For a list of Known Issues, see the following articles: 2021.x2020.x2019.x2018.x2017.x


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