How to Build an IoT Data Lake

The Internet of Things (IoT) is one of the driving forces for the increase in today’s data volume and diversity. In response, IoT platforms must enable users to leverage incoming data for immediate analysis/action as well as long-term historical analytics. For the latter, the data needs to be stored efficiently and made available for large-scale analytics.Cloud data lakes are cost-efficient and scale almost infinitely. However, data lakes only provide low-level primitives that must be used appropriately to unleash their full potential.This talk discusses both the challenges and solutions of using data lakes as the essential building blocks for long-term storage of IoT data, such as how data is moved from the IoT platform to the data lake, how data is organized, and how efficient querying by various consumers (e.g., IoT platform user interface, business intelligence tools and machine learning applications) is achieved.

Topics Covered

Data Lake Storage

Ready to Get Started? Here Are Some Resources to Help


2024 State of the Data Lakehouse

Benchmark your organization with Dremio's State of the Data Lakehouse Survey Report!

read more

Expert Panel Discussion – Data Integration Trends and Best Practices Webinar

TDWI senior research director James Kobielus will engage data industry experts in an in-depth discussion of data integration trends and best practices

read more
OctotronicDremio Smart Data Smart Factory 1


Smart Data – Smart Factory with Octotronic and Dremio

Wie bringt ein Data Lake House die Smart Factory auf ein neues Level?

read more
get started

Get Started Free

No time limit - totally free - just the way you like it.

Sign Up Now
demo on demand

See Dremio in Action

Not ready to get started today? See the platform in action.

Watch Demo
talk expert

Talk to an Expert

Not sure where to start? Get your questions answered fast.

Contact Us