Internet of Things (IoT) Data Storage

See how your organization can best leverage cloud-based data stores so that IoT-produced data is maintained, managed and backed up remotely and made available to users over a network (typically the Internet).

February 19, 2019 19 Feb'19
MDL AutoMation picks Imanis Data to protect MongoDB

MDL AutoMation purchased Imanis Data to gain hourly backups and nightly restores of its MongoDB database -- something that couldn't be done with MongoDB's native backup.

Bring yourself up to speed with our introductory content

NAND flash wear-out

NAND flash wear-out is the breakdown of the oxide layer within the floating gate transistors of NAND flash memory. Continue Reading
Storage for edge computing is the next frontier for IoT

IoT edge devices are getting smarter and will need local storage for machine learning and other AI operations. Is the industry ready for the challenge of storage for edge computing? Continue Reading
How to keep up with IoT data protection

When it comes to protecting IoT data, admins can begin planning backup with an assessment of how much data the organization is generating and how it's being used. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

Reach business objectives with the right IoT data pipeline

IoT technology creates value from its data. Organizations need the right IoT data pipeline to facilitate the processing that leads to actionable insights and informs business decisions. Continue Reading
Updating video surveillance infrastructure for IoT connectivity

If done correctly, creating an entirely cloud-based video surveillance ecosystem can help create a platform for a highly intelligent set of IoT services. Continue Reading
How to select the right IoT database architecture

To choose the best database architecture for an organization's IoT initiative, IoT technologists must understand the basics of all the database options. Continue Reading

Learn to apply best practices and optimize your operations.

Storage optimization strategies for time-series data stores

Storing time-series data should depend on how the data is used and its age. Discover tips for saving data for comparative analysis, machine learning and other purposes. Continue Reading
Understand IoT data management essentials

The flood of data from IoT devices requires careful planning of infrastructure and data management, and current processes might not be up to the task. Continue Reading
Drastically simplify your IoT data pipeline

IoT devices can quickly create a massive amount of data that seems unmanageable, but data lake engines can simplify the data pipeline and get greater value from IoT data. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

The unique requirements for the edge data layer

Where data is stored affects both distribution and connectivity. By keeping data in the right type of storage with dedicated private lines, organizations can improve both performance and security. Continue Reading
How IoT is transforming energy efficiency tactics

Energy efficiency is a critical component to a retailer's everyday operations, and IoT sensors and data can help them save on energy consumption and costs. Continue Reading
How to prepare for the age of edge storage

As data floods in from IoT devices and applications move to the cloud, organizations should consider separating storage from compute with the NVMe/TCP standard. Continue Reading