IoT: Implications on Database Management

Watch the on-demand Webinar from the database management system experts at McObject.

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Watch the on-demand Webinar

IoT: Implications on Database Management

“Run length encoding can reduce data storage requirements by about 90%.”

“Local processing can reduce the data transport and upstream storage requirements by up to 99%.”

What we covered

What used to be “embedded systems” are now more popularly known as IoT edge devices and gateways. And, while they may retain many of the same characteristics of embedded systems of times past, there are also differences. This presentation explored those old and new characteristics and their implications on DBMSs and equip attendees with knowledge they will need when considering database system alternatives.

  • Where the edge is depends on who you ask
  • Old verses new characteristics of IoT DBMS requirements
    o Connectivity
    o Security
    o Time series data
    o Machine Learning

We explored what works and pitfalls to avoid, and invited project specific questions after the presentation.

 

We invite you to review additional research, and evaluate our free trial software.

We are a dedicated group of specialists and our only focus is database management systems.  See our Related Resources below for our other IoT database Webinars, journal articles and white papers about embedded database management. 

Related Resources

Watch this and other Webinars from the DBMS experts at McObject

Webinars for Professional Developers

Watch to on-demand Webinars, hosted by experts, about proven database management system practices.  Watch “Eliminating Database Corruption“.  Or, “Embedded Databases: Make or Break Technology Choices for High Performance Applications” and others.

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Watch Scaling IoT Applications – Panel Discussion Part I.
The IoT panel discusses scaling by sensors, performance, users, and geography.

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Watch Scaling IoT Applications – Panel Discussion Part II.
The IoT panel reviews the tools, architectures and key components used to move the application from prototype to successful deployment.

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Watch Edge Node Database Systems, the Internet of Things’ Hidden Workhorses
Topics covered include DBMS architectures, NoSQL, data complexity, and more.

 Review our list of Webinars

More than just IoT database Webinars, find our experts in respected journals

Articles for Professional Developers

See a list of articles

White Papers for Professional Developers

We have been testing, improving on, and retesting our software from the beginning in 2001 in order to provide our clients with the best possible data management solutions. Read “Database Persistence, Without The Performance Penalty” and more.

Review our research

White paper: Distributed Database Systems and Edge/Fog/Cloud Computing

A distributed database system is one in which the data belonging to a single logical database is distributed to two or more physical databases. Beyond that simple definition, there are a confusing number of possibilities for when, how, and why the data is distributed. Some are applicable to edge and/or fog computing, some others are applicable to fog and/or cloud  computing, and some are applicable across the entire spectrum of edge, fog and cloud computing.

White paper:  Will the Real IMDS Please Stand Up?

In-memory database systems (IMDSs) have changed the software landscape, enabling “smarter” real-time applications and sparking mergers and acquisitions involving the largest technology companies. But IMDSs’ popularity has sparked a flurry of products falsely claiming to be in-memory database systems. Understanding the distinction is critical to determining the performance, cost and ultimately the success or failure of a solution. This white paper examines specific products, seeking to answer the question, “is it really an in-memory database system?”