Home > Event > On-Demand Webinars > How to Handle NoSQL with a Relational Database

How to Handle NoSQL with a Relational Database

MariaDB

It can be difficult to scale out relational databases and provide more schema flexibility, thus the rise of NoSQL. However, you shouldn’t have to sacrifice data integrity and transactions in order to scale out on commodity hardware and support semi-structured data. By using an RDBMS with built-in sharding and JSON support, you don’t have to. You get the scalability and flexibility of a NoSQL database along with the consistency and reliability of a relational database – and the ability to mix and match relational and JSON data. In this webinar, we’ll explain how MariaDB Platform can be deployed as a NoSQL database by using the Spider storage engine and built-in SQL functions for JSON. In addition, we’ll discuss how you can access relational data as JSON documents, and how to enforce data integrity if a relational data model is extended with JSON

Watch Now

Spotlight

How to Use Analytics in UX

Integrating analytics into UX work helps to make data-based decisions and focus efforts on projects with the most significant impact.

OTHER ON-DEMAND WEBINARS

What’s Ahead in Data Management in 2019?

tdwi.org

This webinar is a must attend for technical users and business managers who are facing these changes. The expert panel on this webinar will help attendees understand what’s ahead in 2019 and beyond for data management. Attendees can then apply that information to prioritize the data management changes they must address and how they will prepare via hiring, training, budgeting, making a business case, and adopting the right data platforms and tools.

Watch Now

6 Steps for a Successful Data Migration

Did you know that most migrations fail in some way, either missing project deadlines, overshooting budgets, or running into complications in the new environment? A lack of visibility into data can seriously jeopardize—and sometimes even ruin—a migration project.

Watch Now

The Software-Defined Data Center: A Foundation for Digital Transformation

tierpoint

As reported in Forbes last year, 73% of companies are planning to move to a fully software-defined data center within two years. A software-defined data center is based on a virtualized environment of compute, storage, networking and security in conjunction with policy-based management and automation. The evolution from a traditional data center architecture to one that is software-defined can take months if not years but can yield immense benefits for the business. Join us for a discussion on the progress toward the fully software-defined data center, including benefits of infrastructure as code and overcoming challenges associated with traditional workflows.

Watch Now

Data extraction from documents: template-based or AI-based

In companies today, numerous documents are in circulation. Yet the data inside needs to be captured so it can be used for further processing. Just think about how the Finance team needs access to data in invoices. Or how the market analytics department needs access to utility bill data to perform market research. Brokers who need to retrieve data from purchase orders, IT departments that require data extraction as a part of a paperless workflow. The list goes on.

Watch Now