DATE: September 11, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar Translytical databases represent a powerful convergence of transactional and analytical processing capabilities. This technical webinar will provide a comprehensive framework for evaluating and implementing translytical database solutions, exploring architectural patterns, performance […]
Bridging the Gap: Harmonizing RDBMS with Data Warehousing for Scalability
As businesses grow, so does the complexity of managing and analyzing data. Traditionally, relational database management systems (RDBMS) have been the backbone of data storage, offering robust and reliable transactional capabilities. However, as data volumes increase, traditional RDBMS solutions start to hit their limits, causing performance issues that affect overall operations. The need to scale […]
The Post-Modern Data Stack: Unleash the Power of Foundational Models
Imagine you are assigned to extract sales insights from your data. Along with troves of corporate financials together with other market trends, you are also given access to hours of audio and video files of actual sales representatives speaking with customers. How do you process this in Spark? Or, consider another scenario where you work […]
How AI Is Changing SQL for the Better
Structured query language (SQL) is one of the most popular programming languages, with nearly 52% of programmers using it in their work. SQL has outlasted many other programming languages due to its stability and reliability. SQL doesn’t change dramatically from version to version, and that consistency, combined with a logical design that allows it to deliver […]
The Hidden Pitfalls of Cloud-Based Managed MySQL Services
Cloud-based managed MySQL data services are being aggressively marketed to organizations with the promise of streamlining their database management. These “managed data services” are an alternative to more traditional “non-managed data services” – software solutions with embedded intelligent proxies and cluster management using native MySQL run on-premises, in the cloud, or a hybrid cloud. These […]
Data Management in an Industrial Environment
Industrial environments are rich data sources, from equipment pressure and temperature readings to real-time inventory levels. This ocean of data provides organizations with valuable insights when (and if) effectively harnessed. By transforming raw data generated across the floor 24/7 into actionable intelligence, industrial plants are equipped with data-informed insights necessary to create operational strategies that […]
Generative AI and Data: Using Knowledge Graphs and RAG Together
Generative AI has huge potential, but it also faces problems. If generative AI creates information that is not factually accurate in response to a user request – resulting in so-called hallucinations – it can have a big impact on users. Relying on large language model (LLM) training data on its own is not enough to prevent […]
Cloud Computing vs. Data Security
Cloud computing has, in recent years, become both an essential service used in many industries and a ubiquitous part of the daily lives of consumers. By offering remote access to computing services that can be rented out on a flexible, efficient, as-needed basis, it gives companies access to greater computer power and storage capabilities than […]
Data Modeling and Data Models: Not Just for Database Design
“The main purpose of a data model is actually not to design a database – it’s to describe a business,” said Christopher Bradley, information strategist at DMA Advisors. Bradley spoke at a recent Data Architecture Online conference about the purpose of Data Modeling and its role in Data Governance and the modern successful business. Are […]
ADV Webinar: Every Database Is Multi-Modal – What Does This Mean to an Enterprise?
Download the slides here>> About the Webinar Today’s enterprises have an unprecedented variety of data store choices to meet the needs of their varied workloads. Because there is no one size fits all when it comes to data stores, this can lead to confusion and chaos. Enterprises have many needs for databases, including cache, operational, data […]