Download the slides here >> About the Webinar This session emphasizes the critical role of embedded databases in the evolving landscape of the Internet of Things. As IoT devices proliferate, the need for efficient, localized data management becomes paramount. Embedded databases offer a solution by enabling data processing directly on devices, thus reducing latency and […]
Fundamentals of Dimensional Data Modeling
In today’s data-driven business environment, organizations demand reliable and stable business insights to make informed decisions. To cater to this demand, over 60% of companies turn to data warehouses (DWs) to store, manage, and analyze their data efficiently. The success of these DW implementations depends on dimensional data modeling – an analytical approach that organizes and categorizes data for efficient analysis and […]
What Is Data Integration?
Data integration combines information from multiple sources into unified, reliable data that drives business operations and decision-making. It consolidates data from databases, applications, spreadsheets, and tribal knowledge into a single cohesive system for effective use. Modern businesses generate vast amounts of data across different systems and departments. Without data integration, this information remains scattered and difficult to use. With it, organizations can […]
Change Data Capture and the Value of Real-Time Data Integration
Business insights are only as good as the accuracy of the data on which they are built. According to Gartner, data quality is important to organizations “in part because poor data quality costs organizations at least $12.9 million a year on average.” So, we believe that it stands to reason that providing access to the […]
SQL and the Relational Model: Enduring Standards in the Age of AI
In 1970, Ted Codd introduced the relational data model, which proposed representing data as tuples, grouped into relations, to allow for declarative methods to specify data. SQL was developed at IBM as a way to query relational databases. It is a declarative programming language, expressing what data is to be retrieved, as opposed to imperative programming languages […]
What Is a Knowledge Graph?
A knowledge graph is a structured data representation that reveals patterns and connections in the real world. It consists of three components: Nodes: Real-world concepts – including entities, people, places, and things. Edges: Connections between the nodes – including activities and characteristics between nodes. Properties: Labels that provide additional context about the nodes, relationships, or both. See the image below: This model unifies disparate pieces […]
The RDBMS Split Process: A Practical Guide to Streamlining the Transition to Data Warehouses
In the first part of this series, we explored how harmonizing relational database management systems (RDBMS) with data warehouses (DWH) can drive scalability, efficiency, and advanced analytics. We discussed the importance of aligning these systems strategically to balance their unique strengths while avoiding unnecessary complexity. In this installment, we tackle a challenge many organizations face: […]
Modern OLAP: From Static Beginnings to a Big Data Renaissance
Online analytical processing (OLAP) enables users to interactively extract insights from complex datasets by querying and analyzing data in a multidimensional way. By structuring data by dimensions and measures, OLAP allows for intuitive and immediate slicing, dicing, and pivoting to interactively answer critical business questions. OLAP has come a long way since its inception. The […]
MySQL Replication: Unlocking Performance and Flexibility with Advanced Techniques
In database management, replication has long been a cornerstone of data reliability, redundancy, and performance. For those familiar with MySQL, replication may seem straightforward – simply read the binary log and apply it to a replica server, right? While this basic understanding is correct, improving replication performance is far more complex, particularly when dealing with […]
Enhancing Generative AI with Vector Databases: Practical Applications in the Travel Industry
As AI continues to drive innovations in customer experiences, the need for better data management systems has become more evident. One such system, vector databases, is gaining traction as a key enabler of generative AI in industries like travel. These databases are specifically designed to store and process high-dimensional data in the form of vectors, […]