Data Quality (DQ) describes the degree of business and consumer confidence in data’s usefulness based on agreed-upon business requirements. These expectations evolve based on changing contexts in the marketplace. As people get new information and experience different interactions, business requirements face updating, redefining Data Quality needs within the data’s lifespan. Since DQ represents a moving […]
DAS Webinar: Artificial Intelligence and Machine Learning – Building the Right Architectural Foundation
Download the slides here>> About the Webinar Artificial intelligence (AI) and machine learning (ML) are increasing in popularity as more organizations are looking to become more data-driven. To support strong AI/ML models and algorithms, accurate and timely data is needed, supported by a strong Data Architecture. Join this webinar to understand how to create […]
How to Become a Data Modeler
There is always a need for data modelers. However, the job description of this career field varies, depending on the needs of the organization. For example, if you become a data modeler working for a startup, you might coordinate with data scientists and data architects in designing a new system – one that includes the […]
What Is Data Strategy and Why Do You Need It?
With the increasing amount of data available, businesses need to have a clear, enterprise-wide plan on how to collect, analyze, and use data to make informed decisions. A well-laid-out plan or “Data Strategy” can help businesses identify gaps and take corrective actions to improve operations, enhance customer experience, and drive growth. A strong Data Strategy can also […]
Couchbase Demo: Requirements Driving Modern Applications
Download the slides here>> Changes in consumer behavior are driving the need for applications to be highly personalized and localized across industries and verticals. Use of a high-performance, feature-rich NoSQL database can support personalization based on behavior, geographical location, and the specific mobile and IoT devices that users are on and around. However, enterprises […]
Fluree Demo: The Great Escape – Liberating 20+ Years of Legacy Data into Knowledge Graphs and Semantics with AI
Download the slides here>> Most large enterprises struggle to adopt knowledge graphs and semantic models given years of investments in legacy mainframe, relational database and data warehousing technologies. Because legacy data has been created and retained in source application schemas with zero semantic structure, the cost and complexity to convert to a universal-semantic data […]
MongoDB Demo: From RDBMS to NoSQL at Enterprise Scale
Download the slides here>> NoSQL isn’t just a database. It’s a new way of thinking about data. Traditional RDBMS has been baked into software development for decades. Moving development organizations from RDBMS to NoSQL means overcoming technology momentum and the natural bias to use solutions that are already well understood. Prior to joining MongoDB, […]
Cambridge Semantics Demo: Conversations with Your Data
Download the slides here>> Knowledge Guru is a revolutionary new feature that facilitates a conversational interaction (similar to ChatGPT) between individuals and data in their organization. The first part of this session will cover Knowledge Guru’s capabilities, and how it utilizes LLM technology. Then we’ll peel back a couple of layers and discuss how […]
Data Integrity vs. Data Quality
Data Quality and data integrity are both important aspects of data analytics. With the rapid development of data analytics, data can be considered one of the most important assets a business owns. As a result, many organizations collect massive amounts of data for research and marketing purposes. However, the value of this data depends on […]
RWDG Webinar: How to Govern Glossaries, Dictionaries, and Data Catalogs
Download the slides here>> This webinar is sponsored by: About the Webinar Business glossaries, data dictionaries, and data catalogs are valuable tools that enable organizations to drive active value from the definition, production, and usage of their data. These tools house metadata including the inventory, business and technical context, stewardship, rules, and understanding of […]