The Topic of Data Mesh has been dominating the data management discussion for some time now. This is a topic that has gained significant attention in recent years due to […]
The report, authored by Forrester analyst Boris Evelson, highlights SCIKIQ’s ability to support the development of domain-specific applications and use cases. SCIKIQ has been recognized for its versatile capabilities as a data fabric platform. This places SCIKIQ alongside other industry leaders such as AWS, Tibco, DOMO, Microsoft, Salesforce, and Google Cloud.
Data management has become increasingly complex for organizations as the volume and variety of data continue to grow. Traditional data management solutions often fall short of addressing the gaps in […]
As the volume and variety of data continue to grow, managing and governing enterprise data has become increasingly complex for organizations. Traditional data governance solutions often fall short of addressing […]
Automated data discovery utilizes machine learning, statistical techniques, and data mining tools to identify patterns, relationships, and insights within large datasets. This process aims to make discovering meaningful insights in […]
Customer 360 is a term used to describe a complete and holistic view of a customer, including their demographics, behavior, website inquiries, product purchases, and customer support tickets and transaction […]
future of data integration which includes a greater focus on cloud-based solutions, real-time integration, increased automation, Machine learning, AI integration, and Big Data integration.
As organizations continue to grapple with the complexities of managing large amounts of data in an increasingly hybrid and distributed environment, data fabrics have emerged as a promising solution. These […]
Data analytics has become an essential tool for businesses looking to make informed decisions and stay competitive in today’s fast-paced world. But as the amount of data available to organizations […]
When we say that both the metadata and the management of it are active in active metadata, we mean that the metadata is constantly changing and being updated as the data itself changes. This includes generating, collecting, and indexing metadata as the data is used, updated, and modified. In other words, the metadata is not static, but rather it is actively flowing and updating along with the data. This allows for the most accurate and up-to-date context and information to be available to those working with the data.
A data fabric can help scale data management processes by providing an infrastructure that is designed to support the flow and management of data across an enterprise. This can include […]
A knowledge graph is a structured database of interconnected data that represent real-world entities and their relationships. It is designed to capture and organize information in a way that is […]