This article explores ways to leverage city data in smart cities and how data virtualisation
can help overcome some of the barriers and create new opportunities for data usage. By …

Data Virtualization (DV) has become an important method to store and handle data cost-
efficiently. However, it is unclear what kind of data and when data should be virtualized or …

Nowadays, the economic and social nature of contemporary business organizations chiefly
banks binds them to face with the sheer volume of data and information and the key to …

Modern organizations are currently wrestling with strenuous challenges relating to the
management of heterogeneous big data, which combines data from various sources and …

One major problem many organizations are facing is balancing the risk-management
practices of the organization with overall information technology (IT) effectiveness. The …

Data analysis is important for creating a competitive advantage, but the amount of data is
already massive and increasing rapidly. Practitioners are looking for general models for …

With the rise of data-centric applications, the diversity of data models has posed challenges
in combining, interpreting, and retrieving data from disparate sources. As a response, data …

Data integration is the procedure of merging and converting the various sources of raw data
in agriculture into a single, coherent dataset for use in decision-making and analysis. Data …

When it comes to the agriculture sector, data integration and ingestion are crucial for
streamlining agricultural procedures, raising crop yields, and making wise decisions. Let's …

Atomicity, consistency, isolation, and durability (ACID) transaction guarantees have been the
benchmark for how relational database management systems have been measured …