Data integration involves combining data from different sources while providing users a unified view of the combined data. This lets you query and manipulate all of your data from a single interface and derive analytics and statistics. You can also visualize and even migrate your combined data to another data store for longer-term storage and [...]
Many companies will be focusing on data-driven business this year. By reducing technical complexity and creating a single point of access to all of your data, you can achieve a better understanding of your data and the reality it depicts.
Data integration aims at providing an integrated and consistent view of data coming from internal and external data sources. This is achieved in using one of the three different data integration techniques, depending on the heterogeneity, complexity, and volume of data sources involved. Data Consolidation As the name suggests, data consolidation is the process of [...]
A variety of tools, platforms, and sources can be used to ingest and store data. Getting everything into one place can be a major challenge. What's more, new data sources are introduced all the time. This means scale and schema flexibility are paramount. Aggregated data is often inferior to raw data when deriving analyses and [...]
