A cloud data warehouse provides more powerful computing capabilities, and will deliver real-time cloud analytics using data from diverse data sources.
To succeed today, businesses must use collaboration more than ever. Instead of having separate departments, teams, and implementations for things like data mining and analysis, IT, BI, business, etc.
More and more, people and businesses are storing data on the cloud. Cloud-based computing offers the ability to access more data from different sources without the need for massive amounts of data movement and duplication.
We are already seeing significant changes in data storage and all things related to big data, thanks to the Internet of Things. The next generation of data will include even more evolution, including real-time data and streaming data.
These new data warehousing solutions offer businesses a more powerful and helps to achieve real-time data by connecting live data with previously stored historical data
Data lakes: Data in hierarchical files and folders,data lakes have a flat architecture that allows raw data to be stored in its natural form until it is needed.
Data fragmented across organizations: Cloud data warehousing allows for faster data collection and analysis across organizations and departments.
IoT streaming data: Again, the Internet of Things, is a major game-changer, as customers, businesses, departments, etc. share and store data across multiple devices.
OLAP: Online Analytical Processing in Data Warehouses allows rapid calculation of analytical business information using metrics for modeling, planning, or forecasting.
Adapt to new evolving tech stack solutions to ensure informed business decisions.
Achieve Unified Customer Experience with efficient and intelligent insight-driven solutions.
Leverage the True potential of AI-driven implementation to streamline the development of applications.