Automated data warehousing on the cloud is critical for organizations to increase efficiency through faster time-to-market and business agility Data visualization and consolidation architecture integrated with analytics and machine learning and artificial intelligence gives technology leaders practical solutions for their data management journey.
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What is Data Warehouse and why do you need them?
Data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, specifically data analytics. They are intended to perform queries and analysis and often contain large amounts of historical data.
| Challenges of a Traditional Data Warehouse: | Benefits of online-cloud based: |
|---|---|
| Outdated technologies leads to Slow and decreasing performance | Eliminating costs physical hardware. |
| High costs & failure rates | Removing complexities of setting up the data architecture. |
| Rigid, inflexible architecture | Saving on capital & operational expenditure. |
| High complexity & redundancy | Performing complicated analytical queries with agility. |
Traditional Data Warehouses
As the data captured and stored by organizations continued to accumulate, organizations were in the need for replacing the online analytical processing. This was because of the difficulties and inefficiencies in processing high voluminous data. Organizations came up with a solution, which is currently perceived as traditional data warehousing. A multi-tiered array of applications, data stores, and servers, traditional data warehouses saw several advancements over the past decade.
With the advent of digital transformation and cloud computing, organizations were able to see how managing their traditional data warehouses was relatively challenging. This was particularly true, when it came to the technological interoperability, system orchestration, and use of diver software. Traditional data warehousing, which is typically an on-premises solutions, compelled organizations to manage and update their data with additional layers of support overhead.
Cloud Data Warehouses
Cloud data warehouses removed the challenges faced with the traditional Warehouse, applying the cloud’s benefits such as availability, performance, and scalability. This brought a huge processing advancement for all types and sizes of data teams. The cloud service providers take the responsibility for managing the infrastructure availability, hardware, and software updates.
The cloud data warehouses proved to be a viable solution for organizations, as they are capable of scaling simultaneously with growing need for business analytics. The cloud-hosted data warehouses are more accessible, enable easy integrations with existing applications of organizations. Additionally, they empower organizations with reduced cost of ownership and overhead costs, enabling them to focus their resources to work on critical objectives.
Need help with Data Warehouse?
Cloud-Based Data warehousing have profound influence on the data analytics capabilities of organizations, allowing them to deploy virtual data warehouses with the modern analytics suite impacting on data science and analytics are reduced costs, elastic scaling, the convenience of usage, and physical location. Contact us to find out more!
