6 Justifications for A Data Warehouse in The Cloud

6 Justifications for A Data Warehouse in The Cloud

This article describe the top six justifications for a data warehouse in the cloud any business should consider.

Some organizations find data warehouses difficult to manage and have problems with issues such as file types, storage and visibility. Here are six reasons why moving to a cloud-based data warehouse can solve these problems and deliver a range of benefits.

Modern data warehouses allow you to collect information from different sources, analyze it and act on it. The ability to quickly process the large amounts of data modern businesses contain is key to their success. Managers can use this information to make informed, fact-based decisions.

However, a recent survey found that nearly two-thirds of professionals consider managing the data warehouse “difficult” or “very difficult”. Cloud data warehouses are emerging as the most effective way to reduce data complexity while meeting the growing demands for scalability, security and performance. This is due to the increasing volume and complexity of data.

Cloud Data Warehouses are Often Used for the Following Purposes:

1. Managing Large Amounts of Data

Cloud data warehouses are scalable and allow storage capacity to be increased regardless of server capacity. They can, therefore, handle large amounts of data without increasing the associated costs. Moving to cloud data warehouses allows organizations to scale up resources and manage changes in data growth in minutes or seconds. Management is done through dashboards and programmatic interfaces. Businesses, therefore, do not need to allocate budgets, purchase upfront or worry about running out of storage capacity.

2. Support for Different Data Formats

Not all enterprise data generated is structured, so cloud data warehouses support several semi-structured data formats such as JSON and CSV. Some services allow access to unstructured data stored on external hard disks. Cloud-based data warehouses can handle the semi-structured and unstructured data common in big data workloads and support a variety of data formats and queries. Most cloud-based systems can store data for longer periods of time, which is also an advantage for data-intensive applications. There is less impact on business operations, data is easily accessible, and storage costs are lower.

3. Ease of Use

Cloud data storage can support ad hoc and parallel queries on the same data set without affecting the efficiency of current processes. This means fewer restrictions for users to work with the data. With extraction/load/transformation (ELT) data processing and advanced data mining techniques, users do not have to deal with complex ETL channels. Users can query terabytes of data simultaneously and get results in seconds.

4. Lower Total Cost of Ownership

The pay-per-use model can also be applied to cloud services using storage technologies. Most cloud storage services separate server and storage services according to scalability and capacity requirements. Depending on the cost structure of the cloud service, companies may pay for processing and storage services separately or together, depending on the volume of usage. Because cloud storage does not need to be scaled, savings can be made on hardware and maintenance, eliminating staffing, licensing and hardware costs.

5. Improved Security

Data stored in the cloud is hardware encrypted. Data transmitted between servers, sites and services is encrypted using TLS. Most cloud systems support virtual private networks that connect local networks using standard IPsec VPNs. Most organizations need their team of experts to manage a system with this level of security. In most cases, however, even in-house solutions fall short of the security measures available in cloud environments regarding availability and usability.

6. Business Continuity and Disaster Recovery

Most cloud-based data storage decouples from servers, allowing storage to be synchronously replicated to multiple locations without sacrificing processing power or persistence needs. Backups and snapshots are automatically created and can be sent to other locations. Some providers use their own multi-site backup networks to increase availability, reduce latency and improve security and reliability. Reduce data loss during recovery. Thanks to increased processing power, replicated data from multiple sites is quickly available for disaster recovery, with uptime ranging from a few moments to a few minutes. Depending on the system, some data can be retrieved immediately, while others are loaded in the background. Local data stores cannot provide such services.

In Summary

Cloud data warehousing can provide organizations with the following benefits: increased productivity and reduced costs associated with running and maintaining internal teams. However, the challenges associated with implementing and scaling cloud data warehouses should not be underestimated, as these benefits do not come for free. Organizations need to develop processes and structures for cloud storage and understand new usage and pricing structures.

A team of service experts can help companies implement this. They can also help design, manage and plan cloud data warehouses. They can help you make the most of your digital transformation.

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