Why it is important to have a Cloud Data Warehouse?
Cloud Data warehouse is critical for business growth today. The aggregate data from multiple sources can be analyzed and acted upon. Their ability to quickly process massive data allows leaders to implement data-based decisions confidently.
However, nearly two-thirds of professionals recently polled describe their data warehouse solution management as ‘difficult’ or ‘very difficult.’ Businesses consider cloud-based data warehouses the most efficient solution as the data complexity and volume continue to evolve.
What is a Cloud Data Warehouse?
A cloud data warehouse is a database hosted as a managed service in the public cloud and is designed for scalable business intelligence and analytics. Data warehouses have been a mainstay of enterprise analytics and reporting for decades.
A cloud-based data warehouse can help to reduce complexity while maintaining the agility, security, and performance that data analysts are becoming accustomed to. Businesses are shifting to cloud-based data warehouses for a variety of reasons. We have discussed a few of them below.
Top 10 benefits of having a Cloud Data Warehouse
1. Handle big data
Cloud-based data warehouses enable storage to grow independently of computing resources. It allows for the ingestion of large volumes of data without the associated compute costs.
A cloud-based data warehouse also will enable organizations to scale in minutes based on fluctuations in data growth. APIs and dashboards make it simple to access controls. Consequently, there is no need for organizations to pre-plan or worry about running out of space.
2. Accommodate end users
A cloud-based data warehouse supports ad-hoc and parallel queries on the same data set without penalties. It also diagnoses the performance of existing workloads, allowing end-users to explore the data with very few restrictions.
Furthermore, simplified data ingestion mechanisms and ELT processing relieve users of the burden of maintaining complex ETL pipelines. Users can run multiple queries against terabytes of data simultaneously and receive results in seconds.
3. Seamless self-service capabilities
Data is required for stakeholders to make evidence-based decisions. One of the most common complaints among business users is a lack of data visibility.
On the other hand, Cloud data warehousing uses resource pooling to share computing power, networks, and storage.
4. Improve data security
For data at rest, cloud-based data warehouses use hardware-accelerated AES-128 or higher encryption. All data in transit between computing resources, regions, and services is TLS encrypted.
Most cloud-based data warehouses support virtual private networks with connectivity to on-premise networks. With this level of security infrastructure, most organizations would require dedicated in-house teams. Organizations could not match the level of sophistication even with an in-house team.
5. Improve disaster recovery
To support asynchronous storage replication, most cloud-based data warehouses split storage. As a result, they do not impact the existing compute resources and queries. Some vendors offer their private backend networks to increase reliability and security.
They also improve availability with little to no data lost during the recovery process. Specific systems allow for immediate querying of a subset of data while the rest is seamlessly loaded in the background.
6. Low cost of ownership
One reason cloud services and data warehouses are becoming popular is their associated low cost. A traditional data warehouse necessitates costly hardware, time-consuming upgrades, ongoing maintenance, and outage management.
These data warehouses become more expensive as companies collect more data volumes. On the other hand, Cloud warehouses enable data warehouse teams to purchase as little or as much compute power and storage as they require.
7. Improved speed & performance
Cloud warehouses keep up with the growing number of data sources. Businesses must connect ERP, CRM, social media, support, and marketing data to make data-driven decisions.
It also has to maintain its speed and performance. They are also fast and can handle multiple data streams. With various servers, they can simultaneously serve various business areas in different geographies.
8. Enhanced data storage
IT teams used to forecast their compute power and storage requirements up to three years in advance. Buying too much or too little storage costs companies a fortune.
Business stakeholders can utilize their mini-warehouse without negatively impacting storage costs. Additionally, cloud storage providers often offer a “pay-as-you-go” model. Hence, if a business has fewer nodes, it can increase or decrease its subscription.
9. Improved access & integration
Cloud data warehouse integrations can support various data types, unlike on-premises data warehouses. Similarly, they can support multiple querying languages, allowing businesses to select from a diverse pool of developers to showcase better query performance.
Its hospitable nature makes integrating data sources easier for database administrators. They can adjust to volume fluctuations based on your needs, increasing the accuracy of business intelligence.
10. Leveraged cloud elasticity
The elasticity of cloud warehouses is another plus. Enables administrators to precisely match infrastructure requirements to the appropriate number of resources.
This capability is beneficial for businesses that experience cyclical demand fluctuations. When demand is high, database teams can add more capacity, but storage and compute power can be reduced to save companies money when demand is low.
Is It Time To Make The Switch To A Cloud Data Warehouse?
The modern data warehouse is evolving. Traditional schemas and ETLs/ELTs must be updated for modern columnar data warehouses, frequently inserted, and read-only. Data warehouses are often less expensive, faster, and can handle more users than in previous years.
Data warehouses have improved by leaps and bounds due to design improvements and a push for more data-driven decisions. Obtain information from your application databases, third-party sources, and data warehouses. So that data scientists and analysts can begin using the information.
Begin Benefiting From A Cloud-Based Data Warehouse
Customer data is growing exponentially and shows no signs of slowing. On-premises data warehouses are becoming obsolete as a result. They can also effectively store large amounts of data.
Besides lowering costs, they enable users to access and safeguard precious data while maintaining processing speeds. Frees up IT resources for more exciting business intelligence projects.
Companies require a cloud platform that seamlessly integrates new data sources while maintaining data integrity to provide the best business intelligence. Thinklayer designs software suites specifically for fast and reliable data integration.
We maintain data integrity throughout the collection, governance, transformation, and storage processes. Furthermore, users throughout the organization share a common repository, which simplifies monitoring and deployment.
We provide the most accurate business intelligence and data warehouse solutions today. For more information call us.