The cloud is a way to describe the ever-growing collection of servers, storage, and networking infrastructure that is used to support data and applications. The cloud also describes how people and businesses are increasingly using this technology to store and access data from anywhere. Data analytics has become a staple for businesses in a variety of industries as a way to glean valuable insights from company data. Keep reading to learn more about cloud data analytics and how to choose the best platform for your data analytics needs.
How do you choose a cloud analytics platform?
Cloud analytics analyzes data that is stored in the cloud. Cloud analytics allows businesses to store their data in a secure location and access it from anywhere in the world. There are several factors to consider when choosing a platform for your cloud analytics needs.
The first is scalability. The platform should be able to handle increases in traffic without crashing. It should also be able to grow with your business as you add more users and storage capacity.
The next factor is security. The platform should have robust security features, including firewalls, intrusion detection systems, and malware protection. It should also comply with industry-specific regulations, such as HIPAA for healthcare organizations and PCI DSS for retailers.
You also need to consider functionality and how much data you need to process. The platform should offer data visualization tools, reporting tools, and machine learning algorithms. It should also be easy to use so that non-technical users can easily extract insights from the data. Not all platforms can handle large amounts of data, so make sure the platform you choose can handle it.
The last is flexibility and the type of analytics you need. The platform should integrate with other systems seamlessly so that you can get maximum value from your cloud analytics investment. If you’re working with structured data, such as in a database, you’ll need a platform that offers robust support for SQL queries. If you have unstructured data, such as text or social media data, you’ll need a platform that provides powerful analytics tools and support for natural language processing.
Look at the features offered by the cloud platform.
Cloud platforms are often used for data analytics because they offer several beneficial features for storing data. Here is a comparison of some popular cloud platforms for data analytics:
Azure Data Lake: Azure Data Lake is a cloud computing platform for data analytics. It offers robust data pre-processing and cleaning capabilities and data integration and loading capabilities.
AWS Redshift: AWS Redshift is a cloud analytics platform for data warehousing and analytics. It also has a wide range of data visualization and reporting tools and supports a variety of machine learning and artificial intelligence algorithms.
Google BigQuery: Google BigQuery is a cloud platform for data warehousing and analytics. It offers cleaning, data integration, visualization, and loading capabilities and has various algorithms such as machine learning and artificial intelligence.
Decide on the type of cloud platform you need.
Regarding cloud-based data analytics, enterprises have a few choices: public, private, or hybrid clouds. The type of cloud you choose will depend on your organization’s needs.
Public clouds are operated by third-party providers and are typically the least expensive option. They’re also the quickest and easiest way to start data analytics. However, because they’re shared environments, public clouds can be less secure and may not offer enterprises customization options.
A private cloud is hosted by the enterprise in its own data center. This is a good option for organizations that need more control over their data and want to avoid sharing resources with other companies. Private clouds can be more expensive than public clouds, requiring more upfront planning and management.
A hybrid cloud combines elements of both a public cloud and a private cloud. They offer some of the benefits of both models—such as security and flexibility—and can be a good option for enterprises that want to take advantage of cloud computing but aren’t ready to commit.
After evaluating the various cloud platforms, companies should select the platform that best meets their needs and can help them achieve their data analytics goals.