Modern businesses are leveraging data analytics to make better business decisions, they will need to be capable of storing and querying large sets of structured, unstructured, and semi-structured information. Cloud data warehouses are the answer.
When selecting a cloud-based data warehouse, there are numerous aspects to take into account, including scalability, performance, data integration and security, compliance and cost. These aspects can help you choose a data warehouse that meets your business requirements. Compare them with expected workflows and scenarios.
Determine the volume of data your company anticipates every month, and find out if there is any seasonal patterns or spikes in data usage. This is crucial for formulating expected utilization and also help you decide on the amount of storage space and computing your business requires. It’s also important to think about whether you require real-time data analytics, which can increase the cost of your warehouse.
Consider how much engineering expertise your team is willing to dedicate to the startup and ongoing maintenance. If you choose a fully-managed DWaaS, the vendor will assume a majority of these duties. This could reduce your control, and might not be suitable to teams with limited resources.
Some companies are adopting an approach called a hybrid data warehouse that combines the security of a relational database as well as the governance of a traditional database with the flexibility of a data lake and the machine-learning capabilities. Databricks is a well-known option. This solution is built on open source technologies and has the additional benefit of being more accessible for non-technical users to use.
www.bigdataroom.info/how-to-secure-your-data-best-recommendations/