Choosing a Cloud Data Warehouse

If you’re anything like most companies your data warehouse is the primary hub for reporting and business analytics. You also likely populate massive quantities of unstructured and structured data into your data see this site lake to support machine learning and artificial intelligence (AI) use cases. It’s time to upgrade to a modern data platform. With an outdated infrastructure and increasing costs, it’s time to think about the cloud data platform.

You must take into account the current needs of your business and long-term plan when selecting the best solution. The most important thing to consider is architecture, platform and tools. Are an enterprise-level data warehouse (EDW) or cloud data lake best meet your needs? Make use of extract, transform and loads (ETL) or a source-agnostic layer of integration? Do you intend to create your own cloud-based data warehouse or use an managed service?

Cost Pricing: Review pricing models and compare factors such as storage and compute to ensure that your budget is in line with your usage. Choose a provider with an appropriate cost structure that is compatible with your short-, middle-and long-term data strategy.

Performance: Consider the volume of data currently and in the future and complexity of queries to determine the best system to support your data-driven strategies. Choose a vendor who offers a flexible data model that is able to adapt to your business growth.

Programming language support: Make sure that the cloud software for your data warehouse will work with your preferred coding language particularly if you are planning to use the software for testing, development, or IT projects. Choose a vendor that also offers data handling solutions, such as data profiling, discovery, data compression and efficient data transmission.