When it comes to considering a cloud data warehouse, it can be a daunting task to ensure you’re picking a solution that will be performant, cost-effective, secure, and scalable. With several options available, each with its own unique set of features, valuable time can be spent carefully considering all the details of whether your choice is going to be optimal for your business.
What is a Cloud Data Warehouse?
A cloud data warehouse is an online centralized data repository, housing data from one or more disparate sources. Having all of this data in one location is extremely important for data analytics, machine learning, and artificial intelligence as it allows for data sources that would normally be siloed to be analyzed together in order to obtain valuable insights.
Data warehouses are optimized for analytical usage, meaning they can run highly complex queries much faster than their on-premise counterparts.
Why Choose a Cloud Data Warehouse?
The first major reason to choose a data warehouse is because there is no physical hardware to maintain. Unlike an on-premise data warehouse, we can eliminate all hardware, allowing us to implement and scale the warehouse to whatever size we need for handling big data.
A data warehouse is also a great choice if you are already using any subset of cloud computing resources from providers like Amazon Web Services, or Google Cloud Platform. These cloud providers are designed so that most, if not all, resources within them integrate with the data warehouse associated with the platform.
Data warehouses are built to handle big data analytics. These warehouses are designed to outperform on-premise comparatives in terms of performance, security, and ease of use. Unlike transactional databases, data warehouses are designed to handle complex analytical queries and large aggregates. This allows for them to be the ideal connection for business intelligence tools like Sisense or Looker, which are constantly running complex queries from end-users who interact with the dashboards connected to this data.
Benefits of a Data Warehouse
With a data warehouse in place, you can run all of your business intelligence tools, SQL queries, and data science projects without having to worry about interrupting any kind of transactional database that may be supporting production systems.
A data warehouse lets transactional databases focus on what they’re good at: processing transactions. Meanwhile, the data warehouse can focus on what it’s really good at, processing massive amounts of data very quickly.
Untitled leverages our own proprietary methodology, utilizing infrastructure and frameworks as a service, allowing partners to rapidly deploy modern data stacks. You pick the tools, Untitled handles the rest.
Learn more about cloud data warehousing with Untitled by following the link below.