What is a Data Warehouse and Why Does It Matter To Your Business?

A data warehouse is a large collection of business data used to help an organization make decisions. It is the foundational component of business intelligence efforts. Learn how data warehouses work, how they are different from databases or data marts, why they are moving to the cloud, and more.

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Cloud Integration 101

Cloud integration lets businesses connect data hosted on local servers to cloud-native data stores and applications. Cloud integration also provides a path to data analytics platforms, CRM systems, and other applications hosted by third-party providers. These include data warehouses such as Google BigQuery, Snowflake, Salesforce, AWS, and Microsoft Azure. 

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Data Lake vs Data Warehouse

Data lakes and data warehouses are both widely used for storing big data, but they are not interchangeable terms. A data lake is a vast pool of raw data, the purpose for which is not yet defined. A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose.

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What is a Data Mart?

A data mart is a subject-oriented database that meets the demands of a specific group of users. Data marts accelerate business processes by allowing access to information in a data warehouse or operational data store within days as opposed to months or longer.

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How to Test a REST API?

With API Tester, you can visually create very complex scenario-based API tests following Test Driven Development (TDD) and even Behaviour Driven Development (BDD) principles.

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How to Build Microservices with REST APIs?

Microservices architecture scalability is great for enabling support for a wide range of platforms and devices as web, mobile and IoT backend can be deployed, fixed, and updated independently of each other.

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What is a Data Source?

A data source is anything which produces digital information, from the perspective of systems which consume this information.

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