Cloud Database is not new. There are several options from various technology vendors to choose from. However, Oracle Autonomous Data Warehouse is a perfect fit for enterprise business analysts, and here is why:
- Incredibly easy to use as there are no IT skills required to create a Data Warehouse Database and start loading it with data. Since it’s hosted on Oracle Public Cloud, Oracle manages all infrastructure aspects of it. This includes securing the data, security the network communication, and encrypted data transfer back and forth between you and the Data Warehouse. Except for getting access to your sources of data, there is no need to involve a network engineer or a database administrator at any point.
- ADW leverages standard and common SQL, so there is no need to learn new skills.
- Unlike NoSQL databases, ADW is great for running already existing and complex SQL queries.
- Mind you though that the simplicity of ADW is only in how it’s used. With ADW, we still get all the power of the Oracle Database and Exadata, without the need to know anything about them. But if interested, ADW provides a window to look through and see detailed statistics and usage metrics related to sophisticated operations going on within. This is a simple-to-use technology that under-the-hood relies on machine learning to render it autonomous.
- Backups are automatic. And in case you need to restore the whole database from a backup, it’s as easy as clicking a button.
- Automatic scaling enables you to start small, with a lower cost, but also be able to scale up when more computing power is needed. For example, if you start doing machine learning with Oracle Analytics against ADW, you may need more power on the database side. ADW automatically scales up its processing power consumption to meet your needs. Or if you start a single person task but later want to enable access to several other colleagues, ADW scales up easily to accommodate new users and thus avoid an overload.
- Interface with your data and perform data transfer and preparation all while using drag and drop Data Flows and Oracle Analytics. And if you’re savvy in SQL queries, you can also do that through a SQL Client tool.
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