Step 1: A brief introduction on the Oracle Analytics Cloud platform

Oracle Analytics Cloud (OAC) is not the first effort to shift the power of their Business Intelligence offering to Cloud, because BI Cloud Service (BICS) and Data Visualization (DVCS) already existed.

Although these solutions remain available, OAC is announced as a separate offering – a complete suite of Cloud based Oracle Analytic tools. With OAC, customers are now able to host their own collaborative analytics application in the Cloud.

Some customers may prefer to keep data sources on-premise, while the dashboards and reports are shifted to the Cloud. In this situation, a remote data connector will provide on-prem connectivity. You can even shift your existing OBIEE data model to cloud. Existing OBIEE solutions in the cloud can be ported to OAC smoothly.

Building a new analytics application is also easy! There are plenty of data sources which are supported.

Once you are connected, you can easily transform your data, create a model on top of it, and develop analyses, dashboards, and visualization projects based on your data.

How OAC fits our needs

Now let’s focus on some key points, to see how OAC will fit our needs.

Server Access: A customer has access to the server through SSH.

Managed by the Customer: Contrary to BICS and DVCS, all backup / restore, patching / upgrade, network and security configurations are managed by the customer. CPU and memory allocation in OAC is based on customer decisions.

Day by day: Included in the enterprise version, Day by day is a new mobile application, which delivers personalized analytics. It automatically learns what users are interested in, and with whom they share.

Data Modeling: With a built-in thin client for data modeling, customers can maintain their data models in the Cloud. Some may prefer to lift and shift their existing RPD as well.

Data Preperation: With the Data Flow tool, basic ETL capabilities are made available in the Cloud. Multiple data sets can be combined, and users can easily define transformations and aggregations on their data sets.

Step 2: Getting started by creating an OAC Server Instance

You might be thinking “well let’s start”. And that’s exactly what we will be doing in Step 2. Click the button below to go to Step 2: Getting started by creating an OAC Server Instance

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Contact

Oguz Eren

Data & Analytics Consultant