Datawarehouse Architect

Oracle Business Intelligence Enterprise Edition (OBIEE) and Oracle Analytics Cloud (OAC) are both business intelligence (BI) platforms developed by Oracle. However, there are some key differences between the two platforms. Deployment OBIEE is an on-premises BI platform, while OAC is a cloud-based BI platform. This means that OBIEE must be installed and maintained on your organization's own servers, while OAC is hosted and managed by Oracle in the cloud. User experience OAC has a more modern and user-friendly interface than OBIEE. It also has a wider range of self-service features, making it easier for business users to create and share insights without relying on IT. Data visualization OAC has a wider range of built-in visualizations than OBIEE, as well as the ability to create custom visualizations. OAC also has more advanced data visualization capabilities, such as interactive charts and graphs. Data preparation OAC has a more powerful data preparation tool than OBIEE. This tool ...

Migrating to Oracle Analytics Cloud (OAC) offers a range of benefits for organizations seeking to enhance their data analytics capabilities and decision-making processes. These benefits include: 1. Reduced IT Costs and Infrastructure Burden: OAC's cloud-based infrastructure eliminates the need for organizations to maintain and manage on-premises hardware and software, reducing IT costs and freeing up resources for other strategic initiatives. 2. Enhanced Scalability and Agility: OAC's elastic cloud architecture enables organizations to scale their analytics capabilities seamlessly as their data volumes and user demands grow, ensuring they always have the resources they need. 3. Simplified Deployment and Maintenance: OAC's cloud-based deployment eliminates the complexities associated with installing, configuring, and maintaining on-premises BI solutions, reducing time to value and simplifying ongoing maintenance. 4. Improved Data Security and Governance: OAC ...

Power BI and Oracle Analytics Cloud (OAC) are both powerful business intelligence (BI) platforms that can help you visualize and analyze your data. However, there are some key differences between the two platforms that may make one a better fit for your organization than the other. Ease of use Power BI is generally considered to be easier to use than OAC. It has a more intuitive interface and a wider range of self-service features, making it a good choice for users who are not familiar with BI tools. OAC is more powerful and offers more customization options, but it can also be more complex to learn and use. Data visualization Power BI excels at data visualization. It has a wide range of built-in charts and graphs, as well as the ability to create custom visualizations. OAC also has a good selection of visualizations, but they are not as customizable as those in Power BI. Scalability Power BI is a cloud-based platform, so it can easily scale to meet the needs of your organization. OAC ...

Operators Operators are used to combine expression elements to make certain types of comparisons in an expression. Operator Function in an Expression         +  Plus sign for addition.  -  Minus sign for subtraction.  *  Multiply sign for multiplication.  /  Divide by sign for division.  ||  Character string concatenation.  (  Open parenthesis.  )  Closed parenthesis.  >  Greater than sign, indicating values higher than the comparison.  <  Less than sign, indicating values lower than the comparison.  =  Equal sign, indicating the same value.  <=  Less than or equal to sign, indicating values the same or lower than the comparison.  >=  Greater than or equal to sign, indicating values the same or higher than the comparison.  <>  Not equal to, indicating values higher or lower, but not the same. AND AND connective, indicatin...

Oracle Analytics Cloud (OAC) consists of the following components: Data Visualization: This component allows users to create interactive and visually appealing data visualizations, including charts, graphs, maps, and dashboards. It provides a user-friendly interface for exploring and analyzing data visually. Data Preparation: Data preparation tools in OAC assist users in cleaning, transforming, and enriching their data before analysis. These tools help ensure that the data is accurate and ready for use in visualizations and analyses. Data Flows: Data flows enable users to create ETL (Extract, Transform, Load) processes to integrate and transform data from multiple sources. Users can design data flows visually, allowing for complex data integration tasks without writing code. Data Exploration: This component provides capabilities for ad-hoc data exploration, allowing users to delve into the data, identify patterns, and generate insights. It supports features like filtering, aggregatio...

The key benefits of using Oracle Analytics Cloud (OAC) include: Comprehensive Analytics Platform: OAC offers a comprehensive set of analytics tools and features, including data integration, data visualization, advanced analytics, and self-service capabilities, all within a single platform. This integrated approach streamlines the analytics process and provides a cohesive environment for users. Improved Decision Making: By analyzing data from various sources and gaining actionable insights, organizations can make more informed and strategic decisions. OAC empowers users to explore data, identify trends, and uncover patterns, enabling data-driven decision-making at all levels of the organization. Self-Service Analytics: OAC enables business users to create reports, dashboards, and visualizations without heavy reliance on IT or data experts. This self-service approach allows users to explore data, generate insights, and answer ad-hoc questions independently, increasing productivity and ...

Oracle Analytics Cloud (OAC) is a fully managed, cloud-native analytics platform that provides a complete set of capabilities for data exploration, visualization, reporting, and collaboration. OAC is built on a high-performance platform with flexible data storage, and it supports a wide range of data sources, including on-premises databases, cloud databases, and SaaS applications. OAC offers a variety of features and benefits, including: Comprehensive analytics capabilities: OAC provides a complete set of capabilities for data exploration, visualization, reporting, and collaboration. This includes features such as interactive dashboards, self-service analytics, and natural language processing (NLP). Scalability and flexibility: OAC is a cloud-native platform that is designed to scale and flex to meet the needs of any organization. It can be deployed in minutes and scaled up or down as needed. Security and governance: OAC is a secure and governed platform that meets the highest standard...

The Oracle Analytics Cloud (OAC) architecture is a multi-tier architecture that consists of the following layers: Presentation layer: This layer provides the user interface for OAC. Users can access OAC through a web browser or a mobile app. Application layer: This layer contains the business logic for OAC. It is responsible for processing user requests, executing queries, and generating visualizations and reports. Data layer: This layer contains the data that is used by OAC. The data can be stored in a variety of sources, including on-premises databases, cloud databases, and big data platforms. The OAC architecture is designed to be scalable and secure. It can be scaled to meet the needs of businesses of all sizes, and it uses a variety of security features to protect user data. Here is a more detailed overview of each layer in the OAC architecture: Presentation layer The presentation layer provides the user interface for OAC. Users can access OAC through a web browser or a mobile ...

Oracle Analytics Cloud (OAC) is a cloud-based self-service business intelligence (BI) platform that provides users with a wide range of capabilities for data preparation, visualization, analysis, and reporting. OAC is designed to help users of all skill levels to make better decisions faster by providing them with the insights they need to understand their data and identify trends and patterns. OAC offers a variety of features and functionality, including:Data preparation tools for cleaning, transforming, and loading data from a variety of sources A wide range of visualizations, including charts, graphs, and maps, for exploring and understanding data Powerful analysis tools for identifying trends and patterns in data Reporting tools for creating and sharing reports with others Collaboration features for working with others on data analysis and reporting OAC is a powerful and versatile BI platform that can be used by a wide range of businesses and organizations. It is a good choice for ...

Beginner What is Oracle Analytics Cloud (OAC)? What are the key benefits of using OAC? What are the different components of OAC? What is the difference between OAC and Oracle BI Server? What are the different ways to access OAC? What are the different types of data that can be analyzed in OAC? What are the different types of visualizations that can be created in OAC? What are the different types of dashboards that can be created in OAC? What is the difference between a story and a dashboard in OAC? What is the difference between a logical and a physical model in OAC? Intermediate What are the different types of data sources that can be connected to OAC? How do you create a data source in OAC? How do you create a data model in OAC? What are the different types of measures and dimensions in OAC? How do you create a calculated measure in OAC? How do you create a calculated dimension in OAC? What are the different types of filters in OAC? How do you create a filter in OAC? What are the dif...