Skip to main content

Difference between oracle oac and power bi

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 is available as both a cloud-based and an on-premises solution, but the on-premises version may not be as scalable.


Security


Power BI is a Microsoft product, so it benefits from the same security infrastructure that Microsoft uses to protect its other products. OAC is also a secure platform, but it may not be as secure as Power BI for organizations that have strict security requirements.


Cost


Power BI has a free tier, as well as several paid tiers. OAC is also available in several editions, with pricing based on the number of users and features required.


Overall

Difference between OAC and power bi



Power BI is a good choice for organizations that are looking for an easy-to-use BI platform with strong data visualization capabilities. OAC is a good choice for organizations that need a more powerful and customizable BI platform.


Here is a table that summarizes the key differences between Power BI and OAC:

Comments

Popular posts from this blog

Contact Me

Do You have any queries ?                   If you are having any query or wishing to get any type of help related Datawarehouse, OBIEE, OBIA, OAC then please e-email on below. I will reply to your email within 24 hrs. If I didn’t reply to you within 24 Hrs., Please be patience, I must be busy in some work. kashif7222@gmail.com

Top 130 SQL Interview Questions And Answers

1. Display the dept information from department table.   Select   *   from   dept; 2. Display the details of all employees   Select * from emp; 3. Display the name and job for all employees    Select ename ,job from emp; 4. Display name and salary for all employees.   Select ename   , sal   from emp;   5. Display employee number and total salary   for each employee. Select empno, sal+comm from emp; 6. Display employee name and annual salary for all employees.   Select empno,empname,12*sal+nvl(comm,0) annualsal from emp; 7. Display the names of all employees who are working in department number 10   Select ename from emp where deptno=10; 8. Display the names of all employees working as   clerks and drawing a salary more than 3000   Select ename from emp where job=’clerk’and sal>3000; 9. Display employee number and names for employees who earn commission   Select empno,ename from emp where comm is not null and comm>0. 10

Informatica sample project

Informatica sample project - 1 CareFirst – Blue Cross Blue Shield, Maryland (April 2009 – Current) Senior ETL Developer/Lead Model Office DWH Implementation (April 2009 – Current) CareFirst Blue Cross Blue Shield is one of the leading health care insurance provided in Atlantic region of United States covering Maryland, Delaware and Washington DC. Model Office project was built to create data warehouse for multiple subject areas including Members, Claims, and Revenue etc. The project was to provide data into EDM and to third party vendor (Verisk) to develop cubes based on data provided into EDM. I was responsible for analyzing source systems data, designing and developing ETL mappings. I was also responsible for coordinating testing with analysts and users. Responsibilities: ·          Interacted with Data Modelers and Business Analysts to understand the requirements and the impact of the ETL on the business. ·          Understood the requirement and develope