Oracle Business Intelligence Hardware Sizing

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Oracle Business Intelligence Hardware Sizing – AWS services: Amazon EBS; Amazon EC2; Amazon EFS; AWS CloudTraining; Elastic Load Balancing (ELB); AWS Certificate Manager (ACM)

This pattern shows how to migrate Oracle Business Intelligence Enterprise Edition 12c from on-premises servers to the AWS Cloud by using AWS CloudFormation. It also describes how you can use other AWS services to implement Oracle BI 12c components that provide high availability, security, flexibility and the ability to dynamically scale.

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For a list of best practices related to migrating Oracle BI 12c to the AWS Cloud, see the Additional Information section of this pattern.

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Note: It is a best practice to perform several test migrations before transferring your existing Oracle BI 12c data to the cloud. These tests help you strengthen your migration approach, identify and fix potential issues, and more accurately estimate requirements.

Collect information about the JDBC data sources and the drivers of your source environment for each database engine that uses them.

Create a target architecture design document. Make sure you use the information you gathered when assessing your source environment to inform the design document.

Note: It is a best practice to create modular CloudFormation templates for each Oracle BI 12c tier, rather than one large template for all your resources. For more information on CloudFormation best practices, see 8 Best Practices When Automating Your Deployments with AWS CloudFormation on the AWS Blog.

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For more information, see OBIEE 12c: How to do a silent installation? on the Oracle Support site. You need an Oracle Support account to view the documentation.

Deploy your Oracle BI 12c web and application tiers and modules using the CloudFormation templates you created.

Stage the required software in a location accessible to the Amazon EC2 instances. For example, you could stage the software in Amazon S3 or another Amazon EC2 instance that would be accessible to your web and application servers.

Create Oracle BI 12c schemas by running the Oracle Repository Creation Utility (RCU) against a new Amazon RDS for Oracle database instance.

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To synchronize the databases, you can either use an Oracle Data Pump Refresh or use an AWS DMS Change Data Capture (CDC).

Update the Oracle BI 12c URLs on your internal DNS server so that they point to the new AWS installation.

The following is a list of best practices related to migrating from Oracle BI 12c to the AWS Cloud.

It is a best practice to host Oracle BI 12c database schemas on an Amazon RDS for Oracle instance. This instance type provides cost-effective and resizable capacity while automating administration tasks such as hardware provisioning, database setup, patching, and backups.

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Memory optimized Amazon EC2 instances are often well suited for Oracle BI 12c servers. Whichever instance type you choose, make sure that the instances you provide meet the memory usage requirements of your system. Also, make sure you configure a sufficient WebLogic Java Virtual Machine (JVM) heap size based on the available memory of your Amazon EC2 instance.

I/O plays an important role in the overall performance of your Oracle BI 12c application. Amazon Elastic Block Store (Amazon EBS) offers different storage classes optimized for different workload patterns. Make sure you choose an Amazon EBS volume type that fits your use case.

You can meet this shared storage requirement by using Amazon EFS, which provides a scalable, fully managed elastic Network File System (NFS) file system.

Amazon EFS has two throughput modes: Provisioned and Bursting. The service also has two performance modes: General Purpose and Max I/O.

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To fine-tune performance, start by testing your workload in General Purpose Performance mode and Provisioned throughput mode. Doing these tests will help you determine if these baseline modes are sufficient to achieve your desired level of service.

It is a best practice to deploy Oracle BI 12c components across multiple Availability Zones to protect these resources in the event of an Availability Zone failure. The following is a list of availability and disaster recovery best practices for specific Oracle BI 12c resources hosted in the AWS Cloud:

The elasticity of the AWS Cloud helps you scale applications either horizontally or vertically in response to workload.

To scale your application vertically, you can change the size and type of Amazon EC2 instances running your Oracle BI 12c components. You do not need to review copies at the beginning of your deployment and incur unnecessary costs.

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Amazon EC2 Auto Scaling helps you scale your application horizontally by automatically adding or removing managed servers based on workload requirements.

The following is a list of backup and recovery practices for specific Oracle BI 12c resources hosted in the AWS Cloud:

The following is a list of best security practices in AWS services that will help you protect your Oracle BI 12c applications in the AWS Cloud:


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The global market for business intelligence software reached 12.2 billion dollars in 2011, according to a Gartner report published earlier in 2012. The top five vendors in this space accounted for almost 75 percent of the entire world market. Leading among them were SAP with $2.8 billion in revenue and a 23.6 percent market share in 2011, and Oracle with $1.9 billion in revenue to claim 15.6 percent of the market.

With these two software giants so clearly dominating the BI segment, a logical question – and one we’ve seen before in the community – is how do SAP BusinessObjects and Oracle Business Intelligence Enterprise Edition (OBIEE) compare?

OBIEE is Oracle’s flagship BI offering. It is a comprehensive suite of BI applications built around the key acquisitions of Siebel Analytics and Hyperion Solutions. OBIEE is a cross-platform solution written in C++ and Java. It provides a unified system to perform a range of analytical functions, including interactive dashboards, ad hoc reporting, enterprise and financial reporting, real-time predictive intelligence, disconnected analysis, and more.

OBIEE contains a number of component applications. The foundation of the system is the Oracle Business Intelligence Server, a scalable platform to provide data access and powerful calculations in an integrated web environment to users across an entire enterprise. Its unified architecture delivers a consistent experience across components that include: Oracle BI Server, Oracle BI Answers, Oracle BI Interactive Dashboards, Oracle BI Delivers, Oracle BI Disconnected Analytics, Oracle BI Publisher, and Oracle BI Briefing Books, and Hyperion Interactive Reporting, Hyperion SQR production reporting, Hyperion financial reporting, and Hyperion web analytics.

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Like Oracle, SAP became a leader in BI mainly through strategic acquisitions. In 2007, SAP acquired French BI powerhouse Business Objects for nearly $7 billion, and today the BusinessObjects name is still attached to SAP’s flagship BI offerings.

SAP BusinessObjects is an easy-to-use, self-service BI suite that provides visibility into business data and performance in real time. Some of the key features are customizable reports, the ability to analyze multidimensional data sources in both web and Microsoft Office environments, predictive analytics, flexible dashboards, mobility and a flexible, scalable BI platform. From a feature perspective, BusinessObjects is quite robust, offering customers the ability to add modules as their needs change over time.

Both BO and OBIEE have been positioned in the Leader Quadrant of Gartner’s latest Magic Quadrant for Business Intelligence. In the Forrester Wave for Self-Service BI, released in Q2 of 2012, Forrester positioned SAP as a leader and Oracle as a strong performer.

In the self-service business intelligence segment, success depends on delivering fast performance, intuitive data visualization and strong data exploration capabilities, which is why in-memory database management is all the rage. In fact, Forrester cites SAP’s powerful in-memory DBMS as a differentiating factor for BusinessObjects. Where most DBMS engines are limited to analyzing “a few hundred” GB of data at any one time, “SAP now offers a highly differentiated combination of BusinessObjects Explorer with its top exploration and discovery capabilities and the SAP HANA in-memory appliance.”

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Oracle had previously lacked in the field of in-memory data analysis, but closed the gap according to Forrester with the release of its in-memory BI machine Exalytics.

On the other hand, Forrester researchers saw a need for more integration and standardization across the various component applications of SAP BusinessObjects. “Beyond self-services, SAP still needs to fine-tune its product-to-product integration to close various integration gaps in its large BI product portfolio, for example its need for a more common UI and improved reusability of components.” This is a particular area where OBIEE does very well.

There are some interesting takeaways about OBIEE and BO from Gartner’s Magic Quadrant for BI platforms. Despite the fact that the two providers lead the market, both have earned some rather negative comments. Oracle ranked “below average in functionality, support, and product quality,” and SAP ranked below average for “BI functionality … performance, cost, and roadmap confusion.” This begs the question of why they continue to have such a significant market presence, but that’s a whole other blog post.

Oracle customers tend to choose OBIEE over competitors mainly because of its broad functionality. These same customers rather

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