Enterprise Reporting In Business Intelligence – In the previous article, we gave an introduction to the End to End BI philosophy and introduced the various components that make up the Business Information System (BIDW). In this article we will focus on getting your Endpoint BI environment ready regardless of size and hardware and software. This article says you are a business consultant or an architect with a design authority or a BI program manager or a business owner who wants to quickly gain business insight. If you have a technical vision, decision making will be more beneficial if you work with Infrastructure Architects – talk to one in your community.
You should plan the size and get the hardware purchased for five specific environments. These are sandboxes, development environments, test systems and pre-production environments. Let’s take a brief look at the nature of this environment.
Enterprise Reporting In Business Intelligence
The sandbox is your playground; it’s a place where you can try to learn without the risk of disturbing the program sent to the box used to save the real thing. You can install and configure software, write code, and run and debug environments. During my time at BusinessObjects, many software engineers chose to use VMware for their sandboxes. They can set up and configure the BI environment and use it. Any corruption – no problem, just delete the corrupt environment, change it to a clean environment and get back to business. Make sure the sandbox has enough details to support the minimum requirements you plan to install.
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The other four environments are where you will manage the lifecycle of your Business Intelligence process. Your development and test environment is a scaled-down version of your production environment. Developers and systems must run the same software version with preproduction requirements and environments. But CPU and RAM are usually very low.
A development environment is a place where developers are allowed to develop and test their standards and content. It is not a place for so-called ‘ghost’ developers to try. Developers are people who find ways to develop themselves to ‘test’ and learn how things work. They will do this anonymously using public logins, backdoors or other people’s passwords! If you are a development ghost and you know you are, play in the sand and don’t risk ruining another hard development project for the environment. At this point, you will benefit if you have version control software.
After testing the components in the development environment, they are developed in the test system. This is the first time the test team has the opportunity to test the code. For a successful test, the test system must be stable. Any content found to be defective is returned to development for correction. When the content passes the tests, it is promoted before production. In the pre-production process, we expect a large amount of industrial power to be available for the first time. This information may need to be classified/anonymized depending on your industry. It is the location of the content, solution and system to be pressure, stress, measured volume (PSV) before release to the environment. It is a good place for DBAs to keep track of system queries and operations
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Your environment should mirror your pre-production environment and be secure. By committing the content to pre-production tests, you are saying that the code is fit to pass through the CAB and go into production. Pre-production testing is only acceptable if the pre-production environment is similar to that environment.
For the sake of brevity, the rest of this article will focus on the pre-production environment, but the concepts can be effectively applied to all four environments. Taking the pre-production environment as an example of our work, we will need to consider the application layer, data mart layer, ETL system, Business Intelligence platform, RDBMS, hardware and software. This means there are budget, market time, licensing, disk space and performance implications. You may also need to review contractual agreements with third-party data sources and any organizations that provide source data management systems. If your organization uses ODS or BCNF tables, you must also take other considerations into account. You should now make comparisons that will help you make informed decisions.
Our first preference is the BIDW, which is known as the destination point because this is where we will (usually) enter the information first. First, let’s look at the chart. This is where you get your information outside of BIDW, which is sort of a drop-in place. Remember that your source of business intelligence can be broad and include applications such as core systems and ODS. Your workload may consist of very large amounts of data. You need storage space if you need to save data in a file format, etc. before uploading to the stage. This may occur due to license, performance and contract limitations.
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There are three things to consider regarding the architecture and size of the proposed space. This includes inventory information and the status of your scheduled location, your permanent location, and your storage location. Transition data is the data sent to the ETL system for conversion and automation. You don’t want to lose the transition information because you may need to refer to it in the future. However, for ETL reasons, you don’t want to take an unnecessarily large amount of data passes to move the data into your persistent variable at the end. You have to make two decisions. The first is when you need to capture transient data and the second is when you capture your static data. Let’s say that for legal and regulatory reasons you decide to keep your data for five years. At the end of the period, you must delete or save the expired data. To make decisions, you need guidance and referrals from senior stakeholders.
It’s time to start counting. Here is an example of the ideas. A string column will be equal to four bytes. Now let’s say my storage table has sixty total integer type columns, that’s sixty times four equal to 240 bytes of data per. row. Now let’s say the source system generates 60,000,000 rows of data every night. That’s 60,000 * 240 = 14400000 bytes. Ok, now let’s say I want to keep the data in transit for seven days, that’s 14400000 * 7 = 100800000 bytes of data. Let’s change the GB. 100800000/1024/1024/1024 = 0.093877 GB. Let’s say I have 50 tables to store with similar sizes every night. That equals 0.093877 * 50 = 4.69 GB. Not much time by today’s standards. Now let’s calculate persistence. That’s 4.69 * 52 (weeks) * 5 (years) = 1219.4 GB or 1.2 terabytes of data. We have calculated data on the increasing burden for the next five years. You may also want to load historical data stored in your system. So you have to recalculate the years behind the data (history) you want to convey to business users.
So now I have an idea of the disk space I need to buy to prepare. Here, your Infrastructure can advise on the level of data storage on the SAN and other options that you should work within the mandate and standards set by the Enterprise Architecture.
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There are always more details to consider around these areas, but the things we’ve discussed form the basis of what you need to consider. There is no ‘one size fits all’, but there are patterns and patterns that repeat themselves over and over again. Your considerations now are purchasing, licensing and installing any/new RDMS software and purchasing any additional equipment to ensure the area is properly designed. In an ideal world this would already be defined in the Solution Architecture, but the reality is that BI Solution Architecture is often overlooked. If you design solutions with Power BI, or use Power BI with other web components, for use in a larger organization; How do you get started and what is the best way to ensure success? I started a series of 12 blog posts on this topic in July 2020. If you can check all the boxes in these 12 articles, you’re well on your way to mastering Power BI. Almost all the planned articles have been completed, but most of these articles are in the abyss of two years of history writing. I have attached the original text and submitted it
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