Business Intelligence Information Storage Facility Developer – Everything about your business past and present is recorded as bits of data. Sales accounts, human resources, company finance, sales books – you name it. The number of business areas where the data comes from can be overwhelming. However, as a business, you may want to extract value from this information rather than simply collecting it. Be thankful there is a computer for everything.
Business Intelligence (BI) is a set of technologies and methods for turning business information into reports and insights. Established in the early 80’s and developed over time as an independent firm, BI gave birth to many jobs and businesses. We have explained the role of an ETL developer. This resource uncovers the specifics of BI data structures, so we recommend you read it to gain a deeper understanding of the topic.
Business Intelligence Information Storage Facility Developer
Today we will discuss the role of a BI developer, their responsibilities, background, and skills. We define the difference between the other standard tasks involved in building BI systems and the specific cases where you need to hire a BI developer.
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A business intelligence developer is an engineer responsible for developing, deploying, and maintaining BI connections. These include query tools, data visualization and interactive dashboards, reporting, and data modeling tools. However, when we talk about business intelligence, we need to explain more about this technical concept.
The entire BI system can be divided into its internal part and the actual user interface to interact with the data. Why is this division so important? Depending on the complexity of the system, a typical BI platform has 3 layers: a data source layer, a warehouse layer, and an information layer. They should be broken down:
Where the raw data is stored. Some of your databases, cloud storage, and private files are filled with unstructured data. Data sources are the starting point of any BI system because they connect all the following data integration tools, storage, and business intelligence UI.
It includes all the technologies that manage warehouse operations. These are unified storage for all enterprise data and tools that perform Extract, Transform, and Load (ETL). Data is moved to a single database for several reasons:
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So, the data source and warehouse platforms are considered to be the infrastructure of the BI system. Creation and maintenance are areas of responsibility for database/ETL developers and data analysts/architects.
Is the last place for data. This layer is the real BI interface that allows users to access data, pull it from the warehouse for analysis. Analysis capabilities may vary depending on the business requirements for a particular system. But in most cases, SQL queries and simple data visualization tools.
All software components that make up the information layer are the responsibility of a business-savvy developer. Within the scope of the business intelligence program, the BI developer takes on engineering, operational, and strategic planning responsibilities. So, this person can work as a project leader or manager.
Since we have defined the role of the BI developer in the context of the entire BI platform, let’s look at the responsibilities of this person.
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The scope of the project shows the degree of opportunity for a job, because engineers with similar technologies and domain knowledge can be transferred. Developing BI relationships requires deep experience in software engineering, databases, and data analysis. So, in part, data engineers with a software development background and experience with BI can lead the work of interface development.
However, business intelligence tools may include many industry-specific functions. BI developers also understand the specifics of the business domain: This allows them to understand business requirements, implement the right data models, and data visualization solutions. So, the responsibilities of a BI developer are:
Business intelligence is tied to the business domain and requirements of a specific organization to analyze data. The process from company to company BI tools can vary greatly. Consider two points:
In both cases, the final product will be a BI platform. But, in the first case, there are more options for data analysis, because there are many more areas to analyze. The data itself needs to be understood, because it can be given to conditions such as x-ray, MRI or ultrasound.
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This is the difference in understanding the business requirements for the platform that a BI developer must understand. Because they drive a lot of media input, its features, and other functions.
After collecting and documenting the business requirements, many data engineers / ETL / front-end developers are in charge of translating them into technical tasks. The BI developer in this case is responsible for specifying tasks that cover the user interface and reporting capabilities. To elaborate, the BI developer describes whether the user interface is an interactive dashboard with a drag-and-drop interface or a collection of fillable fields and data objects, whether the system needs data visualizations and how the user. interaction with itself.
All these decisions are changed in real-time for the ETL development team, as well as the BI team (front-end and back-end). The development phase can be managed by a project manager or a BI developer.
As mentioned, a BI developer can play a technical leadership role within a development team or can share developer roles. But the BI developer can make strategic decisions about the developed software and manage the entire process to its release. Testing and debugging is also the responsibility of the BI developer in the pre/post launch phases.
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Reporting is a specialized job that doesn’t focus on engineering, but rather working with databases and data models. Using the BI interface, users query the database to retrieve information. This information can then be formatted in visual form (say, a pie chart), or a text summary based on selected features.
While the user configures what to drag and how to format it, the software is responsible for finding this information and understanding the data it needs. This can be done with the help of data modeling – a structure that stores data in a database.
Data models are defined and applied to the database by data analysts and ETL developers. Instead, the BI developer is the one who provides the reporting requirements, so it becomes the deciding factor for the future model. These models represent the objects in the database and the relationships between them, thus determining how to query the data. And that’s part of BI developer expertise.
Of course, the BI developer will also manage how to query the data, if necessary, and how to create reports.
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There are many ways to create unified storage for all corporate information. We discussed these approaches in a separate article on warehouses. Although the architecture of the data warehouse does not directly influence the reports, a BI developer may be involved in the design process.
This topic goes hand in hand with the previous one. The BI developer can enter to write the data structure of the warehouse, as well as meta-data (additional information about the data). These documents are used in the development process and help make decisions about the required reporting options.
Any system should have technical documentation. Although the BI developer does not take users on board the platform and show them how to use it, they have control over the guidance as documentation. This document is intended for both advanced and technical users. employees, e.g. API documentation, known technical issues, etc.
BI developer skills vary by project. In some cases, the BI developer can have a little interaction with the software engineer and act as a SQL expert to prepare the right query. But for complete clarity, we list all the skills that fit typical responsibilities.
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Experience with BI tools. First and foremost, every BI developer must have experience developing BI client products or configuring existing ones. To build a custom BI product, knowledge of Python, scripting languages, and experience with data visualization libraries are mandatory. Strong understanding of all underlying infrastructure: This includes understanding of data integration tools, ETL/ELT processes, data orientation, and warehouse architecture.
If we talk about a product that uses a BI solution from a customer, a BI developer must know its corresponding technology stack. These depend on the customer, but the most popular solutions related to data pipelines, reports and database operations are Amazon products (such as QuickSight), the Hadoop platform or Apache technologies ( such as Apache Superset).
DB/DBA background. The main reason a BI developer should know how to manage databases is that the main concern is SQL/noSQL queries. BI systems require working with databases, data models, or data distribution across multiple databases.
BI developers can also be involved in designing and building tools for online analytical processing (OLAP cubes). This is an advanced option for multidimensional analysis using non-linear databases.
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Data analysis background. Although a BI developer is not required
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