Business Intelligence Developer 1 Income Brand-brand New Orleans – Everything related to the past and present status of your business is recorded as page data. Marketing numbers, human resources, company budget, sales volume – you name it. The number of business domains that data comes from can be huge. However, as a business, you may be interested in extracting value from this data rather than collecting it. Thank goodness for software for everyone.
Business intelligence (BI) is a set of technologies and practices for transforming business data into actionable reports and visualizations. Founded in the early 80s and growing as a distinct industry over time, BI has created many roles and professions. We have already explained the role of the ETL developer. This material covers the main features of the BI data infrastructure, so we recommend reading it for a deeper understanding of the topic.
Business Intelligence Developer 1 Income Brand-brand New Orleans
Today we’ll discuss the role of a BI developer, their typical responsibilities, background, and required skills. We will also define the difference between the other standard roles involved in building BI systems and the specific situations that require hiring a BI developer.
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A business intelligence developer is an engineer responsible for developing, deploying, and maintaining BI interfaces. These include query tools, data visualization and interactive dashboards, custom reporting, and data modeling tools. However, when we talk about business intelligence, we need a more rigorous interpretation of this technological concept.
The entire BI system can be divided into its internal part and the user interface for interacting with the data. Why is this division so important? Regardless of system complexity, a typical BI platform has 3 layers: data source, warehouse layer, and reporting layer. Let’s break them down:
Where raw materials are stored. These are your databases, cloud storage, and individual files filled with unstructured data. Data sources are the starting point of any BI system, as they are connected to the following data integration tools, databases, and business intelligence UIs.
Includes all technologies that facilitate the warehouse process. They are both a unified repository for enterprise data and tools that perform extract, transform, and load (ETL). Data is transferred to a single database for several reasons:
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Thus, the data source and warehouse layers are considered the core infrastructure of a BI system. Building and maintaining it is the area of responsibility for database/ETL developers and data analysts/engineers.
Endpoint for data. This layer allows users to retrieve data from the warehouse for analysis. Analytics capabilities may vary depending on the business requirements for the system. But in the most basic scenario, they are SQL query and simple data visualization tools.
Any software that makes up the accounting layer is the responsibility of the business intelligence developer. As part of a business intelligence project, a BI developer takes on engineering, management, and strategic planning responsibilities. Thus, this person can be a project leader and/or executive.
As we define the BI developer’s place within the entire BI platform, let’s take a look at this person’s responsibilities.
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Project scope determines the level of involvement for a given role, as engineers with similar technology stacks and domain knowledge may be interchangeable. Developing BI interfaces requires deep expertise in software engineering, databases, and data analysis. So, in part, data engineers with experience in software development and BI can lead the interface development process.
However, business intelligence tools include many industry-specific features. BI developers also know the specifics of the business domain: this allows them to understand business requirements, use appropriate data models, and use data presentation solutions. Therefore, the responsibility of the BI developer is to:
Business intelligence is always linked to the business domain and the data analysis to the specific organization’s requirements. This means that BI tools can be quite different from company to company. Let’s say there are two projects:
In both cases, the end product will be a BI platform. However, in the first case, it requires more advanced options for data analysis, because there are many dimensions to analyze. The data itself may require image recognition as it can be provided in any format such as an X-ray, MRI or ultrasound.
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This is a gap in understanding the business requirements for a platform that a BI developer must be aware of. Because they will carry the number of reporting facilities, its forms and additional functions.
After the business requirements are gathered and documented, several engineers/ETL/front-end developers are responsible for translating them into technical tasks. In this case, the BI developer is responsible for defining tasks that include user interface and reporting capabilities. More specifically, a BI designer describes whether the user interface should be an interactive dashboard with a drag-and-drop interface, or a set of fields filled with data attributes, the system’s need for data visualization, and how the user interacts. interact with
All of these decisions will be transformed into core tasks for both the ETL development team and the BI team (front-end and back-end). The development phase can be controlled by the project manager or the BI developer.
That said, a BI developer can take a technical lead role on a development team or share developer responsibilities. But a BI developer can make strategic decisions about the software being developed and manage the entire process to deploy it. Testing and tuning may also be the responsibility of the BI developer.
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Reporting is a separate task that does not involve engineering, but rather working with databases and data models. Using the BI interface, users query the database to get some information. This information is then formatted into a visual form (say, a pie chart), or a text summary of the given features.
As the user configures what to draw and how to format it, the software will be responsible for finding that data and recognizing the data it needs. This can be done using data modeling – the structure stored in the database.
Data models are defined and used by data analysts and ETL developers. However, the BI developer is the provider of the reporting requirements and will therefore be the determining factor for the future model. These models represent the objects in the database and the relationships between them, so it will determine how the data can be queried. This is part of the competency of a BI developer.
Logically, the BI developer will also control how the data will be queried, if it is valid, and how the report will work.
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There are many approaches to building a single repository for all corporate information. We discussed these methods in a separate article about warehouses. Although the architectural style of the data warehouse does not directly affect reporting, the BI developer can participate in the design process.
This point goes hand in hand with the previous one. A BI developer can be involved in documenting the data structure of the warehouse as well as the metadata (additional information about the data). This documentation will be used throughout the development process and will assist in deciding on the required reporting options.
Any system needs technical documentation. Although the BI developer cannot onboard users on the platform and show how to use it, it is responsible for providing guidance as a document. This documentation covers the scope of use for typical users and technologies. staff, eg. API documentation, known technical issues, etc.
The skills of a BI developer can vary from project to project. In some cases, a BI developer may have minimal interaction with software engineering and work as a SQL expert to ensure proper query execution. But for the sake of complete description, we will list all the possible skills that correspond to typical responsibilities.
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Experience with BI tools. First and foremost, every BI developer must have experience developing or configuring existing BI products for customers. When building a custom BI product, knowledge of Python, scripting languages, and experience with data visualization libraries is mandatory. Deep understanding of all underlying infrastructure is required: This includes understanding of data integration tools, ETL/ELT processes, data formatting, and warehouse architecture.
If we are talking about a product that uses a vendor’s BI solution, the BI developer should be familiar with its technology. It depends on the vendor, but the most popular solutions for data pipelines, reporting and databases are Amazon products (such as QuickSight), the Hadoop platform or Apache technologies (such as Apache Superset).
DB/DBA background. The main reason for a BI developer’s experience working with databases is that the underlying problem is SQL/noSQL querying. BI systems require dealing with databases, data models, or distributing data across multiple databases.
BI developers can also be involved in designing and building tools for online analytical processing (OLAP cubes). It is an advanced option for large-scale analysis that uses non-relational databases.
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Data analysis. It doesn’t have to be a BI developer
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