Business Intelligence Developer Level – Everything about the past and current status of your business is recorded as bit data Marketing numbers, human resources, company budgets, sales volume – you name it The number of business domains from which data comes can be very large But, as a business, you may be interested in extracting value from this information rather than collecting it Thank goodness there is software for everything
Business intelligence (BI) is a set of technologies and practices for turning business information into actionable reports and visualizations. Founded in the early 80s and evolving as a distinct industry over time, BI spawned many roles and professions. We have already defined the role of an ETL developer This material exposes the specifics of the underlying BI data infrastructure, so we recommend reading it to gain a deeper understanding of the topic.
Business Intelligence Developer Level
Today we will discuss the role of a BI developer, their general responsibilities, background and required skills. We’ll also explain the differences between other standard roles involved in building BI systems and specific cases that require you to hire a BI developer.
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A business intelligence developer is an engineer responsible for developing, deploying, and maintaining BI interfaces. They include query tools, data visualization and interactive dashboards, ad hoc reporting and data modeling tools. But, since we are talking about business intelligence, we have to give a strict definition of this technological trend
The entire BI system can be divided into its internal parts and the actual user interface to interact with the data. Why is this division important? Independent of the complexity of the system, a typical BI platform has 3 layers: a data source layer, a warehouse layer, and a reporting layer. Let’s break them down:
Where the raw data is stored They are any of your databases, cloud storage, and separate files filled with unstructured data. Data sources are the starting point of any BI system because they are connected to all the following data-integration tools, storage and business intelligence UI.
Includes all technologies that facilitate the warehousing process These are both unified storage for all corporate data and tools for extraction, transformation and loading (ETL) operations. Data is transferred to a database for a number of reasons:
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Therefore, the data source and warehouse layers are considered as an underlying infrastructure of the BI system Building and maintaining it is the area of responsibility for database/ETL developers and data analysts/engineers.
End point for data This layer is the actual BI interface that allows users to enter data, pull it from the warehouse for analysis. Analytical capabilities may vary depending on the business requirements for a system But in the most basic view, they are SQL queries and simple data visualization tools.
Every piece of software that makes up the reporting layer is the responsibility of a business intelligence developer. | As part of a business intelligence project, a B.E. Developers are responsible for engineering, management and strategic planning Therefore, this person can be both a project lead and/or an executor
As we have defined the role of the BI developer across the entire BI platform, let’s look at this person’s responsibilities. Take a look at the above
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Project scope defines the degree of involvement for a particular role, as engineers with the same technology stack and domain knowledge may be interchangeable. Developing BI interfaces requires deep experience in software engineering, databases and data analysis. So, in part, data engineers with software development backgrounds and experience with BI can lead the interface development process.
However, business intelligence tools can include many industry-specific functionalities BI developers are also aware of business domain specificity: this allows them to understand business requirements, implement the correct data model and data representation solutions. Therefore, the BI developer’s responsibilities are:
Business intelligence is always tied to the actual business domain and a specific organization’s need for data analysis This means that BI tools can be completely different from company to company Suppose there are two projects:
In either case, the final product will be a BI platform But, in the first case, it will require more advanced options for data analysis, because there is simply more volume to analyze. The data itself may require image recognition, as it may be in any format such as X-ray, MRI or ultrasound.
Data Scientist Vs Business Analyst
This is the difference in understanding the business requirements for the platform, a BI developer should be aware of Because they will drive the number of reporting facilities, its form and additional functionality
After business requirements are gathered and documented, many data engineers/ETL/front-end developers are responsible for translating them into technical work. In this case a BI developer is responsible for defining tasks that cover a user interface and reporting capabilities. To be more specific, a BI developer will describe whether a user interface needs to be an interactive dashboard with a drag-and-drop interface, or a set of fill-in fields with data attributes, that a system needs to visualize data in a way that a user can. Also contact it
All those decisions will be translated into actual actions for the ETL development team and the BI team (front and back-end). The development phase can be controlled by a project manager or BI developer
As mentioned, a BI developer may play a technical lead role within the development team or share the actual developer tasks. But a BI developer can make strategic decisions on the software developed and manage the entire process of its deployment Testing and troubleshooting is also the BI developer’s responsibility during the ‘pre-launch’/launch phase. May be
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Reporting is a separate duty that doesn’t concern engineering as much, but rather working with databases and data models. Using the BI interface, users query the database to retrieve some information This information is then formatted into a visual form (say, a pie chart) or a text summary by given attributes.
While a user configures what to drag and how to format it, a software will be responsible for finding this information and identifying the required data. This can be done with the help of data modeling – a structure by which data is stored in the database
Data models are defined and applied to databases by data analysts and ETL developers But, it is a BI developer who provides the reporting requirements, which will be a determinant for the future model These models represent the objects in the database and the relationships between them. does, so will determine how the data can be queried And that’s part of the skill set of a BI developer
Ideally, a BI developer will also control how the data is queried, if it is valid, and how the report works.
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There are several approaches to building unified storage for all corporate information We discussed these methods in a dedicated article about warehouses Although the architectural style of a data warehouse does not directly affect reporting, a BI developer can participate in the design process.
This point goes hand in hand with the previous one A BI developer may be involved in documenting the data structure of the warehouse, as well as meta-data (additional information about the data). This documentation will be used during the development process and will assist in making decisions about required reporting options
Any system requires technical documentation While a BI developer will not onboard users to the platform, and show them how to use it, he or she is in charge of guiding as a document. This documentation covers the scope of use for general users and tech Staff, such as API documentation, known technical issues, etc
BI developer skills can vary depending on the project In some cases, a BI developer may have minimal interaction with software engineering and act as a SQL expert to ensure correct queries. But for a complete description, we will list all the possible skills that fit the general responsibilities.
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Experience with BI tools First of all, every BI developer should have experience developing customer BI products or configuring existing ones In the case of building a custom BI product, knowledge of Python, scripting languages, and experience with data visualization libraries is mandatory. A solid understanding of all underlying infrastructure is also required: this includes an understanding of data integration tools, ETL/ELT processes, data formatting and warehouse architecture.
If we talk about a product that uses a BI solution from a vendor, a BI developer has to be familiar with its corresponding technology stack. These depend on the vendor, but the most popular solutions that involve data pipelines, reporting, and database operations are Amazon products (like QuickSite), Hadoop Platform, or Apache technology (like Apache Superset).
DB/DBA background The main concern for experienced BI developers dealing with databases is SQL/noSQL queries. BI systems often need to deal with databases, data models or distribution of data across different databases
BI developers may also be involved in designing and building tools for online analytical processing (OLAP cubes). It is an advanced option for multivariate analysis that uses non-relational databases
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Data analysis background As it does not require to be a BI developer
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