Data Engineering
Data engineering is the practice of designing and building systems for data collection, storage, and analysis.
Work with 9b
Data engineering is the practice of designing and building systems for data collection, storage, and analysis.
Work with 9bData engineering is the practice of designing and building systems for data collection, storage, and analysis. Think of data engineering as the go-between data creation and capture and data analysis and science. The goal is to make the data easy for people and other systems to access and use. Data engineers work with data analysts, data scientists, and data architects as well as organization leaders to understand their user requirements in order to optimize data flow and consumption.
Dataflow is the movement of data through a system. Automation is the process of uploading, handling, and processing data via automated tools instead of manually performing all these tasks. With dataflow automation, you don’t have to worry about data landing in the wrong place or in the wrong hands.
An application programming interface (API) is a software intermediary that allows two applications to talk to each other. 9b developers request and save data from APIs as another way to help organizations get the data they need. The entire process is done automatically and securely using Amazon Web Services (AWS). Once the data is fetched via the API, it can be used for other purposes, such as data visualization.
The Internet is full of information—the majority of which can be extracted for data analysis, visualization, and more. 9b builds web scrapers for organizations to access publicly available data. We’re building new scrapers regularly and provide data access to all clients.
9b uses Python to build, monitor, and manage data pipelines and create data engineering infrastructure efficiently.
If you have ever had trouble accessing and using the data from your data system, you could benefit from a data engineer. Simple questions—say, “How do our finances compare this year with last year?”— can require complex solutions, depending on the configuration of your system. Data engineers have the technical knowledge and skills to source and curate the data in a way that’s easy for you to use.
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