Data Platform Development
By aggregating various data into a single location, cross-sectional data analysis and utilization become possible, unlocking the true value of data. We harness AWS and GCP cloud technologies to support cutting-edge data platform development. We provide a scalable platform that can adapt to massive data volumes and help optimize the data environment in line with the growth and changes of a company.
Common issues in data platform development
✔️ Data collection and storage
It is important to continuously collect data from various data sources and formats, and store and manage them in a clean state. Appropriate data collection and storage can be challenging.
✔️ Data processing and transformation
Collected raw data needs to be engineered into an analysis-friendly format. Incorrect transformations can introduce bias into analysis results, so appropriate data cleansing is challenging.
✔️ Data access control
Data platforms require proper security and privacy measures to appropriately protect personal and confidential data. Designing proper governance and access control can be challenging.
How Traffine can do
Ready in as little as 1 month
We have accumulated data platform architecture patterns as code, so we can build a data platform tailored to your needs in as little as 1 month.
Operational support
We provide ongoing operational support to ensure stable operation of your data platform even after project completion.
Optimal technology selection
We propose technologies that are optimal for your business needs and objectives for data processing, analysis, and visualization. We assist with technology selection focused on cost and performance.
Data platform development process
Data platform development projects generally follow the process below:
1. Requirements definition
Work backwards from the desired end-state data platform to take inventory of required data.
2. Data collection and storage
Collect and store data from sources like open data, web scraping, APIs, purchased data, etc.
3. Data processing and transformation
Combine and transform the collected data.
4. Operations system development
Build systems needed for data platform operations, like scheduled jobs and metadata management.
5. Documentation
Provide documentation for data platform operations.
Technology stack
Traffine specializes in building high-quality data platforms primarily using the technologies below: