Wellstech helps your business grow with data. Data enables organizations to make strategic decisions based on facts, not experience, and to improve business processes more effectively.
Build a data pipeline to effectively utilize data and create business value with Welstech.
What is a data pipeline?
A data pipeline is a series of data journeys that collect, process, and transform data into a form that can be stored and analyzed.
Components of a data pipeline
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01
Data collection
Collect data from a variety of sources. Utilize techniques such as web crawling, log collection, and API calls. -
02
Data processing
Utilize extract, transform, and load (ETL) techniques for cleansing and transforming data. Employ technologies such as databases, streaming processing, and distributed processing. -
03
Data Storage
Utilize technologies such as databases, data warehouses, and data lakes for data association and storage. -
04
Data analysis
Categorize, integrate, and aggregate stored data to derive useful information. Leverage technologies such as analytic table modeling, backward normalization, visualization, big data processing, machine learning, and artificial intelligence.
Process of data pipeline deployment
Fulfill on-premises big data gateway data to cloud data lake storage (HDFS)
- Perform data preprocessing and data fulfillment log management using ETL
- Analytic table modeling
- Build a data mart fulfillment environment and perform fulfillment tasks
Expand customer service and secure competitiveness through data insights by linking raw data required for business and building an efficient data analysis-based environment to create business value.
Our Clients
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BNK Financial Group
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Kia Motors
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Hanwha Ocean