Data science consulting and insight services

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Real-Time Data Engineering Insights For Your Business

Data is the new oil for the 21st Century. According to the World Economic Forum, by 2025, the amount of data generated each day is expected to reach 463 exabytes globally. The fundamentals of data engineering involve designing and constructing robust data infrastructure and optimizing workflows for efficient data processing. Data Engineering services are utilized to build solutions for handling large or small datasets using appropriate tools, facilitating effective communication of findings to relevant stakeholders. The data engineering process can be summarized through the following stages:

Collect: Gather raw data from various sources.

Cleaning: Refine and prepare the collected data for analysis.

Transform: Organize and structure the data for efficient storage and retrieval.

Process: Utilize distributed computing and processing frameworks to handle large datasets.

Monitoring: Implement continuous monitoring to ensure data quality, system performance, and reliability.

Our experts have great experience in data engineering with AWS, being the Partner of AWS, and completed a number of data engineering projects providing an end-to-end service to our esteemed clients.

Are you interested in discovering how Data Engineering can elevate your business to the next level?

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Our Expertise

Seaflux helps clients to convert the raw chunk of data into an insight derivable piece of information. Analysing the data by leveraging the advantages of Machine Learning and Qualitative Analysis helps to extract hidden information from the data, which adds value to your business. At Seaflux, we also specialize in DataOps solutions tailored to meet unique industry needs, ensuring streamlined data operations and fostering data-driven excellence.

Our team of experts support and assist you at every integral step from Data Extraction, Data Wrangling, Data Processing and Data Visualization. Deriving tangible insights accelerates your business growth and gives you a competitive advantage over your competitors.

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Where can seaflux help you for your next Data Engineering requirements?

Data Extraction

Gathering data from various source like relational/non-relational database, flat files, open source data and importing into data lake for review and processing

Data Wrangling

Creating structured data imported from various sources like Social media, CRM systems. Cleaning up data to have meaningful data that can be used for data processing and analyzing

Data Processing

With structured data machine learning algorithm is applied to generate meaningful insight which helps for future prediction

Data Visualization

Representing insightful information via different visualization methods like Graphs, Charts, Flow Diagrams etc to communicate with relevant stakeholders

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