Our Expertise > Data Engineering

Do you trust your data?

Improve your data quality with data engineering.

What is data engineering

Data Engineering encompasses the tools and processes necessary to process, format, and store your data efficiently and reliably.

The importance of data engineering

Clean data is the first step in building a strong data foundation.

Connecting disparate data sources efficiently and reliably is critical to extracting value from the data. Many organizations suffer from siloed and disconnected datasets—which ultimately present a foundational hurdle to achieving value from data.

Day5 Analytics enables clients to become “data-first”. Through data engineering, modelling, enrichment and upstream process optimization, we build future-ready data policies .

Problem solved

Signs your company can benefit from Data Engineering:

Disparate, siloed data sources
Spreadsheets plagued by undocumented manual manipulations
No single source of truth

Use Cases

How we can help your business with Data Engineering

Extract-Transform-Load

• Streamline data collection • Disparate data sources consolidation • Unstructured data extraction

Data Quality Control and Assurance

• Identify and manage erroneous data • Data matching • Data governance framework

Data Lakes and Warehouses

• Cost effective big data storage • Structured single source of truth • Data available for insights

Cloud Services

• Scalable, cost effective data storage • Stream processing, IoT gateway • Serverless computing

Tools

Recommended Data Engineering Tools

Are you ready to improve your data quality?

Get in touch to speak to a data expert.