Data Engineering

Gather and structure your data for the best results & insights

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Data Engineering

Why Is Data Engineering Important?

Data engineering is the central foundation for any advanced data project. Companies produce vast amounts of raw data, but it often lacks consistency in structure and formatting.

Data engineering takes these different sources and creates a consistent pipeline to enable the likes of AI, Data Science and Data Visualisation solutions.

Pipeline Automation

Big Data can’t be handled manually. Automation is needed for the most efficient and optimised practices. An optimised pipeline can Extract, Transform and Load (ETL) all of your data, seamlessly moving from raw, unconnected data sets to formatted and structured data that’s automatically updated for real-time results.

ETL

Machine Learning

Big Data

Data Visualisation

Data Science

Dashboards

Analytics

What Can Data Engineering Do For You?

01 Identify Data
Sources
Data engineering can help you identify potential data sources that are vital to achieving your business goals. Once we know where vital data lies, we can add it to the pipeline.
02 Expand Data
Acquisition
More data can reveal the larger picture. A custom pipeline is essential for achieving this in an efficient manner. We’ll ensure new data sources can be accessed and added with no complications.
03 Transform &
Format Data
Raw data is nearly impossible to analyse – especially from multiple sources. We’ll configure a unique ETL (extract, transform and load) pipeline to automate the entire process, from collection to storage.
04 Data
Storage
All data has to be stored somewhere. With growing volumes of historical data, data warehouses and lakes are vital for easily accessing data from your analytics. Paired with the Cloud, we can provide a storage solution that’s both accessible and cost optimised.

Data Engineering & The Cloud

An automated process needs scalable servers able to spin up production when large volumes of data are processed, but don’t sit idle while not in use. Cloud infrastructure allows exactly that.

How To Get Started With Data Engineering?

01 Data Workshop
A data workshop is the first stop for any data journey. Our Data Engineers and Architects will meet with you to discuss your data sources, needs and goals, as well as proposing a Minimum Viable Product (MVP) and roadmap for success.
02 Data Pipeline
The main MVP for most data engineering projects. A data pipeline is essential for transforming data from raw information to formatted structures ready for analysis.
03 Data Migration
Want to move your existing data sources into your new pipeline? We can help transform and integrate all your existing sources into the new pipeline.
04 Advanced Solutions
The data journey never stops – we can add new sources, create deeper insights or even start working on advanced solutions, from Machine Learning to Data Visualisation!

Let’s get started

Engineer your data into actionable potential.