Data Engineering services
LWARE offers a range of data engineering solutions to help you ensure your data is set up correctly, optimised, scalable and secure.
Our data
engineering
expertise
Talk to a data engineering
consultant in our team.
Database set up (On Premise and Cloud)
Database scaling & maintenance
Data management
System integration
Data migration
IoT (Internet of Things)
Cloud migration
Maximise the value of your data
Our data engineering services provide efficient and effective data management, streamlined data migration and integration, and enhanced data security. This allows you to maximise the value of your data and your ability to use it to your best advantage.
Here’s how you’ll benefit from LWARE’s data engineering
Data collection, management and retrieval systems that are correctly set up can help your outcomes in a number of ways, including:
✔ Greater insights and better-informed decisions
✔ Improved business processes around data collection and management
✔ We improve efficiency and outcomes by tracking performance.
Why LWARE for your data engineering?
Experienced and qualified team with direct industry experience
Expertise in data engineering, paired with experience in construction, engineering and project management make LWARE an expert in data engineering for your niche
We understand the industry and what lies behind the data
We offer a host of data and analytics services, for an end-to-end solution
We explain everything in everyday language, and care about keeping you informed
We customise our solutions to your specific needs
We bring data from different sources together and give you the insight these combinations offer
Exceptional value
We have specialist expertise in Cloud-based platforms, including AWS & Azure, BAP / Power BI / Oracle Primavera (P6).
Data engineering FAQs
Have questions? Here are answers to some of the most commonly asked questions about data engineering.
What is data engineering?
Data engineering is the discipline of designing, constructing, integrating, and maintaining the architectural framework for collecting, storing, analysing, and operationalising data. It involves creating and managing large datasets, developing data processing systems, converting raw data into usable data formats, and ensuring data integrity and reliability.
Why is data engineering important?
Data engineering ensures that data is accurate, reliable, and easily accessible. It provides you with the foundation to make informed decisions, find actionable insights, innovate, and remain competitive in a data-driven industry.
How does data engineering apply to the construction and engineering sectors?
Data engineering plays a pivotal role in the construction and engineering sectors by optimising project management, forecasting equipment maintenance, and enhancing safety protocols. It helps in processing vast amounts of data from digital building models, site sensors, and historical records to improve decision-making. This fusion of data insights with traditional construction practices leads to greater efficiency, cost savings, and innovative project execution.
What makes LWARE a great choice for data engineering services?
We offer a complete range of advanced analytics and data services for better efficiency and predictability over your construction and engineering projects. We’re a highly experienced technical consulting firm with expertise in not only the data strategy, data science, data mining and data assets, but we also have specific expertise and experience in the construction and engineering sectors. We offer a range of advanced analytical solutions, as well as industry-leading technology that outshines industry standard tools. From data engineering, data analytics, visualisations and reporting to software development and data integrity, we offer a range of data services that give you the intelligent insights you need to drive results, increase productivity, get real time insights, and meet your strategic goals. We use leading technology combined with advanced data analytics and deep experience to provide real insight.
How is data engineering different from data science?
While data engineering focuses on the architecture and infrastructure for data generation, collection, and storage, data science focuses on deriving insights from complex and unstructured data. Data engineers provide the tools and infrastructure needed for data scientists to conduct their analyses. At LW Analytics, we take care of both of these areas of data. We can provide data engineer services, setting up and optimising your data infrastructure, data sources and data storage systems, then we can provide data preparation, data science and advanced analytics services to help you derive meaning and insight from that data.
What are data pipelines?
A data pipeline refers to a set of processes that moves data from one system to another, typically for the purposes of data ingestion, processing, storage, or analysis. Data pipelines are technically a series of data processing elements connected in series, where the output of one element is the input of the next. It can be referred to in this way, or it can be used as a general term meaning the set of processes to move data from one system to another.
Get in Touch
Whether it’s cloud migration, data management, system integration or database set up, scaling and maintenance, our data engineering experts can ensure that your data systems and networks are set up to provide you with the insight you need. Talk to one of our experts today to learn more and get started.