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BCN have a heritage of delivering outcomes through our cloud-first services and currently support over 1200 customers across specialist sectors.
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Boost your businesses decision-making capabilities and support your business intelligence and AI initiatives, with a modern, adaptable data foundation.
data warehouse
A data warehouse is a centralised repository of integrated data from various disparate sources usually cleaned and standardised for the purposes of business reporting and analysis. The data flows into a data warehouse from a variety of sources, such as transactional systems, relational databases, point-of-sale systems, and business applications, generally on a regular cadence.
Features
A data warehouse can be designed to host structured data like database tables, excel spreadsheets as well as semi-structured data in the form of XML files and webpages. A data warehouse hosts large amounts of such information and provides users with easy and efficient access to a wealth of historical data, catering to data analytics and the reporting needs of a business.
Consolidated data serves as a single source of truth
Improved data quality, consistency, and accuracy
Provides historical data analysis capabilities
Supports dynamic and advanced data analytics & reporting
Decoupling analytics and transactional processes improve overall performance across systems
Benefits of cloud data warehousing
A cloud data warehouse is a unified, cloud-based data warehousing solution hosted and managed on the cloud, giving the organisations the ability to scale, compute, and store at a faster speed and lower cost.
Efficient infrastructure deployment without excessive up-front costs and reduced maintenance cost with consumption-based costing model
The elastic resources of the cloud make it much faster and less expensive for scaling the resource up/down as per the business requirements.
The data protection and security of cloud data warehouses are efficiently managed by the cloud providers. The cloud-based disaster recovery options are more reliable and cost effective.
A cloud-based data warehouse solution offers significantly faster querying and processing capabilities than its on-premises counterparts.
Cloud data warehouses can be designed to accommodate a wide range of data formats from a multitude of sources and at various frequencies with ease.
Clients
why bcn?
BCN are a trusted data management company for businesses and organisations across a range of sectors. Our expert team delivers custom, scalable, and secure data and analytics solutions that help you achieve your ambitions.
Our data team have in-depth knowledge and experience in delivering data solutions that meet our customer's needs, ensuring they receive highly-quality, reliable, and efficient data services.
Every business and organisation is unique, so should your data strategy. We will work closely to understand your specific objectives, infrastructure, and data sources, to create solutions that align to your broader business goals.
Our data warehousing services are designed for scalability and performance. As your business grows, your solution will scale in-line, ensuring your data warehouse can handle increased data volumes whilst maintain high performance and security.
We prioritise security and compliance and will implement strict measures to protect your data against unauthorised access, breaches and other cyber threats. Our experience in the Public Sector means we understand your regulatory and compliance frameworks so will design solutions that work in accordance with your standards.
FAQS
Yes, BCN can provide Data Warehousing Services for on-premises infrastructure. As a cloud-first company, BCN support and emphasise the adoption of cloud computing technologies as the primary means of delivering data warehousing services, but our expertise spans to on-premises infrastructure.
With traditional or on-premises data warehouses the organisation has total control and total responsibility over the tech stack and data. Traditional data warehouses are expensive to scale and cannot efficiently manage fluctuating workloads and data volumes. They do not offer flexibility in handling raw, unstructured, or complex data and do not cater to the evolving data-analysis use cases.
Cloud data warehouses offers on-demand scalability, cost efficiency, security and availability with faster deployment, better performance, analytics, and access to business intelligence. It addresses the challenges the challenges of scalability, elasticity, data variety, data latency, adaptability, data silos, and data science compatibility faced by in traditional data warehouses.
Migrating an on-premises data warehouse to the cloud can help organisations modernize their data warehouses with high speed, security, scalability, cost savings and performance. The two commonly used migration strategies are:
The Lift and Shift Technique: Migration of the existing data setup unchanged to the cloud platform. This strategy works well for minimizing risk and reducing the time associated with migrating.
The Redesign Strategy: Re-architect the existing data setup with cloud native services to further scale and optimize for cloud architectures. This strategy will require holistic planning, time, and effort to rebuild the existing setup into a modern, adaptable, and future-proofed data platform.
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