Databricks Services
Powering Data Engineering and AI Innovations
DVT, a certified partner in Databricks services, offers data engineering expertise crucial for the effective implementation and ROI maximisation of your Databricks projects.
Databricks Services
Powering Data Engineering and AI Innovations
DVT, a certified partner in Databricks services, offers data engineering expertise crucial for the effective implementation and ROI maximisation of your Databricks projects.
Accelerate Innovation with the Lakehouse Platform
Bring all your data, analytics and AI initiatives under one roof with the Databricks Lakehouse Platform. By breaking down data silos, this flexible and unified platform allows for seamless data management, giving you unparalleled control and helping you cut costs while speeding up the innovation process.
Comprehensive Databricks Solutions
With strong partnerships across Microsoft Azure and AWS, DVT delivers robust and comprehensive Databricks services tailored to your needs. Our offerings cover everything from solution design and implementation to source integration, data quality assurance and ongoing management.
We provide the support you need to harness the power of Databricks for advanced data analysis, exploration and the generation of actionable insights through cutting-edge machine-learning models.
Certified Expertise for Maximum Impact
Our team of certified Databricks developers and engineers is committed to maximising the return on your Databricks services investment. We specialise in delivering swift, high-impact results, guaranteeing that your data engineering and AI initiatives are executed and fine-tuned for success.
DVT’s Databricks Services
As a Databricks partner, DVT brings enhanced data capabilities to our customers through the Data Lakehouse Platform. This enables rapid enablement of business insights from Databricks cutting-edge capabilities. Quicker insights, improved decision-making and faster business execution. Your Data. Your AI. Our services to enable your success. Now.
Damian Potter
Databricks Services: Remote, Hybrid or On-Site
DVT offers flexible Databricks services worldwide, remotely, on-site or through a hybrid approach.
Our remote teams, based in Europe and the UK, operate within your time zone, ensuring high productivity and seamless communication in English.
Hybrid options combine the strengths of remote and on-site work, enabling team co-location for critical activities like innovation sessions, team building and strategic planning. Fully on-site teams are also available as required.
Whether you need a single expert or a full team to fast-track your Databricks initiatives, DVT supports your needs.
What is the Databricks Lakehouse Platform?
The Databricks Lakehouse Platform combines the strengths of data lakes and data warehouses into a single solution. It offers the governance and reliability of a traditional data warehouse while maintaining the flexibility and openness of a data lake. This integration removes complexities across your data stack, making it easier to manage data engineering, analytics, BI, data science and machine learning in one place. Built on open standards, the platform enhances flexibility and supports advanced AI capabilities within Databricks. Its unified data management and security approach simplifies operations and accelerates innovation—key in today's data-driven environments.
For further details, visit Databricks
Challenges with Data, Analytics & AI
Streamlining Data Operations with Lakehouse
The data Lakehouse represents a significant shift in data management, enabling the seamless integration of AI and BI applications directly on large volumes of data within a single platform. This architecture merges the strengths of data warehouses and data lakes, making it possible to run sophisticated AI and BI workloads on enterprise-scale data without separate systems.
Key features of the Lakehouse architecture include advanced SQL capabilities, indexing, and MPP (massively parallel processing), all of which enhance performance for BI tasks on data lakes. The architecture also supports direct file access and is compatible with Python and various data science and AI frameworks, eliminating the need for a separate data warehouse.
By adopting the Lakehouse model, organisations can leverage Databricks' robust data engineering and AI capabilities, improving data quality management and streamlining operations. Ultimately, this approach simplifies handling large data sets, optimises data processes and fosters more innovation across data-driven initiatives.
World Class IT services.
Regional presence to partner
with you for success.
DVT leadership and experts are located in key customer regions, including the United Kingdom, Ireland, Netherlands, Romania, South Africa, Kenya, and the United Arab Emirates. We offer local capability to partner with you for all your service requirements and global scalability to ensure fast, efficient, and effective fulfillment of your IT service and staffing needs. We are ready to partner with you. Contact your local DVT leadership today to get started.
FAQ's
The Databricks Lakehouse Platform blends the best of both worlds—a data warehouse's reliability and a data lake's flexibility. With everything in one place, you can manage your data and AI tasks more easily and efficiently.