Starburst - Bell Integration

Bell Integration is the full services partner for Starburst Open Hybrid Lakehouse

By optimising data as the fundamental building block in your AI technology stack, you can unlock the full value of your data as well as leverage the capabilities of AI across your organisation.

Bell Integration puts AI to work for customers. Through our partnership with Starburst, we offer a fully integrated platform to securely access and analyse data wherever it resides. As the leading open and hybrid data analytics platform, Starburst helps enterprises make better decisions, faster, using all their data.

Key Benefits of advanced analytics

Bell drives your digital transformation and AI enablement by implementing Starburst solutions for your data operations. Realise these benefits and more:

  • Enable innovation using high performance data processing
  • Accelerate time to value with cross-functional access to all data
  • Simplify data management to save costs and increase ROI

Achieve key use cases working with Bell

Whether your objectives are to increase operational efficiency or to innovate and lead in your market, Bell can manage a range of requirements for solutions using Starburst. We provide solutions design, delivery and enablement to realise these use cases:

  • Power your AI data workloads
    As the Data Platform for AI, Starburst can process large datasets and LLMs. Scale large volumes of data for fast analytics, train ML models with less data processing and movement, simplifying MLOps workflows, and
  • Intensive data analytics
    Starburst is your high-performance engine for data processing and integrates with your BI and analytics tools. Run higher volumes of complex query requests, using SQL, and compute data analytics at scale.
  • Make your data accessible and drive innovation
    Increase collaboration and ownership of analytics for faster time to production to drive innovation. Starburst provides federated access to data stored in different formats, across diverse sources and repositories.
  • Accelerate sustainability initiatives
    Support a meaningful direct impact on energy consumption with increased efficiency of compute processing. Secondly, enhance data discovery and improve storytelling to take the best actions based on data-driven insights.
  • Curate data products as trusted assets
    Overcome data silos and create customised datasets as reusable domain-specific products. This democratises data to serve different department functions, simplifies engineering requirements, and improves governance.

Why Starburst?

The Starburst is proven for enterprise-grade performance, security and integration. It’s hybrid and open data lakehouse architecture supports AI & ML workloads and Data Analytics.

As an open, hybrid platform Starburst makes data accessible from different databases or table formats with integrated cross-platform query capabilities. This flexibility to query data extends across any cloud environment, for a vendor-agnostic underlying infrastructure.

High performance is supported thanks to the Starburst enhancement of Trino, a leading open-source SQL engine. It powers database queries with massively parallel processing (MPP), which enables machine learning, cloud computing automation, big data analysis and simulations that require high performance computing.

The use of parallel computing and open integration provides the most cost-effective option when scaling your AI and analytics – reducing costs with scale-out object storage and compute.

The ease to manage data products simplifies engineering requirements for data pre-processing and building data pipelines. This improves operations, security and governance.

Starburst empowers the most data-intensive and security-conscious organizations like Comcast, Halliburton, Vectra, EMIS Health, and 7 of the top 10 global banks to democratize data access, enhance analytics performance, and improve architecture optionality.

What is a Data Lakehouse?

A data lakehouse is centralised data repository, which combines advantages of both a data lake and a data warehouse. Data lakes store any type of data, typically storing raw data in cold, cost-effective storage. Benefits include flexibility, scalability, and affordability. A data warehouse on the other hand gives structure through table-based formats, which is needed for data governance and better performance for advanced analytics. The capability of a lakehouse to store any type of data efficiently and overcome issues with quality and analytics saves costs and increases performance.

Why work with Bell Integration?

Bell Integration’s expertise in IT infrastructure and AI services, combined with Starburst’s advanced analytics capabilities, will offer a comprehensive solution to enhance your data-driven decision-making.

Optimised data storage and management of your data lake repository is a key requirement for powerful data analytics & AI solutions. Bell provides customers with a fully integrated platform to securely access and analyse data wherever it resides.

Bell services include consulting, solution design, service delivery, enablement training, and management. This ensures you have all available resources to ensure a successful data analytics strategy.

Bell Integration has strategic partnerships across the AI technology stack and, with 350 AI practitioners globally, we are experts in the implementation, enablement, and management of AI based solutions. We work together with partners in our ecosystem to help businesses operationalise AI and deliver value.