More Than Meets The AI
The Databricks Lakehouse
BoomData working with Databricks running on
Microsoft Azure, is laying the foundation for data
& AI-led growth.
BoomData working with Databricks running on
Microsoft Azure, is laying the foundation for data
& AI-led growth.
Databricks pioneered the Lakehouse. This powerful cloud data platform combined with BoomData’s data, analytics and Microsoft Azure expertise and services, can deliver organisations an open, unified foundation for all your data, AI and governance needs. The power of our partnership lies in the platform and BoomData’s decades of experience in data, embedded in our unique data platform accelerators and frameworks that clients can benefit from. Our senior cloud data platform practitioners combined with our analytics team that have deep business process expertise, provides a full end-to-end data and analytics capability.
Learn MoreBoomData provide Databricks Advisory Services, Consulting Services & Managed Services in the following areas to ensure we get your data working for you. While our unique Data Platform Accelerators and Frameworks automate provisioning and streamline everyday processes.
We can design, build and deliver a new Databricks cloud data platform or enhance your existing Databricks landscape, adhering to a number of best practices that ensures tasks are automated, repeatable, reliable and consistent. That way your platform can seamlessly scale as your business grows or teams change. We have developed unique Data Platform Accelerators and Data Platform Frameworks to set you up for success. Our Accelerators automate Databricks setup and provisioning using prebuilt Infrastructure-as-Code (IaC) in a modular, fully customisable approach, covering all cloud components. While our Frameworks streamline commonly executed processes such as configuration, data extraction, data ingestion, transformation, data archival and pushing data to external repositories, to automate tasks and reduce coding. This means faster and easier deployment, standardisation of environments and boosted reusability and productivity.
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BoomData can help set best practices for your business in streamlining data workflows and consolidating disparate data sources into a unified Databricks cloud data lakehouse. This eliminates data silos, while automating ETL processes and use of our unique Data Platform Frameworks, ensures data is accessible, consistent and accurate. We can provide the foundations to deliver more advanced analytics by easily combining generative AI models with your unique data, to deliver a competitive advantage.
BoomData can easily & securely develop a strategic approach to data governance so you know where your data is, how it’s being utilised and whether it’s protected. We can help you apply consistent policies across all your data and workloads with fine-grained insight into data lineage so that you know where data came from, where it’s going and how it’s being used, from BI to AI.
The Databricks Data Intelligence Platform allows your entire organisation to use data and AI. It’s built on a lakehouse in the cloud to provide an open, unified foundation for all data and governance. According to Databricks research, with the Databricks platform customers realise an average ROI of 482% with a payback period of as few as 4 months.
The Databricks Data Intelligence Platform allows your entire organisation to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. Eliminating data silos that traditionally separate and complicate data engineering, analytics, BI, data science and machine learning, the platform also has a common approach to data management, security and governance to operate more efficiently and innovate faster across all analytics use cases.
Easily ingest and transform batch and streaming data on Databricks. Orchestrate reliable production workflows while Databricks automatically manages your infrastructure at scale. Increase the productivity of your teams with built-in data quality testing and support for software development best practices.
Databricks SQL is a serverless data warehouse built on lakehouse architecture that lets you run all your BI and ETL workloads at scale with up to 12x better price/performance, a unified governance model, open formats and APIs, and your tools of choice. Databricks runs on AWS, Microsoft Azure, Google Cloud and Alibaba Cloud with deep integration to each provider’s infrastructure, data and AI services. Microsoft Azure is BoomData’s preferred cloud provider, as we’re also a certified Microsoft Data & AI Azure Solutions Partner.
Built on an open architecture, AI and machine learning on Databricks empowers ML teams to prepare and process data, streamlines cross-team collaboration and standardises the full ML lifecycle from experimentation to production including for generative AI and large language models.
Streamline the end-to-end data science workflow from data prep to modelling to sharing insight, with a collaborative and unified data science environment. Quick access to clean and reliable data, preconfigured compute resources, IDE integration, multi-language support and built in advanced visualisations.
Data streaming is simplified to deliver real-time analytics, machine learning and applications on one platform. Build streaming data workloads with the languages and tools you already know, while automating production associated with building and maintaining real-time data workloads. Eliminate silos with a single platform for streaming and batch data.
Databricks works seamlessly with the most popular BI analytics tools like Power BI. Be confident in knowing that you’re using the most recent and complete data to feed your Power BI dashboards and reports. As BoomData are Microsoft Data & AI Azure Solution specialists our senior local team can help ensure you get the most from your investment in Power BI and Databricks, delivering high quality outputs with speed, flexibility, and value.
Databricks provides an open source approach to allow easy sharing across data, analytics and AI, in a governed, secure way.
Databricks Unity Catalog offers a unified governance layer for data and AI within the Databricks Data Intelligence Platform. Organisations can seamlessly govern their structured and unstructured data, machine learning models, dashboards and files on any cloud or platform.
Our Data Management Review is designed to assess your existing Databricks environment to best practices or if you’re looking at a new Databricks lakehouse, it can assess your readiness to move to the cloud. We focus across your entire data landscape covering data security and compliance, data lifecycle management, data governance, organisational support, data ownership and business alignment.
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