Bring collaborative workspaces together and enable data engineers, analysts and scientists to develop pipelines, train models, and drive innovation. Built on Apache Spark and deeply integrated with Azure, Databricks offers the performance and flexibility needed for modern data workloads.
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Hero Section - Databricks
Azure Databricks
Build a unified, scalable foundation for data engineering, analytics,and AI – powered by open standards and deeply integrated with Azure.
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4 Grid Benefits - Databricks
Harness the potential of Azure Databricks to simplify data engineering, accelerate analytics, and scale machine learning.
Ascent’s integrated Databricks environment unifies your data teams, streamlines pipeline development, and enables advanced analytics across your Azure ecosystem.
Grid Element 1 - Databricks
Unlock advanced analytics.
False
Grid Element 2 - Databricks
Collaborate across roles in a shared workspace.
Databricks enables technical teams to work together in real time using familiar languages like Python, SQL, and R. Whether developing pipelines or building models, teams share a single, versioned environment that fosters collaboration and accelerates delivery.
False
Grid Element 3 - Databricks
Accelerate pipelines with Lakehouse architecture.
By combining the best of data lakes and warehouses, Databricks provides a single source of truth for both structured and unstructured data. This architecture simplifies ETL, eliminates silos, and supports faster, more reliable data delivery.
False
Grid Element 4 - Databricks
Build and deploy Machine Learning models at scale.
Experience the full machine learning lifecycle – from feature engineering to model training and deployment. Integrated MLflow tracking and Azure Machine Learning support make it easier to operationalize and monitor predictive models.
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Journey - Databricks
Your fast-track journey to unlocking new data capabilities at scale with Databricks.
Our structured implementation workflow helps organizations get the most out of Databricks – ensuring every data product is optimized, every process is streamlined, and every team is empowered to collaborate at scale.
Step 1 - Databricks
1
Data ingestion & preparation.
We help you bring together data from multiple sources – structured and unstructured – into Delta Lake, ensuring reliable, accessible and queryable data for downstream processing.
False
Step 2 - Databricks
2
Workspace & environment setup.
We configure collaborative, secure Databricks workspaces with role-based access, identity integration (e.g. Entra ID), and tailored environments for engineering, data science and analytics teams.
False
Step 3 - Databricks
3
Pipeline development.
Our teams build scalable ETL/ELT workflows using Spark and Delta Live Tables, designed for performance, maintainability and real-time data availability across the organization.
False
Step 4 - Databricks
4
Machine learning & performance optimization.
We implement machine learning workflows using built-in notebooks, MLflow and Azure ML integration. To support performance and scale, we tune compute clusters, automate job scheduling and apply cost governance controls across the platform.
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Step 5 - Databricks
5
Integration & visualization.
We connect your Databricks outputs to downstream tools – Power BI, Synapse, Excel – so insights are delivered exactly where users need them, in real time and at scale.
False
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Value Prop 1 - Databricks
Prop1 – Databricks
Enable self-service collaboration.
Databricks empowers analysts, engineers and data scientists to work together in a unified environment. With shared notebooks, reusable code, and version control, teams can explore data, test ideas and move faster – without handoffs or delays.
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Value Prop 2 - Databricks
Prop2 - Databricks
Implement security and governance by design.
From workspace policies to access control and lineage tracking, we help you build secure, compliant Databricks environments that scale with your needs – without adding friction to your workflows.
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ValueProp 3 - Databricks
Prop3 - Databricks
Streamline workflows and developer productivity.
With Git-backed development, CI/CD pipelines and modular codebases, we help engineering teams build reliable, repeatable data products with full visibility and fewer errors.
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ValueProp 4 - Databricks
Prop4 - Databricks
Accelerate time to value.
We provide quick-start templates, curated libraries and onboarding support to help teams ramp up quickly – whether you’re enabling business analysts or scaling data science adoption.
False
Value Proposition
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Diagram 2 | Power BI
Platform architecture & features.
Built on proven Microsoft reference architecture. Accelerated by Ascent.
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FOOTER_Lets get started section - DATA
Let's get started.
We help customers build new data-led business capabilities, services and products, delivering pivotal data and AI projects on the Azure cloud. Got a challenge in mind? We’re ready when you are.
Get In Touch
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