Cloud Enabler for Databricks

Why Azure Databricks In today's data-driven world, organisations need a robust and collaborative platform that unites diverse expertise, from data scientists and engineers to business analysts, providing seamless access to data, enabling efficient collaboration. Azure Databricks provides a unified environment for efficient data management and analysis, streamlining data operations to fuel innovation and informed decision-making.

What is Cloud Enabler for Databricks Cloud Enabler for Databricks is a comprehensive data solution that enhances your organisation's data capabilities and accelerates your data maturity. Our team of Databricks Champions leverages Microsoft, Databricks and industry best practices to deliver a customised solution tailored to your unique needs. Our offering focuses on optimising your data and analytics competencies by:

• Deploying and configuring Azure Databricks to meet your specific requirements.
• Integrating robust security and governance practices into your Data estate
• Empowering your team through hands-on workshops and knowledge-sharing sessions

Our approach Our consultants expertly design your Azure Databricks implementation, ensuring a streamlined transition to a modern data platform:

• Formulating a strategic roadmap for Azure Databricks adoption, guaranteeing measurable and impactful outcomes.
• Identifying and prioritising high-value use cases that directly support your key business objectives.
• Establishing clear success metrics

The benefits

• Accelerate actionable insights with the unified experience of the Azure Databricks platform.
• Reduce operational overhead through robust automation that ensures consistent and reliable data pipelines.
• Establish and maintain comprehensive data governance with Unity Catalog.
• Empower business teams to engage with data using natural language via a tailored GenAI solution.

Default scope (project timeline - 10 weeks)*

• Data platform implementation with Azure Databricks
• Use case implementation covering:
  • Ingest data from max 3 data sources with up to 20 datasets.
  • Implement relevant data pipelines with medium transformation complexity.
  • Load data into medallion architecture
  • Build three comprehensive dashboards

*The actual scope can be tailored to your needs.