Royal Cyber + Databricks
Accelerate your Data Analytics and AI Initiatives
by Partnering with Royal Cyber and Databricks
Introducing Databricks Strategic Consulting Partner Royal Cyber
Royal Cyber is an experienced Databricks consulting services partner with a team of experts dedicated to implementing a data strategy that optimizes existing data pipelines for speed, scalability, and accuracy while maintaining cost-effectiveness. Royal Cyber’s expertise goes beyond just Databricks by bridging the gap between a company’s existing data infrastructure and Databricks, ensuring a smooth integration. Our services encompass everything- from initial consultation to implementation and ongoing support, thus helping companies unlock the full potential of Databricks for data engineering, analytics, and AI.
Databricks Services We Offer
Databricks Jumpstart
- Access our custom jumpstart packages for the Databricks platform.
- Consult our experts for pre-built Databricks accelerators for immediate results.
- Pay only for services you need with our specialized bundles
Databricks Migration
- Transition from on-prem systems to cloud platforms like Azure Databricks.
- Providing guidance and support services throughout the migration process.
- Migrating large volumes of data and complex datasets.
Data Lakehouse
- Build a scalable, secure, and optimized data lakehouse for peak performance.
- Implement data lakehouse for maximum efficiency and minimum downtime.
- Providing ongoing support and maintenance for data lakehouse.
GenAI Applications
- Leverage open-source LLM DBRX to build custom generative AI apps.
- Access MLOps solutions for managing DBRX LLM lifecycles easily.
- Training to understand model behavior, identify biases, and improve accuracy.
Business Intelligence
- Configure AI/BI Genie to integrate with existing BI tools and workflows.
- Leverage our NLP expertise to ensure AI/BI Genie's understanding of industry-specific metrics.
- Develop custom AI/BI Genie reports and visualizations to help businesses gain insights from user interactions.
Data Governance
- Defining data ownership, lineage tracking, and data quality with Unity Catalog.
- Implementing data masking to protect sensitive data within Unity Catalog.
- Migration of existing data catalogs to Unity Catalog, ensuring a smooth transition and minimal disruption
Mosaic AI
- Leverage Mosaic AI to fine-tune existing large language models
- Build custom LLMs at a fraction of the cost with Mosaic AI's optimized training tools.
- Simplify AI models with a unified platform for deployment, data governance, and monitoring.
Data Warehousing
- Databricks SQL warehouse custom configurations and optimization.
- Develop and implement cost-effective data warehousing strategies on Databricks SQL.
- Designing pipelines by integrating in-house data lakes or custom analytics workflows.
What Makes Royal Cyber the
Right Databricks Consulting Services Partner?
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Faster Performance & Insights
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Lower Costs
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Certified Databricks Consultants
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Accelerated Implementation
Our Databricks Consulting Services Custom Packages
Choose the package that best fits your needs. Our Databricks packages are designed to cater to a variety of requirements.
What Exactly Does Databricks Do?
Databricks is a serverless, cloud agnostic Data Intelligence Platform that simplifies data architecture by breaking down silos between analytics, data science, and ML. The platform empowers users to create data-centric language models for direct insights. It ensures comprehensive connectivity and interoperability by offering seamless integration with Azure Lakes, PowerBI, and Kafka. In essence, Databricks aims to democratize data, automate tasks, and facilitate the development of custom AI applications.
Databricks For Data Science Community
Why Companies Need Databricks
Benefits of Databricks Data Intelligence Platform
Streamlined AI Model Deployment
Databricks offers a comprehensive suite of tools to manage your data throughout the AI workflow, ensuring its lineage, quality, control, and privacy. This empowers you to tackle any AI challenge with features like creating and deploying custom generative models, automated experiment tracking, and scalable model deployment and monitoring.
Simplified Data Governance
Streamline control over your data, analytics, and AI with a unified data governance approach. This single model simplifies compliance and provides a holistic view of all your data, structured or unstructured. Gain deeper business insights through features like context-aware search, AI-powered monitoring, and unified data and AI permissions.
Cost Effective Data Scalability
Databricks Lakehouse delivers 12x better price-to-performance for your SQL and BI needs. It offers simplified management with serverless architecture, AI-powered query execution for faster results, and open formats and APIs to avoid vendor lock-in.
Real-time Data Insights
Databricks handles batch and real-time processing, automatically adapting to maintain data quality. Build workflows quickly for any data type, and enjoy end-to-end monitoring with hands-off reliability and optimization, even at a massive scale.
Secure & Simplified Data Exchange
Databricks revolutionizes data sharing. Collaborate openly and securely with anyone on any platform. Share live data, models, and notebooks without proprietary formats, expensive replication, or complex ETL (extract, transform, load) processes. Even monetize your data through the Databricks Marketplace.
Optimized Data Asset Management
Databricks intelligently tailors computing resources and autoscales workloads to meet deadlines and budget constraints. Automatic error correction ensures smooth operation, allowing you to focus on insights, not infrastructure.
Want to Get Started with Databricks Platform?
Databricks Customer Success Stories
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How we can transform your business with Databricks Platform
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Databricks FAQs
No, Databricks is not owned by Microsoft. However, they have a close partnership that goes beyond just investment. They’ve collaborated on projects like Azure Databricks and the Open and Governed Data Lakehouse Foundation, showcasing their commitment to advancing data analytics.
Databricks does provide ETL capabilities. However, it is not restricted to being an ETL tool; it is better described as a data intelligence platform—in short, a platform that aims to manage all data operations.
Databricks and Snowflake are both powerhouses with different strengths
- Architecture: Databricks separates data storage and processing, while Snowflake takes a more unified data warehouse approach.
- Billing: Databricks offers a subscription or open-source model, while Snowflake uses a pay-per-use system.
- Use Cases: Databricks shines in machine learning and streaming, while Snowflake excels in analytics and reporting.
- Indexing & Ingestion: Databricks offers advanced indexing and both batch/continuous ingestion. Snowflake focuses on batch processing with less emphasis on indexing.