We uphold the highest ethical standards, ensuring transparency and accountability in all our AI-driven solutions.
We work hand-in-hand with your team, fostering innovation through a shared vision and open communication.
Safeguarding your data is our top priority, with robust measures to protect against threats and ensure compliance.
Our solutions are designed to grow with your business, adapting to changing demands and increasing complexity.
Consolidate structured, semi-structured, and unstructured data in a single Lakehouse environment.
Configure clusters and caches for high efficiency and cost
optimization.
A global retailer partnered with Datavise to unify multiple data warehouses into a single Databricks Lakehouse. Query speeds improved by 40%, monthly infrastructure costs dropped by 25%, and spurring a 10% boost in revenue.
Develop and deploy scalable pipelines tailored for batch processing and streaming data workflows.
Schedule data transformations and orchestrate end-to-end pipelines with minimal manual intervention.
A healthcare analytics firm automated patient data ingestion using Spark-based ETL and a carefully tuned Lakehouse. By partnering with Datavise, they cut ETL run times by 40% and improved data quality for more accurate clinical insights.
Simplify model tracking, versioning, and deployment at scale with MLflow.
Utilize deep learning libraries, NLP modules, and other AI frameworks
within Databricks.
An education platform leveraged Datavise ML consulting to implement MLflow for real-time churn prediction. This accelerated their experimentation cycles by 30% and increased student retention by 12% within the first quarter.
Process live data feeds for near-instant insights.
Integrate with BI tools for real-time visualizations and performance
tracking.
A pharmaceutical company leveraged Azure Data Factory to automate the ingestion of clinical trial data from global sites. With Datavise optimization, they cut manual processes by 50% and drastically improved data accuracy.
We start by assessing your specific data landscape and objectives. From there, we map out a custom plan detailing how Databricks fits into your broader data strategy, ensuring a seamless alignment with your business goals.
Our experts deploy or modernize your Lakehouse environment, configure Spark clusters, and establish automated ETL pipelines. We integrate data security and compliance measures at every step to safeguard your information.
Once your Databricks environment is operational, Datavise provides training, support, and iterative enhancements. We fine-tune performance, advise on advanced analytics use cases, and keep your platform aligned with evolving market demands.
Our team brings deep expertise in healthcare AI, data management, and data strategy to every project.
We provide tailored AI solutions for specific healthcare needs, from diagnostics to drug discovery.
We prioritize data privacy and adhere to stringent compliance standards to protect sensitive healthcare information.
We implement role-based access controls, encryption at rest/in transit, and best-practice cluster configurations. Our solutions also align with relevant compliance standards (e.g., HIPAA, GDPR).
Absolutely. We analyze your existing environment, create a phased migration plan, and minimize downtime—so your team can transition smoothly to the Lakehouse Architecture.
Yes. Datavise provides hands-on workshops and documentation to upskill your team in Spark, MLflow, and advanced Databricks features.
Timelines vary based on complexity. We typically start with a discovery process to estimate milestones and ensure a realistic, efficient rollout plan.