Reducing annual cloud spend and maximizing ROI with cluster configuration and improved cloud usage visibility
Lakehouse Optimization
Maximizing cloud performance, scalability, and cost-efficiency
Our comprehensive Lakehouse Optimization solution is meticulously crafted for users of Google Cloud, AWS, and Azure. It is designed to fine-tune cloud resources, optimizing performance, scalability, and cost-effectiveness for your business operations. Featuring the Lakehouse Optimizer, this accelerator expedites the journey to peak cloud efficiency, ensuring swift time-to-value for your data-driven initiatives.
Increase in platform value
0 %
Do more with your existing investment
Our cloud architects and data scientists deliver dashboards that break down usage on a per-second, per-job and per-resource basis to target inefficiencies that consume your platform’s bandwidth.
Faster run speed
0 x
Optimized code and infrastructure
We assess the workloads of your cloud operations with granular modeling including 400+ variables to quickly identify opportunities for hyper-charging query and reporting performance.
Usage and spend visibility on any cloud platform
We approach cloud infrastructure holistically to uncover root causes of inefficient spend and slow processing, and we’ve worked with companies across every major cloud provider to optimize their Databricks environment end-to-end. Continually driving efficiency while minimizing processing and rigidity, our optimization solutions deliver immediate ROI and save you thousands in yearly costs.
Featured accelerator
Lakehouse Optimizer
Optimize your lakehouse costs, minimize your total cost of ownership, and drive more value from your cloud workspaces with the Lakehouse Optimizer by Blueprint.
Industry-based, high-value use cases:
Retail
Use Case:
An e-commerce retailer experiences spikes in website traffic during seasonal sales events.
Application:
The Lakehouse Optimization solution can dynamically scale the retailer’s cloud infrastructure to accommodate surges in website traffic during peak periods. By leveraging the Lakehouse Optimizer, the retailer can automatically allocate additional cloud resources for data processing, website hosting, and inventory management, ensuring optimal performance and responsiveness for online shoppers. This results in a seamless shopping experience, increased conversion rates, and higher customer satisfaction levels.
Manufacturing
Use Case:
A manufacturing company utilizes cloud-based analytics to optimize its production processes and supply chain operations.
Application:
With the Lakehouse Optimization solution, the company can optimize its cloud infrastructure to handle the fluctuating demands of manufacturing operations. By leveraging the Lakehouse Optimizer, the company can ensure that the cloud resources allocated for data storage, processing, and real-time analytics are optimized for performance and cost-effectiveness. This results in streamlined operations, reduced downtime, and enhanced decision-making capabilities.
Health & Life Sciences
Use Case:
A healthcare organization conducts genomic research and analysis using cloud-based platforms.
Application:
The Lakehouse Optimization solution can help the organization maximize the efficiency of its cloud resources dedicated to genomic data processing and analysis. By leveraging the Lakehouse Optimizer, the organization can optimize the scalability and performance of its cloud infrastructure, enabling faster processing of large-scale genomic datasets. This accelerates research timelines, facilitates precision medicine initiatives, and ultimately improves patient outcomes.
Financial services
Use Case:
A financial services firm relies on cloud-based data analytics to enhance risk management and regulatory compliance.
Application:
The Lakehouse Optimization solution can assist the firm in optimizing its cloud resources to support advanced analytics, model validation, and real-time monitoring of financial transactions. By utilizing the Lakehouse Optimizer, the firm can ensure that its cloud infrastructure is finely tuned for high-performance computing, data security, and compliance requirements. This enables the firm to mitigate risks effectively, comply with regulatory mandates, and drive strategic decision-making.
Our work
See how we help businesses unlock the potential of the Databricks Lakehouse
Improving an existing data pipeline to reduce time-to-insight and applying a machine learning model to better search available data