DATA SCIENCE SANDBOX AS A SERVICE 
ONE SIMPLE SERVICE FOR ALL ANALYTICS.
 
 
ONE WEEK FREE.
 
The Cazena Data Science Sandbox as a Service

 
 

With Cazena’s Data Science Sandbox as a Service, teams run a wide range of advanced analytics in a secure cloud platform, without having to build or manage the underlying technology. Cazena’s services include integrated capabilities for storage, processing, built-in data movers, security and analytics engines -- delivered “as a service” with an intuitive interface that abstracts the complexity of the underlying technologies. Cazena runs on AWS or Azure, and is managed 24 x 7 by our expert team. 

For a limited time, you can Test Drive a Cazena Data Science Sandbox for a week for free.
 
 The Cazena Data Science Sandbox as a Service:
 
  • Accelerates results with a single platform for all data science, machine learning and analytics. Popular tools like RStudio Server Pro, Sparklyr and Hue Notebooks are an integral part of the service, which supports languages from Python to SQL. Use embedded analytics tools or connect with your own.
  • Radically improves performance with Apache Spark-powered distributed processing: Running R and other analytics on Spark enables bigger sample sets, faster processing and accurate results. Cazena gives you the benefits of Spark, Hadoop and other new data processing technologies with no learning curve, implementation time or optimization work. Everything is pre-built, integrated and optimized for the cloud, presented behind a simple abstraction layer. 
  • Helps teams share data and ideas efficiently -- breaks teams free from the storage and memory constraints of desktop analytics. Data scientists and analysts collaborate more efficiently, sharing datasets, outcomes and ideas in a single environment. Removes issues with tool consistency (versions, etc.) and makes data sharing simple and secure. 
  • Improves productivity of data science and advanced analytics programs. Removes conflicts for resources or wasted time spent subsetting data or running models sequentially. Makes it easy to use the languages and preferred tools that your team and business partners already know; connect to Cazena with any visualization or analytics tool.
  • Simplifies data collection and consolidation. Built-in data movers and connectors make it simple and secure to get data from different cloud and enterprise sources, even from secure datacenters.
  • Gets teams deployed quickly. Cazena handles provisioning, management, maintenance, upgrades, backup and restore, patching and all operations; The service is single-tenant, secure and enterprise-friendly.  
How the Free Week Works
For a limited time, you can Test Drive a Cazena Data Science Sandbox as a Service for one week. We've streamlined the experience to give you efficient training, fast access and an intuitive experience.
 
 
Learn More: Please email us for more information or to schedule a call or demo: info@cazena.com.
 
Request a Week: Simply complete a short application, so we can ensure that Cazena supports your datasets and preferred analytic languages. Once approved, we’ll schedule an interactive working session with our solution architects, where you can see the service in action and ask questions. When your week begins, connect, move your data in and start analyzing. Our expert support staff will be standing by to help. You’ll get the full Cazena experience!
Sign Up
Please tell us a bit more, so we can ensure that a Cazena Data Science Sandbox will be a good fit for your project. Then we will contact you to schedule your intro call and sandbox week with our solution architects. 

 

About Cazena
Cazena’s mission is to radically simplify big data processing in the cloud, for faster business outcomes at a fraction of the cost. Founded by former Netezza leaders, Cazena is a recognized innovator in the Big Data as a Service category with end-to-end solutions for cloud data science sandboxes, data warehouses/marts and data lakes. Cazena is backed by Andreessen Horowitz, Formation 8 and North Bridge Venture Partners.  
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