"We have the same advanced capabilities that big companies spend tens of millions of dollars to build, for a reasonable monthly fee with no DevOps work required, thanks to our Cazena Data Lake.”
"Cazena's Data Lake as a Service has accelerated our data science program by months. We would have had to hire a minimum of seven people with scarce skills to have 24/7 coverage like Cazena’s."
“Our data scientists are focused on strategic initiatives such as fraud detection, data monetization and portfolio risk reduction...automated private SaaS means our team always has a production-ready platform.”
Enterprise innovation starts with a secure, accessible Data Lake, designed to collect, store and analyze many types of structured and unstructured data. Cazena’s Data Lake as a Service embeds best-of-breed software from Cloudera, AWS and Azure, and supports a all analytics tools and methods, including Spark, SQL, R, Python, etc. Everything is fully-managed and delivered as a service. Each data lake is secure and private (single-tenant) for each organization.
Cazena’s Data Lake as a Service empowers global teams to work efficiently in a secure, unified cloud environment. It is a complete stack for advanced analytics, which includes Cloudera, Azure/AWS infrastructure, security monitoring and 24x7 operations for admin-free platform. Data science teams can securely load data, store, analyze, collaborate, deploy… and repeat. Cazena supports all analytics via built-in support for all popular tools and the option to add new capabilities from an integrated AppCloud.
Cazena's Data Lake as a Service can help reduce data warehousing costs and evolve data analytics capabilities. Data lakes can be optimized for enterprise SQL workloads and beyond, with the best security, price: performance and flexibility in the cloud. Cazena's founders were the original team behind one of the first data warehouse appliances, Netezza, giving them a unique perspective into enterprise requirements.
The cloud promises efficiency and cost-savings for enterprises, but only if implemented and managed correctly. Cazena’s Data Lake as a Service offers easy capabilities for data collection, streaming and storage -- with built-in DevOps automation. That helps IT scale to the cloud and support more workloads, without adding new staffing or skill requirements. Use Cazena for real-time data pipelines, staging or advanced analytics.
Cazena Data Lakes embed best-of-breed software, adding built-in automation for ideal cloud performance. Many Cazena Data Lakes include the complete Cloudera stack. Companies can get all of Cloudera’s industry-leading capabilities, fully-managed and delivered "as a service" on AWS or Microsoft Azure. It’s the fastest path to new deployments, migrations, hybrid expansions or adding new capabilities like Cloudera Data Science Workbench or DataFlow.
Cazena's SaaS Data Lakes with Cloudera on AWS and Microsoft Azure accelerate outcomes from analytics, data science, ML/AI and data engineering. Cazena's SaaS solutions include the complete Cloudera stack, cloud infrastructure, storage, security, analytics engines and 24x7 production operations. Everything is integrated, fully-managed and monitored to ensure the best price-performance for all analytics.
By delivering applications that are Powered by Cazena, Sentier has dramatically accelerated time to market for its marketing mix and predictive analytics applications.
Go to Case Studies
Victoria University (VU) is one of the world’s top universities with more than 40,000 students, and multiple locations through Australia. The organization has been increasing its emphasis on advanced analytics, with plans for addressing academics, marketing and operational efficiency.
Go to Case StudiesData Lakes are a foundational capability to get fast access to data and enable AI/ML, data engineering, and all analytics, but they require specialized expertise that is hard to find and retain.
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