Gartner analysts Nick Heudecker and Mark A. Beyer succinctly summarized the current state of the market in a recent report. "The maturity of data lakes remains at 'emerging' for 2016. Despite rampant interest, adoptions are limited to aggressive technology adopters, and false starts are frequent," they noted in the data lake section of the Gartner Hype Cycle for Information Infrastructure, 2016, Donald Feinberg, Adam M. Ronthal, July 8, 2016.
Many companies consider the cloud for Hadoop and big data, but find it difficult to integrate with existing data centers. Lack of integration leads to cloud data silos, which are disconnected from other enterprise processes and make it difficult to deliver value. That's why Cazena services are delivered on a managed service platform, with built-in functions to securely move data and integrate the cloud seamlessly with on-premises infrastructure.
"Cazena's new Data Lake as a Service on Azure meets strong market demand to make big data infrastructure easier for analysts, business professionals and IT," said Prat Moghe, founder and CEO of Cazena. "Enterprises that trust Cloudera to deliver value and insights from big data and rely on Azure as their cloud platform now have a single, managed solution to accelerate time to insight for production projects without compromising on security and compliance."
"Customers are increasing revenue, delivering value to customers, and reducing business risks by making Cloudera Enterprise a core component of their modern data strategy," said Tim Stevens, vice president of corporate and business development at Cloudera. "Cazena's fully-managed, as-a-service offering on AWS and Azure allows customers to move faster, be more agile and easily expand the scope of their Cloudera Enterprise-based projects."
Data Lake as a Service addresses two primary use cases:
- Data Lake Expansion, Augmentation and Migration to Cloud – Many companies pilot Cloudera on-premises, then look to the cloud to quickly and easily scale for production. Cazena's new service simplifies the migration of Cloudera workloads from on-premises environments to the cloud for big data staging and processing, collecting and exploring cloud data sources like SaaS, Internet of Things, social or third-party datasets, and disaster recovery.
- Data Science and Analytic Sandboxes – Highly skilled scientists want to focus on advanced analytics, not infrastructure. They also want to use newer processing engines, such as Apache Spark, along with Java, Python and Scala, without all the troubleshooting required in DIY environments. Cazena supports existing development and analytics workflows while seamlessly managing infrastructure for data analysts and data scientists.
Cazena's Data Lake as a Service is available now on Microsoft Azure and AWS through a single annual subscription fee that includes database, cloud and all other licenses, data movers, security, 24/7 SLA monitoring and support.
Cazena's mission is to radically simplify data processing in the cloud, for faster business outcomes at a fraction of the cost. Cazena offers the first Big Data as a Service that is integrated into enterprise infrastructure. Companies can now securely leverage on-demand cloud data marts and data lakes without development or disruption to their data flow. Founded by former Netezza executives, Cazena is backed by Andreessen Horowitz and other leading investors. Learn more at www.cazena.com,
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