Scarcity, as an economics term, applies to “the basic economic problem, the gap between limited – that is, scarce – resources and theoretically limitless wants.”1 By this definition, there isn’t a scarcity of data today. In fact, the instrumentation of sensors and the proliferation of mobile devices are guaranteeing organizations large and small more data than they can handle.
However, as data deluged as many organizations have been, nearly every industry is looking to drive competitive advantage by fully understand business trends and make real-time decisions. To do so, organizations need to make sense of all the data available to them, regardless of sources, regardless of structure.
In the world of big data, there certainly is scarcity ofinsights. Or to state more accurately, there is a scarcity of ways to quickly and economically turn data into insights.
In order to turn the abundance of data into valuable insights, it requires two foundational components of a data management platform: 1) an analytics-ready infrastructure, and 2) a comprehensive data management and analytics solution. And the common trait these two components must have is versatility. Without versatility, this new data management platform will not be able to meet the ever-changing requirements of new and old data workloads, and ultimately be no different from all the legacy solutions.
Cloudera Enterprise, the industry’s fastest, easiest, and most secure modern data platform, plays the role of the data management and analytics solution. It is designed to meet the requirements of various workloads, ranging from simply data ETL all the way to advanced data science and machine learning. With a comprehensive set of enterprise-grade data management and analytics components, Cloudera facilitates businesses with increased insights into their customer base, improved operational efficiencies (for both products and services), and reduced business risks.
Cisco, on the other hand, complements Cloudera with analytics-ready, purpose-built Cisco Validated Design and reference architecture to handle data-intensive computing workloads. With close partnership in the last several years, Cloudera Enterprise runs seamlessly on and works intelligently with the Cisco Unified Computing Systems (UCS), and now also available on the new storage-optimized server category, UCS S-Series. Together Cloudera and Cisco give you:
- Faster performance with easy access to data – Cloudera Enterprise allows you to open your data access funnel and create value from data through various workloads, including batch processing, analytic SQL, interactive search, machine learning, and statistical computation.
- Simplified management for big data at scale – Integration between Cloudera Manager and Cisco UCS Director Express for Big Data delivers seamless scalability for Hadoop environments as data volumes grow, while reducing complexity and improving response times.
- Enterprise-class security on Hadoop-based Cisco deployments – Cloudera Enterprise, with perimeter security, access control, data visibility, and data protection control functionalities, allows Cisco clients to leverage the benefits of Hadoop for big data insights without compromising their security requirements.
With the new Cisco UCS S-Series, Cloudera customers can deploy a holistic solution across data-intensive workloads with increased performance and reduced deployment risk through tested, validated, supported designs.
As your data workloads change and your data volume grows, Cloudera and Cisco UCS S-Series can grow to meet your needs without slowing down your business. For more information, visit: www.cisco.com/go/bigdata.