IoE Creates Big Data Opportunities
Cisco CTO Padmasree Warrior shows how using IoE intelligence can help you compete.
Implementing Big Data and Analytics Solutions for Business Success
Big data has become big business as businesses mine vast stores of data for insights that can help identify trends, predict behavior, and empower decision makers. From strategy to infrastructure, from access to analysis, Cisco helps you take full advantage of your data to create insight that leads to the right actions.
Learn what big data means and how revolutionary Cisco innovations deliver leading-edge infrastructure and analytics to you. Use our solutions to unlock the intelligence in your data, and gain a sustainable competitive advantage in your business.
Data is the lifeblood of applications. More and more it is the lifeblood of business itself. Big data is not just about the data, the results of web searches, credit card payments and machine logs. The real value is in the analytics and the ability to use that intelligence to gain a desired business outcome.
The Internet of Everything (IoE) is creating new use cases and possibilities that were inconceivable just a few years ago. The IoE enables billions of new connections between people, processes, things—and each of these connections can produce data.
Organizations that can find the intelligence in this data can create new sources of competitive advantage because the IoE will provide them with fundamentally better access to better data. Subsequently, we are now focused on connecting the computing resource as close as possible to the many sources and users of data.
Cisco has a broader strategy. We provide infrastructure and analytics to support Hadoop and our entire partner ecosystem.
However, vital data exists throughout your organization - in your data center, in the cloud, and at the very edge of your network. But it also exists well beyond your corporate boundaries. All of this data is the key to your success if you can reach it and use it when you need it.
Cisco provides unique solutions to connect all kinds of data wherever it is, bringing compute and analytics from the data center to the edge for faster insights and action. By helping you reach and analyze historical data, even data you may not even currently use, you take advantage of all of your data for richer analytics.
Analytics helps data move up the stack - to business-oriented activities with software, allowing users to evaluate data at the speed business demands.
As big data grows, the challenge to achieve better business outcomes will become more complex. The infrastructure you select, and the speed with which you implement customized analytics solutions can either help you win or allow you to lose.
IoE Data Engineering Challenges
Overcome IoE challenges with MapR and Cisco Big Data solutionsRead White Paper
Better Big Data Performance
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UCS Integrated Infrastructure
Learn how Cisco UCS helps accelerate the value of your Big Data workloadsDownload Paper
Cisco UCS Integrated Infrastructure for Big Data integrates industry-leading computing, networking, and management capabilities into a unified, fabric-based architecture optimized for big data workloads.
Cisco UCS Integrated Infrastructure for Big Data is a highly efficient, scalable, high-performance solution that can help your organization grow quickly and cost-effectively. Use it to deliver insights faster, and reduce total cost of ownership (TCO). Cisco UCS for Big Data innovations allow you to unlock the intelligence in your data to help you create a sustainable, competitive business advantage.
As enterprise big data workloads increase in size and complexity, the network will play a crucial role in ensuring workloads are completed and insights are timely delivered. Cisco offers an ideal solution to solve network constraints caused by increasing network traffic: Application Centric Infrastructure (ACI).
ACI can apply big data policies to dynamically load balance big data flows across racks in a multi-rack cluster. ACI can detect congestion on the top-of-rack switches and then re-route big data traffic using alternate pathways. The result is often triple-digit percentage improvements in the workload completion times and throughput of big data jobs.
As the Internet of Everything (IoE) era ushers in billions of new connections, a perimeter-based security approach alone is no longer sufficient. Cisco big data infrastructure is supported by an extensive security architecture that’s specifically designed to address the challenges of the IoE era.
In addition to our extensive portfolio of physical and virtual security appliances and firewalls, the Cisco Advanced Malware Protection (AMP) solution allows enterprises to move beyond static security defenses. AMP provides a continuous assessment model that encompasses what needs to be done before, during, and after security attacks. It’s an important component for successful big data deployments.
The true value from big data and analytics comes from acting on the insights found when connecting the unconnected.
Cisco brings together big data and analytics in a way no other company can. Currently, we can connect more people, processes, data, and things than any other company. We can also bring analytics to data wherever it is. No matter how big or how remote, we can help you turn information into action almost instantly.
We bring data access and analytics to the edge of the network to provide near-real-time information and insight. You can use these insights to change behavior, capture opportunity, respond to threats, and improve your business.
Learn more about comprehensive big data and analytics solutions from Cisco and our partners.
Cisco Connected Analytics are packaged analytics that take full advantage of Cisco networking technologies and data.
Cisco Data Virtualization is agile data integration software that makes it easy to access data, no matter where it resides.
Cisco Big Data Warehouse Expansion is a solution that assists customers with strategy, tools, and processes to reduce warehouse management costs by moving infrequently used data to low-cost big data stores.
Cisco Data in Motion extracts value from data before it is stored in order to act on the most relevant data while it is still in motion.
Cisco Prime Analytics provides a scalable, real-time analytics platform that allows adaptation to customer environments.
Cisco Tidal Enterprise Scheduler is a highly scalable workload automation solution that manages diverse business processes across a broad set of applications, systems, and environments.
Cisco UCS Director Express for Big Data
Cisco UCS Director Express for Big Data provides a single-touch solution that automates deployment of Hadoop on leading UCS CPA for Big Data infrastructure. It also provides a single management pane across both physical infrastructure and Hadoop software. All elements of the infrastructure are handled automatically with minimal user input. Through this approach, configuration of physical compute, storage, and networking infrastructure is integrated with the deployment of operating systems, Java packages, and Hadoop along with the provisioning of Hadoop services. It is also integrated with major Hadoop distributions to help ensure consistent and repeatable cluster configuration, relieving customers from manual operations.
Cisco UCS Director Express for Big Data offers:
Simplicity and Agility
Because the solution extends the service profile into the Hadoop application space, you gain a reliable and consistent mechanism to not only define the infrastructure, but also the Hadoop services running on the cluster. Hadoop admins get a systemwide perspective, which allows them to correlate Hadoop activity with network and compute activity on the Hadoop nodes.
Out-of-the-Box High Performance and Scalability
Built on top of UCS CPA for Big Data, this product delivers a Hadoop cluster designed for high performance and massive scalability.
Extensible and Programmable Management Framework
You can use the open northbound REST API to customize the solution, build add-on services, or integrate it with third-party applications.
Big data environments are pushing the performance limits of business processing solutions. Platforms such as Hadoop can help analyze large amounts of complex, unstructured data, but they require time-consuming management and can create service-level agreement (SLA) performance bottlenecks.
Cisco Tidal Enterprise Scheduler provides workload automation that facilitates the flow of data between a wide variety of applications like Hadoop, cutting costs and increasing the value realized from big data.
Cisco UCS Director Express
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