Cisco Blogs


Cisco Blog > Data Center and Cloud

Save Big Money with Big Data

Data in data warehouses doubles every 2.5 years. For users, this means more data to analyze, leading to better business outcomes. That’s the good news. The bad news is that this extra storage capacity and computing power comes at a cost. A high cost it turns out.

So what is an enterprise to do?

Keep writing bigger and bigger checks to the data warehouse vendor? At least the business can take advantage of the extra data?

Or should they move some of the lesser-used data to tape? That will save money. But it will also limit business access to this now “off-line” data which may mean missed business opportunities.

What if there was a third option that would preserve the on-line access for the business analysts and control these escalating costs for IT?

Cisco’s new Big Data Warehouse Expansion solution announced this week at Cisco Live provides this third option.

Log in here to access the presentations at Cisco Live on Cisco’s new Big Data Warehouse Expansion.

Cisco Big Data Warehouse Expansion is a new offering that combines hardware, software and services to help customers control the costs of their ever-expanding data warehouses by offloading infrequently used data to low-cost big data stores. Analytics are enriched as more data is retained and all data remains accessible.

Components in the solution include:

  • Cisco UCS optimized for big data stores.
  • Cisco Data Virtualization for federating multiple data sources.
  • Appfluent VisibilityTM to deliver analytics on business activity and data usage across Teradata, Oracle / Exadata, IBM DB2, IBM Netezza, IBM® PureData™ for Analytics and Hadoop.
  • Cisco Services methodology for assessing, migrating, virtualizing and operating a logically expanded warehouse.

If you are looking for a solution to your rising enterprise data warehouse costs, look no further than Cisco.

Follow us @CiscoDataVirt to stay up to date on the latest news!

Tags: , , , ,

Explosive Growth in Mobility and Location-based Marketing

lbs1

It’s exciting to watch the explosive growth of mobile and hyper local based services. Mobile location based services and marketing is rapidly becoming BIG business, with an estimated $4.5B of mobile advertising being location based (rising to over $10B by 2017).

Let’s look at some of the fundamental factors, drivers and numbers behind this growth to put it into context. Read More »

Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Wrap-up: Cisco at HPC for Wall Street

We recently returned from another great experience at the High Performance Computing Linux for Wall Street event in New York on April 7, 2014. This year’s 11th annual HPC conference focused on big data, HPC applications, data centers fabrics, cloud economics, low latency and how these technologies are all changing the way global financial markets are evolving. As usual, the industry’s top minds from various financial trading firms were in attendance to learn how to gain a competitive edge using the latest innovations in technology.Panel Closeup

This year, I was asked to take part in a panel discussion about the evolution of the high performance trading fabric and where we are heading. Our session discussed the newest and next wave of innovations that are addressing scalability, optimizing application performance, enabling event-based dynamic decision-making, enhancing analytics in support of risk/compliance, and taking accuracy to the next level. The top question being asked is, “How can I ensure performance and intelligence in the changing technology landscape?” Read More »

Tags: , , , , ,

How Retail’s New “4 P’s of Performance” Will Transform the Industry

Retail success has always been about delivering on the “4 Rs”: getting the Right products to the Right place at the Right time and for the Right price. While that success formula remains valid, technology-enabled advancements promise to disrupt how — and how well — retailers will be able to deliver on each element.

“Omnichannel” is a theme that has dominated retailers’ mindshare the last several years as digital influence and mobile connectivity become bigger and bigger elements in the shopping journey. Now emerging are the Internet of Everything (IoE) and Big Data analytics. While pervasive IoE connectivity generates a deluge of data, new analytics tools are helping to turn this raw data into actionable insights. The mashup of omnichannel, Big Data, and IoE is positioned to drive new operational benchmarks through a focus on the retail industry’s new “4 Ps of Performance”: Precision, Personalization, Prediction, and Platforms.

PSchottIoERetail

Read More »

Tags: , , , , , , ,

Evolution towards the Data-Driven Enterprise

Data has always been important for many (if not all) companies. Today however it is becoming increasingly easier to collect data about customers, business transactions, devices etc…, . This data enables companies to (more dynamically) optimize their business models and processes and differentiate themelves from their competitors. Before embarking on a (Big) data strategy it is important to understand what is driving this evolution and what are basic Screen Shot 2014-04-07 at 10.45.42architecture building blocks to take into account when transforming into a more data driven enterprise.

Several trends are fueling the evolution towards a more data-driven enterprise: Price/performance improvements in network, storage and computing and the rise of Cloud computing , make it more cost effective to deploy large IT infrastructures and capture data. New data management technologies and products such as Hadoop (MapReduce) and NoSQL/NewSQL provide scalable and more cost effective solutions than traditional SQL databases for various classes of problems.  The IT consumerization trend results in departments more actively pursuing analytics capabilities. Another important trend is the Internet of Things (IoT): The advent of cheaper sensors and improved connectivity are bridging the gap between the physical and digital world, enabling collecting data from more devices and environments. This sensorization is unlocking the potential to gather enormous amounts of data and details about almost everything.

These trends are creating new challenges and opportunities to harness and understand the data tsunamis, and leverage the analytics for decision making purposes, to better monitor, control, and understand complex systems from business dashboards to IoT eco-systems. Read More »

Tags: , , , , ,