Enterprise Management Associates (EMA) is a leading industry analyst firm that provides deep insight across the full spectrum of IT and data management technologies. EMA analysts, including Shawn Rogers who guides EMA’s Business Intelligent Research group, leverage a unique combination of practical experience, insight into industry best practices, and in-depth knowledge of current and planned vendor solutions to help their clients achieve their goals.
Shawn recently published an EMA Impact Brief on Cisco Big Data Warehouse Expansion. In it he examines the impact this solution brings to traditional data warehouse environments by better managing data, system growth and extending the analytic value delivered from a data warehouse investment.
In his Impact Brief, Shawn makes three important observations about how enterprises can benefit:
Cost Control: A common cost to traditional data warehouse environments is planning for the exponential growth of data. The Cisco solution analyzes the system, identifies data not in use (cold data) and provides a workflow and tools to offload the data onto Hadoop avoiding upgrade costs and extending the life of the data warehouse.
Improved Performance: By implementing an ongoing strategy to offload data from the primary system to Hadoop, the Cisco Big Data Warehouse Expansion solution frees up resources providing for better overall system performance. Additionally, Cisco deploys data virtualization technology that adds a layer of optimization for fast queries and simplified access spanning the original warehouse and the new Hadoop data store. Further, Cisco UCS servers are optimized for Hadoop workloads.
Added Analytic Value: Many companies are forced by the economics of data management to implement aggressive Information Lifecycle Management (ILM) policies removing data from critical systems to avoid costs. The Cisco solution helps customers keep more data online and available for deeper and more insightful analytics, therefore, adding value to the overall environment.”
The report ends with the following conclusion:
“EMA recommends that organizations that manage mature data warehouses investigate offloading as a strategy to expand and extend their data warehouse investment.”
If Shawn’s counsel makes as much sense to you as it does to me, then let’s get started.
Click here to download and read the entire report.
To learn more about Cisco Data Virtualization, check out our page.
To learn more about EMA research, analysis, and consulting services for enterprise line of business users, IT professionals and IT vendors at www.enterprisemanagement.com.
With Big Data, the Cloud and the Internet of Everything transforming our world, the possibilities are staggering. And status quo means falling behind. These truths drive Data Virtualization Day 2014’s theme: New Horizons, New Possibilities.
This year marks the fifth anniversary of Data Virtualization Day, the premier data virtualization industry event, where IT leaders stay informed of the latest trends and meet fellow innovators.
As host of Data Virtualization Day 2014, I would like to personally invite the entire data virtualization community to come together on October 1st, 2014, at the historic Waldorf Astoria in New York City, New York.
Our objective is to help you explore these new horizons and imagine these new possibilities. In particular, Data Virtualization Day will address:
Why Big Data, the Cloud and the Internet of Everything are transforming business and IT?
What new data virtualization-based solutions are on the horizon?
Who is achieving significant business outcomes today?
Maintaining the Data Virtualization Day tradition, the all-day agenda will feature three data virtualization user case studies, presented by those users. Past speakers have included CTO, CDO, and other executives from Goldman Sachs, Pearson, Comcast, NYSE, Franklin Templeton, Bank of America, Qualcomm, Sky Broadcasting and more. And we are lining up a power-packed line up again this year to provide you with complete, insiders’ views into their advanced data virtualization deployments including business challenges, organizational transformation, technology adoption, and more.
Watch highlights from our customer presenter at Data Virtualization Day 2013.
Beyond the user speakers, industry analysts and Cisco executives will provide insights into trends and solutions that you can use as you map for your business’s data integration strategy.
And furthering the Data Virtualization Day tradition, winners of the 2014 Data Virtualization Leadership Awards will also be announced. These are the best of the best. Enjoy as we celebrate their accomplishments.
So join me, along with data virtualization’s vanguard, to explore these new horizons and imagine these new possibilities. Registration is easy. And the event is free. Register now.
To learn more about Cisco Data Virtualization, check out our page.
Enterprises are seeking ways to improve their overall profitability, cut costs, reduce risk and more through better leverage of their data assets.
Significant volumes of complex, diverse data spread across various technology and application silos make it difficult for organizations to achieve these business outcomes. To further complicate matters, there is a range of problems such as
Separate access mechanisms, syntax, and security for each source
Lack of proper structure for business user or application consumption and reuse
Incomplete or duplicate data
And a mixture of latency issues
Data abstraction overcomes these challenges by transforming data from its native structure and syntax into views and data services that are much easier for business intelligence and analytics developers to use when creating new decision-making applications.
Enterprises can approach data abstraction three ways:
Manual data abstraction
Data warehouse schemas
Of the three approaches, data virtualization is the superior solution for data abstraction because it enables the most flexibility and agility when you need to provide simple, consistent, business–formatted data from different data locations and sources.
As a complement to Cisco’s Data Virtualization software and services, Cisco also provides data abstraction best practices that help you accelerate your data abstraction activities. Composed of three distinct layers (application layer, business layer and physical layer), these best practices support a data reference architecture that rationalizes multiple, diverse data silos for a range of BI and analytic applications. The architecture aligns closely with analyst best practices mapped out by both Forrester and Gartner on the topic of data virtualization. Using these best practices will enable your company to access the right data for the business, gain agility and efficiency, maintain end-to-end control, and increase security of your data across all your data silos.
To learn more about data abstraction best practices using Cisco Data Virtualization, check out our white paper.
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?
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.