Shopping centres have been around for thousands of years, supposedly starting in Ancient Rome. The basic concept of a shopping centre has not changed much since then; a large building, or multiple buildings connected, which contain a variety of retail stores, services and restaurants. However, we at Land Securities, a commercial property group based in the UK, are changing the way customers experience shopping with our newest shopping centre, Trinity Leeds, “the mall of the future.” Read More »
The evolution of the Internet is a combination of integrative factors that improve connectivity, create networked economies and build immersive experiences to create an increasingly connected world known as the Internet of Everything (IoE). IoE brings together people, processes, data and things through networked connections. These connections offer value by turning information into actions that create new capabilities, richer experiences and unprecedented economic opportunities. Read More »
Welcome to 2015!
If you are like me, the New Year is a great opportunity to assess where I am at and where I am going. So let’s do that for Cisco Data Virtualization.
2014 – A Year of Exciting New Products
Before looking ahead at 2015, let’s first take a look at 2014 highlights.
2014 was an incredible year for new Cisco Data Virtualization products:
- In 2014, we shipped Cisco Information Server (CIS) 7.0, a major release of our flagship data virtualization offering. CIS 7.0 extended data virtualization to new audiences, enabled larger, more-complex deployments and integrated more data sources so our customers can run their businesses more effectively by leveraging all of their data.
- On the big data front, we announced Cisco Big Data Warehouse Expansion, 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.
- And with our December 11, 2014, Connected Analytics Portfolio announcement, Cisco added a rich suite of analytics solutions that help organizations capture insights that create new opportunities, simplify business operations, enhance the customer experience, and resolve potential threats.
2014 Adoption Success
2014 was full of amazing Customer Adoption successes as well. The individuals who drove a number of these successes were recognized with Data Virtualization Leadership Awards at the fifth annual Data Virtualization Day on October 1st at New York’s Waldorf Astoria.
- Paul Dzacko, Lead Architect, Risk Systems, BMO and James Evans, Architect & Project Manager, Client Portal, HSBC were awarded Data Virtualization Champion Awards in recognition of their leadership in consistently achieving and promoting data virtualization’s value across their organizations and the broader data integration market.
- Victor Campbell, Principal Architect, Long Island Power Authority (PSEG) received the High Impact Award in recognition of data virtualization leadership in an environment where the result was high impact and critical to the business.
- Pratima Botcha, Sr. Technical Architect, Information Technology, AT&T Services was given the High Impact Award for her work in enhancing business agility through use of data virtualization technology and methods, rapidly establishing a path for high value across the organization.
2015 Will Be Bigger Than Ever
In 2015 the pace of change across the enterprise data landscape will continue to accelerate, disrupting how organizations compete.
The biggest driver of change is massive messy data everywhere, spanning many sources – cloud, data warehouses, devices – and formats – video, voice, text, and images. This distributed data landscape increasingly relies on data virtualization to bring order to the chaos.
To meet these needs in 2015 and beyond, Cisco Data Virtualization’s strategy is multi-faceted including:
- Simplify Use And Adoption – To provide agile data access to today’s self-service business users, Cisco will expand beyond Business Directory, which was data virtualization’s first offering developed exclusively for business users.
- Expand Data Virtualization’s Core – To address more sources and higher volumes and more, Cisco will continue to broaden our platform to scale reliably for the largest workloads and most complex requirements.
- Leverage Cisco Technology – Fortunate to be part of Cisco, we will take advantage of a broad range of Cisco offerings including our Nexus interconnect capabilities, UCS servers, software such as Tidal Enterprise Scheduler and more.
- Bring Data Virtualization’s Benefits to Big Data – Cisco Data Virtualization will continue to strengthen big data deployments with significant data abstraction, federation, directory, delivery, security and governance functions.
- Enable Intercloud and Internet of Everything (IoE) – As Cisco pioneers new Intercloud and IoE solutions, Cisco Data Virtualization capabilities will expand to meet these new challenges.
Beyond capability advancements, Cisco will greatly expand our coverage, partnerships, Customer Advisory Community and more as we go to market globally. Stay tuned to this blog throughout 2015 as we make formal announcements.
Happy New Year!
Join the Conversation
Follow us @CiscoDataVirt.
Learn More from My Colleagues
One of the challenges we’re seeing in business today is the need to re-learn the problem solving process. This need is increasing demand for creativity as a critical competency of the consultant of the future – driven by how businesses capture value harnessing the connectivity and intelligence enabled by the Internet of Everything (IoE). Read More »
In Part 1 of this blog series, I talked about how data integration provides a critical foundation for capturing actionable insights that generate improved outcomes. Now, in Part 2, I’ll focus on the two other challenges that must be met to extract value from data: 1) automating the collection of data, and 2) analyzing the data to effectively identify business-relevant, actionable insights. This is where things, data, processes, and people come together.
Let’s start with automation.
After IoT data is captured and integrated, organizations must get the data to the right place at the right time (and to the right people) so it can be analyzed. This includes automatically assessing the data to determine whether it needs to be moved to the “center” (a data center or the cloud) or analyzed where it is, at the “edge” of the network (“moving the analytics to the data”).
The edge of the network is essentially the place where data is captured. On the other hand, the “center” of the network refers to offsite locations such as the cloud and remote data centers — places where data is transmitted for offsite storage and processing, usually for traditional reporting purposes. The edge effectively could be anywhere, such as on a manufacturing plant floor, in a retail store, or on a moving vehicle.
In “edge computing,” therefore, applications, data, and services are pushed to the logical extremes of a network — away from the center — to enable analytics knowledge generation and immediate decision-making at the source of the data.