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Harvesting BigData: How Farm Fields Boost Data Center Demand. Harvesting BigData: How Farm Fields Boost Data Center Demand. The company recently expanded its data center to add more capacity for data storage. Data is permeating everything we do. December 2006 (43). Convergence.
In DisasterRecovery Planning, Don’t Neglect Home Site Restoration - Following your initial Emergency Response Plan items, you should prioritize your Home Site Restoration, writes Michelle Ziperstein of Cervalis. IT Operations Analytics is better equipped to manage this kind of bigdata challenge. October 2006 (44).
BigData » Hewlett-Packard. MapR M7 is now available on Amazon Elastic MapReduce, Fruit of the Loom implements a Teradata Data Warehouse, and HP updates its ArcSight Security Analytics portfolio using bigdata to protect critical information and mitigate risk. Teradata Enhances BigData Analytics Platform.
IBM boosts its System z portfolio by acquiring CSL International, Actian leverages previous acquisitions to launch new cloud and bigdata platforms and EastWest Bank selects HP to build a private cloud for updating its infrastructure. ” Actian Launches DataCloud and bigdata analytics platforms. December 2006 (43).
DataStax Raises $45 million for Big Databases. DataStax Raises $45 million for Big Databases. The evolution of enterprise applications and rise of bigdata has eclipsed traditional database capabilities and provides an opening for a significant new market entrant,” said Andy Vitus, partner, Scale Venture Partners.
Dealing with this data volume, variety, velocity and complexity is really a “bigdata” problem for IT operations, forcing many traditional approaches in IT to change, ushering in IT Operations Analytics solutions to take on this challenge. IT Operations Analytics is better equipped to manage this kind of bigdata challenge.
This includes user information, workload replication and of course – bigdata. 365 Main Acquires Data Center in Bay Area – Data center operator 365 Main has expanded its presence in the San Francisco Bay Area with the acquisition of an Evocative, Inc. December 2006 (43). November 2006 (51).
Colleen covers the data center industry, including topics such as modular, cloud and storage/bigdata. Sign up for the Data Center Knowledge Newsletter. December 2006 (43). November 2006 (51). October 2006 (44). September 2006 (35). August 2006 (31). July 2006 (26). May 2006 (28).
Colleen covers the data center industry, including topics such as modular, cloud and storage/bigdata. Sign up for the Data Center Knowledge Newsletter. December 2006 (43). November 2006 (51). October 2006 (44). September 2006 (35). August 2006 (31). July 2006 (26). May 2006 (28).
Colleen covers the data center industry, including topics such as modular, cloud and storage/bigdata. Sign up for the Data Center Knowledge Newsletter. December 2006 (43). November 2006 (51). October 2006 (44). September 2006 (35). August 2006 (31). July 2006 (26). May 2006 (28).
. “ The new Windows 8 app and automated alerts provide IT decision makers with quicker access to the performance data of both existing and potential providers, so they can make well-informed decisions, in real time.” . RELATED POSTS: Cedexis Fusion Tames BigData Flows for Traffic Shaping. December 2006 (43).
He has more than 20 years of experience in assisting cloud, storage and data management technology companies as well as cloud service providers to address rapidly expanding Infrastructure-as-a-Service and bigdata sectors. December 2006 (43). November 2006 (51). October 2006 (44). September 2006 (35).
Colleen covers the data center industry, including topics such as modular, cloud and storage/bigdata. Sign up for the Data Center Knowledge Newsletter. December 2006 (43). November 2006 (51). October 2006 (44). September 2006 (35). August 2006 (31). July 2006 (26). May 2006 (28).
With software defined infrastructure as the strategic foundation, Bryant explained plans for how Intel will invest in rack scale architecture, bigdata and high performance computing (HPC) technologies. “Data centers are entering a new era of rapid service delivery,” said Bryant. December 2006 (43).
If anything, there’s a renewed need for it with the increased use of I/O-heavy applications such as databases and BigData platforms. December 2006 (43). November 2006 (51). October 2006 (44). September 2006 (35). August 2006 (31). July 2006 (26). June 2006 (37). May 2006 (28).
Harvesting BigData: How Farm Fields Boost Data Center Demand – Those fields of crops you drive past out in the country could be generating data center demand. December 2006 (43). November 2006 (51). October 2006 (44). September 2006 (35). August 2006 (31). July 2006 (26).
RELATED POSTS: Hybrid Packet-Optical Circuit Switch Networks are New Data Center Standard. With Switch Light, Big Switch Looks to Boost Open Source SDN. PMC Introduces 100G Optical Processor to Speed BigData Networks. Silicon Photonics: The Data Center at Light Speed. December 2006 (43). November 2006 (51).
December 2006 (43). November 2006 (51). October 2006 (44). September 2006 (35). August 2006 (31). July 2006 (26). June 2006 (37). May 2006 (28). April 2006 (16). March 2006 (30). February 2006 (21). January 2006 (23). DisasterRecovery. April 2007 (64).
IT Asset Management Integration: Newly enhanced version now has a common format for importing and synchronizing data – making a simpler and deeper connection to asset management tools to automatically share information. DCIM and BigData: FieldView, nlyte, Splunk. December 2006 (43). November 2006 (51).
At its annual Worldwide Partner Conference (WPC) this week in Houston Microsoft (MSFT) is focusing all attention on its transformation to a devices and services company – emphasizing the underpinning trends of cloud, mobility, bigdata and enterprise social. December 2006 (43). November 2006 (51). October 2006 (44).
BigData » Storage. Storage and bigdata companies Scality and WebAction receive funding to advance their offerings, and Avere Systems is selected for the Library of Congress and South American web hosting company Locaweb. ” RELATED POSTS: Storage News: SGI and Scality, Micron, Nimbus Data. Convergence.
Colleen covers the data center industry, including topics such as modular, cloud and storage/bigdata. Sign up for the Data Center Knowledge Newsletter. December 2006 (43). November 2006 (51). October 2006 (44). September 2006 (35). August 2006 (31). July 2006 (26). May 2006 (28).
As I mention in my blog, enterprises integrating external services require: - Identity and access management for each provider - Data compliance, legal and regulatory audit access across each provider - Security compliance systems - Provisioning, including capacity forecasting - Performance (e.g. BigData. (6). ► 2006. (2).
ability to use free pools of servers to re-purpose for scaling, failure, disasterrecovery, etc.). simplified higher-level services, such as providing fail-over, scaling-out, replication, disasterrecovery, etc. BigData. (6). Data Center efficiency. (1). ► 2006. (2). Data Center Design.
The 13 different functions are mapped onto the data center "stack" at right. They span management of both physical and virtual software, servers, I/O, networking, etc. -- as well as higher-level functions such as High-Availability and DisasterRecovery. BigData. (6). Data Center efficiency. (1).
And fast repurposing means you can deliver instant High Availability (HA), entire environment disasterrecovery (DR), and near-instant scaling (capacity-on-demand). BigData. (6). Data Center efficiency. (1). ► 2006. (2). Data Center Design. Subscribe to: Post Comments (Atom). Syndications.
One may be within a Tier-I data center with a relatively low response rate requirement and allowing users only 500MB of storage per mailbox. BigData. (6). Data Center efficiency. (1). ► 2006. (2). Data Center Design. Subscribe to: Post Comments (Atom). Syndications. Follow @Fountnhead. Contrarian. (14).
DisasterRecovery – expanding on the example above, if an entire domain of servers fails, the entire group of server IO states, networking states, etc. BigData. (6). Data Center efficiency. (1). ► 2006. (2). Data Center Design. IOV is agnostic to the workload! Syndications. Contrarian. (14).
Not all High Availability (HA) and DisasterRecovery (DR) is solved by VM technology. BigData. (6). Data Center efficiency. (1). ► 2006. (2). Data Center Design. Implicitly assumed in the market is that VMs are the panacea. But the reality is that not everything gets virtualized. Syndications.
And, if you can now logically re-define server and infrastructure profiles, you can also create simplified Disasterrecovery tools too. BigData. (6). Data Center efficiency. (1). ► 2006. (2). Data Center Design. Now: What’s the impact on costs? Subscribe to: Post Comments (Atom).
What It Means For IT Professionals "; they cite a recent joint Forrester and DisasterRecovery Journal survey regarding BC strategies. BigData. (6). Data Center efficiency. (1). ► 2006. (2). Data Center Design. Subscribe to: Post Comments (Atom). Syndications. Follow @Fountnhead. Contrarian. (14).
Along with enabling server consolidation, the software is delivering superior high availability (HA) and disasterrecovery (HA). Applications running in the data center include an order-processing service for the manufacturing industry, a content delivery system and Electronic Data Interchange (EDI). BigData. (6).
First, since we are an SEC-registered investment adviser with lots of confidential and sensitive information on our hands, issues regarding the security of our electronic files – both in terms of disasterrecovery as well the integrity of the company with whom we are entrusting to house our data – are paramount.
PAN Manager also enables SCBIT to make every application highly available at virtually no cost and provides a unique N+1 approach to disasterrecovery. BigData. (6). Data Center efficiency. (1). ► 2006. (2). Data Center Design. Subscribe to: Post Comments (Atom). Syndications. Topic Shortcuts.
2) DisasterRecovery: we can re-constitute an environment of server profiles, including all of their networking, ports, addresses, etc., BigData. (6). Data Center efficiency. (1). ► 2006. (2). Data Center Design. even if that environment hosts VMs and native OSs. Syndications. Topic Shortcuts.
Thus it is particularly well-suited to provide both high-availability (HA) as well as DisasterRecovery (DR) in mixed physical/virtual environments – eliminating the need for complex clustering solutions. BigData. (6). Data Center efficiency. (1). ► 2006. (2). Data Center Design.
Should they all fail, such as in a disaster, the entire configuration, down to each servers I/O, networks, VLANs, etc., Presto - instant DisasterRecovery (DR). BigData. (6). Data Center efficiency. (1). ► 2006. (2). Data Center Design. All this assumes mirrored SAN storage, of course.
I would expect the first-movers to adopt this wont be traditional enterprises -- but rather Service Providers, Hosting Providers and perhaps even IT DisasterRecovery operations looking to get into the IaaS and/or Cloud Computing space. BigData. (6). Data Center efficiency. (1). ► 2006. (2).
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