October 19, 2013

ODBC Rocks!
Both OLE DB and ODBC are true native APIs for SQL Server in that they map API calls directly into SQL Server’s network protocol, Tabular Data Stream (TDS). When Microsoft recommended best practices are followed, ODBC is a very thin wrapper over TDS with no intermediate buffering between network packet buffers and the application. It therefore has excellent performance and scalability characteristics.

Portability challenges for government agencies moving to hybrid clouds
A key report finding is that while overall cloud spending will accelerate, federal agencies in the near-term will continue to leverage different cloud types (private, hybrid, public) based on their specific agency needs and concerns. The leading category of government cloud service is private, but public clouds and hybrid clouds continue to gain traction. As a result, many federal agencies will be employing a multi-cloud architecture.

Graphics Chips Help Process Big Data Sets in Milliseconds
Known as MapD, or massively parallel database, the new technology achieves big speed gains by storing the data in the onboard memory of graphics processing units (GPUs) instead of in central processing units (CPUs), as is conventional. Using a single high-performance GPU card can make data processing up to 70 times faster.

IBM unveils computer fed by 'electronic blood'
But for IBM to truly match the marvels of the brain, there is a third evolutionary step it must achieve - simultaneous liquid fuelling and cooling. Just as blood gives sugar in one hand and takes heat with another, IBM is looking for a fluid that can multitask. Vanadium is the best performer in their current laboratory test system - a type of redox flow unit - similar to a simple battery. First a liquid - the electrolyte - is charged via electrodes, then pumped into the computer, where it discharges energy to the chip.

The Challenges of Cloud Security Deployments
The complexity of the security landscape doesn't make this easier. A quick glance at network security reveals a diverse array of often-siloed solutions, some software, some hardware. These solutions frequently add even more data to the pile of Big Data demanding analysis, and that's just if they integrate well into the cloud security architecture in the first place. In many cases, these solutions are simply confusing and problematic to deploy in cloud environments.

Cloud To Dominate Data Center Traffic Within The Year, Cisco Study Predicts
Approximately 17 percent of data center traffic will be fueled by end users accessing clouds for web surfing, video streaming, collaboration and connected devices. Another seven percent will be traffic generated between data centers, primarily driven by data replication and software/system updates. An additional 76 percent of data center traffic will stay within the data center and will be largely generated by storage, production and development data in a virtualized environment.

Watch out, PayPal: Amazon's following the money
"Login and Pay with Amazon," which allows you to pay on other Web sites using your Amazon account, builds upon the web retailer's earlier Amazon Payments effort from a few years ago. If Amazon can get third-party merchants to integrate its log-in feature into their checkouts, Amazon's payment system would technically have more users than PayPal.

Mobile middleware: Data movement and application design best practices
A critical question with your mobile middleware application framework is the exposure of APIs. If you expect to support browser access (which likely you should), the basic application must present a RESTful front end. It's also expected that most mobile device applications use RESTful APIs. If you also intend to use RESTful APIs, design all your applications for Representational State Transfer (REST). Doing so means you can't presume the application will maintain state. That will be important when you look at your application-to-resource

The Shift to I/O Optimization to Boost Virtualization Performance
While hardware price per performance costs continue to come down, performance improvements are not keeping up with the rate of data growth and the need to extract value from that data. This performance chasm forces enterprises to purchase ever-increasing amounts of hardware to handle the increased I/O. As IT buys more storage, not for capacity but to spread I/O demand across a greater number of interfaces, organizations cannot fully capitalize on the promise of virtualization and other important technology trends.

What Does Next-Generation MDM Look Like?
The MDM Institute's 12 strategic planning assumptions for 2013-14 present an experience-based view of the key trends and issues facing IT organizations by highlighting master data management, data governance and related areas Master data management is quickly broadening its attractiveness both as a key enabler of strategic business initiatives as well tactical P&L initiatives. As of 2013, MDM is no longer "fast follower" technology strategy but is clearly a business strategy for the masses.

Quote for the day:

“The day you realize that your efforts and rewards are not related, it really frees up your calendar.” -- Scott Adams

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