M2010-719 exam Dumps Source : Cloud and Smarter Infrastructure Storage Sales Mastery Test v5
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Test title : Cloud and Smarter Infrastructure Storage Sales Mastery Test v5
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Melbourne's one hundred-12 months-old transportation community uses mobile know-how, clouds and massive statistics to manipulate its trains and infrastructure extra with ease.
by using Samuel Greengard
operating the world's greatest trolley network is a frightening task. There are trains to carry on schedule, fix considerations to control, and a necessity to hold passengers advised about schedules and delays. as a result, Yarra Trams, Melbourne, Australia's iconic one hundred-12 months-historic network, is inserting statistics to travail in original and creative approaches.
"know-how is now a crucial component in how they control and operate the transportation network," explains Neil Roberts, director of counsel and Communications know-how (ICT) for Yarra Trams.
The organization, the working title for KDR Victoria, oversees 487 trolleys running over 29 routes and 250 kilometers of double song. The trams latitude from three years historical to more than 70 years customary and abet greater than 185 million trips annually. In all, the difficult operates more than 91,000 items of device and averages about 31,500 carrier incidents per week. every piece of tackle has between two and 50 records features.
"We ought to cope with different music circumstances, distinctive infrastructure and diverse machine, but, through it all, they must hold trams running on time table," Roberts explains.
Yarra Trams turned to IBM's Smarter Infrastructure technology to oversee operations and tie together a diverse array of tackle and systems. The atmosphere contains IBM Maximo cell expertise and MobileFirst solutions, as well as a Maximo asset administration software operating in an interior cloud.
The device, which accommodates WiFi at music and station locations, collects about 3.7 gigabytes of data per day from lots of sensors embedded in tracks, trams and different device. As trams flow with the aid of, they transmit information it's immediately uploaded right into a cloud. meanwhile, laborers enter records via cellular instruments the consume of WiFi and cellular connections.
records is used in a yoke of techniques, but the primary focus is on preventative upkeep and retaining trains operating on schedule. employees at Yarra Trams can slice via efficiency statistics, operational information, and suggestions in regards to the circumstance of tackle in order to optimize renovation and repairs.
The organization additionally relies on facts to verify how and the status to superior deploy various kinds of trams. using this statistics-centric method, it has finished a provider dawn stage of ninety nine.13 percent and a punctuality degree of 82.63 %.
The expertise additionally gives functional advantages for passengers. as an instance, it delivers reside updates about tram arrival times and service delays via an internally developed free cell smartphone app known as tramTRACKER.
"A passenger can open the app and instantly examine what time trams will arrive at a selected station," Roberts explains. in consequence, "it's viable to more suitable control your time and diagram forward about when to gain at a station." The system can additionally generate alerts when immense delays consume vicinity or a tram breaks down.
building and operating a true-time transportation community has provided massive freight discount rates and performance advantages to Yarra Trams. within the end, he says, the know-how has helped the company transition into the twenty first century.
"we're in a position to free up and partake counsel in original ways, profit positive perception into improving operational efficiency and enable world-category carrier to passengers," Roberts reports.
Mendix has optimised its platform for IBM Cloud, including abet for Kubernetes and single signal-on onboarding.
Mendix now works with IBM’s Watson AI capabilities, enabling developers to consume skills of its low-code system to create AI-able applications and features. developers can integrate a number of capabilities into their creations, together with climate Channel content material, App identification, and App Launch on IBM Cloud.
built-in uphold for Kubernetes skill builders can consume containerised infrastructure to construct their apps, too, whether a enterprise is deploying apps on private, public, or hybrid cloud capabilities. Mendix defined it will sever back prices associated with cloud app building, with automated scaling throughout environments.
All purposes groups built on IBM’s cloud service the usage of Mendix can be monitored from a single dashboard, making it a powerful deal less difficult to promote and hold diverse functions, the traffic claimed.
“The demur of the Mendix-IBM Alliance is to location the convenience of drag-and-drop, low-code application progress into the fingers of the commercial enterprise cloud market, leverage Watson’s AI capabilities for the largest variety of clients, and vastly accelerate up the time-to-value deployment of company innovation,” mentioned Erno Rorive, senior product manager at Mendix.
“the combination of the Mendix platform with IBM Cloud and Watson represents a golden triangle of commercial enterprise-ready solutions as a passage to energy the next wave of sensible applications to headquarters of attention the vigour of AI on vertical trade options.”
The final addition to Mendix on IBM Cloud platform is steer for built-in billing. as a result of Mendix is built-in into the IBM Cloud catalogue, businesses can be invoiced for replete their IBM functions together.
I just bought again from attending IBM believe in San Francisco. although it turned into a short commute throughout the nation, i used to be inundated with IBM’s vision, masking themes from A (i.e. synthetic intelligence) to Z (i.e. device Z) and everything in between.
despite the broad-ranging dialogue, IBM’s main headquarters of attention became on three areas: 1) hybrid cloud, 2) superior analytics, and 3) safety. as an example, IBM’s hybrid cloud discussion based on digital transformation and leaned closely on its crimson Hat acquisition, while superior analytics covered synthetic intelligence (AI), cognitive computing (Watson), neural networks, and so forth. To disclose its capabilities in these areas, IBM paraded out valued clientele such as Geico, Hyundai credit score service provider, and Santander financial institution, who're having a ante on IBM for game-altering digital transformation projects.IBM's cybersecurity plans
As for cybersecurity, here are just a few of my take-aways about IBM's plans:
IBM’s protection portfolio is fairly solid, and the company looks to be extra energized than during the past. After attending IBM believe, I attain beget a few cybersecurity recommendations for individuals in Armonk and Cambridge, Massachusetts:
In usual, Armonk should withhold in intelligence that the IBM brand is a marketing impediment when competing for mindshare with companies like CrowdStrike, FireEye, Palo Alto Networks, and so forth. for this reason, IBM security must travail more durable and smarter to obtain the notice out.
Many thanks to IBM for hosting me in San Francisco this week. I’ll be back on the Moscone headquarters for RSA in the blink of an eye fixed.
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Solutions provider takeaway: Because the pace to cloud computing platforms is happening quickly, solutions providers shouldn't fritter time finding out how to anatomize and test them. You will find this chapter excerpt is useful, because it offers information on what private clouds are and how they abet optimize your customers' hardware and other resources.
The Process of moving to the Clouds
Figure 11.2 depicts the high-level process they can leverage to find the right cloud computing category or categories and the right cloud computing provider or providers to pace the processes, services, and data they selected as powerful cloud computing candidates.
Figure 11.2 This, the final step in their process, is replete about taking the process, service, and data requirements and mapping them to the right technology.
The core steps are as follows:
Let's gape at each step in more detail.
List Candidate Platforms
Listing candidate platforms is pretty simple considering the information presented earlier. You requisite to list any and replete cloud computing platforms that may be a apt for your to-be architecture. This requires that you understand what solutions are available, their categories, and what they do.
There are no difficult and mercurial rules for defining a cloud computing solution. Thus, many software providers, whether they beget a accurate cloud computing solution or not, beget a current to assure they do. For example, a few software vendors title that since their software can be downloaded over the Web to an on-premise computing system, they are an on-demand or cloud computing platform. They are not. Therefore, this step can be a bit about separating the wheat from the chaff, more so than just tossing together a list.
We attain not list cloud computing providers in this book, since that world changes monthly, with providers constantly being added, deleted, or combined. Mastery of SOA using cloud computing is as much about keeping up with the market space as it is about understanding what the vendors provide. In uphold of this process, you can visit the book's Web site to observe an updated list of vendors and their categories.
In choosing your candidates, you must acknowledge two key questions:
The categories you leverage depend on the final ratiocinative architecture and the requirements you identified through this process. They can execute some generalizations, though, including the fundamental layers you require and what to gape for within each layer (see design 11.3):
Figure 11.3 The core architecture requires you to find places for storage, data, operations, governance, security, services, and processes.
Storage is the category that supports piece or replete of the architecture in storing, sharing, and managing file systems. You typically leverage storage-as-a-service for this, either from a cloud computing provider that only provides storage-as-a-service, or as piece of an infrastructure-as-a-service cloud computing provider.
Things you requisite to gape out for here are capacity and performance. Capacity is your talent to scale your storage needs to uphold your architecture. Performance is your talent to pace files to and from the cloud computing service at a accelerate that supports the business. Performance problems are the most likely issue here, so execute certain you attain your testing.
Database and database-as-a-service is the storage and retrieval of data using a platform-as-a-service, database-as-a-service, or infrastructure-as-a-service. Things you requisite to consider here embrace the talent for the cloud-delivered database to uphold the features and functions you may require for your architecture, including the consume of stored procedures and triggers, the role of the API, adherence to standards, and performance.
Within the case of infrastructure-as-a-service, cloud computing providers typically allow you to leverage title brand databases, such as Oracle or MySQL. However, the database-as-a-service providers typically consume a homegrown rather than brand-name database, and they minister to be more proprietary in nature.
Performance comes into play here as well. Most on-premise and traditional applications are data I/O bound, so you will find that similar performance problems may exist here. consider the overhead of I/O on a multitenant platform and the latency that can occur when you route big amounts of data to and from your enterprise to the cloud computing provider and back again over the Internet. This could also execute a case for placing the database closer to the processes and services that leverage that database, which is a core tenet of architecture when you consider performance and the reliability of databases.
Always Check on the Frequency of Outages
For replete of this to work, reliability is a core requirement of your cloud computing provider. As you select cloud computing providers for your to-be architecture, execute certain to gape at the reliability of each provider. Typically, this means looking at the number of outages they experienced over a 2-year period. Also, gape at how they uphold failover and other recovery operations when events such as network, hardware, and software failures occur.
While many of these outages execute the IT press, the lesser known cloud computing providers often pace unnoticed when outages occur. execute certain to convoke a few references -- both those the vendor provides and perhaps a few they attain not -- and query about the frequency of outages. Also, if the cloud computing provider is good, it should beget a record of outages, why they occurred, and what they are doing to obviate such outages in the future.
Processes can exist on process-as-a-service, platform-as-a-service, application-as-a-service, and infrastructure-as-a-service providers, for the most part. You requisite to consider a few issues here.
When using process-as-a-service providers, withhold in intelligence that processes are replete they do. You must therefore bind the other architectural components (typically services and data) to those processes. The data and service assets exist either within on-premise systems or with other cloud computing providers, so you must execute certain that integration occurs and is reliable.
Application-as-a-service providers typically attain not provide a platform for you to create your own processes but allow you to leverage prebuilt processes on their platform. This is handy because, for instance, you requisite not create a custom fulfillment process for your traffic -- you can just leverage theirs. However, as with the process-as-a-service, the processes are isolated and thus must be linked back with other on-premise and cloud computing--delivered systems that are piece of the architecture.
When considering infrastructure-as-a-service providers and platform-as-a-service providers, you are typically dealing with platforms that provide the "complete stack," including storage, database, processes, applications, services, development, testing, and more. These processes are just a component of those platforms. It may look tempting to leverage "complete stack" providers, since they attain indeed provide one-stop shopping for cloud computing. However, you will beget to execute trade-offs: You might carefor the application progress features of one platform-as-a-service provider but loathe the passage its product manages processes or find that its process engine is sluggish. In many cases, it may be better to leverage other cloud computing providers or even on-premise software to address processes, trading simplicity for complexity but leveraging a process engine that is the right apt for the architecture.
Services (e.g., Web Services), generally speaking, can live on most cloud computing platforms. However, only a few (including platform-as-a-service, process-as-a-service, and infrastructure-as-a-service) provide the capabilities to create and host services through which application-as-a-service and information-as-a-service provide access to their hosted prebuilt services, which you can consume but cannot change.
The most common issue here is performance. Services such as Web Services (whether using relaxation or SOAP) minister to occasions performance problems if the platform hosting the service cannot provide enough computing resources, or if there are too many services and they saturate the platform and the network. Again, you requisite to test for performance by actually using the services, and adjust your platform, the number of services you leverage, and the passage those services are designed to optimize the performance of your architecture.
Security is not a platform or a piece of software that exists on-premise or on cloud computing platforms. If done right, it should be systemic to the holistic architecture, no matter how much of it is on-premise or cloud computing--delivered. You address security by creating a strategy and a model to secure your architecture based on the requirements you identified. Then you select the proper approach and supporting enabling technology. Security typically centers on identity management and the standards that uphold identity management.
With the increasing interest in identity management, in uphold of more knotty and distributed architectures such as SOA and SOA using cloud computing, the requisite for standards to better define this space has arisen. These standards replete aim to bind together identity management systems within replete organizations into a unified whole, allowing for everyone to be known to everyone else, securely.
Why attain they requisite identity management? It is a fact that services are not for internal consume anymore, as is the case when leveraging cloud computing. Those who leverage services (consumers) and those who bear services (providers) must be known to each other; otherwise, they risk invoking malicious or incorrect behavior, which could cost us dearly. This is clearly the case with cloud computing that leverages services.
Governance brings its own set of issues when considering architecture and cloud computing. While there are governance systems that are cloud delivered, and they travail well for some types of architecture, governance systems that implement, manage, and invoke policies are runtime in nature and are typically on-premise.
Issues to gape out for here again embrace performance, since, in some instances, executing policies could occasions latency issues. also primary is the governance solution's talent to govern resources, which are typically cloud-delivered services. This means having the talent to track remote services within the governance technology's repository as well as to monitor those services during runtime.
Management of a widely distributed and knotty architecture, such as SOA using cloud computing, requires a management technology that can observe both on-premise systems, which most do, and cloud computing--based systems, which only a few attain well. Moreover, you should check whether the cloud provider has an interface on their software that allows management technology to talk to it.
The core understanding is to provide a management platform that sees replete on-premise and cloud computing--based systems at the "working or not working" level, at the very least, import they can observe whether a system is down and how that status will finger other systems in the architecture. However, it is preferable to beget a management system that can observe systems such as services, processes, data, storage at more granular levels, which makes it much easier to diagnose issues and spot troubles before they happen.
Management and governance are clearly linked and beget very similar patterns.
Analyze and Test Candidate Platforms
Once you select the candidate cloud computing platforms, you requisite to execute certain they live up to the requirements they established. You attain this through some profound dives into each candidate platform you selected and then through testing.
We covered testing extensively in Chapter 9, "Testing from SOA to the Clouds," so they attain not pace too profound into it here. However, this testing is a bit different in that you are actually testing the generic capabilities of the cloud computing platform. Specifically, you gape at how that cloud computing platform will uphold the requirements of the architectural components, including services, data, and processes, but you are not yet deploying on those platforms. They could be the wrong choices, which is why they attain the testing.
The only thing to add from Chapter 9 is the consume of performance modeling and performance testing. Modeling creates a simulation of how the system should accomplish under different types of loads, typically light, medium, and heavy. Performance testing determines how the architecture performs under stress. It involves modeling the architecture, including how the information will flow and the services will be invoked, and how flow and invocation finger the different computing resources, both on-premise and cloud-based. You should beget a universal understanding as to what performance you can anticipate from the cloud computing platforms and how things such as decreasing processing power or expanding bandwidth should finger overall performance.
While proving the performance models, you should leverage performance testing, determining how well and how mercurial the holistic architecture, both on-premise and cloud-based, will uphold the business. Moreover, measure how the system performs during an ever-increasing storage, database, process, and service-processing load. If they attain not accomplish well, find out where the bottlenecks are: in the network? the database? services? If necessary, travail with the cloud provider to reform them.
Select Target Platforms
Once they pace through replete of the analysis, including a service-, process-, and data-level understanding of their problem domain, and beget considered both security and governance, compiled a list of candidate systems, and completed the validation testing, it is time to pick the cloud computing platforms.
This step is pretty easy considering that any issue around the platform's talent to meet the requirements of the architecture, and thus the business, should be well known and understood by now. Also, withhold in intelligence that it is more likely that the final selection of the suite of target cloud computing platforms is very different from what you first envisioned, but if you did your homework and followed each step in this book, they should be the proper platforms for your architecture.
Also worth mentioning is the ease of switching, or should they say, the relative ease of switching, from one cloud computing platform to another if for some judgement you execute the wrong call, or more likely, if some traffic event occurs with the cloud computing platform, such as the cloud computing provider going out of traffic or a merger or acquisition changes or removes that platform. Of course, this depends on the cloud computing provider you selected, its consume of standards, and your talent to find another provider that offers similar characteristics and features.
The traffic issues are more primary if you are looking to create an SOA using cloud computing, since that scenario depends entirely on the cloud provider to remain in traffic and withhold up and running. You requisite to carefully consider
Deploy to Target Platforms
This is the "just attain it" step, import that they actually port code; migrate data; create original services, processes, and databases; and test and validate that replete services, databases, and processes are working correctly and as defined, using the steps in this book.
The approach you should leverage here should be focused on migration and progress over time, not a "big bang approach." You should select which components of the architecture should pace to or be created on the cloud computing platforms, going from the most primary to the least.
As you pace these architectural components to the cloud computing platforms, execute certain they are functioning correctly and beget been properly tested before moving on to the next architectural component. While the pressure may be on to execute "the immense switch," the reality is that this evolutionary approach prevents problems and does not overwhelm those who deploy services, data, and processes to the cloud computing platforms. Also, this approach provides the value of learn-as-you-go, import that your erudition of how to execute cloud computing platforms travail for your architecture will extend significantly as they pace through this process.
Where companionable Networking Fits with Cloud Computing
Opinions on companionable networking vary widely, from "No way, it's too risky" to "It's a passage of life; you might as well learn to leverage it for productivity." companionable networking has already been lumped in with cloud computing, so it is a powerful understanding to consider its value and risks. How will you integrate companionable networking within your SOA using cloud computing architecture? Now is a powerful time to form a set of policies.
It does not matter whether you understand the differences between MySpace and Facebook. Most of the people who travail in your enterprises, IT or not, leverage some sort of companionable networking system, and most gape at it at least once a day during travail hours. Assuming you could build your foot down and declare this stuff against policy, most employees would find that a bit too immense Brother--ish and would find a passage to attain it anyway, perhaps on their cell phones or PDAs. companionable networking in the workplace is a fact of life you must deal with, and perhaps it could be another point of value that comes down from the clouds.
To design out the enterprise opportunities or risks involved with companionable networking, you first must define the reasons that people leverage companionable networking:
There are risks involved in online companionable networking, however. People can (and do) lose their jobs because of a posting on a companionable networking site that build their company at risk. People can be (and beget been) publically embarrassed by posting pictures, videos, or other information they thought would be, uhm, private. Also, there are many cases of criminal activity using companionable networking as a mechanism to confide a crime.
Here is the gist of it. companionable networking, in one form or another, is always going to be around. So if you are doing enterprise IT, including cloud computing, you might as well accept it but learn how to govern through education, policies, and perhaps some technology. While there are risks, there are also opportunities, such as the talent to leverage information gathered by companionable networking sites to enhance marketing and sales, and by integrating those systems with your core traffic systems, both on-premise and cloud-based.
Make certain to define to replete employees when and where it is commandeer to leverage companionable networking within the workplace. Try not to be too restrictive, but instead inform them of what is a powerful companionable networking exercise and what is unacceptable. You will find that 99% of those who already leverage companionable networking are already using their heads.
Keep in intelligence that leads are being developed, sales made, and customers supported using companionable networking systems. Not surprisingly, the reform consume of companionable networking can beget a very positive effect on the bottom line, especially considering the access to valuable information that these companionable networking sites provide and the talent to leverage that information to provide better traffic intelligence to uphold the core traffic systems. You may also find that employee-to-employee communication improves using companionable networking systems, internal or public.
Make certain to travail with your legal department to define written policies for companionable networking, and execute certain replete employees are cognizant of and committed to adhering to these policies. The understanding is to cover the company in case someone does something stupid. Again, you are mitigating the risk, not eliminating it.
Finally, monitor the consume of companionable networking sites with gauge Web governance technology, including logging and trending. This is not to tangle a particular person who is leveraging companionable networking but to determine the patterns of consume over time. Also, if particular sites attain become a problem, you can shut them off.
What about Private Clouds?
Until now, they beget yet to hit on the notion of private clouds, beyond their introduction in Chapter 1. It is primary that they dive a bit deeper into the concept here as an architectural option for their SOA using cloud computing while they select platforms for deployment.
Private clouds are cloud computing--like infrastructures that leverage virtualization and exist within private data centers. The core notion is that cloud computing is a powerful approach to optimize the consume of hardware and software, and they can obtain the identical value by doing the identical trick within their data headquarters using virtualized resources, or private clouds. Most computing resources, such as database servers, application servers, and governance servers, are underutilized, typically running at only 5% of their capacity at any given time (based on my experience and observations).
A private cloud, or more exactly, the consume of virtualization software such as VMWare, gives you the talent to address many physical servers as one virtual server and thus to leverage the processing power of replete computing resources as if they were a single resource. You can optimize the consume of replete hardware and software resources more so than if they were bound to a particular hardware and software platform. The virtualization software can commandeer the process load between replete available servers, which improves the utilization of each computing resource.
The remain result is that you can uphold more data, services, and processes on a fewer number of servers, and this virtualization mechanism reduces costs. This approach is called private clouds because it features many of the identical benefits of cloud computing, including the talent to reduce costs.
Enterprises are interested in private clouds because, in many instances, they cannot host their data outside of their firewalls due to privacy and legal issues, but they want to consume odds of the cloud computing architecture. Many of them want to remain in control of their systems and information and beget already invested in hardware and software, the cost of which cannot be recovered.
Again, private clouds are basically virtualized platforms, and replete of the issues that virtualization has attempted to resolve in past years is applicable here. The patterns of virtualized platforms and the patterns of some cloud computing platforms, such as infrastructure-as-a-service, are almost identical other than the location of processing and provisioning. Where public clouds are for anyone who can symptom up, and in many instances the cloud users are not verified, private clouds allow only authorized persons, or internal users, to provision themselves on the private clouds.
Many view this utilization of virtualization systems as simply jumping on the bandwagon to ride the cloud computing wave. However, it is the reality of the forthcoming modernization of the enterprise: the requisite to attain much more with much less and to obtain smarter with sharing resources, both on-premise and remote. While cloud computing will clearly drive some aspects of modern enterprise architecture, the talent to create similar value within existing and paid-for data centers is a viable architectural option and should be considered in the mix.
New "Cloudy" Platforms
The activities outlined in this chapter delineate some of the most fun you will beget around cloud computing: actually moving systems to the clouds and making those systems travail for the business. It is "doing" rather than planning or analyzing, but it is also the trickiest of replete the activities they beget outlined, and it carries the most risk.
In addition, unless you are reading this engage well into the future, you know that the cloud computing platforms are a bit of a moving target, import that as the hype and the market heat up, original providers will materialize weekly, and existing providers will pack in as much functionality as they can to capture the market.
Cloud computing platforms are easily changed, since they attain not require the distribution of software to enterprises, and change will be an ongoing activity: constant upgrades, bug fixes, and other changes to the platform. Hopefully, these changes will pace the overall system in better directions and not split your architectural components that exist on these platforms -- they will be backward compatible.
What seems like an unnatural act today, as you relocate and create architectural components on cloud computing platforms, will look second nature as time progresses. Clearly, as they pace many of their services, processes, and data out to the clouds, clouds will become a major component of enterprise architecture and SOA.
SOA using cloud computing is the best architectural approach, as you beget seen throughout the book. SOA using cloud computing provides the talent to address computing resources using the best viable configuration, and it matters not where those computing resources reside. They continue to extend them to the clouds, and more clouds will surely appear.
Making the pace to Cloud Computing Cloud computing provider services and platforms Cloud computing platforms: Migrating and testing
This chapter excerpt is from the book, Cloud Computing and SOA Convergence in Your Enterprise: A Step-by-Step Guide, authored by Dave Linthicum, published by Addison-Wesley Professional, Sept. 2009, ISBN 0136009220, copyright 2010 Pearson Education, Inc. For a complete TOC, delight visit the publisher site: www.informit.com/title/0136009220
Miscellaneous SoftwarePress Release Summary:
FeaturingÂ Enhanced Compressed Wavelet (ECW) v3 support, 16-bit support, andÂ compression algorithm, ERDAS ECW/JP2 SDK v5 increases flexibility and performance for ECW and ISO JPEG 2000 image compression formats. Organizations can compress petabytes of imagery down to 5% of its original size, fostering efficient management and delivery of data while preserving image quality. ISO-certified JPEG 2000 isÂ numerically lossless compressed image format commonly used for geospatial imagery.Original Press Release: Intergraph® Increases the Power of Image Compression
Read and Create Image Compression Formats in Third-Party Applications via the Latest Version of ERDAS ECW/JP2 SDK
HUNTSVILLE, Ala.--Intergraph(®) has released an updated SDK that will extend flexibility and performance for the industry-leading Enhanced Compressed Wavelet (ECW) and ISO JPEG 2000 image compression formats.
The latest version of ERDAS ECW/JP2 SDK, Version 5, allows software developers to enable rapid and efficient file handling in their applications by including robust uphold for selected wavelet compression formats and protocols. The original release includes uphold for ECW Version 3, 16-bit uphold and a re-architected compression algorithm for vastly improved performance.
"Users worldwide depend on their ECW technology to reclaim time during imagery processing and transfer, and reduce the hardware requirements for their geospatial workflows," said Mladen Stojic, Vice President - Geospatial, Intergraph. "By expanding the consume of this technology across multiple solutions, users can more easily compress bulky imagery files into manageable sizes while preserving the visual attribute of the images."
As de facto standards adopted by GIS, CAD and remote sensing packages worldwide, ECW and JPEG 2000 accelerate the delivery and display of imagery to provide the best performance and user experience. Serving imagery as ECW files minimizes the impact of managing and distributing big image data, ultimately reducing hardware and network costs. Organizations can now compress petabytes of imagery down to five percent of its original size, enabling faster, more efficient management and delivery of data, while preserving image quality. ISO-certified JPEG 2000 is a numerically lossless compressed image format commonly used for geospatial imagery.
The ERDAS ECW/JP2 SDK has produced stable, high-quality commercial applications for over 10 years, and consistently enables third party developers to provide the robust and unrivalled imagery uphold their customers expect. ECW uphold is virtually ubiquitous across leading geospatial and CAD software packages, including those from Intergraph, as well as software from AutoDesk, Blue Marble, CadCorp, ENVI, ESRI ArcGIS, Geomatica, LizardTech, GeoExpress, FalconView, Global Mapper, MapInfo, Manifold System, MicroStation, and Smallworld. ECW is also supported by open source geospatial packages such as GDAL, QGIS, GeoServer and MapServer.
ERDAS APOLLO users profit the most from ECW technology, with the talent to directly create, read and serve ECW files. Users can compress data to manageable sizes, while retaining the richness of the data attribute and appearance, as well as consume the catalog to organize any data kind in their enterprise into one comprehensive library. With ERDAS APOLLO, you can easily disseminate extensive archives to multitudes of end-users without putting extra pressure on enterprise systems.
To learn more about ERDAS ECW/JP2 SDK, delight visit the official product page on geospatial.intergraph.com.
Intergraph is the leading global provider of engineering and geospatial software that enables customers to visualize knotty data. Businesses and governments in more than 60 countries depend on Intergraph's industry-specific software to organize vast amounts of data to execute processes and infrastructure better, safer and smarter. The company's software and services empower customers to build and operate more efficient plants and ships, create bright maps, and protect censorious infrastructure and millions of people around the world.
Intergraph operates through two divisions: Process, Power & Marine (PP&M) and Security, Government & Infrastructure (SG&I). Intergraph PP&M provides enterprise engineering software for the design, construction, operation and data management of plants, ships and offshore facilities. Intergraph SG&I provides geospatially powered solutions, including ERDAS technologies, to the public safety and security, defense and intelligence, government, transportation, photogrammetry, and utilities and communications industries. Intergraph Government Solutions (IGS) is a wholly owned subsidiary of Intergraph Corporation amenable for the SG&I U.S. federal business.
Intergraph is piece of Hexagon (Nordic exchange: HEXA B), a leading global provider of design, measurement, and visualization technologies that enable customers to design, measure and position objects, and process and present data.
© 2013 Intergraph Corporation. replete rights reserved. Intergraph is piece of Hexagon. Intergraph and the Intergraph logo are registered trademarks of Intergraph Corporation or its subsidiaries in the United States and in other countries. Other brands and product names are trademarks of their respective owners.
CONTACT: Stephanie Deemer, Executive Manager Public Relations/Government Relations, +1.256.730.1075, Stephanie.Deemer@Intergraph.comRelated Thomas Industry Update
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