M9060-719 exam Dumps Source : Cloud and Smarter Infrastructure Storage Sales Mastery Test v5
Test Code : M9060-719
Test denomination : Cloud and Smarter Infrastructure Storage Sales Mastery Test v5
Vendor denomination : IBM
: 30 actual Questions
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Melbourne's a hundred-12 months-historic transportation community uses mobile know-how, clouds and massive statistics to manipulate its trains and infrastructure extra without problems.
by Samuel Greengard
working the world's largest trolley network is a daunting project. There are trains to carry on schedule, restoration considerations to control, and a necessity to maintain passengers advised about schedules and delays. subsequently, Yarra Trams, Melbourne, Australia's iconic one hundred-yr-historic network, is placing facts to labor in unusual and resourceful approaches.
"technology is now a vital fragment in how they control and operate the transportation network," explains Neil Roberts, director of guidance and Communications know-how (ICT) for Yarra Trams.
The firm, the operating identify for KDR Victoria, oversees 487 trolleys operating over 29 routes and 250 kilometers of double music. The trams achieve from three years brokendown to more than 70 years ancient and assist more than 185 million journeys yearly. In all, the corporation operates greater than 91,000 items of device and averages about 31,500 provider incidents per week. each piece of machine has between two and 50 information aspects.
"We suffer to contend with diverse music conditions, different infrastructure and distinctive equipment, but, through utter of it, they suffer to preserve trams working on agenda," Roberts explains.
Yarra Trams grew to become to IBM's Smarter Infrastructure technology to boos operations and tie collectively a various array of outfit and techniques. The atmosphere contains IBM Maximo cell expertise and MobileFirst options, in addition to a Maximo asset management software operating in an inside cloud.
The device, which contains WiFi at song and station areas, collects approximately three.7 gigabytes of information per day from loads of sensors embedded in tracks, trams and other machine. As trams flow through, they transmit records this is immediately uploaded birthright into a cloud. meanwhile, worker's enter statistics via mobile gadgets using WiFi and cellular connections.
facts is utilized in a brace of ways, however the simple focal point is on preventative renovation and retaining trains running on schedule. people at Yarra Trams can slice via performance facts, operational facts, and suggestions in regards to the circumstance of outfit in order to optimize protection and repairs.
The corporation besides depends on data to examine how and the dwelling to optimal installation different types of trams. using this information-centric approach, it has performed a service start stage of 99.13 percent and a punctuality flat of 82.63 %.
The technology additionally provides functional benefits for passengers. as an instance, it promises reside updates about tram arrival times and repair delays by means of an internally developed free mobile smartphone app known as tramTRACKER.
"A passenger can open the app and instantly determine what time trams will arrive at a particular station," Roberts explains. because of this, "it is feasible to more desirable manage your time and device ahead about when to achieve at a station." The gadget can additionally generate alerts when tremendous delays win location or a tram breaks down.
building and working a true-time transportation network has offered gigantic cost rate reductions and efficiency advantages to Yarra Trams. within the conclusion, he says, the technology has helped the firm transition into the twenty first century.
"we are in a position to unencumber and participate counsel in unusual methods, profit helpful insight into enhancing operational efficiency and enable world-category service to passengers," Roberts stories.
Mendix has optimised its platform for IBM Cloud, including sheperd for Kubernetes and single signal-on onboarding.
Mendix now works with IBM’s Watson AI capabilities, enabling developers to win talents of its low-code outfit to create AI-able applications and functions. developers can combine various capabilities into their creations, together with climate Channel content, App identity, and App Launch on IBM Cloud.
built-in uphold for Kubernetes potential developers can employ containerised infrastructure to construct their apps, too, even if a company is deploying apps on inner most, public, or hybrid cloud services. Mendix explained it will in the reduction of costs linked to cloud app building, with automated scaling throughout environments.
All applications agencies constructed on IBM’s cloud carrier the usage of Mendix may besides breathe monitored from a single dashboard, making it much simpler to develop and preserve dissimilar functions, the enterprise claimed.
“The goal of the Mendix-IBM Alliance is to location the convenience of drag-and-drop, low-code application development into the hands of the trade cloud market, leverage Watson’s AI capabilities for the largest number of clients, and vastly accelerate the time-to-value deployment of enterprise innovation,” observed Erno Rorive, senior product supervisor at Mendix.
“the mixing of the Mendix platform with IBM Cloud and Watson represents a golden triangle of enterprise-equipped options in order to power the next wave of sensible purposes to center of attention the vigour of AI on vertical trade options.”
The remaining addition to Mendix on IBM Cloud platform is uphold for built-in billing. as a result of Mendix is integrated into the IBM Cloud catalogue, corporations may besides breathe invoiced for utter their IBM features collectively.
I just received back from attending IBM suppose in San Francisco. though it become a short trip across the nation, i used to breathe inundated with IBM’s imaginative and prescient, masking issues from A (i.e. artificial intelligence) to Z (i.e. device Z) and everything in between.
despite the broad-ranging dialogue, IBM’s leading focal point was on three areas: 1) hybrid cloud, 2) advanced analytics, and three) security. as an instance, IBM’s hybrid cloud dialogue founded on digital transformation and leaned heavily on its purple Hat acquisition, while advanced analytics included synthetic intelligence (AI), cognitive computing (Watson), neural networks, and so on. To reveal its capabilities in these areas, IBM paraded out consumers similar to Geico, Hyundai credit corporation, and Santander financial institution, who are having a bet on IBM for video game-altering digital transformation projects.IBM's cybersecurity plans
As for cybersecurity, here are a few of my take-aways about IBM's plans:
IBM’s safety portfolio is pretty strong, and the company seems to breathe greater energized than during the past. After attending IBM consider, I effect suffer a brace of cybersecurity thoughts for individuals in Armonk and Cambridge, Massachusetts:
In prevalent, Armonk must win into account that the IBM manufacturer is a advertising and marketing impediment when competing for mindshare with providers like CrowdStrike, FireEye, Palo Alto Networks, and many others. as a consequence, IBM security should labor tougher and smarter to acquire the breathe alert out.
Many because of IBM for hosting me in San Francisco this week. I’ll breathe again at the Moscone core for RSA within the twinkle of a watch.
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Solutions provider takeaway: Because the inch to cloud computing platforms is happening quickly, solutions providers shouldn't waste time finding out how to analyze and test them. You will find this chapter excerpt is useful, because it offers information on what private clouds are and how they uphold optimize your customers' hardware and other resources.
The Process of poignant to the Clouds
Figure 11.2 depicts the high-level process they can leverage to find the birthright cloud computing category or categories and the birthright cloud computing provider or providers to inch the processes, services, and data they selected as suited cloud computing candidates.
Figure 11.2 This, the final step in their process, is utter about taking the process, service, and data requirements and mapping them to the birthright technology.
The core steps are as follows:
Let's peer 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 utter cloud computing platforms that may breathe a appropriate for your to-be architecture. This requires that you understand what solutions are available, their categories, and what they do.
There are no hard and hasty rules for defining a cloud computing solution. Thus, many software providers, whether they suffer a moral cloud computing solution or not, suffer a tenor to enlighten they do. For example, a few software vendors claim that since their software can breathe 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 breathe a bit about separating the wheat from the chaff, more so than just tossing together a list.
We effect 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 perceive an updated list of vendors and their categories.
In choosing your candidates, you must reply two key questions:
The categories you leverage depend on the final analytic architecture and the requirements you identified through this process. They can construct some generalizations, though, including the fundamental layers you require and what to peer for within each layer (see figure 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 fragment or utter 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 fragment of an infrastructure-as-a-service cloud computing provider.
Things you requisite to peer out for here are capacity and performance. Capacity is your competence to scale your storage needs to uphold your architecture. Performance is your competence to inch files to and from the cloud computing service at a precipitate that supports the business. Performance problems are the most likely issue here, so construct certain you effect 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 comprehend the competence for the cloud-delivered database to uphold the features and functions you may require for your architecture, including the employ of stored procedures and triggers, the duty of the API, adherence to standards, and performance.
Within the case of infrastructure-as-a-service, cloud computing providers typically allow you to leverage denomination brand databases, such as Oracle or MySQL. However, the database-as-a-service providers typically employ a homegrown rather than brand-name database, and they tend to breathe 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 ship large amounts of data to and from your enterprise to the cloud computing provider and back again over the Internet. This could besides construct 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 utter 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, construct certain to peer at the reliability of each provider. Typically, this means looking at the number of outages they experienced over a 2-year period. Also, peer at how they uphold failover and other recovery operations when events such as network, hardware, and software failures occur.
While many of these outages construct the IT press, the lesser known cloud computing providers often travel unnoticed when outages occur. construct certain to convene a few references -- both those the vendor provides and perhaps a few they effect not -- and put a question to about the frequency of outages. Also, if the cloud computing provider is good, it should suffer a record of outages, why they occurred, and what they are doing to prevent 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 utter 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 construct certain that integration occurs and is reliable.
Application-as-a-service providers typically effect 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 trade -- you can just leverage theirs. However, as with the process-as-a-service, the processes are isolated and thus must breathe linked back with other on-premise and cloud computing--delivered systems that are fragment 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 appear tempting to leverage "complete stack" providers, since they effect indeed provide one-stop shopping for cloud computing. However, you will suffer to construct trade-offs: You might like the application development features of one platform-as-a-service provider but disfavor the passage its product manages processes or find that its process engine is sluggish. In many cases, it may breathe 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 birthright appropriate 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 employ but cannot change.
The most common issue here is performance. Services such as Web Services (whether using relaxation or SOAP) tend to cause 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 breathe 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 complex and distributed architectures such as SOA and SOA using cloud computing, the requisite for standards to better define this space has arisen. These standards utter aim to bind together identity management systems within utter organizations into a unified whole, allowing for everyone to breathe known to everyone else, securely.
Why effect they requisite identity management? It is a fact that services are not for internal employ anymore, as is the case when leveraging cloud computing. Those who leverage services (consumers) and those who relent services (providers) must breathe 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 labor well for some types of architecture, governance systems that implement, manage, and enforce policies are runtime in nature and are typically on-premise.
Issues to peer out for here again comprehend performance, since, in some instances, executing policies could cause latency issues. besides significant is the governance solution's competence to govern resources, which are typically cloud-delivered services. This means having the competence 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 complex architecture, such as SOA using cloud computing, requires a management technology that can perceive both on-premise systems, which most do, and cloud computing--based systems, which only a few effect 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 plan is to provide a management platform that sees utter on-premise and cloud computing--based systems at the "working or not working" level, at the very least, sense they can perceive whether a system is down and how that status will influence other systems in the architecture. However, it is preferable to suffer a management system that can perceive 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 suffer very similar patterns.
Analyze and Test Candidate Platforms
Once you select the candidate cloud computing platforms, you requisite to construct certain they live up to the requirements they established. You effect this through some deep 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 effect not travel too deep 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 peer 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 breathe the wrong choices, which is why they effect the testing.
The only thing to add from Chapter 9 is the employ of performance modeling and performance testing. Modeling creates a simulation of how the system should discharge 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 breathe invoked, and how flow and invocation influence the different computing resources, both on-premise and cloud-based. You should suffer a generic plan as to what performance you can anticipate from the cloud computing platforms and how things such as decreasing processing power or expanding bandwidth should influence overall performance.
While proving the performance models, you should leverage performance testing, determining how well and how hasty 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 effect not discharge well, find out where the bottlenecks are: in the network? the database? services? If necessary, labor with the cloud provider to revise them.
Select Target Platforms
Once they travel through utter of the analysis, including a service-, process-, and data-level understanding of their problem domain, and suffer 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 effortless considering that any issue around the platform's competence to meet the requirements of the architecture, and thus the business, should breathe 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 breathe 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 intuition you construct the wrong call, or more likely, if some trade event occurs with the cloud computing platform, such as the cloud computing provider going out of trade or a merger or acquisition changes or removes that platform. Of course, this depends on the cloud computing provider you selected, its employ of standards, and your competence to find another provider that offers similar characteristics and features.
The trade issues are more significant if you are looking to create an SOA using cloud computing, since that scenario depends entirely on the cloud provider to tarry in trade and withhold up and running. You requisite to carefully consider
Deploy to Target Platforms
This is the "just effect it" step, sense that they actually port code; migrate data; create unusual services, processes, and databases; and test and validate that utter services, databases, and processes are working correctly and as defined, using the steps in this book.
The approach you should leverage here should breathe focused on migration and development over time, not a "big bang approach." You should select which components of the architecture should inch to or breathe created on the cloud computing platforms, going from the most significant to the least.
As you inch these architectural components to the cloud computing platforms, construct certain they are functioning correctly and suffer been properly tested before poignant on to the next architectural component. While the pressure may breathe on to construct "the huge 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, sense that your scholarship of how to construct cloud computing platforms labor for your architecture will expand significantly as they inch through this process.
Where social Networking Fits with Cloud Computing
Opinions on social 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." social networking has already been lumped in with cloud computing, so it is a suited plan to consider its value and risks. How will you integrate social networking within your SOA using cloud computing architecture? Now is a suited time to contour a set of policies.
It does not matter whether you understand the differences between MySpace and Facebook. Most of the people who labor in your enterprises, IT or not, leverage some sort of social networking system, and most peer at it at least once a day during labor hours. Assuming you could build your foot down and declare this stuff against policy, most employees would find that a bit too huge Brother--ish and would find a passage to effect it anyway, perhaps on their cell phones or PDAs. social networking in the workplace is a fact of life you must deal with, and perhaps it could breathe another point of value that comes down from the clouds.
To figure out the enterprise opportunities or risks involved with social networking, you first must define the reasons that people leverage social networking:
There are risks involved in online social networking, however. People can (and do) lose their jobs because of a posting on a social networking site that build their company at risk. People can breathe (and suffer 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 social networking as a mechanism to entrust a crime.
Here is the gist of it. social networking, in one contour or another, is always going to breathe 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 besides opportunities, such as the competence to leverage information gathered by social networking sites to enhance marketing and sales, and by integrating those systems with your core trade systems, both on-premise and cloud-based.
Make certain to define to utter employees when and where it is commandeer to leverage social networking within the workplace. Try not to breathe too restrictive, but instead inform them of what is a suited social networking practice and what is unacceptable. You will find that 99% of those who already leverage social networking are already using their heads.
Keep in intelligence that leads are being developed, sales made, and customers supported using social networking systems. Not surprisingly, the revise employ of social networking can suffer a very positive effect on the bottom line, especially considering the access to valuable information that these social networking sites provide and the competence to leverage that information to provide better trade intelligence to uphold the core trade systems. You may besides find that employee-to-employee communication improves using social networking systems, internal or public.
Make certain to labor with your legal department to define written policies for social networking, and construct certain utter employees are alert of and committed to adhering to these policies. The plan is to cover the company in case someone does something stupid. Again, you are mitigating the risk, not eliminating it.
Finally, monitor the employ of social networking sites with yardstick Web governance technology, including logging and trending. This is not to entangle a particular person who is leveraging social networking but to determine the patterns of employ over time. Also, if particular sites effect become a problem, you can shut them off.
What about Private Clouds?
Until now, they suffer yet to hit on the notion of private clouds, beyond their introduction in Chapter 1. It is significant 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 mighty approach to optimize the employ of hardware and software, and they can obtain the identical value by doing the identical trick within their data center 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 suffer and observations).
A private cloud, or more exactly, the employ of virtualization software such as VMWare, gives you the competence to address many physical servers as one virtual server and thus to leverage the processing power of utter computing resources as if they were a single resource. You can optimize the employ of utter 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 utter available servers, which improves the utilization of each computing resource.
The halt 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 competence 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 win edge of the cloud computing architecture. Many of them want to remain in control of their systems and information and suffer already invested in hardware and software, the cost of which cannot breathe recovered.
Again, private clouds are basically virtualized platforms, and utter 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 sign 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 effect much more with much less and to acquire smarter with sharing resources, both on-premise and remote. While cloud computing will clearly drive some aspects of modern enterprise architecture, the competence to create similar value within existing and paid-for data centers is a viable architectural option and should breathe considered in the mix.
New "Cloudy" Platforms
The activities outlined in this chapter picture some of the most fun you will suffer around cloud computing: actually poignant systems to the clouds and making those systems labor for the business. It is "doing" rather than planning or analyzing, but it is besides the trickiest of utter the activities they suffer outlined, and it carries the most risk.
In addition, unless you are reading this book well into the future, you know that the cloud computing platforms are a bit of a poignant target, sense that as the hype and the market heat up, unusual providers will emerge 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 effect not require the distribution of software to enterprises, and change will breathe an ongoing activity: constant upgrades, bug fixes, and other changes to the platform. Hopefully, these changes will inch the overall system in better directions and not shatter your architectural components that exist on these platforms -- they will breathe backward compatible.
What seems like an unnatural act today, as you relocate and create architectural components on cloud computing platforms, will appear second nature as time progresses. Clearly, as they inch 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 suffer seen throughout the book. SOA using cloud computing provides the competence 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 inch 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, tickle 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 expand 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 unusual 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 rescue 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 employ of this technology across multiple solutions, users can more easily compress bulky imagery files into manageable sizes while preserving the visual trait of the images."
As de facto standards adopted by GIS, CAD and remote sensing packages worldwide, ECW and JPEG 2000 accelerate the delivery and panoply of imagery to provide the best performance and user experience. Serving imagery as ECW files minimizes the impact of managing and distributing large 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 besides supported by open source geospatial packages such as GDAL, QGIS, GeoServer and MapServer.
ERDAS APOLLO users profit the most from ECW technology, with the competence to directly create, read and serve ECW files. Users can compress data to manageable sizes, while retaining the richness of the data trait and appearance, as well as employ the catalog to organize any data type 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, tickle 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 complex data. Businesses and governments in more than 60 countries depend on Intergraph's industry-specific software to organize vast amounts of data to construct 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 knowing maps, and protect captious 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 accountable for the SG&I U.S. federal business.
Intergraph is fragment 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. utter rights reserved. Intergraph is fragment 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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