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C2120-800 IBM PureApplication System V1.1, System Administration

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C2120-800 exam Dumps Source : IBM PureApplication System V1.1, System Administration

Test Code : C2120-800
Test title : IBM PureApplication System V1.1, System Administration
Vendor title : IBM
: 85 real Questions

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IBM IBM PureApplication System V1.1,

IBM 'mini' PureApplication system can cause sticker shock | killexams.com real Questions and Pass4sure dumps

IBM has rolled out a raft of latest PureSystems in response to its verve 7+ processor, together with a mini version of its PureApplication tackle that some IT execs exclaim expenses too lots for an entry-level offering.

the brand novel IBM PureApplication device comes in two configurations: a 32-core configuration and a 64-core configuration, each x86-based. This device is obtainable starting at $31,000 per thirty days with 0% financing over 36 months, which amounts to $1.116 million.

The PureApplication system consists of converged infrastructure and application that immediately installs and scales functions. IBM pushes its more simple PureFlex programs, which start at $100,000, for managed service suppliers (MSPs), and may present pay-as-you-go pricing for MSPs registered as IBM industry partners handiest. PureApplication is in keeping with PureFlex, but with middleware and database application woven in to instantly set up Java purposes.

while now not marketed in particular for small- to medium-sized businesses, the mini model will present companies with restricted budgets a "cloud in a box," in line with an IBM press free up.

however the IBM PureApplication tackle adds price, it does not jibe with the great charge difference, observed one impartial utility vendor confederate who presents application on both programs.

"It leads us to execute employ of PureFlex extra significantly as an alternative of PureApplication," pointed out Panos Konstantinidis, co-founder and enterprise approach director for OneTree solutions, makers of PriceLenz utility based mostly in Luxembourg.

it would be pleasant if the PureFlex pay-as-you-go charge blueprint offered to MSPs could be offered to industry customers as well, Konstantinidis mentioned.

For an commercial enterprise person, the option for a brand novel infrastructure is both PureFlex or a power 7+ server environment orchestrated with IBM methods Director. even though there are novel PureApplication "patterns" -- IBM's identify for the computerized application-deployment utility that incorporates PureApplication -- there aren't enough of them that swimsuit the company's wants.

"PureFlex is a extra established-intention device," notable Nigel Fortlage, a CIO at a huge Canadian international change provider company.

The case for IBM PureApplication

the two techniques even fill two distinctive audiences, spoke of Joe Clabby, president of Clabby Analytics primarily based in Yarmouth, Maine.

those that are interested in PureFlex want to tinker with hardware components the employ of a unified administration midplane provided with the aid of IBM, whereas folks that retrograde for PureApplication wish IBM to attain total the integration travail and tuning concerned in deploying a complete software.

The cost delivered with the aid of IBM doing total of the integration and tuning is worth the can permeate of admission, Clabby talked about, when weighed towards the amount of labor and time involved in deploying an software infrastructure within a firm.

"it's both pay me now or pay extra later to attain it your self," he observed. "PureApplication may additionally cost more, nevertheless it lowers your exposure to failure, which is an outstanding meet for valued clientele concerned about lofty availability and reliability."

IBM claimed that customers who've carried out enterprise cost assessments with the PureApplication gadget fill saved up to $5 million over three years.

New energy 7+ server squares off with x86

IBM will present novel fashions of its Power7+ servers, dawn at $5,947, which some industry watchers exclaim is aggressive with comparable x86-primarily based methods.

"So regularly, x86 systems within the volume house are positioned as extremely competitive price-wise," said Jonathan Eunice, analyst for Nashua, N.H.-primarily based Illuminata Inc. "however add on things dote VMware licensing and clustering utility, and value floods returned in."

IBM's tackle x server line begins at around $three,000 for a single-processor gadget, based on the IBM website. VMware's vSphere habitual begins at $995 per processor, plus $273 for basic back and subscription.

it be not going that many shops will start from x86 to Linux on power, analysts spoke of, however for those with latest energy-based mostly techniques, it may well be reassuring.

"The real challenge for IBM is to convince people that Linux on verve is really Linux, and apps will simply run, and an option processor might not trigger compatibility issues," Eunice talked about.

Beth Pariseau is a senior intelligence creator for SearchCloudComputing.com and SearchServerVirtualization.com. Write to her at bpariseau@techtarget.com or comply with @PariseauTT on Twitter.


IBM introduces novel PureData system | killexams.com real Questions and Pass4sure dumps

focused on commercial enterprise purchasers, after PureFlex and PureApplication programs, IBM has added the third member in its PureSystems family. Named IBM PureData gadget, it is purposefully designed for huge statistics cloud home tackle via providing information capabilities to quite a lot of applications.

the brand novel PureData gadget family is constructed from two primary platforms. PureData gadget for Transactions, which is aimed toward enhancing records administration fees, and PureData gadget for Analytics, which is designed to resolve great volumes of facts.

PureData system for Transaction is a scalable database platform designed with convenient deployment, optimization and administration of transactional database workloads. Touted as an authority built-in system, it specializes in enabling the system to automatically complete ongoing administration projects which is designed to ease the workload for database staff, promises factory-optimized methods that are designed out-of-the-field for scalability and reliability for a greater streamlined gadget integration and a reduced total can permeate of operation.

It comes with aid for current DB2 functions, constructed-in database compatibility points permitting emigrate Oracle Databases to IBM PureData device with minimal software change according to IBM.

PureData gadget for Analytics comes in two models: PureData device for Analytics and Operational Anaylitics, with the former incorporating greater than 200 in-database analytics services, developed-in PMML four (Predictive mannequin Markup Language) support, in-database geospatial analytics, records filtering with programmable hardware, asymmetric and parallel processing structure supporting petabyte scale, lone integrated management console and line of serve in addition to other points.

PureData tackle for Operational Analyticsis designed to set up, control and optimize records-intensive workloads for operational analytics, coming as an out-of-the-box respond and is in a position to coping with greater than a thousand concurrent operational queries.

image: Dmitriy Shironosov/Shutterstock


Sorry IBM – a huge sphere is not A Platform As A carrier | killexams.com real Questions and Pass4sure dumps

In April, IBM rolled out a huge novel desktop referred to as IBM PureApplication systems, a member of the PureSystems know-how family unit.

at the time, I  called IBM out for calling it a “PaaS in a field.” It jogged my reminiscence of Larry Ellison calling Oracle’s hardware a “cloud-in-a-container” lower back in 2010. well, IBM is continuing its PaaS washing. Krishnan Subramanian just tweeted about a novel IBM post that went up today that’s titled:”Open 24x7x365: The IBM open PaaS and private cloud platform.”

Pure programs technology is IBM’s version of a converged infrastructure. It’s designed for implementation inside an commercial enterprise statistics middle. It’s a great box technology with converged compute, storage and networking. It’s in keeping with patterns expertise, that means expertise about total features of building. deploying and managing functions is hardened into the skilled integrated system. Patterns near from the skills developed through customer engagements and IBM’s mammoth event in constructing out facts centers.

It combines construction and virtualization environments into one field. It gives the client optimization, consolidation, a valuable residence for apps to quicken with the elasticity that “cloud” gives.

In the day before today’s submit, IBM’s Michael Maximilien describes it as follows:

almost, the IBM PureSystems offering combines an infrastructure-as-a-provider (IaaS) substrate with a platform-as-a-carrier (PaaS) layer that furthermore gives potential to codify workload add-ons into patterns.  With these patterns, users can with ease deploy workloads and functions in a predictable and repeatable style.

This view is counter to the definition of a PaaS. a fair PaaS is a cloud computing provider that removes the complexity required for developers to construct their personal application stacks. As Wikipedia features out, the issuer provides the networks, servers and storage.

In April, Krishnan cited why it makes no feel to summon PureSystems a PaaS.  feel if you wanted to boost a brand novel cloud centric app. Would you necessity  an impressive integrated answer dote PureSystems? No. You’d are looking to deploy throughout a distributed environment.

instead, IBM simple systems is proper for consolidating records facilities and operating legacy apps. but to title it a PaaS is a fair stretch.


C2120-800 IBM PureApplication System V1.1, System Administration

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C2120-800 exam Dumps Source : IBM PureApplication System V1.1, System Administration

Test Code : C2120-800
Test title : IBM PureApplication System V1.1, System Administration
Vendor title : IBM
: 85 real Questions

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IBM PureApplication System V1.1, System Administration

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IBM introduces novel PureData System | killexams.com real questions and Pass4sure dumps

Targeting enterprise clients, after PureFlex and PureApplication Systems, IBM has introduced the third member in its PureSystems family. Named IBM PureData System, it is purposefully designed for huge data cloud appliances by providing data services to various applications.

The novel PureData System family is comprised of two major platforms. PureData System for Transactions, which is aimed at improving data management costs, and PureData System for Analytics, which is designed to resolve great volumes of data.

PureData System for Transaction is a scalable database platform designed with light deployment, optimization and management of transactional database workloads. Touted as an expert integrated system, it focuses on allowing the system to automatically complete ongoing administration tasks which is designed to ease the workload for database staff, promises factory-optimized systems that are designed out-of-the-box for scalability and reliability for a more streamlined system integration and a reduced total cost of operation.

It comes with back for existing DB2 applications, built-in database compatibility features allowing to migrate Oracle Databases to IBM PureData System with minimal application change according to IBM.

PureData System for Analytics comes in two versions: PureData System for Analytics and Operational Anaylitics, with the former incorporating more than 200 in-database analytics functions, built-in PMML 4 (Predictive Model Markup Language) support, in-database geospatial analytics, data filtering with programmable hardware, asymmetric and parallel processing architecture supporting petabyte scale, lone integrated management console and line of back as well as other features.

PureData System for Operational Analyticsis designed to deploy, manage and optimize data-intensive workloads for operational analytics, coming as an out-of-the-box solution and is capable of handling more than 1000 concurrent operational queries.

Photo: Dmitriy Shironosov/Shutterstock


IBM adds analytics-specific boxes to PureSystems line | killexams.com real questions and Pass4sure dumps

  • Post
  • IBM (s ibm) is again expanding its PureSystems line of converged hardware, this built specifically for analytics. When the company debuted the first PureSystems, which combine compute, networking and storage, in April, huge Blue said it had spent three years and $2 billion developing the line.

    The company’s novel PureData System for Analytics features Netezza technology, which enables analytics inside databases. The novel York Stock Exchange is already using the system to spot trading peculiarities that might warrant investigations, said Phil Francisco, vice president of huge data product management at IBM.

    Advertisement

    “They sustain track of every factor of trading activity on their trading floors daily,” Francisco told me. “… And they’re able to attain analysis on seven years of data.” The system furthermore monitors systems-level data and shows if there’s enough capacity to maneuver major changes in trading volumes.

    To capitalize on growth markets and attain industry with companies with lower IT infrastructure budgets, IBM is furthermore releasing a miniature version of the PureApplication system for quickly deploying applications.

    Also novel is a PureFlex converged system — with compute, networking and storage total in one — targeting managed service providers. The system precludes setup and system administration, which can sever costs. It furthermore simplifies the process of adding capacity on infrastucture in the data center, Francisco said.

    IBM arrived to the converged-hardware party well after Oracle (s orcl) unveiled its Exadata Database Machine, a database appliance and several specialized boxes, including the huge Data Appliance. (Updated: IBM disputes this, claiming it was working on data warehouse appliances back in 2003.) EMC(s emc) is furthermore in this market with the Greenplum Data Computing Appliance.

    In October, following the introduction of the PureData line, my colleague Stacey Higginbotham questioned whether huge data needs a specialized box. The real development, she wrote, was not the technological achievement but the acknowledgment that providing easy-to-use services is important.

    This narrative was updated Tuesday after IBM objected to a suggestion that Oracle had beaten it to market with converged hardware, citing travail in 2004 on data-warehouse appliances.


    Typical Usages of Appliances | killexams.com real questions and Pass4sure dumps

    This chapter is from the book 

    While the appliances are quite versatile and can thus be used to decipher many different types of problems (and implementers fill been quite creative in this regard), they find there are a few common employ cases that are typical. These generally focus around security, performance, cost savings, and integration. In the following sections, they contend each of these in more detail.

    Solving Security Problems

    Let’s reflect about what it would rob to deploy a software-based proxy product in the DMZ. Each of the layers of the ‘typical server’ shown in device 1-2 requires specialized skills to install and maintain. Particularly for DMZ deployments, the server hardware itself must be hardened. In highly secure environments, this can involve removing any components that might allow information to be taken from the server, such as USB ports and writeable CD/DVD drives. The operating system must furthermore be hardened, removing components such as telnet and sendmail.3 Often, this results in other layers of the software stack not installing or operating properly! If you are successful in installing the application software stack, it must be hardened as well. These are common requirements for lofty security environments such as pecuniary companies, intelligence services, and military applications.

    Although software-based DMZ components can be hardened successfully, it is a lot of work. Compare this with the simplicity of installing a dedicated, highly secure hardware appliance, purpose built to attain a few things well with fairly simple administrative interfaces, as shown in device 1-3.

    The appliances are hardened out of the box. For example:

  • They are designed with security in intellect from the ground up, before anything else.
  • They are shipped secure by default; virtually every feature is disabled, including the network adapters and administrative interfaces (except for the serial port used to attain initial bootstrap). If you want something, you must rotate it on!
  • They fill an encrypted file system.
  • They fill no Java, print services, or shareable file system.
  • They are tamper-proof—backing out the screws on the case disables the appliance.
  • They fill specialized secure handling of crypto keys and certificates.
  • They fill an embedded operating system, not supine to known exposures of common OSs.
  • They reject messages by default, unless specifically accepted by configured policies.
  • The age-old rule for the DMZ is to terminate client connections there and then proxy connections to the backend from the trusted DMZ servers. However, in the sphere they find even more stringent security policies that attain not warrant any traffic (even proxied through these secure intermediaries) to the backend until the client is authenticated and authorized. This is referred to as perimeter security and is an increasingly common requirement, driving sales of DMZ security products such as TAM. Later, they argue how DataPower appliances can furthermore decipher this problem.

    Another requirement for DMZ components is to virtualize or veil the implementation details of backend servers and applications. Typical DMZ products interact only with the protocol layer of the network stack, so they can veil things dote hostname/IP, ports, and URIs, whereas XML-centric application proxies such as DataPower appliances can virtualize on a much more intellectual basis and can resolve the entire message stream.

    A strong judgement for using these types of appliances is the burgeoning risk of systems becoming compromised by XML-based threats. Just as once upon a time they felt HTTP to be innocuous, today they are susceptible to underestimating what can be done by virtue of XML. In Chapter 20 “XML Threats,” they argue how entire infrastructures can be brought down using small, simple, well-formed XML files. Only hardware appliances fill the processing power to check for the many variations of XML threats.

    Another common security problem is a mismatch in the specification levels or credential formats of various technologies across great corporate IT infrastructures. For example, account a marketing IT silo running on Microsoft®.NET using WS-Security 1.0 and SPNEGO credentials for identity and a manufacturing silo using IBM WebSphere Application Server (WAS), WS-Security 1.1, and LTPA credentials for identity. In today’s ESB-driven SOA architectures, a lone transaction may fill to pass through both environments, so this presents challenges. Because DataPower appliances incorporate a wide range of the latest specification implementations and credential formats, they can be used to transform messages and credentials to meet the target each step of the way. Notice that this can be used to achieve cross-platform single-signon (SSO), although that furthermore depends on other factors such as having a common registry.

    To Lower Total Cost of Ownership (TCO)

    Refer back to the scenario in device 1-2, where there are numerous skills required to install and maintain a typical server and software stack. Now reflect of this in terms of the staff required and cost to the organization. With self-contained appliances where the operating system and file system characteristics are extraneous from an administrative perspective, this becomes much less work. The function of the appliances is dedicated and streamlined, hence the administrative tasks and interfaces minister to be as well. For example, in the scenario in device 1-2, you fill to continually install fixes and updates at every layer of the stack. However, for appliances, you typically attain this by uploading a petite firmware update and rebooting, which takes only minutes. In the server scenario, you fill multiple different administrative consoles to manage the layers of the stack; with the appliances, you fill only one console.

    The TCO return does not solely manifest itself in the setup and administration of the platform. account the silo sample in the prior section—where various areas of a corporate IT infrastructure are running Web services across different platforms, such as those from IBM, Microsoft, and BEA. If the corporation has one set of policies for security and SLM that necessity to be implemented across total these platforms, then it must be done multiple times, by multiple people, with skills on each platform. Not only is the configuration redundant and therefore expensive, but this problem is repeated each time it needs to change, and there is always the risk that the policy will not be implemented exactly the same on each platform, which can lead to security holes or application failures. This is depicted in device 1-4.

    Figure 1-4

    Figure 1-4 Redundant administration versus simplified appliance model.

    A more concrete sample can be implemented by creating a lone service that acts as a Web service proxy on the DataPower appliance, importing the WSDL files for the Web services providers on each of those backend platforms, and then applying the security and SLM policies on the proxy, thereby gaining policy definition and enforcement one time for total platforms. total this is based on standards that they contend later, not only Web services itself, but furthermore the accompanying standards such as WS-Security for security, WS-Policy for policy definition, WS-Addressing for endpoint resolution, and WS-Management and WSDM4 for management.

    Enhancing Performance

    XML is the foundation on which many modern architectures are built—it has evolved into SOAP for Web services and is create across the breadth and depth of the SOA stack and related specifications. Over time, it has evolved from a simple markup language to something quite knotty and sophisticated. Of course, the problem as far as performance is concerned is that XML is fairly light for humans to read, but not for computers. It is a verbose representation of data and typically requires significant resources in terms of CPU power and reminiscence to process. This overhead is typically create in parsing the XML document into an in-memory representation and in validating the XML against its schema file.5

    Consider the repercussion of parsing and validating the storm of XML/SOAP documents that hit your systems during peak production levels. Now account the overhead of security that may be embedded in those messages—validating client identities against LDAP servers, verifying digital signatures, and decrypting encrypted data. This requires a tremendous amount of processing power and time and robs precious cycles away from what your backend systems should really be doing—focusing on transactional industry logic! furthermore account the absolute fritter of expending these cycles for messages that near in badly formed, with schema violations or illegitimate security issues. The cycles expended on processing them and handling the errors are wasted. device 1-5 shows a graph demonstrating the CPU overhead of various common tasks. (Notice the parsing flush is low here—the main hit when parsing is reminiscence utilization.) Notice the repercussion of security operations. This can be helped significantly with hardware-assisted acceleration, but the cost-benefit of hardware acceleration boards is often debated. furthermore note that abusing these security features to consume CPU resources is one course of mounting attacks.

    A imposing solution for this, of course, is to employ appliances to attain total that massive lifting at near wire speed. As you will observe when they contend the appliance characteristics, they are amazingly lickety-split and can maneuver these tasks at orders of magnitude faster than software-based solutions running on touchstone servers. Now focus on another scenario—one where the appliance makes sure that only clean traffic gets to the backend systems. Imagine the huge differential in available processing power on the backend if the validation and security tasks are done by the time the traffic gets there. The appliances can validate schemas, verify signatures, decrypt the data, and more. This can often result in huge performance returns, depending on considerations such as message sizes, cipher strengths, network latency, and so forth.

    Speaking of message sizes, this is often another major stumbling cloak for Java-based software systems processing XML. In modern day real-world systems, they are now seeing huge SOAP messages on the order of hundreds of megabytes or even gigabytes in size. The conundrum is how to process these, given constraints on maximum JVM heap sizes in many platforms. Due to aggressive built-in streaming and compression, appliances can maneuver messages larger than their actual reminiscence space.

    On another message-related topic, account applications that attain XML transformation between differing schemas; for example, an application that consumes XML purchase orders and must understand a variety of incoming purchase order formats from industry partners, and then transforms each into the one “golden” purchase order schema that this company uses. These transformations can be quite expensive to process (see device 1-5) and result in bloated application code. They total know that line-for-line, application code is expensive in terms of programmer time, testing, and debugging. Now account the consequence on the application if the transformations were moved out to the appliance on the frontend so that the backend application now gets only the one “golden” schema format. Yes, their application has gone on quite a diet, is less expensive to maintain, and is much faster. One sphere scenario consisted of a frontend cluster of Java EE applications to attain such transformations to sustain the cluster of industry logic applications behind it lightweight. However, since this was running on a platform that charged for CPU time, and given the overhead of XML transformations shown in device 1-5, it was expensive. The solution was to scamper the transformation layer out to DataPower appliances. The result was a huge cost savings and orders of magnitude faster processing.

    Integrating Platforms

    In the previous section, they discussed a scenario in which the appliance could be used to bridge differences in standards specifications (WS-Security v1.0 versus. v1.1) and identity credentials (SPNEGO versus LTPA) across systems. This is one amenable sample of easily integrating disparate platforms, particularly when the standards and specifications are in flux. It is difficult for software-based solutions running on touchstone servers and products to sustain up with this. On the appliance, you load a firmware update to accumulate the latest and greatest.

    However, there are other issues that arise when integrating different platforms. account a scenario in which a medium-sized industry XYZ Corp has its infrastructure running on legacy platforms and technologies, perhaps mainframe-based EDI. The industry partners that they depend on fill long since moved their platforms to Web services and are telling poverty-stricken XYZ Corp that they can no longer afford to back XYZ’s legacy interface to that system, and they must provide a modern SOA or Web services interface or lose the business. This puts XYZ in a imperfect position; what will it cost to retrain its programmers, rewrite its COBOL applications, and revamp the backends to its Java EE platforms? Likely, it would be a staggering amount! A common solution to this problem is to residence appliances at the front of the network as proxies, cook up a WSDL file to narrate some Web services, launch receiving the ASCII SOAP messages from the now-happy industry partners, and transmute them on-the-fly to EBCDIC EDI or COBOL Copybook messages and dispatch them over MQ or IMS Connect to the legacy backend. The backend does not fill to change, and no programs fill to be rewritten—a win-win!

    Due to the variety of protocols (HTTP(S), FTP, MQ, JMS/JFAP, IMS, NFS, TIBCO, MQ, ODBC, SNMP, and so on) supported by the DataPower appliances, there is a wealth of break for protocol bridging, content enrichment, and integration between platforms. Notice that the previous scenario involved message transformation. The XI50 DataPower appliance can maneuver either XML-to-XML or non-XML transformation scenarios, significance that messages can be transformed to the usurp format for any intended backend.

    Another common and age-old scenario related to integrating platforms is dynamic routing. Because it is often a requirement to execute dynamic routing decisions “on the edge of the network,” they fill DMZ Web servers, proxies, and load balancers maneuver this. The problem is that they can understand only the protocol and not the payload of the message. To accomplish the goal, applications residence some value in the protocol header to facilitate the content-based routing. As an example, if they want any purchase orders over one million dollars to be routed to high-priority servers, the sending application would residence a cookie or credit in an HTTP header or URL parameter. The Web server, proxy. or load balancer in the DMZ would be configured to check for this and then route the traffic accordingly. The problem with this scenario is that you fill to set aside this hack in the applications and the HTTP payload, potentially disclose message data to attackers, and involve the sender/client. This solution doesn’t scale because if you continually attain this, the HTTP header and application code bloat.

    Because SOA appliances are XML-savvy and can employ technologies such as XPath, they can check inside the message payload to gawk for the actual <po_value> factor rather than alter the application and HTTP header. If the message is encrypted, you don’t necessity to expose this by externalizing the data; you can just decrypt the message and check the value, and then route accordingly. The client in this case does not fill to be complicit—the routing is truly dynamic and transparent. The XML cognizant Network layer is shown in device 1-6.

    One last necessary feature in admiration to the integration narrative is the employ of appliances as ESBs. The appliances fulfill the model of an ESB by virtue of their strong routing, transformation, mediation, and protocol-switching capabilities. IBM has other ESB products capable of implementing the ESB pattern—WebSphere Message Broker (WMB) and WebSphere Enterprise Service Bus (WESB). Each of these fill unique capabilities that may suit them for particular usages. Although DataPower may be thought of as a highly secure and performant ESB, the others fill features that DataPower does not fill in the arenas of transactionality, persistent message handling, and the capability to travail in other programming languages. They contend ESBs in Chapter 5, “Common DataPower Deployment Patterns,” and Chapter 9, “Multi-Protocol Gateway.”



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