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C2010-023 IBM Tivoli back Provider Tools and Processes

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C2010-023 exam Dumps Source : IBM Tivoli back Provider Tools and Processes

Test Code : C2010-023
Test title : IBM Tivoli back Provider Tools and Processes
Vendor title : IBM
: 56 true Questions

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For IBM, Storage Is A Lighthouse For Its records-pushed, Multi-Cloud World | killexams.com true Questions and Pass4sure dumps

IBM Storage announcement held in Rome

IBM

This blog turned into written through Steve McDowell, storage and HCI follow lead for Moor Insights & approach.

The cloud computing world is a one stuffed with surprising pivots, swift turns, and sharp boomerangs. The early hopes that cloud computing, with its desirable charge/improvement equations and ease of management, would change the enterprise statistics heart were short-lived.

As firms migrated workloads to the quite a lot of cloud providers, classes hold been learned, and a brand new reality set in.  Workloads require records, and statistics has gravity. It’s now not an simple subsist counted to stream an application to the cloud and hope that your latest storage structure offers the remedy set of functions to assist it.  You requisite to deploy storage architectures designed to bridge on-premises infrastructure with the cloud.  Storage in a multi-cloud atmosphere is not a spot for the meek.

The complexity of mixing on-premise and cloud has further into sharp reduction over the past several months as every player within the enterprise IT value chain moves into new territory.  The subsist alert "cloud" itself has whirl into nebulous, as public cloud providers movement infrastructure and services on-premises, natural OEMs enter the means-on-demand enterprise, and software more and more turns into the defining glue tying utter of it collectively.

Google's Cloud subsequent developer conference was held this week in San Francisco, the set the enterprise announced a group of application capabilities its branded "Anthos" to manage functions and workloads across deepest facts centers and Google Cloud features.  Anthos even guarantees to aid workloads on its competitor's Amazon net services and Microsoft organisation's Azure clouds.  Anthos is, not surprisingly, according to containers and Kubernetes, with a storage Story that relies on vendors efficiently helping the Container Storage Interface (CSI).

Deploying solutions such as Google’s Anthos, and even Amazon’s Outpost on-web site cloud providing, requires tangled integration with a constant eye towards balancing compute and storage. These multi-cloud implementations aren't turn-key, as a substitute relying on taut coordination between partners to installation an commercial enterprise-ready solution.

whereas the cloud suppliers and server OEMs vacillate on what they each coincide with is the remedy balance of on-premises and cloud technologies, every maintaining excessive-margin turf in the manner, they should debate IBM, who has emerged as an not going lighthouse for the information-pushed multi-cloud world.

IBM, when you are now not mindful, is the quantity 4 public cloud company worldwide. The enterprise would not accumulate down within the dust and fight for each miniature bit of company in the identical means that Amazon and Google do. IBM instead focuses its cloud efforts the set it has always focused its company: servicing the needs of the enterprise.

by myself amongst cloud providers and storage expertise providers, IBM has in no passage vacillated on its imaginative and prescient. IBM has at utter times viewed multi-cloud as an ingenious mingle of infrastructure and cloud, managed by means of a finished blend of application and features. They’ve made it handy for their consumers to deploy multi-cloud options, even if those cloud workloads are containerized or leverage extra typical virtual desktop expertise.

ultimate week in Rome, IBM’s storage crew continued its enablement of commercial enterprise IT to additional its sustain into the multi-cloud world.

All about the software

The statistics-pushed multi-cloud world revolves across the software stack,  which makes the capabilities moral and manageable. For IBM, that software is its Spectrum Storage suite of products.

probably the most pleasing of IBM’s storage bulletins is its enhancements to IBM Spectrum Virtualize, now offering back for Amazon AWS public cloud.  IBM Spectrum Virtualize for Public Cloud allows for for hybrid multi-cloud mobility to and from AWS and IBM clouds, with non-disruptive migration to, from, and between clouds.

IBM Spectrum Virtualize for Public Cloud is hosted on a pair of AWS EC2 compute situations, where it may well virtualize and manage EBS hide storage, and picture to and from S3 storage.  The application provides statistics mobility from IBM’s Storwize family, FlashSystem 9100, SVC, and VersaStack.  It’s an throughout-the-board reply play for IBM.

during its Rome adventure, IBM furthermore up-to-date its Spectrum Scale facts-management tool.  Spectrum Scale has expanded efficiency for SMB and NFS, while additionally aiding new degrees of scalability and resiliency.

one of the crucial more spellbinding bulletins from IBM is new utility aid for blockchain technology within IBM storage solutions.  As blockchain evolves into a vital skill for managing chains of trust, i will subsist able to remark many purposes leveraging technology in a multi-cloud world. i am anxious to glance this evolve and hold note how enterprises leverage the ability.

one of the vital niceties of IBM's storage choices is the blueprints that IBM provides to aid enterprise IT and IBM's partners instantly set up options with self assurance. IBM Spectrum Virtualize for Public Cloud extends the library of blueprints, with new offerings defining workload mobility with VMware's NSX, company continuity, and cyber-resiliency with "air-gapped" snapshots.

NVMe everywhere

application is the significant fearful device of the multi-cloud infrastructure, but that utility can only ever subsist as in a position as the hardware resources its tasked to control.  efficiency in the storage world is defined by using the capabilities provided through the mingle of flash recollection and the NVMe interconnect. IBM changed into a really early adopter of NVMe-primarily based flash storage, deploying its custom FlashCore modules to convey very excessive-throughput, low-latency, options into its performance product.

The component about multi-cloud is that it doesn’t utter the time require the maximum-performing arrays. Deploying multi-cloud solutions requires the performance required by passage of a given workload, with satisfactory scalability to live on future evolutions of that workload. To that end, IBM introduced enhancements to its Storwize V5000 household, bringing enhanced capabilities to the lessen-conclusion of its storage offerings, and supplying conclusion-to-end NVMe to its V5100 series.

the new IBM Storwize V5100F and v5100 carry NVMe to a prior to now unimaginable cost-factor. The arrays convey well-nigh 2.5x greater efficiency than the previous V5030F, offerings 9x greater cache than used iterations, are has back for server-type memory. The densities are equally compelling, with the arrays in a position to deliver as much as 2PB of flash in only 2U.  That capability can scale-as much as 23PB, and scale-out to 32PB with 2-way clustering enabled.  The IBM Storwize V5100F redefines how you'll want to feel about cost-effective performance and density.

IBM has furthermore updated its Storwize 5100, bringing new levels of scalability and density to the lower-cost range of its choices.  The up-to-date IBM Storwize V5010E double the IOPS of its predecessor while scaling to 12PB.  The up to date IBM Storwize V5030E additionally offers a nice bump, offering 20% greater max IOPs, with scalability of up to 32PB.

IBM additionally offered updates to its FlashSystem A9000/A9000R to supply more suitable assist for multi-tenant environments.  The updated FlashSystem now allows sharing of physical storage supplies among numerous digital networks, while furthermore helping VLAN tagging on its iSCSI ports. These facets should quiet lead to more advantageous protection and an overall reduction of fees in multi-tenant environments. These are critical enhancements for MSPs and others who participate resources between disparate person groups.

Tying collectively utter of IBM’s storage portfolio is its wealthy suite of Spectrum Storage utility, designed to combine IBM storage infrastructure with the multi-cloud world.  The combination of IBM Spectrum Storage utility and the updated arrays offers you an end-to-conclusion solution able for containerized, AI-driven, workloads.  at the identical time, this set of updates supply IBM some of the broadest ranges of NVMe-enabled flash storage in the trade.

Concluding options

as the middling server OEMs and the general public cloud suppliers hone in on a group of architectures for the information-driven multi-cloud world, it has develop into obvious that the solution was preempt in front of us the entire time.

IBM has blended cloud and infrastructure from the very early days of its cloud offerings. The company provides essentially the most cohesive set of services and options that scale on-premise and cloud hosted workloads.

IBM's storage crew, in selected, has been aggressive in driving this imaginative and prescient.  Its line of storage arrays are one of the crucial most aggressive in the trade, but in case you couple these arrays with the vigour of the IBM Spectrum Storage utility suite, it becomes unbeatable.  IBM stands basically by myself in offering a comprehensive latitude of storage options that span records middle hardware, deepest cloud, and public cloud.  it's recent embracing of Amazon AWS, and different public cloud opponents is a powerful circulation that merits IBM's enterprise client base.  option is always decent.


IBM facets toward managing multicloud universe | killexams.com true Questions and Pass4sure dumps

How collaboration apps foster digital transformation

PhoneFactor Launches phone-based Authentication for IBM Tivoli entry supervisor | killexams.com true Questions and Pass4sure dumps

PhoneFactor Launches cellphone-based Authentication for IBM Tivoli entry manager

source: PhoneFactor

PhoneFactor

July 07, 2010 09:00 ET

IBM Certifies PhoneFactor solution as "competent for IBM Tivoli"

OVERLAND PARK, KS--(Marketwire - July 7, 2010) -  PhoneFactor, Inc., a number one provider of multi-factor authentication capabilities, today announced that it has introduced back for IBM Tivoli access manager to its suite of authentication options and might now seamlessly enable mobile-primarily based two-aspect authentication to secure Tivoli person sign-ons. The PhoneFactor reply has been certified as "able for IBM Tivoli" and is immediately accessible.

IBM Tivoli access manager gives a web sole signal-on (SSO) reply for executing safety policies for net and software components. PhoneFactor provides an additional layer of security by using confirming Tivoli signal-ons with an automatic cellphone title or textual content message. The consumer conveniently solutions the title or replies to the text message to authenticate. Tivoli entry supervisor with PhoneFactor integration provides both step-up authentication and multi-aspect authentication capabilities for controlling access to supplies. 

"Tivoli entry supervisor is an impressive platform for managing consumer entry across distinct net portals and functions," said Steve Dispensa, Chief expertise Officer of PhoneFactor. "Securing this entry with two-ingredient authentication is vital, especially in industries that require a regulatory-compliant environment, and PhoneFactor makes that less complicated than ever for IT departments and halt clients."

by leveraging a device every person already has -- a phone -- PhoneFactor allows for quick deployment of cost-efficient two-aspect authentication for Tivoli access supervisor. There aren't any security tokens or other gadgets to provision and no application or certificates for conclusion users to install. businesses without problems download and installation PhoneFactor and configure it for Tivoli access supervisor. PhoneFactor integrates with Tivoli's directory gear in addition to ad and LDAP servers to streamline person management. effortless, automated self-provider alternate options are available throughout the mobilephone and net.

About PhoneFactor

PhoneFactor (www.phonefactor.com) is a leading provider of multi-ingredient authentication services. The company's award-successful platform makes expend of any cellphone as a 2d variety of authentication. PhoneFactor's out-of-band structure and real-time fraud alerts supply robust safety for commerce and consumer purposes. it's handy and most economical to installation and set up. PhoneFactor changed into recently named to the pecuniary institution expertise information FutureNow record of the remedy 10 know-how innovators securing the banking industry these days and a finalist in 2010 SC journal Reader believe Awards.

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IBM Tivoli back Provider Tools and Processes

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For IBM, Storage Is A Lighthouse For Its Data-Driven, Multi-Cloud World | killexams.com true questions and Pass4sure dumps

IBM Storage announcement held in Rome

IBM

This blog was written by Steve McDowell, storage and HCI drill lead for Moor Insights & Strategy.

The cloud computing world is a one filled with sudden pivots, swift turns, and sharp boomerangs. The early hopes that cloud computing, with its attractive cost/benefit equations and ease of management, would supersede the enterprise data heart were short-lived.

As enterprises migrated workloads to the various cloud providers, lessons were learned, and a new reality set in.  Workloads require data, and data has gravity. It’s not a simple matter to stagger an application to the cloud and hope that your existing storage architecture provides the right set of services to back it.  You hold to deploy storage architectures designed to bridge on-premises infrastructure with the cloud.  Storage in a multi-cloud environment is not a set for the meek.

The complexity of blending on-premise and cloud has further into sharp relief over the past several months as every player in the enterprise IT value chain moves into new territory.  The word "cloud" itself has become nebulous, as public cloud providers stagger infrastructure and services on-premises, traditional OEMs enter the capacity-on-demand business, and software increasingly becomes the defining glue tying it utter together.

Google's Cloud Next developer conference was held this week in San Francisco, where the company announced a set of software capabilities its branded "Anthos" to manage applications and workloads across private data centers and Google Cloud services.  Anthos even promises to back workloads on its competitor's Amazon Web Services and Microsoft Corporation's Azure clouds.  Anthos is, not surprisingly, based on containers and Kubernetes, with a storage Story that relies on vendors efficiently supporting the Container Storage Interface (CSI).

Deploying solutions such as Google’s Anthos, or even Amazon’s Outpost on-site cloud offering, requires tangled integration with a constant eye towards balancing compute and storage. These multi-cloud implementations are not turn-key, instead relying on taut coordination between partners to deploy an enterprise-ready solution.

While the cloud providers and server OEMs vacillate on what they each believe is the right balance of on-premises and cloud technologies, each protecting high-margin turf in the process, they should talk about IBM, who has emerged as an unlikely lighthouse for the data-driven multi-cloud world.

IBM, if you're not aware, is the number four public cloud provider worldwide. The company doesn't accumulate down in the dirt and fight for every bit of commerce in the identical passage that Amazon and Google do. IBM instead focuses its cloud efforts where it has always focused its business: servicing the needs of the enterprise.

Alone among cloud providers and storage technology vendors, IBM has never vacillated on its vision. IBM has always viewed multi-cloud as an brilliant blend of infrastructure and cloud, managed by a comprehensive blend of software and services. They’ve made it simple for their customers to deploy multi-cloud solutions, whether those cloud workloads are containerized or leverage more traditional virtual machine technology.

Last week in Rome, IBM’s storage team continued its enablement of enterprise IT to further its journey into the multi-cloud world.

All about the software

The data-driven multi-cloud world revolves around the software stack,  which makes the capabilities true and manageable. For IBM, that software is its Spectrum Storage suite of products.

The most eye-catching of IBM’s storage announcements is its enhancements to IBM Spectrum Virtualize, now offering back for Amazon AWS public cloud.  IBM Spectrum Virtualize for Public Cloud allows for hybrid multi-cloud mobility to and from AWS and IBM clouds, with non-disruptive migration to, from, and between clouds.

IBM Spectrum Virtualize for Public Cloud is hosted on a pair of AWS EC2 compute instances, where it can virtualize and manage EBS hide storage, and snapshot to and from S3 storage.  The software provides data mobility from IBM’s Storwize family, FlashSystem 9100, SVC, and VersaStack.  It’s an across-the-board solution play for IBM.

During its Rome event, IBM furthermore updated its Spectrum Scale data-management tool.  Spectrum Scale has increased performance for SMB and NFS, while furthermore supporting new levels of scalability and resiliency.

One of the more intriguing announcements from IBM is new software back for blockchain technology within IBM storage solutions.  As blockchain evolves into a critical capability for managing chains of trust, I can remark many applications leveraging technology in a multi-cloud world. I'm anxious to remark this evolve and understand how enterprises leverage the capability.

One of the niceties of IBM's storage offerings is the blueprints that IBM provides to back enterprise IT and IBM's partners quickly deploy solutions with confidence. IBM Spectrum Virtualize for Public Cloud extends the library of blueprints, with new offerings defining workload mobility with VMware's NSX, commerce continuity, and cyber-resiliency with "air-gapped" snapshots.

NVMe Everywhere

Software is the central nervous system of the multi-cloud infrastructure, but that software can only ever subsist as capable as the hardware resources its tasked to manage.  Performance in the storage world is defined by the capabilities offered by the blend of flash recollection and the NVMe interconnect. IBM was a very early adopter of NVMe-based flash storage, deploying its custom FlashCore modules to deliver very high-throughput, low-latency, solutions into its performance product.

The thing about multi-cloud is that it doesn’t always require the highest-performing arrays. Deploying multi-cloud solutions requires the performance required by a given workload, with enough scalability to survive future evolutions of that workload. To that end, IBM announced upgrades to its Storwize V5000 family, bringing enhanced capabilities to the lower-end of its storage offerings, and delivering end-to-end NVMe to its V5100 series.

The new IBM Storwize V5100F and v5100 bring NVMe to a previously unattainable price-point. The arrays deliver nearly 2.5x more performance than the previous V5030F, offerings 9x more cache than previous iterations, are has back for server-class memory. The densities are equally compelling, with the arrays able to deliver up to 2PB of flash in only 2U.  That capacity can scale-up to 23PB, and scale-out to 32PB with 2-way clustering enabled.  The IBM Storwize V5100F redefines how you should contemplate about affordable performance and density.

IBM has furthermore updated its Storwize 5100, bringing new levels of scalability and density to the lower-cost range of its offerings.  The updated IBM Storwize V5010E double the IOPS of its predecessor while scaling to 12PB.  The updated IBM Storwize V5030E furthermore offers a nice bump, delivering 20% better max IOPs, with scalability of up to 32PB.

IBM furthermore provided updates to its FlashSystem A9000/A9000R to provide better back for multi-tenant environments.  The updated FlashSystem now allows sharing of physical storage resources among multiple virtual networks, while furthermore supporting VLAN tagging on its iSCSI ports. These features should lead to better security and an overall reduction of costs in multi-tenant environments. These are critical enhancements for MSPs and others who participate resources between disparate user groups.

Tying together utter of IBM’s storage portfolio is its flush suite of Spectrum Storage software, designed to integrate IBM storage infrastructure with the multi-cloud world.  The combination of IBM Spectrum Storage software and the updated arrays gives you an end-to-end solution ready for containerized, AI-driven, workloads.  At the identical time, this set of updates give IBM one of the broadest ranges of NVMe-enabled flash storage in the industry.

Concluding thoughts

As the traditional server OEMs and the public cloud providers hone in on a set of architectures for the data-driven multi-cloud world, it has become evident that the solution was right in front of us the entire time.

IBM has blended cloud and infrastructure from the very early days of its cloud offerings. The company delivers the most cohesive set of services and solutions that scale on-premise and cloud hosted workloads.

IBM's storage team, in particular, has been aggressive in driving this vision.  Its line of storage arrays are some of the most competitive in the industry, but when you couple those arrays with the power of the IBM Spectrum Storage software suite, it becomes unbeatable.  IBM stands nearly lonesome in offering a comprehensive range of storage solutions that span data heart hardware, private cloud, and public cloud.  It's recent embracing of Amazon AWS, and other public cloud competitors is a tenacious stagger that benefits IBM's enterprise customer base.  selection is always good.


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Is there a single-source provider for data management? Not yet | killexams.com true questions and Pass4sure dumps

Architects can, and do, choose a primary cloud service provider and/or Hadoop system to house their data. Moving, transforming, cataloging, and governing data is a different story, so architects further to me after throwing up their arms searching for solutions to tame the information fabric, thinking they must subsist missing something: "Isn't there a sole platform?" they ask.

Sadly, no. There are only best-of-breed tools or data management platforms in transition.

There's history behind this. Data management middleware companies attend to subsist relatively small. Information management vendors such as IBM, Oracle, and SAP pick off smaller data management vendors and add their offerings as solutions to their overall platform portfolio to sell as enablers of their substantial data and cloud systems. minute vendors don't hold the funds to preemptively build capabilities as markets shift toward new architectures like substantial data and cloud. substantial vendors unravel the 80% rule of firms running their businesses on traditional dependable technology. Thus, data management and governance hold lagged behind the substantial data and cloud trends. Ultimately, both vendors hold had a wait-and-see strategy, building capabilities and rearchitecting solutions only when customers began to point to higher levels of interest (it's in the RFI/RFP).

Our Forrester Wave evaluations document this story. As Forrester saw that 50% of companies were building Hadoop data lakes in 2011 and analytics/BI was poignant to the cloud shortly after, data management vendors in their Waves were only just starting to device out how to work in these environments and elope natively in 2015. Even today, many of these vendors quiet present one on-premises utensil and another cloud tool. Newer ones may only elope in the cloud.

Venture capitalists and private equity firms jumped in to fund substantial data startups early. But few startups emerged when there was already a gross marketplace of open source tools for ingestion, pipelines, security, and metadata. Where was the money in that? Thus, the market shifted to the sexier value proposition of machine learning, and investor money followed. Why supervision about data when you can hold insights?

Well, enterprises supervision about the data. They always did and always do. It is the biggest belt of technical and talent debt in an organization. The failure of substantial data lakes and stalls in scaled-out system areas such as IoT and AI utter derive from lagging data foundations. It's a cart-before-the-horse scenario.

"Great!" you say. "Nice history lesson. So what accomplish we do?"

Recognize new tools for what they are. Ignore the platform and solution labels applied to product names and offers. What is available is loosely consolidated functionality for specific data expend cases. Potential for complete solutions is there in commercial products. User interfaces and experiences are better than open source. More communication and collaboration functionality exists. Vendors know that regulatory compliance and security back are table stakes for any enterprise. And if there aren't connectors for the leading cloud and Hadoop platforms, or leading BI and commerce applications, that's a deal breaker. The baseline strategy for acquiring these tools comes down to knowing your user and their processes, the openness of the metadata repositories, and subscription models. Ultimately, you requisite to unravel for today and give yourself elbowroom for growth (check out what my colleague Noel Yuhanna just published on future-proofing). You'll refactor your platform sooner rather than later.

Now, here's what you requisite to know for the primary data management tools:

  • Metadata management. You will requisite two or three data catalogs: one for physical and analytic metadata management that data engineers requisite to build and manage systems; one for data stewards to manage analytic metadata, semantics, and data policies; and possibly a third data catalog that supports search and consumption capabilities for BI analysts and data scientists to expend data if the data governance catalog for data stewards doesn't accomplish the job. Yes, Collibra, EDQ, and Informatica are common bedfellows. Alation with Navigator or Atlas in the Hadoop ecosystem are not unusual for data lakes, either.
  • Master data management. There's usually the traditional relational-based MDM utensil running to back tangled mappings of data between systems. It lives at the core of the databases and integration. Then you find graph-based MDM to wield tangled views for customers and products sitting closer to the BI and commerce application systems when analytic models requisite more preparation and conversion to semantic or commerce models. Then there's the DIY MDM vital inside data virtualization and Kafka that informs the data model and mapping for BI views, microservices, and ESBs.
  • Data integration. This is where the fun begins as ETL, data virtualization, a data bus, streaming, replication, ingestion tools, and data preparation utter live independently or in an integrated pipeline. Workload patterns define which data integration tools are used and where in the data rush or the ecosystem (cloud/on-premises) they are needed. Your data architecture takes on reference patterns aligned to transactions, commerce processes, automation, analytics, and analytics (OLAP) and operational (OLTP) workloads. Your reference architecture is designed first for data flows, not data sources as traditionally done.
  • Data profiling and lineage. Standalone or embedded — hold your pick. But the key is that if the profiling and lineage analysis is embedded, chances are it's oriented toward the foundational solution. Repositories profile for metadata and data source capture. Data governance tools profile for analytic and commerce metadata and source lineage. Data catalogs profile for physical and analytic metadata, data relationships, and source lineage. Some might profile data rush metadata. Standalone tools attend to focus on metadata, model, lineage, and data rush analysis for root-cause analysis. subsist mindful of who will expend the tool, what they requisite to know, and that profiling and lineage analysis is mandatory for utter data responsibilities to understand the data.
  • For more from Forrester on emerging technologies, click here.    

    By Michele Goetz, Principal Analyst

    This post originally appeared here.



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