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C2020-605 exam Dumps Source : IBM Cognos 10 Controller Developer
Test Code : C2020-605
Test Name : IBM Cognos 10 Controller Developer
Vendor Name : IBM
Q&A : 94 Real Questions
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IBM IBM Cognos 10 Controller
IBM has introduced the launch of the newest edition of its business intelligence application, IBM Cognos 10.
The newest update, which IBM says is essentially the most large considering that it obtained Cognos, aims to take analytics to cell instruments and to introduce a social networking method to analytics, so that you can inspire greater collaboration.
Cognos 10 has a new seem and feel, which IBM says mirrors people's day by day use of technology, and also include true time analytics, and the means to convey analytics to mobile devices reminiscent of iPhone and BlackBerry handsets.
The utility additionally extends the reporting of facts, to current analytics in a less complicated to understand layout, and to make analytics accessible to the wider enterprise, increasing the number of stakeholders that may use enterprise intelligence in the determination making procedure.
"The Cognos 10 software offers a very new person journey, which allows users to achieve collective intelligence with the aid of connecting with others, sharing insights and establishing determination networks, hence redefining the average methods of interplay businesses use with guidance and the way clients collaborate with their peers," said Bashar Kilani, Bashar Kilani, company Unit government, IBM utility community, IBM center East.
IBM’s cloud computing strategy is apparent to a degree with Cognos 10, the newest release of the business intelligence platform.
As a part of Cognos 10, IBM is delivering a cloud-based carrier they call Cognos 10 in the Cloud.
It’s a hosted carrier for groups that wish to switch its license to the cloud or totally host on-line.
The approach gives some insight into the IBM utility neighborhood’s approach to cloud computing.
We see three distinctions to the Cognos strategy and the way it displays on IBM’s approach.
Hosted, not SaaS
The carrier has the same aspects that comes with Cognos 10, arguably the spotlight of IBM’s counsel on Demand convention. It points predictive analytics and social collaboration capabilities via its integration with Lotus Connections.
Cognos 10 within the Cloud isn't in the vein of a traditonal SaaS carrier. You pay a license price for internet hosting your license. valued clientele might also change the license from on-premise to the IBM Cloud. consumers may additionally also decide to purchase a hosted license without investing in the on-premise provider.
Streaming facts from the Cloud
Cognos 10 is a heavy responsibility analytics engine. SPSS is baked in. It pulls in information from the cloud, together with unstructured information. clients can use third-birthday celebration records to get a historic evaluation, see a real-time circulate or do “what if,” evaluation.
less About Cloud, greater About birth
It’s questionable if there's demand for a pure cloud computing service. agencies have deep investments in records centers but they are searching for tips on how to extend to a cloud ambiance. That’s a fashion we see lots from SAP, VMware, Microsoft and a bunch of others.
IBM says it’s strategy with Cognos 10 is much less about the cloud than delivery. shoppers desire a place to place their utility license. That’s the delivery IBM is making with Cognos 10 in the Cloud.
we now have questions in regards to the IBM strategy. it’s only a small a part of IBM’s cloud providing nonetheless it’s illustrative of a larger approach to use the cloud as an option delivery model for traditional utility choices.
Introduction
IBM has dissimilar application business intelligence items together with Cognos Analytics (previously Cognos company Intelligence), Cognos TM1, Cognos categorical, and Cognos Disclosure administration. IBM Cognos business Intelligence entrance-conclusion can connect to SAP for HANA integration from IBM Cognos 10.2.1.9 onwards via JDBC facts supply connectivity (IBM, n.d.). centered in 1966, Jabil Circuit, Inc is without doubt one of the greatest electronic components manufacturing features establishments overlaying a wide-range of business areas reminiscent of supply chain administration, electronic circuits, design engineering, logistics, telecommunications, and semiconductor add-ons for computing. GE is without doubt one of the greatest valued clientele for Jabil Circuit (Universe, n.d.).
background of the difficulty
companies want remaining mile records analytics on their fiscal operations. After performing procurement of materials, production of entire goods, stock management, provide chain administration, growing earnings orders, deliveries, transportation administration, superior delivery notifications, transport, dealing with devices administration, bill advent, ultimately the enterprise has to operate the economic shut taking the refined data from the disparate statistics sources of the aforementioned enterprise techniques. In an enterprise resource Planning device, all of the above business methods are unified in a single database with a structured format. youngsters, organizations conducting the business transactions in varied database methods and spreadsheets will have to spend a number of hours to assemble the information to consolidate the generic ledger postings, cash circulation, and cash circulate (Srilu, 2013).
The statistics that comes into Excel spreadsheets may also no longer have validation device to check the input of the values apart from checking numeric, alphanumeric mixtures. There isn't any standard pre-defined configuration set up in Excel Spreadsheet migrated from one more equipment. this can create problems for a company to consolidate and migrate the records from Excel spreadsheets into fiscal statements for each and every month end. Excel spreadsheets can significantly slow down the business boom and the revenues of the commercial enterprise. If the company can't visualize the revenue and regional breakdown of the important thing efficiency indicators, they usually are not able to predict the increase plan for the next quarter or subsequent month. this can impact supply chain operations, advanced planning optimization, and enterprise community collaboration, service provider community planning. within the conclusion, the company will suffer losses. Jabil was affected by these primary problems to shut the finance of the organisations on time (Thomson, 2012).
Key options
Jabil carried out IBM company Analytics, IBM Cognos business Intelligence, IBM Cognos company standpoint, IBM Cognos Controller, and IBM Cognos TM1 to beat the financial close conundrums. IBM enterprise Analytics incorporates a bevy of analytics solutions for companies.
clever and Intuitive Analytics
Jabil carried out IBM Cognos Analytics, the correct arm of IBM company Analytics company Intelligence Analytics. The answer from Cognos Analytics presents the economic company groups to create the analytics experiences on their own. they can entry the facts facets from BI Analytics through multiple sources, and with primary drag and drop strategies they can construct the self-serviceable experiences. company teams can entry IBM Cognos even when they are cell or working browser-based equipment on the web. Streamlined workflow provides a number of notifications for the organisation groups to motion their certain initiatives (IBM, n.d.).
commercial enterprise Key performance indications
IBM enterprise performance administration provides the insights to measure the performance of the enterprise in entirety via bridging the gaps discovered between the give chain management operations and the economic closing of the corporate books. It provides alternatives to construct superior planning for the corporation to contain thoughts to venture the tendencies of the statistics into the future by using observing the historical patterns of the records in each business group. This gives forecasting for give chain operations to manufacture the items into the marketplace for numerous segments and valued clientele. groups that may observe the premonitory watch alerts notifications and developments can set the pace for enterprise growth for every quarter to turn the records insights into revenues. EPM can also monitor the venture plans built with specific economic budgets for a bevy of a portfolio of project solutions spanning a number of items to establish a data-pushed firm. The scorecards of EPM additionally indicates the areas where the prison and regulatory requirements for the organizations in getting ready the financial statements (IBM, n.d.).
Definitive Analytics
IBM Prescriptive Analytics performs prognosis on the corporation average efficiency with strategic management options. The analysis results in featuring recommended options to describe, study, document, and act. business workflow optimization drives automation of some selections. C-level executives can manage the enterprise-oriented choices. These choices can potentially arise on reviewing the company loyalty of the shoppers related to certain items for either launching a new product or enhance an existing product within the corporation. The prescriptive evaluation can also faucet into the localization of the pursuits organized via the business catering a bevy of native markets (IBM, n.d.).
Presaging Analytics
IBM company Intelligence provides predictive analytics for performing final mile data mining analytics with the aid of wrangling the information with exploratory thoughts to understand the business views from quite a lot of key performance warning signs of enterprise procedures spawning from paying for the raw materials through economic shut. corporations want insights to devise at least 18 months ahead of their superior planning optimization for supply chain management processes. This may also be executed via several forecasting models and applied statistical methods on the statistics and glean the information through textual content-primarily based analytics to create fashion-primarily based models for the long run. This helps to foretell and forecast the number of items to launch on the industrial shelves for each and every retailer in the market with who Jabil is conducting the business transactions. essentially, Jabil manufactures electronic accessories to bring together a lot of electronic contraptions, telecommunication, and community device. This requires granularity of the market traits and the predictive analytics can also hook as much as connect to R language for leveraging any extra statistical packages. IBM’s Apache Spark can operate the analytics in-memory in distinction to Apache Hadoop that puts IBM ahead of the pack on file-based mostly systems. Integration of Apache Spark with IBM predictive analytics and R can raise the system extra (IBM, n.d.).
Governance, Compliance, and risk administration
organizations performing organizations throughout the globe should meet regulatory compliance necessities when buying and selling with other international locations. The hazards can come up from the tax laws or customs duties levied by using other international locations throughout the globe. To balance the exchange risks, the company transactions carried out within the commercial enterprise aid planning system or through dissimilar database systems deserve to be audited. IBM has the analytics options for managing the chance. The chance management analytics will scan during the database of the corporation and find out the hazards worried through actual-time analytics for realizing the ever-expanding hazards within the transactions (IBM, n.d.).
though, Jabil carried out no longer the entire above solutions. although, a majority of the IBM Analytics solutions had been carried out. The merits derived by using Jabil through IBM Analytics options supplied incredible insights to obtain the operational excellence for monetary close and manufacturing vegetation to run their business correctly. The solution can also be utilized to a few different industries which are in the manufacturing of semiconductor, excessive-tech, telecommunications, storage contraptions, and community gadget. The manufacturing process involves a particular procedure mannequin to put together the built-in design of the circuits and chips. The master information administration developed with the aid of Jabil through their analytics, and business efficiency administration to display screen the important thing performance indicators can be applied to quite a lot of other industries that are under an identical category. The success of Jabil will also be a potential chance for leisure of the industries in that phase to comply with in accordance with the necessities evaluation and implementation of Jabil.
References
IBM (n.d.). Cognos Analytics. Retrieved November 9, 2015, from http://www.ibm.com/analytics/us/en/expertise/items/cognos-analytics/
IBM (n.d.). Cognos company Intelligence 10.2.1. Retrieved December 28, 2015, from http://www-969.ibm.com/utility/stories/compatibility/clarity-studies/record/html/prereqsForProduct?deliverableId=1330380859450#!
IBM (n.d.). business performance management. Retrieved November 9, 2015, from http://www-03.ibm.com/software/items/en/category/performance-administration
IBM (n.d.). Predictive Analytics. Retrieved November 10, 2015, from http://www.ibm.com/analytics/us/en/technology/predictive-analytics/
IBM (n.d.). Prescriptive analytics. Retrieved November 9, 2015, from http://www-03.ibm.com/application/items/en/category/prescriptive-analytics
IBM (n.d.). risk management. Retrieved November 10, 2015, from http://www.ibm.com/analytics/us/en/enterprise/possibility-management.html
Srilu (2013). SAP modules overview and business procedures. Retrieved November 9, 2015, from http://www.slideshare.internet/srilu999/sap-modules-overview-and-business-procedures
Thomson, S. (2012). IBM Analytics offers Jabil superior insight Into monetary performance. Retrieved November 9, 2015, from http://www-03.ibm.com/software/businesscasestudies/us/en/corp?synkey=M525334P42483U27
Universe, F. (n.d.). Jabil Circuit, Inc. background. Retrieved November 9, 2015, from http://www.fundinguniverse.com/company-histories/jabil-circuit-inc-historical past/
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IBM Cognos 10 Controller Developer
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Instead of just focusing on the major features of IBM Cognos 10 Report Studio, Roger Johnson, coauthor of IBM Cognos 10 Report Studio: Practical Examples, looks at some lesser-known tools and object properties to further enhance your Report Studio projects.
From the author of
The biggest additions to IBM Cognos Report Studio in version 10 have been Active Reports and Statistics objects. These two new ways of presenting data provide many new options for report authors to create reports that match the analytical needs of the user community. Entire classes have been created to focus on the creation of reports using these formats.
Other capabilities in IBM Cognos 10 Report Studio include the integration of external data sources and the ability to save Report Studio reports to be used directly by Business Insight Advanced authors. Using external data sources in Report Studio has been a customer request since IBM Cognos tools moved to a web-based architecture. This enhancement gives the report consumer new opportunities to process just the information needed for a specific situation. By using a common report definition between applications, users who aren't accustomed to complex reports can receive assistance to build reports that have features beyond those normally available to Business Insight Advanced users.
While the features I've discussed to this point are promoted as key features, other useful options in version 10 will increase the effectiveness of reports to your users. Some of these features were previously available through complex programming by the report developer, but IBM Cognos Business Intelligence now makes this job much easier. As a report writer and instructor who can appreciate the ability to create report designs designed to tell a story, I want to highlight 10 of these new features.
Alternative Text
The Alternative Text property has been added to graphical objects, such as images and charts, to allow screen readers to translate the text (see Figure 1). Another aspect of this feature that's applied in various properties is to provide localized text without using conditional formatting.
Colored Regions, Plot Area Fill, Material Effects
The Colored Regions, Plot Area Fill, and Material Effects properties allow charts to have more creative designs in order to enhance the overall presentation of the charts. Mixed with other chart presentation options, these features help report developers to give new polish to the presentation of content. Figure 2 shows the additional gradient options that are now available, along with the new properties for the charts.
New Gradient Fill Types
Moving beyond simple linear gradients, some new fill types provide more choices for enhanced presentations. Backgrounds behind pages, objects, and selected areas can now display a number of gradient designs. The fill types include rectangular frames and embedded circular gradients, with many parameters to customize the blending of colors (see Figure 3).
Chart Combinations (Primary Axis, Secondary Axis, Primary Bottom, Secondary Bottom)
IBM Cognos 8 Business Insight had the ability to set Y1 and Y2 axes. Now combination charts can be stacked with two more axes for better analysis of related numbers. These options can be integrated into dashboard design to enhance the presentation of related measures. Figure 4 shows a chart with the additional axes selected.
Query Calculations in Query Explorer Replace Calculated Member, Calculated Measure, Set Expression, and Intersection (tuple)
In IBM Cognos 8 Report Studio, different objects were created for each of the dimensional functions. Now they're all bundled into the Query Calculations (see Figure 5). This option simplifies the toolbox for report authors, while emphasizing that dimensional queries can have enhanced calculations.
Summarize Small Slices and Exploded Slices
With pie charts, two improvements include summarizing small slices and exploding slices. These two options greatly improve the presentation of pie charts to emphasize the most important information (see Figure 6). In my classes, these options have been requested for years, and now they're delivered in this release.
Trendlines, Category Baselines, and Numeric Baselines
Report Studio functions have now improved on the predictive ability behind charts, without having to use external functions to calculate the numbers (see Figure 7).
Series Color Synchronization
With the changes made to enhance series, this feature allows report writers to simplify the legends when the series information is repeated across the combinations. By changing the Series Color property to Match (see the short arrow in Figure 8), the legend shows the different product lines and the nested measures differently (indicated by the longer arrow), increasing the effectiveness of the presentation.
Custom Properties for Prompts
Several new properties have been added to enhance the prompt options. These changes allow report developers to create customized prompt options without the additional JavaScript programming required in earlier versions. Most of the prebuilt text labels with these prompts can be customized to meet the needs of individual reports (see Figure 9).
Dimensional Set Definitions
As a welcome addition to dimensional functions, the Set Definition option (see Figure 10) allows report authors to create complex subsets that are presented graphically. This feature can make troubleshooting complex sets much easier by providing a more modular approach to set development. This was the best new property for me, since it simplifies the development of sets that had to be full of nested functions.
It has been our position from the beginning, when Google first open sourced the Kubernetes container controller, that it wanted for this to be the controller that ruled the datacenter. Having created its own Borg and Omega controllers, which do all kinds of provisioning and orchestration of containerized applications that sit behind its search engine, advertising, and other businesses, Google started from scratch and created Kubernetes to not only get a fresh start, but to let others contribute to the effort and build a software stack quicker than it could do all by itself.
The effort has been wildly successful on many measures, and there are many system software stacks that have Kubernetes at their heart now – and some of them are unexpected, and that is just a measure of how pervasive Kubernetes and the Docker container format has become. But Google has a longer game than just getting Kubernetes out there and enthusiastically co-developed with the community and adopted by enterprises. Google wants to create and support, for a subscription fee that makes money, a full Kubernetes stack. This stack is called Cloud Services Platform, or CSP for short, and it went into alpha testing with a select number of early adopters last summer. That alpha has now been completed, and Google is moving this Kubernetes stack into a more open beta period, working towards a day when it will be generally available and a formidable alternative to other on-premises Kubernetes stacks and absolutely compatible with the Kubernetes services that run on the Google Cloud Platform public cloud.
We had a chat with Urs Hölzle, a Google Fellow and senior vice president of technical infrastructure at the search engine, advertising, and video streaming giant that is also one of the big three public cloud providers, second only to Amazon Web Services and Microsoft Azure. Cloud Services Platform could be one of the most significant software products that Google has ever put together and it will be giving Red Hat, Microsoft, and VMware a run for the budget dollars as enterprises consider their hybrid cloud strategies.
Timothy Prickett Morgan: These transitions in the datacenter take time, which is a blessing as much as a curse because enterprises cannot absorb change and take risks like hyperscalers and cloud builders pretty much have to in order to stay in business. It has been the role of software vendors like Red Hat to take the risk out of using open source systems software. And it looks like this time around, with the container revolution, Google wants to be a stack player in its own right.
Urs Hölzle: As you know, Cloud Services Platform is our hybrid stack. We have been working on it for quite a while, starting with Kubernetes, and then a bunch of other hybrid things that we’ve done such as Stackdriver, Apigee, Orbitera, now Istio as an open source tool. The premise is that CSP makes hybrid normal, natural, not a weird state. It’s a normal state and it lets you go “cloud native” on premise. So you can use many of the same benefits of cloud in terms of better securing your services, monitoring applications, and doing continuous integration and continuous deployment, all in containers obviously, both on premise and on Google Cloud Platform.
Now, we are announcing the beta of CSP. You know we went to alpha release in August, and the alpha has had enormous interest. We’ve had literally thousands of customers, many of them very large companies, interested and kicking the tires. We have had one of the most successful alphas in the history of GCP with CSP, and we have gotten very, very strong feedback from customers and have made very good progress in the maturity of the system, which we are now ready to put it into beta.
TPM: So did you have a bunch of Google Cloud Platform customers who then started kicking the tires on Cloud Services Platform, or did this bring in a wide net of people who weren’t already on Google Cloud Platform and they decided to start on premises?
Urs Hölzle: Our Early Access Program started with GCP customers in the early parts of the alpha test just because we know them and we give them preference. But we have seen a lot of interest from large customers who are not currently GCP customers or at least aren’t large GCP customers. They are kicking the tires a little bit on GCP but not much. And the interest really comes all of the large companies, which still have 90 percent of their workloads running on premises.
They realize that they need to modernize, they realize that they will eventually move to the cloud but they don’t want to have all of these things tied together into one step. And also they don’t want to make a single vendor bet. And so our pitch has been from the beginning that CSP, because it is based on Kubernetes and Istio, is as safe a bet as Linux is.
If you choose Linux, you can pick what runs underneath it – Dell, Hewlett Packard, or GCP – and you can pick what is running on top, such as MySQL or Oracle. They all work. Because CSP is based on Kubernetes, Istio, Knative, and so forth, it gives you all that functionality in a managed form but of the core of the stack, all of the bits that are running, are actually open source so you could take it out and run it yourself. So you have an exit path and also you have this very open source set of APIs that is very broadly adopted by many players – you know IBM, Red Hat, et cetera – in the industry and therefore is a safe bet for the next two decades. In the previous two decades, Linux and Windows Server were your two choices that you had pretty much.
What those large companies are really looking is a new stack to standardize on. Even when they don’t have any intention to move to the cloud right now or if they do not want move everything to the cloud, they really want something that’s open and that’s consistent so they can train their teams once and then apply those teams on premise or in the cloud and know it’s the same experience. So you don’t have to have two sets of teams and two ways of doing everything.
TPM: Will we end up with two stacks when it’s all done? Something based on the Kubernetes stack on Linux on public and private clouds on one side and then Microsoft with Windows Server and Azure Stack and the Azure cloud on the other? It is hard for me for me to imagine that the Windows Server base just goes away, even if it is shrinking slowly.
Urs Hölzle: Yes, I think that’s quite likely. People sometimes ask me if every platform reduces down to two players, and if that happens, then what is GCP doing as number three in the public cloud. And my answer to that is you’re asking the wrong question.
It’s not AWS versus Azure versus GCP versus Alibaba versus IBM. These are not stacks. These are clouds. And the two stacks have not emerged fully, but we certainly believe in the open source one that is emerging. And you can argue that in the Windows base, it has emerged with Azure Stack. Those are the two most likely to last for the next 20 years. And I would argue that CSP has a good chance to be the majority choice in in those next 20 years just because Linux has grown quite a bit along with the whole open source ecosystem, and CSP plays right into that ecosystem.
TPM: Can CSP be a substrate that can run across all or most of the public clouds and private clouds together?
Urs Hölzle: Theoretically, yes, because Kubernetes, Istio, Knative – all of these things are fully open source, so you can actually run them yourself.
TPM: Ah, but that wasn’t the question. My question was: Can you, a Google, be the universal provider and provide that comfort level across all of those platforms with this Kubernetes stack?
Urs Hölzle: I think we could. Right now, what we’re focusing on is really GCP plus on premises. It’s hard enough to get this to work really, really seamlessly. That’s what we’re working on right now, that’s what the beta is and what the alpha has been. But from a technical perspective, there’s no reason CSP couldn’t work on AWS or Azure because they have Linux VMs and they run Kubernetes, so it ought to work. But it’s definitely not something that we support today and it’s also not something that we focus on with this alpha and beta period.
TPM: It is still early days, but clearly it is not stupid to think of Google as positioning CSP as a means to avoid vendor lock in, and not because all of these open source things are available, because at that point you are relying on your own team or someone else to put it together. But if Google supports CSP on common virtualized environments in the enterprise and on all of the major public clouds, you can help enterprises manage it, keep it consistent, and then say, “Okay, AWS. What’s your move?”
Urs Hölzle: That is definitely not what we’re saying right now. Again, from a technical perspective there is no reason why this wouldn’t work. We haven’t tried it, so we may run into reasons why it might not work, but theoretically speaking if you use VMware on premise then you know it doesn’t look that different from AWS or Azure as a sea of VMs.
TPM: So you’re coming out of the alpha and today going into beta. How long do you think before CSP is generally available and has support contracts from Google?
Urs Hölzle: We have our stability requirements for GA, and we take GA seriously. Sometimes our customers tell us our beta is better than other people’s GA. The beta is pretty fast after the alpha, and that’s a good sign. It’s a big complicated system and our feedback has been very, very good from the alpha, which is why we’re confident to put it into beta now. GA depends on the broader use cases we will see with the open beta, and we will see what the feedback is both feature-wise and stability-wise before we go into fully supported GA.
The other prerequisite that we really need for a GA is a full certification process for the on premises infrastructure. We can’t we can’t support something GA in unknown environments. Our goal is for CSP to be only on certified platforms, but to be reasonably broad right now the beta runs on the VMware because that’s the most broadly available enterprise environment. So that’s why we picked it. But it’s not deeply dependent on that but really for on premise support to work we know it has to be coming with constraints so that we know when there is a problem that we can replicate it in a test environment, and it’s also an environment that we actually fully know.
TPM: Are you going to offer it as bare metal as well at some point, and can you?
Urs Hölzle: It is not the plan. So currently CSP assumes there is something that provides the VMs for Kubernetes. We are not solving the infrastructure management problem at the lowest level. We are assuming that you have an existing solution and we are going to let you choose that to the extent that we can. There’s lots of companies that have VMware or Red Hat infrastructure tools, and we feel that that’s the customer’s choice. They provision the cluster, so to speak. and we’re really dealing with and managing the bits inside.
TPM: So then you can ride on off the certifications of whatever provisioning tools and virtualization layers companies already have and that you certify against.
Urs Hölzle: To some extent when it comes to hardware, yes. We still have to worry about that container OS and the other bits and maybe performance benchmarks and other things like that just to make sure that companies can have a good experience in a certified environment. The hardware that you operate CSP upon has to be reasonably new.
TPM: What is your what is your revenue model for this thing? What does Google get from this?
Urs Hölzle: It’s a licensed product. So it’s a per node license model similar to that revenue structure that we have for a GKE.
TPM: Will system vendors and other channel partners sell it for you? Will it be like Red Hat in the early days, when all the system vendors got behind it?
Urs Hölzle: We are not announcing that yet, and there is not a channel for the beta. And that really is coupled to all those certifications that need to be done. We will definitely announce that at GA because that’s an important part of CSP working.
TPM: When you look out ahead, you have a certain number of GCP customers and there are plenty more to chase. Google is being aggressive with your datacenter rollouts this year. You want to be more competitive in getting customers who have not yet moved an appreciable number of their applications to the cloud to pick Google Cloud Platform. This is I think a good lever to do so. Microsoft has been – I won’t say brilliant but smart – about doing the same thing with the Windows base. They got people using Active Directory on the cloud without even knowing it. But the question I have now for Google is, how does this all map out? Do you envision for the short term you might have as much capacity on premises at customer sites than you have on GCP, and then over time it shifts back and forth depending on their moods and data sovereignty issues or whatever? How is this thing going to grow, and how will its shape change?
Urs Hölzle: It’s a good question we haven’t really looked at it from this sort of infrastructure perspective because this is really a software stack and are our goal is to win and be the default software stack for the next 20 years. That’s really what we want to do. You know we want everyone to conclude that that this is as safe choice says as Linux.
And the adoption will actually take a while, right. The reason why 90 percent of workloads are on premise is not because they’re all not suitable for the cloud or not suitable for containerization, et cetera. It’s just that it’s a lot of work and also requires a lot of training first. Most large enterprises are not actually able to do that today. They have too few trained people. And one of the big advantages of having a stack like CSP that is open and ubiquitous is that that now means you can really go and invest in training because you know what you people want to train your people on and at that point you have not had to go and have exactly everything in your cloud migration strategy figured out.
It is about mindshare with the developers, and mindshare with the CIOs and the CFOs who want an alternative that’s not vendor specific because they want to be in a safe position for the next 10 to 20 years.
If CSP is broadly deployed atop on premises infrastructure, it will be a significant upgrade to their security posture. But it is going to take a while because it really means companies have got to go containerize their binaries, and hopefully we can get that down to a few hours per binary. But it is still it’s going to be a fair amount of work. The training is going to be a fair amount of work and actually a bottleneck to the speed of the migration. And whether that then turns out that most people go to the cloud immediately once they’ve done this or whether they economic reasons to stay on premise, it is hard to tell. I think that’s a good problem to have because it means the stack has been established right. So certainly if we had more and more cores under management at on premises clouds than in the public cloud, that would still be a huge success. And to some extent given that the 90 percent of workloads are on premises that could happen at some point right when it’s kind of peak adoption but not yet peak migration to the cloud.
TPM: This is what I’m anticipating. But if you said, “No, that’s absolutely not going to happen,” then I would have to pay attention.
Urs Hölzle: The thing is, 90 percent of applications still on premises is huge. Maybe 20 percent to 30 percent of them are actually really hard to convert because they are mainframe this and COBOL that. Our roadmap is really about getting this to GA, establishing an open stack, and using the success of Kubernetes – really this is in a way Kubernetes 3.0, right? Kubernetes now can run your stuff anywhere, and your stuff is a service, and there are ways to secure, monitor, and deploy your services that are containerized. Or actually that are not containerized. We have people using CSP without the full containerization and it works.
TPM: Was getting to CSP the plan all along when you opened up Kubernetes almost five years ago? When you started Kubernetes way back in the dawn of time, my understanding was that not everybody at Google was sure that that was the right thing to do. Some were, others weren’t.
Urs Hölzle: I would say “plan” is the strong word. Hope is also a four letter word.
TPM: It’s one of the good ones, though.
Urs Hölzle: The hope definitely was that in the long run we could help create a software stack and this was not about hosting, so to speak. There’s a really huge difference between the two. If cloud is just better hosting of applications that looks a bit more or less the same way on premises – they have subnets and they have VMs and they have to patch OSes and all of that stuff – if that’s the only thing that cloud brings, then that really will be a disappointment because your people overhead and your technology problems are going to look pretty similar to what they looked in the past decade. I think plan and vision are strong statements because it means you had a complete map of how these things will work out. Hope basically says while you were definitely hoping that it would evolve into that, but you haven’t figured out all of the steps. So I think I claim hope.
TPM: How close is CSP to the experience that developers and administrators inside of Google, using its internal systems like Borg, have?
Urs Hölzle: You know, CSP is actually better in some aspects, like the way services are described, managed, and secured is significantly cleaner than what we’re using in Borg. So that’s the one thing that actually if you look at it and you say you know do I have this in Borg, you say no I wish I had this.
TPM: So at what point do you throw out Borg and start using CSP internally?
Urs Hölzle: It’s possible. We have definitely had discussions of whether we want to port CSP to Borg. And in your question about cross-cloud – should we port this to AWS, et cetera – this might actually be something we would do first to test that you could have a large underlying cloud and have a consistent experience. Test that idea in-house. But that’s speculation at this point.
TPM: Well, that is my favoritest thing.
Urs Hölzle: Speculation. I see.
Amazon Web Services, already a big player in databases, is launching a new business intelligence tool to help non-technical people make sense of all that data.
QuickSight, now in preview, is a “very fast cloud-powered business intelligence service,” according to Amazon (AMZN) senior vice president Andy Jassy, speaking at AWS Re:invent in Las Vegas.
QuickSight promises to enable business users to peer inside the data residing in various AWS repositories, including RedShift data warehouse, Elastic MapReduce, and Amazon relational database services. There they can see relationships between data, the company said.
Then a tool called Autograph can help them build an intelligence profile about all that data, said Matt Wood, general manager of product strategy for AWS.
But some, including Forrester Research senior analyst Paul Miller, see SPICE (for Super-fast Parallel In-memory Calculation Engine), as the real key here.
This is part of Amazon’s push to make services relevant to business users as well as the developers who have driven the public cloud’s success so far.
Oh, and QuickSight will be 1/10th the cost of traditional BI tools, which went unnamed although Jassy noted a tool with a name that rhymes with “Hognos,” a reference to IBM’s (IBM) Cognos BI tool but it’s not hard to see QuickSight competing down the road with tools like Tableau as well, Miller said.
This story will be updated during the Re:Invent keynote.
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This story was updated with additional analyst comment and to correct the spelling of QuickSight.
