Welcome!

@CloudExpo Authors: John Katrick, Elizabeth White, Liz McMillan, Destiny Bertucci, Mark Herring

Related Topics: Agile Computing, @CloudExpo

Agile Computing: Article

Google Chrome and Business Intelligence in the Cloud

Panorama this week released the latest version of its gadget for Google Docs

What will Business Intelligence be like in the future? "BI in the Cloud" architecture is only going to be feasible when most of your source data lives in the cloud already, possibly in something something like SQL Server Data Services or Amazon Simple DB or Google BigTable; or possibly in a hosted app like Salesforce.com.

The big news last week was of course Google's announcement of Chrome. And as several of the more informed bloggers noted (eg Nick Carr, Tim McCoy), the point of Chrome is to be not so much a browser as a platform for online applications, leading to a world where there is no obvious distinction between online and offline applications.

When I think about applications I think about Business Intelligence applications, and of course thinking about online BI applications and Google I thought of Panorama - which incidentally this week released the latest version of its gadget for Google Docs.

Now, I'll be honest and say that I've had a play with it and it is very slow and there are a few bugs still around. But it's a beta, and I'm told that it's running on a test server and performance will be better once it is released, and anyway it's only part of a wider client tool story (outlined and analysed nicely by Nigel Pendse here) which starts in the full Novaview client and involves the ability to publish views into Google Docs for a wider audience and for collaboration.

I guess it's a step towards the long-promised future where the desktop PC will have withered away into nothing more than a machine to run a browser on, and all our BI apps and all our data will be accessible over the web.

This all makes me wonder what BI will be like in the future...Time for some wild, half-formed speculation:

  • Starting at the back, the first objection raised to a purely 'BI in the cloud' architecture is that you've got to upload your data to it somehow. Do you fancy trying to push what you load into your data warehouse every day up to some kind of web service? I thought not. So I think 'BI in the cloud' architecture is only going to be feasible when most of your source data lives in the cloud already, possibly in something something like SQL Server Data Services or Amazon Simple DB or Google BigTable; or possibly in a hosted app like SalesForce.com. This requirement puts us a long way into the future already, although for smaller data volumes and one-off analyses perhaps it's not so much an issue.

  • You also need your organization to accept the idea of storing its most valuable data in someone else's data center. Now I'm not saying this as a kind of "why don't those Luddites hurry up and accept this cool new thing"-type comment, because there are some very valid objections to be made to the idea of cloud computing at the moment, like: can I guarantee good service levels? Will the vendor I chose go bust, or get bought, or otherwise disappear in a year or two? What are the legal implications of moving data to the cloud and possibly across borders? It will be a while before there are good answers to these questions and even when there are, there's going to be a lot of inertia that needs to be overcome.

    The analogy most commonly used to describe the brave new world of cloud computing is with the utility industry: you should be able to treat IT like electricity or water and treat it like a service you can plug into whenever you want, and be able to assume it will be there when you need it (see, for example, "The Big Switch").

    As far as data goes, though, I think a better analogy is with the development of the banking industry. At the moment we treat data in the same way that a medieval lord treated his money: everyone has their own equivalent of a big strong wooden box in the castle where the gold is kept, in the form of their own data centre. Nowadays the advantages of keeping money in the bank are clear - why worry about thieves breaking in and stealing your gold in the night, why go to the effort of moving all those heavy bags of gold around yourself, when it's much safer and easier to manage and move money about when it's in the bank? We may never physically see the money we possess but we know where it is and we can get at it when we need it. And I think the same attitude will be taken of data in the long run, but it does need a leap of faith to get there (how many people still keep money hidden in a jam jar in a kitchen cupboard?).

  • Once your data's in the cloud, you're going to want to load it into a hosted data warehouse of some kind, and I don't think that's too much to imagine given the cloud databases already mentioned. But how to load and transform it? Not so much of an issue if you're doing ELT, but for ETL you'd need a whole bunch of new hosted ETL services to do this. I see Informatica has one in Informatica On Demand; I'm sure there are others.

  • You're also going to want some kind of analytical engine on top - Analysis Services in the cloud anyone? Maybe not quite yet, but companies like Vertica (http://www.vertica.com/company/news_and_events/20080513) and Kognitio (http://www.kognitio.com/services/businessintelligence/daas.php) are pushing into this area already; the architecture this new generation of shared-nothing MPP databases surely lends itself well to the cloud model: if you need better performance you just reach for your credit card and buy a new node.

  • You then want to expose it to applications which can consume this data, and in my opinion the best way of doing this is of course through an OLAP/XMLA layer. In the case of Vertica you can already put Mondrian on top of it (http://www.vertica.com/company/news_and_events/20080212) so you can already have this if you want it, but I suspect that you'd have to invest as much time and money to make the OLAP layer scale as you had invested to make the underlying database scale, otherwise it would end up being a bottleneck. What's the use of having a high-performance database if your OLAP tool can't turn an MDX query, especially one with lots of calculations, into an efficient set of SQL queries and perform the calculations as fast as possible? Think of all the work that has gone into AS2008 to improve the performance of MDX calculations - the performance improvements compared to AS2005 are massive in some cases, and the AS team haven't even tackled the problem of parallelism in the formula engine at all yet (and I'm not sure if they even want to, or if it's a good idea). Again there's been a lot of buzz recently about the implementation of MapReduce by Aster and Greenplum to perform parallel processing within the data warehouse, which although it aims to solve a slightly different set of problems, it nonetheless shows that problem is being thought about.

  • Then it's onto the client itself. Let's not talk about great improvements in usability and functionality, because I'm sure badly designed software will be as common in the future as it is today. It's going to be delivered over the web via whatever the browser has evolved into, and will certainly use whatever modish technologies are the equivalent of today's Silverlight, Flash, AJAX etc. But will it be a stand-alone, specialised BI client tool, or will there just be BI features in online spreadsheets(or whatever online spreadsheets have evolved into)? Undoubtedly there will be good examples of both but I think the latter will prevail. It's true even today that users prefer their data in Excel, the place they eventually want to work with their data; the trend would move even faster if MS pulled their finger out and put some serious BI features in Excel...

    In the short-term this raises an interesting question though: do you release a product which, like Panorama's gadget, works with the current generation of clunky online apps in the hope that you can grow with them? Or do you, like Good Data and Birst (which I just heard about yesterday, and will be taking a closer look at soon) create your own complete, self-contained BI environment which gives a much better experience now but which could end up being an online dead-end? It all depends on how quickly the likes of Google and Microsoft (which is supposedly going to be revealing more about its online services platform soon) can deliver usable online apps; they have the deep pockets to be able to finance these apps for a few releases while they grow into something people want to use, but can smaller companies like Panorama survive long enough to reap the rewards? Panorama has a traditional BI business that could certainly keep it afloat, although one wonders whether they are angled to be acquired by Google.

So there we go, just a few thoughts I had. Anyone got any comments? I like a good discussion!

 

More Stories By Chris Webb

Chris Webb is an IT Consultant based in London, UK.

Comments (1) View Comments

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


Most Recent Comments
pfelix 09/15/08 11:14:28 AM EDT

Great article. Lots of good points are made here. "Cloud" computing makes a lot of sense and will undoubtedly be accepted by many organizations in the future. Currently the BI SaaS offering is in a very early stage of development, but it also offers a lot of useful feature. Anyone with a spreadsheet that wants to do analysis in a collaborative manner can accomplish this more easily than ever before. Panorama's new flash gadget which is available to both Google doc users and iGoogle users can be leveraged by linking it to existing OLAP data sources in only a matter of minutes. As the article points out, there are challenges. Uploading transactional databases to the "cloud" is not a very realistic strategy. However, it is realistic to upload reconciled data which can be a much smaller set of data while still offering significant analysis abilities. Another common objection to BI SaaS is security. The data used in BI analysis is typically some of the most confidential and critical to an organization's success. Pushing this data to a third party is not something to take lightly. However, with today's highly redundant data centers and encryption techniques it is likely that BI data on the cloud will commonly be more secure that it would be in self maintained IT infrastructure. This is an exciting paradigm shift that the BI industry and software industry in general is going through. It will be very interesting to watch this transition.

@CloudExpo Stories
The dynamic nature of the cloud means that change is a constant when it comes to modern cloud-based infrastructure. Delivering modern applications to end users, therefore, is a constantly shifting challenge. Delivery automation helps IT Ops teams ensure that apps are providing an optimal end user experience over hybrid-cloud and multi-cloud environments, no matter what the current state of the infrastructure is. To employ a delivery automation strategy that reflects your business rules, making r...
Modern software design has fundamentally changed how we manage applications, causing many to turn to containers as the new virtual machine for resource management. As container adoption grows beyond stateless applications to stateful workloads, the need for persistent storage is foundational - something customers routinely cite as a top pain point. In his session at @DevOpsSummit at 21st Cloud Expo, Bill Borsari, Head of Systems Engineering at Datera, explored how organizations can reap the bene...
Kubernetes is an open source system for automating deployment, scaling, and management of containerized applications. Kubernetes was originally built by Google, leveraging years of experience with managing container workloads, and is now a Cloud Native Compute Foundation (CNCF) project. Kubernetes has been widely adopted by the community, supported on all major public and private cloud providers, and is gaining rapid adoption in enterprises. However, Kubernetes may seem intimidating and complex ...
In a recent survey, Sumo Logic surveyed 1,500 customers who employ cloud services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). According to the survey, a quarter of the respondents have already deployed Docker containers and nearly as many (23 percent) are employing the AWS Lambda serverless computing framework. It’s clear: serverless is here to stay. The adoption does come with some needed changes, within both application development and operations. Tha...
In his session at 21st Cloud Expo, Michael Burley, a Senior Business Development Executive in IT Services at NetApp, described how NetApp designed a three-year program of work to migrate 25PB of a major telco's enterprise data to a new STaaS platform, and then secured a long-term contract to manage and operate the platform. This significant program blended the best of NetApp’s solutions and services capabilities to enable this telco’s successful adoption of private cloud storage and launching ...
In his general session at 21st Cloud Expo, Greg Dumas, Calligo’s Vice President and G.M. of US operations, discussed the new Global Data Protection Regulation and how Calligo can help business stay compliant in digitally globalized world. Greg Dumas is Calligo's Vice President and G.M. of US operations. Calligo is an established service provider that provides an innovative platform for trusted cloud solutions. Calligo’s customers are typically most concerned about GDPR compliance, application p...
The past few years have brought a sea change in the way applications are architected, developed, and consumed—increasing both the complexity of testing and the business impact of software failures. How can software testing professionals keep pace with modern application delivery, given the trends that impact both architectures (cloud, microservices, and APIs) and processes (DevOps, agile, and continuous delivery)? This is where continuous testing comes in. D
The 22nd International Cloud Expo | 1st DXWorld Expo has announced that its Call for Papers is open. Cloud Expo | DXWorld Expo, to be held June 5-7, 2018, at the Javits Center in New York, NY, brings together Cloud Computing, Digital Transformation, Big Data, Internet of Things, DevOps, Machine Learning and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding busin...
Smart cities have the potential to change our lives at so many levels for citizens: less pollution, reduced parking obstacles, better health, education and more energy savings. Real-time data streaming and the Internet of Things (IoT) possess the power to turn this vision into a reality. However, most organizations today are building their data infrastructure to focus solely on addressing immediate business needs vs. a platform capable of quickly adapting emerging technologies to address future ...
SYS-CON Events announced today that Synametrics Technologies will exhibit at SYS-CON's 22nd International Cloud Expo®, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Synametrics Technologies is a privately held company based in Plainsboro, New Jersey that has been providing solutions for the developer community since 1997. Based on the success of its initial product offerings such as WinSQL, Xeams, SynaMan and Syncrify, Synametrics continues to create and hone in...
You know you need the cloud, but you’re hesitant to simply dump everything at Amazon since you know that not all workloads are suitable for cloud. You know that you want the kind of ease of use and scalability that you get with public cloud, but your applications are architected in a way that makes the public cloud a non-starter. You’re looking at private cloud solutions based on hyperconverged infrastructure, but you’re concerned with the limits inherent in those technologies.
Nordstrom is transforming the way that they do business and the cloud is the key to enabling speed and hyper personalized customer experiences. In his session at 21st Cloud Expo, Ken Schow, VP of Engineering at Nordstrom, discussed some of the key learnings and common pitfalls of large enterprises moving to the cloud. This includes strategies around choosing a cloud provider(s), architecture, and lessons learned. In addition, he covered some of the best practices for structured team migration an...
With tough new regulations coming to Europe on data privacy in May 2018, Calligo will explain why in reality the effect is global and transforms how you consider critical data. EU GDPR fundamentally rewrites the rules for cloud, Big Data and IoT. In his session at 21st Cloud Expo, Adam Ryan, Vice President and General Manager EMEA at Calligo, examined the regulations and provided insight on how it affects technology, challenges the established rules and will usher in new levels of diligence arou...
Most technology leaders, contemporary and from the hardware era, are reshaping their businesses to do software. They hope to capture value from emerging technologies such as IoT, SDN, and AI. Ultimately, irrespective of the vertical, it is about deriving value from independent software applications participating in an ecosystem as one comprehensive solution. In his session at @ThingsExpo, Kausik Sridhar, founder and CTO of Pulzze Systems, discussed how given the magnitude of today's application ...
The “Digital Era” is forcing us to engage with new methods to build, operate and maintain applications. This transformation also implies an evolution to more and more intelligent applications to better engage with the customers, while creating significant market differentiators. In both cases, the cloud has become a key enabler to embrace this digital revolution. So, moving to the cloud is no longer the question; the new questions are HOW and WHEN. To make this equation even more complex, most ...
As you move to the cloud, your network should be efficient, secure, and easy to manage. An enterprise adopting a hybrid or public cloud needs systems and tools that provide: Agility: ability to deliver applications and services faster, even in complex hybrid environments Easier manageability: enable reliable connectivity with complete oversight as the data center network evolves Greater efficiency: eliminate wasted effort while reducing errors and optimize asset utilization Security: imple...
Mobile device usage has increased exponentially during the past several years, as consumers rely on handhelds for everything from news and weather to banking and purchases. What can we expect in the next few years? The way in which we interact with our devices will fundamentally change, as businesses leverage Artificial Intelligence. We already see this taking shape as businesses leverage AI for cost savings and customer responsiveness. This trend will continue, as AI is used for more sophistica...
In his Opening Keynote at 21st Cloud Expo, John Considine, General Manager of IBM Cloud Infrastructure, led attendees through the exciting evolution of the cloud. He looked at this major disruption from the perspective of technology, business models, and what this means for enterprises of all sizes. John Considine is General Manager of Cloud Infrastructure Services at IBM. In that role he is responsible for leading IBM’s public cloud infrastructure including strategy, development, and offering m...
Digital transformation is about embracing digital technologies into a company's culture to better connect with its customers, automate processes, create better tools, enter new markets, etc. Such a transformation requires continuous orchestration across teams and an environment based on open collaboration and daily experiments. In his session at 21st Cloud Expo, Alex Casalboni, Technical (Cloud) Evangelist at Cloud Academy, explored and discussed the most urgent unsolved challenges to achieve f...
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and B...