Tag Archives: Cloud Platform
Since the survey was published, many enterprises have, indeed, leveraged the cloud to host business data in both IaaS and SaaS incarnations. Overall, there seems to be two types of enterprises: First are the enterprises that get the value of data integration. They leverage the value of cloud-based systems, and do not create additional data silos. Second are the enterprises that build cloud-based data silos without a sound data integration strategy, and thus take a few steps backward, in terms of effectively leveraging enterprise data.
There are facts about data integration that most in enterprise IT don’t yet understand, and the use of cloud-based resources actually makes things worse. The shame of it all is that, with a bit of work and some investment, the value should come back to the enterprises 10 to 20 times over. Let’s consider the facts.
Fact 1: Implement new systems, such as those being stood up on public cloud platforms, and any data integration investment comes back 10 to 20 fold. The focus is typically too much on cost and not enough on the benefit, when building a data integration strategy and investing in data integration technology.
Many in enterprise IT point out that their problem domain is unique, and thus their circumstances need special consideration. While I always perform domain-specific calculations, the patterns of value typically remain the same. You should determine the metrics that are right for your enterprise, but the positive values will be fairly consistent, with some varying degrees.
Fact 2: It’s not just about data moving from place-to-place, it’s also about the proper management of data. This includes a central understanding of data semantics (metadata), and a place to manage a “single version of the truth” when it comes to dealing massive amounts of distributed data that enterprises must typically manage, and now they are also distributed within public clouds.
Most of those who manage enterprise data, cloud or no-cloud, have no common mechanism to deal with the meaning of the data, or even the physical location of the data. While data integration is about moving data from place to place to support core business processes, it should come with a way to manage the data as well. This means understanding, protecting, governing, and leveraging the enterprise data, both locally and within public cloud providers.
Fact 3: Some data belongs on clouds, and some data belongs in the enterprise. Those in enterprise IT have either pushed back on cloud computing, stating that data outside the firewall is a bad idea due to security, performance, legal issues…you name it. Others try to move all data to the cloud. The point of value is somewhere in between.
The fact of the matter is that the public cloud is not the right fit for all data. Enterprise IT must carefully consider the tradeoff between cloud-based and in-house, including performance, security, compliance, etc.. Finding the best location for the data is the same problem we’ve dealt with for years. Now we have cloud computing as an option. Work from your requirements to the target platform, and you’ll find what I’ve found: Cloud is a fit some of the time, but not all of the time.
As Informatica Cloud product managers, we spend a lot of our time thinking about things like relational databases. Recently, we’ve been considering their limitations, and, specifically, how difficult and expensive it is to provision an on-premise data warehouse to handle the petabytes of fluid data generated by cloud applications and social media. As a result, companies have to often make tradeoffs and decide which data is worth putting into their data warehouse.
Certainly, relational databases have enormous value. They’ve been around for several decades and have served as a bulwark for storing and analyzing structured data. Without them, we wouldn’t be able to extract and store data from on-premise CRM, ERP and HR applications and push it downstream for BI applications to consume.
With the advent of cloud applications and social media however, we are now faced with managing a daily barrage of massive amounts of rapidly changing data, as well as the complexities of analyzing it within the same context as data from on-premise applications. Add to that the stream of data coming from Big Data sources such as Hadoop which then needs to be organized into a structured format so that various correlation analyses can be run by BI applications – and you can begin to understand the enormity of the problem.
Up until now, the only solution has been to throw development resources at legacy on-premise databases, and hope for the best. But given the cost and complexity, this is clearly not a sustainable long-term strategy.
As an alternative, Amazon Redshift, a petabyte-scale data warehouse service in the cloud has the right combination of performance and capabilities to handle the demands of social media and cloud app data, without the additional complexity or expense. Its Massively Parallel Processing (MPP) architecture allows for the lightning fast loading and querying of data. It also features a larger block size, which reduces the number of I/O requests needed to load data, and leads to better performance.
By combining Informatica Cloud with Amazon Redshift’s parallel loading architecture, you can make use of push-down optimization algorithms, which process data transformations in the most optimal source or target database engines. Informatica Cloud also offers native connectivity to cloud and social media apps, such as Salesforce, NetSuite, Workday, LinkedIn, and Twitter, to name a few, which makes it easy to funnel data from these apps into your Amazon Redshift cluster at faster speeds.
If you’re at the Amazon Web Services Summit today in New York City, then you heard our announcement that Informatica Cloud is offering a free 60-day trial for Amazon Redshift with no limitations on the number of rows, jobs, application endpoints, or scheduling. If you’d like to learn more, please visit our Redshift Trial page or go directly to the trial.
For the past few years I’ve been posting my cloud integration predictions. It’s always interesting to look back to see what transpired and evaluate where I scored well and where I was off base. Here’s how I did in 2011: 2011 #Cloud Integration Predictions in Review. My 2012 cloud integration predictions centered around Data as a Service, Master Data Management, Business Intelligence and enterprise IT adoption of all flavors of cloud computing. Before I throw my hat into the 2013 predictions ring, here’s a review of 2012.
Informatica Cloud Winter 2013 has arrived. This is the fourteenth release of the company’s award-winning family of cloud integration applications and integration platform as a service (iPaaS), which has now expanded to include Informatica Cloud Master Data Management (MDM). In this post I’ll provide an overview of the new cloud integration and cloud data quality capabilities. Be sure to register for a 30 day trial and/or attend the release webinar on Thursday to see Informatica Cloud in action.
In 2006, Informatica announced a strategic roadmap for cloud data integration, which outlined three phases:
I’m pleased to announce that Informatica Cloud has once again been honored by salesforce.com customers with the AppExchange Best of ‘11 Award for Integration. Based entirely on user reviews for the Informatica Cloud listing on AppExchange, it’s clear that when it comes to Salesforce CRM and Force.com data integration requirements, Informatica Cloud has become the clear choice for salesforce.com customers. This is the fourth year in a row that Informatica Cloud has achieved this honor, and our free Data Loader Service continues to be the all-time most popular application on the AppExchange. (more…)
- Cloud adoption will drive two-tier cloud integration strategies
- LOB-driven cloud integration projects will lead to strategic MDM initiatives
- Cloud integration platforms will emerge
- Database.com will gain enterprise adoption
- Private Cloud confusion will continue
Here’s my assessment: (more…)
I discussed cloud integration and Informatica Cloud momentum and customer success with SIIA’s Rhianna Collier at Dreamforce 2011. Some of the questions:
- Are times changing when it comes to the importance of data integration to cloud computing adoption and success?
- With the growth of social and mobile, how is innovation changing your customer needs?
- Are you getting different questions from customers now with all of the industry changes?
- Is the social revolution the focus of next year or is it more than that?
- How do you monitor customer interactions and measure the ROI?
While most people are busy planning vacation time in August, salesforce.com customers and partners, as well as general cloud computing enthusiasts, are gearing up for Dreamforce 2011 in San Francisco later this month. According to the website, “There’s a post- PC revolution underway, and your customers have moved to a world that’s entirely social, mobile and open. Has your company?” (more…)
In 2006 Informatica announced our strategic roadmap for what was then known as “On-Demand Data Integration.” There were to be three phases: