Tag Archives: Microsoft
Strata 2015 – Making Data Work for Everyone with Cloud Integration, Cloud Data Management and Cloud Machine Learning
Are you ready to answer “Yes” to the questions:
a) “Are you Cloud Ready?”
b) “Are you Machine Learning Ready?”
I meet with hundreds of Informatica Cloud customers and prospects every year. While they are investing in Cloud, and seeing the benefits, they also know that there is more innovation out there. They’re asking me, what’s next for Cloud? And specifically, what’s next for Informatica in regards to Cloud Data Integration and Cloud Data Management? I’ll share more about my response throughout this blog post.
The spotlight will be on Big Data and Cloud at the Strata + Hadoop World conference taking place in Silicon Valley from February 17-20 with the theme “Make Data Work”. I want to focus this blog post on two topics related to making data work and business insights:
- How existing cloud technologies, innovations and partnerships can help you get ready for the new era in cloud analytics.
- How you can make data work in new and advanced ways for every user in your company.
Today, Informatica is announcing the availability of its Cloud Integration Secure Agent on Microsoft Azure and Linux Virtual Machines as well as an Informatica Cloud Connector for Microsoft Azure Storage. Users of Azure data services such as Azure HDInsight, Azure Machine Learning and Azure Data Factory can make their data work with access to the broadest set of data sources including on-premises applications, databases, cloud applications and social data. Read more from Microsoft about their news at Strata, including their relationship with Informatica, here.
“Informatica, a leader in data integration, provides a key solution with its Cloud Integration Secure Agent on Azure,” said Joseph Sirosh, Corporate Vice President, Machine Learning, Microsoft. “Today’s companies are looking to gain a competitive advantage by deriving key business insights from their largest and most complex data sets. With this collaboration, Microsoft Azure and Informatica Cloud provide a comprehensive portfolio of data services that deliver a broad set of advanced cloud analytics use cases for businesses in every industry.”
Even more exciting is how quickly any user can deploy a broad spectrum of data services for cloud analytics projects. The fully-managed cloud service for building predictive analytics solutions from Azure and the wizard-based, self-service cloud integration and data management user experience of Informatica Cloud helps overcome the challenges most users have in making their data work effectively and efficiently for analytics use cases.
The new solution enables companies to bring in data from multiple sources for use in Azure data services including Azure HDInsight, Azure Machine Learning, Azure Data Factory and others – for advanced analytics.
The broad availability of Azure data services, and Azure Machine Learning in particular, is a game changer for startups and large enterprises. Startups can now access cloud-based advanced analytics with minimal cost and complexity and large businesses can use scalable cloud analytics and machine learning models to generate faster and more accurate insights from their Big Data sources.
Success in using machine learning requires not only great analytics models, but also an end-to-end cloud integration and data management capability that brings in a wide breadth of data sources, ensures that data quality and data views match the requirements for machine learning modeling, and an ease of use that facilitates speed of iteration while providing high-performance and scalable data processing.
For example, the Informatica Cloud solution on Azure is designed to deliver on these critical requirements in a complementary approach and support advanced analytics and machine learning use cases that provide customers with key business insights from their largest and most complex data sets.
Using the Informatica Cloud solution on Azure connector with Informatica Cloud Data Integration enables optimized read-write capabilities for data to blobs in Azure Storage. Customers can use Azure Storage objects as sources, lookups, and targets in data synchronization tasks and advanced mapping configuration tasks for efficient data management using Informatica’s industry leading cloud integration solution.
As Informatica fulfills the promise of “making great data ready to use” to our 5,500 customers globally, we continue to form strategic partnerships and develop next-generation solutions to stay one step ahead of the market with our Cloud offerings.
My goal in 2015 is to help each of our customers say that they are Cloud Ready! And collaborating with solutions such as Azure ensures that our joint customers are also Machine Learning Ready!
To learn more, try our free Informatica Cloud trial for Microsoft Azure data services.
I recently had the pleasure of participating in a big data panel at the Pacific Crest investor’s conference (the replay available here.) I was joined on the panel by Hortonworks, MapR, Datastax and Microsoft. There is clearly a lot of interest in the world of big data and how the market is evolving. I came away from the panel with four fundamental thoughts: (more…)
When asked by the Conference Board in 2011 to rank the challenges that keep them up at night, U.S.-based CEOs put business growth in the number one position. Growing the business means growing the customer base by delivering a superior customer experience—and that demands leadership for the elimination of customer data silos and delivering complete, reliable customer data to the business.
The CIO is in a unique strategic position to help out—and emerge as (an unexpected) customer champion. Cases of CIOs taking on the role of customer champion, in my opinion, are not prevalent enough and represent a missed opportunity to advance the organization’s quest for customer profits. Companies need to focus on such immediately actionable key metrics as understanding the value of gained and lost customers, quantities of referrals, and the movement of customers from one level of profitability to another. I call these the “Guerrilla Metrics” because they power the customer onto the corporate agenda—and will help the CEO determine the value of the corporation based on its ability to manage customers as assets. This requires enabling the integration of customer data and driving that as a priority. (more…)
Cloud Slam ’11 is the first hybrid event that I’ve been a part of – in other words, its both virtual and live. Naturally I’ll be doing a session focusing on the hybrid reality of today’s IT organization and the importance of cloud data integration.