Topic: Cloud Computing

Processing Enterprise Big Data in the Cloud

An Informatica HParser and Amazon EMR Webinar Replay.

Big data offers new ways of managing exploding amounts of data coming from an ever-growing number of sources – Internet, social media, devices, enterprise applications, partners, etc. The vision for the possibilities of big data is compelling, but how do you take the first step? How do you justify the benefits of investing in big data to the business?

Turns out that there is an easy way to test your design assumptions, perform system sizing, and evaluate potential benefits even before you commit to a project. Using cloud-based technologies from Informatica and Amazon, you can tap into enterprise data sources and instantly experiment with data processing and integration in Hadoop – no waiting required.

Watch Webinar Replay

Topics Covered Big Data, Cloud Computing, Hadoop

Informatica Maximise Return on Big Data Forum: London, 08 Oct 2012

This Informatica forum takes place at the Grange St Paul’s Hotel in London on Monday 08 Oct 2012 and will provide insight into the very latest trends, strategies and best practices for increasing the value and lowering the cost of all your data.

We are experiencing a technological era like no other – with IDC predicting that data volumes will grow by 50 times over the next decade*, data sources diversifying at a staggering rate, and data velocity increasing significantly. It’s an exciting and yet challenging time – with big business opportunities, but also big risks if the data is not managed properly.

Informatica believe the future will belong to companies that commit to maximising their “Return on Data” – from both traditional and emerging Big Data sets.

Alys Woodward from IDC will provide the keynote at this prestigious event which brings together technical industry experts and strategic visionaries to explore the roles of Data Integration, Master Data Management (MDM), Data Quality, and Information Lifecycle Management in the simple equation: return on data = value of data divided by cost of data.

What you will learn during this half day event:

  • How to capitalise on the business value of big data while avoiding unforeseen cost, complexity and risk.
  • Disciplines for measuring and continuously maximising your “return on data”.
  • The impact of cloud, social and mobile computing on how you create, manage and utilise data.
  • The multiple facets of the big data phenomenon, and its impact on your organisation.
  • The latest release of the Informatica Platform, Informatica 9.5, and the capabilities necessary to ensure that you don’t merely cope in the era of big data, but that you thrive.
  • How IT can use data to help boost value through proactive customer engagement, powered by social, mobile and cloud MDM.
  • Lean data management techniques to meet application and data warehouse service level agreements (SLAs).

Find out more about this Informatica Forum

* IDC, “The 2011 Digital Universe Study: Extracting Value from the Chaos,” June 2011

Topics Covered Big Data, Cloud Computing, Hadoop, Informatica 9.5, Lean Data Management, Master Data Management (MDM)

Ovum Research Report: Informatica Company Assessment

This Ovum Research Report gives an independent assessment of Informatica – with specific focus on how and why the Informatica single unified platform enables a variety of data management initiatives which include: enterprise data integration, data quality, cloud data integration, B2B data exchange, low-latency messaging, Information Lifecycle Management (ILM), Complex Event Processing (CEP), and Master Data Management (MDM).

The detailed report also assesses Informatica’s product roadmap, acquisition strategy and the significance of Informatica’s alignment with evolving trends in Service-Oriented Architecture (SOA) and cloud computing.

The detailed report also assesses Informatica’s product roadmap, acquisition strategy and the significance of Informatica’s alignment with evolving trends in Service-Oriented Architecture (SOA) and cloud computing.

Register for Ovum Research Report

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Topics Covered Application Retirement, B2B Data Exchange, Cloud Computing, Complex Event Processing, Data Integration, Data Migration, Data Quality, Data Warehousing, Database Archiving, Master Data Management (MDM), Service-Oriented Architecture (SOA)

Informatica Public Sector Resource Centre

Best practices for delivering customer-centric public services – based on relevant, trustworthy and timely data.

Register for Informatica Public Sector Resource Centre

This Informatica Public Sector Resource Centre includes an extensive list of white papers from the industry’s leading thinkers, independent analyst reports, product overviews, application briefs, public sector case studies, interactive product demos and web seminar replays.

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Topics Covered Application ILM, B2B Data Exchange, Cloud Computing, Data Integration, Data Migration, Data Quality, Data Warehousing, Identity Resolution, Master Data Management (MDM), Service-Oriented Architecture (SOA)

Informatica National Security Resource Centre

Best practices for delivering customer-centric public services – based on relevant, trustworthy and timely data.

Register for Informatica National Security Resource Centre

This Informatica National Security Resource Centre includes an extensive list of white papers from the industry’s leading thinkers, independent analyst reports, product overviews, application briefs, case studies, interactive product demos and web seminar replays.

Government agencies need to make critical decisions based on accurate Identity Data. Today’s global information economy means this data can be in unstructured, structured, or archived forms and derived from citizens, partners and suppliers in a variety of languages and even different countries. Complex, multi-language search-and-match analysis needs to occur in real time, with the highest accuracy in order to achieve operational intelligence and safeguard national security.

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Topics Covered Application ILM, B2B Data Exchange, Cloud Computing, Data Integration, Data Migration, Data Quality, Data Warehousing, Identity Resolution, Master Data Management (MDM), Service-Oriented Architecture (SOA)