Category Archives: Data Services

Fundamental Challenges in Data Reusability and Repurposing (Part 1 of 3)

Apparently, everyone’s favorites words these days are “big data.” But just because some new tools and techniques promise the potential of absorbing and analyzing huge amounts of data from a variety of sources, it does not mean that installing Hadoop in your enterprise is going to automatically help you to get new insights from existing and “big data,” faster. (more…)

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Posted in Big Data, Data Services, SOA | Tagged , | 2 Comments

Understanding the Intersection of SOA and Data Integration

Sometimes when you want to sell SOA, you need to sell the concept and not the buzzword.  Case in point, when I speak at a conference.  If I talk about SOA patterns as a way to drive to a better architecture, I often see eyes begin to roll.  However, if I say we’re looking to externalize services that will be meshed and re-meshed together to form business solutions, thus providing agility…the eyes light up.  Funny thing is, I’m talking about the same thing. (more…)

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Posted in Data Governance, Data Services, SOA | Tagged , | Leave a comment

Social, Mobile, Cloud, Big Data and … Agile BI

I just came back from MicroStrategy World. There were many conversations about social, mobile, cloud and big data. There was strong interest in cloud, clear adoption of mobile, and some big data adoption. eHarmony had a great presentation about how they handle big data with Informatica, and how they’re starting to use Hadoop with Informatica HParser running on Hadoop for processing JSON.

But that wasn’t the number one conversation.  The one topic that everyone was interested in – and I talked to nearly 100 customers and partners over four days – was creating new reports faster, or Agile BI(more…)

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Posted in Big Data, Business/IT Collaboration, Data Integration Platform, Data Services, Data Warehousing, Informatica 9.1, Partners, Profiling, Real-Time, Vertical | Tagged , , , , , , | 1 Comment

ANNOUNCING! The 2012 Data Virtualization Architect-to-Architect & Business Value Program

Today, agility and timely visibility are critical to the business. No wonder CIO.com, states that business intelligence (BI) will be the top technology priority for CIOs in 2012. However, is your data architecture agile enough to handle these exacting demands?

In his blog Top 10 Business Intelligence Predictions For 2012, Boris Evelson of Forrester Research, Inc., states that traditional BI approaches often fall short for the two following reasons (among many others):

  • BI hasn’t fully empowered information workers, who still largely depend on IT
  • BI platforms, tools and applications aren’t agile enough (more…)
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Posted in Big Data, Business/IT Collaboration, CIO, Customer Acquisition & Retention, Customers, Data Integration, Data Integration Platform, Data masking, Data Privacy, Data Quality, Data Services, Data Transformation, Data Warehousing, Governance, Risk and Compliance, Informatica 9.1, Informatica Events, Mainframe, Master Data Management, Mergers and Acquisitions, Operational Efficiency, Profiling, Real-Time, SOA, Vertical | Tagged , , , , , , , , , , , , | Leave a comment

What it Takes to Be a Leader in Data Virtualization!

If you haven’t already, I think you should read The Forrester Wave™: Data Virtualization, Q1 2012. For several reasons – one, to truly understand the space, and two, to understand the critical capabilities required to be a solution that solves real data integration problems.

At the very outset, let’s clearly define Data Virtualization. Simply put, Data Virtualization is foundational to Data Integration. It enables fast and direct access to the critical data and reports that the business needs and trusts. It is not to be confused with simple, traditional Data Federation. Instead, think of it as a superset which must complement existing data architectures to support BI agility, MDM and SOA. (more…)

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Posted in Data Integration Platform, Data masking, Data Quality, Data Services, Data Transformation, Data Warehousing, Enterprise Data Management, Financial Services, Governance, Risk and Compliance, Healthcare, Informatica 9.1, Integration Competency Centers, Mainframe, Master Data Management, Mergers and Acquisitions, News & Announcements, Operational Efficiency, Pervasive Data Quality, Profiling, Public Sector, Real-Time, SOA, Telecommunications, Vertical | Tagged , , , , , , , , , , | Leave a comment

From Big Insights to Fast Actions with Big Data

If you’re reading this article, you’re probably interested in big data, but don’t really know what you’re looking for with big data or how you’ll find it.  Don’t feel confused. It’s not like traditional analytics, where you know the structure of the data – the relations across sources, the dimensions to build, the calculations to perform – and the reports you need.  Big data can be completely unstructured, with no clear relationships. And you don’t know what you’re looking for until you find patterns.  A complaint might come in about an online shopping cart being wiped out, which is what happened to my wife with a big toy retailer during some online Christmas shopping. I’ll tell you right now they ended up losing a lot of money. If they’re using big data, they might find a pattern of the steps that made her hit that bug.  Then they might search for all customers that had the same problem, get their e-mail addresses or names, and do a recovery campaign.  I hope the retailer is using big data properly. My wife would receive a call, and get that order. They’d be happy, and I’d be happy.

(more…)

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Dodd-Frank Legislation and Structured Data Retention

The “Dodd-Frank Wall Street Reform and Consumer Protection Act” has recently been passed by the US federal government to regulate financial institutions. Per this legislation, there will be more “watchdog” agencies that will be auditing banks, lending and investment institutions to ensure compliance. As an example, there will be an Office of Financial Research within the Federal Treasury responsible for collecting and analyzing data. This legislation brings with it a higher risk of fines for non-compliance. (more…)

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Posted in Application ILM, Application Retirement, Big Data, Business Impact / Benefits, Business/IT Collaboration, CIO, Customer Acquisition & Retention, Customer Services, Customers, Data Governance, Data Services, Data Warehousing, Database Archiving, Enterprise Data Management, Financial Services, Governance, Risk and Compliance, Mainframe, Mergers and Acquisitions, Operational Efficiency | Tagged , , , , , , , , , , , , , , , | Leave a comment

From Big Insights to Fast Actions with Big Data

If you’re reading this article, you’re probably interested in big data, but don’t really know what you’re looking for with big data or how you’ll find it.  Don’t feel confused. It’s not like traditional analytics, where you know the structure of the data – the relations across sources, the dimensions to build, the calculations to perform – and the reports you need.  Big data can be completely unstructured, with no clear relationships. And you don’t know what you’re looking for until you find patterns.  A complaint might come in about an online shopping cart being wiped out, which is what happened to my wife with a big toy retailer during some online Christmas shopping. I’ll tell you right now they ended up losing a lot of money. If they’re using big data, they might find a pattern of the steps that made her hit that bug.  Then they might search for all customers that had the same problem, get their e-mail addresses or names, and do a recovery campaign.  I hope the retailer is using big data properly. My wife would receive a call, and get that order. They’d be happy, and I’d be happy. (more…)

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Posted in Big Data, Data Services | Tagged , , , , , , , , | Leave a comment

Seven Essential Best Practices For Data Center Consolidation

Data center consolidation is much more than physical movement of servers and infrastructure.  In fact, the facility costs and power savings are just the tip of the opportunity. The biggest benefits come from using the consolidation initiative as a catalyst to rationalize the application portfolio, archive inactive data and establish one version of the truth for the data that is left. (more…)

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Posted in Application ILM, Application Retirement, Cloud Computing, Data Integration, Data Quality, Data Services, Data Warehousing, Enterprise Data Management, Integration Competency Centers | Tagged , , , , , , , , , , | Leave a comment

Hadoop Tuesday Update: Hadoop Paves the Way to Data Services

For too long, many enterprises have been attempting to sort through increasingly complex spaghetti architectures with point-to-point data integration. “They get to the point where when they want to introduce a new product or make a change, they have to touch 30 different systems,” says John Akred, data and platforms lead at Accenture Technology Labs. “That has real consequences in the marketplace for enterprises.”

John continued that Hadoop – an open-source software framework that enables applications to run across large arrays of nodes, accessing petabytes’ worth of data – will help organizations manage and scale up to the huge volumes of unstructured and semi-structured data now surging into organizations. I recently had the opportunity to join John, along with Julianna DeLua, Enterprise Solution Evangelist for Big Data from Informatica, for a discussion of Hadoop’s role in the emerging data as a platform paradigm. The session was the second session of the Hadoop Tuesdays Webinar series, sponsored by Informatica and Cloudera. (more…)

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Posted in Big Data, Business Impact / Benefits, Business/IT Collaboration, CIO, Cloud Computing, Data Governance, Data Integration, Data Quality, Data Services, Governance, Risk and Compliance, Informatica Events, Operational Efficiency, Real-Time, SOA | Leave a comment