Ash Parikh

Ash Parikh
Ash Parikh is responsible for driving Informatica’s product strategy around real-time data integration and SOA. Ash has over 17 years of industry experience in driving product innovation and strategy at technology leaders such as Raining Data, Iopsis Software, BEA, Sun and PeopleSoft. Ash is a well-published industry expert in the field of SOA and distributed computing and is a regular presenter at leading industry technology events like XMLConference, OASIS Symposium, Delphi, AJAXWorld, and JavaOne. He has authored several technical articles in leading journals including DMReview, AlignJournal, XML Journal, JavaWorld, JavaPro, Web Services Journal, and ADT Magazine. He is the co-chair of the SDForum Web services SIG.

What Does “Right Time” Data Integration Mean to You? Join the Discussions at Informatica World 2013

The way I see it – it’s all about having access to the right data at the right time. A company is like a large ship that must be effectively steered at both a strategic as well as an operational level to reach its destination – despite treacherous waters. Where am I going with this? Well, companies continuously face challenging situations such as competitive threats, customer expectations, market trends, and other external constraints. Overcoming the challenges of global uncertainty requires business agility to navigate an efficient and effective course towards achieving the company’s objectives.

Ok – so what does all this have to do with right time data integration? Actually – EVERYTHING! Companies require timely information to add value to their products, customer relationships, and business partnerships – agreed? And business conditions today are influenced by powerful market forces such as globalization, mergers and acquisitions, regulatory compliance, fierce competition, tight operating budgets, increased demands for improved customer service, and ever faster product delivery – right?  So, it should follow that only the most responsive and agile companies will perform the best.

If you are with me so far, you will immediately see the connection between business agility and the speed of data processing and delivery. This typically spans a wide range of latencies depending on the business process. In analytical data integration projects (e.g. data warehousing) latencies can range from weeks to days. Operational data integration projects on the other hand require information within hours, minutes, and seconds. Examples of such projects include real-time data warehousing, operational data hubs, data synchronization, data replication, and agile business intelligence (BI).

The success of such operational data integration projects depends on the ability to meet service level agreements (SLAs) related to data latency. You may require data delivered frequently (e.g., real-time or near- real-time) or infrequently (e.g., weekly batch windows). Or, you may need to move large data volumes or small datasets between applications. Or, have ready access to the most current data available in operational systems. Or, you may need to deliver new data and reports in days vs. months. Or, streamline the accessibility of business partner data. Or, be aware of real-time events as they occur.

So, whatever right time data integration means to you, please do join us at Informatica World 2013 to discuss – here are my recommendations on just some of the relevant activities on this topic:

BREAKOUT SESSIONS:

Tuesday, June 4

Wednesday, June 5

Thursday, June 6

BIRDS OF A FEATHER ROUNDTABLES (Check Agenda for Daily Timings):

  • How to Untangle the Data Integration Hairball

HANDS-ON LABS (Check Agenda for Daily Timings):

  • Table 13 – Data Virtualization for Agile BI / Data Services
  • Table 19 – Empowering Analyst Self-Service with Informatica Analyst
  • Table 41 – Informatica Data Replication
  • Table 44 – Data Integration Hub
  • Table 45 – B2B Data Transformation
  • Table 46 – B2B Data Exchange
  • Table 47 – RulePoint / Operational Intelligence Platform
  • Table 48 – Proactive Healthcare Decision Management

BOOTHS (Check Agenda for Daily Timings):

  • Operational Intelligence and Reporting
  • Real Time Data Integration
  • External Data for Analytics
  • Customer/Supplier Collaboration
  • Operational Synchronization

 

I look forward to seeing you at Informatica World 2013.

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Your Customized Informatica World 2013 Guide for Managing PowerCenter for Success

“We do nightly updates to our data warehouse, but we have no way to validate that the data was moved and transformed correctly in the time available. We only have time to test a subset and hope that it is the right subset.”

“We have tools to tell us about performance after an issue occurs, but nothing that helps us prevent the issue in the first place. So, we find out about failures from the end-users looking at a bad report. This causes delayed or poor business decision making, and also impacts our departments’ reputation.”

These are just a couple of quotes I have heard from data integration end users. We have been collecting similar information from thousands of our data integration customers around their challenges across the data integration lifecycle. What we are hearing is that the growth of data within organizations and ever increasing demand for more timely data has introduced a number of threats. In turn, these new demands have created massive variability in the way customers approach their projects, which introduces a host of data integration challenges, especially in production.

So naturally, organizations have taken a variety of approaches to combat these threats – ranging from adding full-time employee/contractor teams to test and monitor workflows to developing customized scripts or a combination of both. Ok – so there are monitoring tools out there. But, the fact remains that generic monitoring tools don’t uncover deep data integration issues. This was discussed at length here. Additionally, typical testing efforts such as “stare and compare” and hand-coding are manual, un-repeatable, and un-auditable as discussed here.

Now recall the point about added pressure of explosive data growth and increasing demands for timely delivery, and add to it the wide variability in how organizations approach projects – it’s scary. But what’s more concerning is that this variability riddles production environments with errors, inefficiencies, and security threats. Manual and reactive approaches to remedy the problem only exacerbate issues by increasing complexity. Hence the delays in identifying, monitoring and fixing issues, typically requiring fire drills, manual solutions and reactive measures, but not addressing problems.

If any of this sounds familiar to you, you may want to take advantage of what we are doing at Informatica World 2013 to help you address these challenges. To make things convenient for you, I have prepared a customized guide on relevant sessions, hands-on-labs and booths to help you understand how automated, repeatable and auditable testing, along-with a pre-emptive approach to diffusing threats before they erupt into full-blown issues, can help you. Please feel free to sign-up here for some of the breakout sessions we are hosting on this topic, or swing by one of the labs or booths:

BREAKOUT SESSIONS:

Tuesday, June 4

Wednesday, June 5

Thursday, June 6

BIRDS OF A FEATHER ROUNDTABLES (Check Agenda for Daily Timings):

  • Testing Strategies and Tools
  • Automating Administrative Maintenance Tasks

HANDS-ON LABS (Check Agenda for Daily Timings):

  • Table 42 – Informatica Data Validation
  • Table 43 – Informatica Proactive Monitoring

BOOTHS (Check Agenda for Daily Timings):

  • PowerCenter Developer Productivity and Production Manageability

 

I look forward to seeing you at Informatica World 2013.

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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

Does your Data Virtualization Solution Adapt To (Big) Data Problems

Late last year at a company all-hands meeting, the CEO of a large consumer electronics company had a serious mandate. He needed big results and fast.

“Competition is really heating up and customer churn is on the rise. I need visibility on-demand – a common view of all enterprise data or else we cannot continue to grow.”  IT teams across the enterprise have been scurrying and working furiously to create a common view of CUSTOMER, PRODUCT, SALES, and INVENTORY, but the results have been incomplete, inaccurate and too slow. This is no easy task. (more…)

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Posted in Big Data, Business Impact / Benefits, CIO, Customer Acquisition & Retention, Data Integration, Data Services, Data Warehousing, Informatica 9.1, Real-Time, SOA | Tagged , , , | Leave a comment

Next-Generation Data Virtualization Series Part 2 – Characteristics

So, where have I been since my last blog? Well, I have been working on our new Architect to Architect webinar series on data virtualization, which is very exciting for me as I get to rub shoulders (virtually speaking) with hundreds of industry architects.

The interactive nature and record attendance at these webinars have made one thing very clear – data virtualization is indeed top of mind. In my last blog we discussed the concept and how data virtualization is different or a superset of traditional data federation, especially as it overcomes many limitations of the latter. Wayne Eckerson did a great job at tracking the evolution of data federation in a recent webinar and blog. (more…)

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Posted in Data Integration Platform, Data Services, Data Warehousing, Enterprise Data Management, Integration Competency Centers, Real-Time, SOA | Tagged , , , , , , , , , , , | 1 Comment

Data Virtualization Series Part 1 – What is it?

We have all heard of data federation and of late we have also been hearing how simple, traditional data federation often gets passed off as data virtualization. Let’s get back to basics and take a hard look at what the real need is.

Data federation is not a new concept. When it first arrived on the scene many years ago, technologists got excited as it offered a way to quickly access numerous disparate data sources without physically moving data. Years passed and the term kept appearing in research paper after research paper – but what did not happen was the anticipated widespread adoption. TDWI’s Wayne Eckerson does a great job at tracking the evolution of data federation in his recent webinar and blog. Simple, traditional data federation does one thing and only one thing well – it creates a virtual view across heterogeneous data sources, delivering data in real-time, typically to reporting tools and composite applications. In its very simplicity lay its downfall.

(more…)

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The “Business” Needs Critical Data “Now” – We Need The Next Generation Data Federation Technology “Yesterday!”

There is a lot of talk about using data federation, Enterprise Information Integration (EII) or data virtualization to deliver new data to the business, on-demand. However, do existing approaches cut it?

I have been following the data integration space for many years now, and like many of you, I have wondered about the viability of data federation as a data integration approach. Not because it does not hold promise – it does – it has many advantages as a fast, flexible and low cost approach to integrate multiple and diverse data sources in real-time, without the need for physical data movement.

However, according to the numerous architects that I have had the pleasure of  meeting with on the Informatica 9 World Tour, simple or traditional data federation has not been able to live up to its immense promise. And why is that I asked – the reasons were many…

(more…)

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Posted in Business Impact / Benefits, Data Integration, Data Integration Platform, Data Services, Data Warehousing, Governance, Risk and Compliance, Healthcare, Operational Efficiency, Real-Time, SOA | Tagged , , , , , , | Leave a comment

Why is the New SOA Data Integration Architecture Group on a Roll?

Because there is real need! Period! Even after investing heavily in agile architecture approaches such as SOA, IT organizations are finding it extremely challenging to solve complex data integration issues.

If you are involved in defining or re-defining a data architecture to enable composite applications and portals to effectively leverage data in an SOA, here is where the discussions are happening.

If you are looking to enhance your existing data architecture to ensure that business intelligence reports can quickly leverage data that is not in your data warehouse, you will find your answers here.

(more…)

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Posted in Data Integration, Data Services, Data Warehousing, Enterprise Data Management, Integration Competency Centers, Real-Time, SOA | Tagged , , , | 1 Comment

Calling All Architects – Get Engaged in THE Most Important Discussion on Data Services and Data Integration

Do you believe that a solid and well thought through data architecture for efficiently accessing, integrating and processing data is foundational to maximizing business value? Do you want to hear from your peers in the industry, about how they are solving data integration challenges such as speeding-up time to delivery of data, data quality and infrastructure complexity?

If yes, would you like to join the discussion on a data architecture that can help composite applications and portals to efficiently leverage timely, trustworthy and relevant data in an SOA? Or, an architecture that can complement existing data architecture to ensure that business intelligence reports can quickly leverage data that is not in the data warehouse?

(more…)

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Posted in Business/IT Collaboration, Data Integration Platform, Data Services, Data Warehousing, Enterprise Data Management, Governance, Risk and Compliance, Integration Competency Centers, Master Data Management, Mergers and Acquisitions, Operational Efficiency, Real-Time, SOA, Vertical | Tagged , , , , , | 1 Comment