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Hadoop, Spark, Cassandra, Oh My!

Previously, I reviewed why Spark will not by itself replace Hadoop, but Spark combined with other data storage and resource management technologies creates other options for managing Big Data.  Today we will investigate how an enterprise should proceed in this new, “Hadoop is not the only option” world.  Hadoop, Spark, Cassandra, Oh My!  Open source Hadoop and […]

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Will Spark Replace Hadoop?

I have seen a number of articles asking the question of whether Apache Spark will replace Hadoop.   This is the wrong question!  It is like asking if your your DVD player will replace your entire home theater system, which is pretty absurd.  Just like a home theatre system has many components, a TV or Projector, a Receiver, […]

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Analytical Talent Gap

As new companies embark on the Digital Transformation leveraging Big Data, key concerns and challenges get amplified especially for the near term before the technology and talent pool supply adjusts to the demand. Looking at the  earlier post Big Data Challenges, the top 3 concerns were: Identifying the Business value/Monetizing the Big Data Setting up the […]

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IT (Operational) Vs. BT (Business Technology) Investments

IT spending is primarily focused on technologies to run the business primarily operations. With new ways of doing business, technology platforms decide the winners and losers. Typical brick and mortar versus online stores. If you look at the CIO’s budget, more than 70% goes to operational systems, infrastructure and keeping-the-lights-on-type-of applications, and the rest is […]

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Managing Data in the Digital Transformation Era

Managing data has been a challenge irrespective of the size of the company. Last couple of decades most of the companies invested in leveraging the Enterprise Data through variety of initiatives like Enterprise Data Warehouse and Business Intelligence. If we divide the enterprise information usage in the last 2 decades, primarily they fall into the […]

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Data Quality – Don’t Fix It If It Ain’t Broke

What is broke?  If I drive a pickup truck around that has a small, unobtrusive crack in the windshield and a few dings in the paint, it will still pull a boat and haul a bunch of lumber from Home Depot. Is the pickup broke if it still meets my needs? So, when is data […]

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Big Data, Big Confusion

  Everyone wants a piece of Big Data action whether you are part of Product Company, Solution provider, IT, or Business user. Like every new technology, Big Data is confusing, complex and intimidating. Though the idea is intriguing, the confusion begins when the techies start taking sides and tout the underlying tools rather than solution. […]

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The New Data Integration Paradigm

Data integration has changed.  The old way of extracting data, moving it to a new server, transforming it, and then loading into a new system for reporting and analytics is now looking quite arcane. It’s expensive, time consuming, and does not scale to handle the volumes we are now seeing in the digitally transformed enterprise. We […]

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Analytics in the Digital Transformation Era

Successful Enterprises compete on many capabilities ranging from product excellence, customer service and marketing to name a few. Increasingly the back office / Information Technology (IT) is becoming a strategic player in the Digital Business Model which supports these key capabilities. In other words back office/IT Capability itself is becoming a differentiator. All of the […]

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The Industrialization of Advanced Analytics

Gartner recently released its predictions on this topic in a report entitled, “Predicts 2015: A Step Change in the Industrialization of Advanced Analytics”. This has very interesting and important implications for all companies aspiring to become more of a digital business. The report states that failure to do so impacts mission-critical activities such as acquiring […]

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Strategic Trends for 2015

We are almost at the end of 2014. Time to check out the 2015 trends and compare with what has been the focus in 2014. Looking at the top 10 trends in Information Management, some things have changed and some have moved up or down the list. However, the same old challenges pretty much remain. […]

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Hadoop’s Ever-Increasing Role

With the advent of Splice Machine and the release of Hive 0.14 we are seeing Hadoop’s role in the data center continue to grow. Both of these technologies support limited transactions against data stored in HDFS. Now, I would not suggest moving your mission-critical ERP systems to Hive or Splice Machine, but the support of […]

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What is Your Big Data Strategy…?

Big Data is big deal. Every vendor has a strategy and a suite of products. Navigating the maze and picking the right Big Data platform and tools takes some level of planning and looking beyond techie’s dream product suite. Compounding the issue is the open source option vs. going with a vendor version of the […]

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Defining Big Data Prototypes – part 2

In part 1 of this series, we discussed some of the most common assumptions associated with Big Data Proof of Concept (POC) projects. Today, we’re going to begin exploring the next stage in Big Data POC definition – “The What.” The ‘What’ for Big Data has gotten much more complicated in recent years; and now […]

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Defining Big Data Prototypes – Part 1

It seems as though every large organization these days is either conducting a Big Data Proof of Concept (POC) or considering doing one. Now, there are serious questions as to whether this is even the correct path towards adoption of Big Data technologies, but of course for some potential adopters it may very well be the […]

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Three Big Data Business Case Mistakes

Tomorrow I will be giving a webinar on creating business cases for Big Data. One of the reasons for the webinar was that there is very little information available on creating a Big Data business cases. Most of what is available boils down to a “trust me, Big Data will be of value.” Most information […]

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It’s all about the data, the data…

When Apple jumped into the payment processing with ApplePay, I thought this would be a great leg up for Apple. But who will be the winner and who will be the loser? Granted the payment switches from the credit card to ApplePay which indirectly pays for the purchase, who cares as long as we can […]

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Qlik Makes Sense … the .Next Big Thing?

In my blog post about ‘Qlik Leadership’ – back in April – I pointed out how Qlik was going to reinvent itself and the BI market once again. A few months later Qlik Sense was released. Qlik Sense Desktop is a Windows-based desktop application, and I view it as Qlik’s first installment on the .Next […]

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The Chief Analytics Officer

One of the key points I make in our Executive Big Data Workshops is that effective use of Big Data analytics will require transforming both business and IT organizations.   Big Data with access to cross-functional data will transform the strategic processes within a company that guide long term and year to year investments. With the […]

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The Best Way to Limit the Value of Big Data

A few years back I worked for a client that was implementing cell level security on every data structure within their data warehouse. They had nearly 1,000 tables and 200,000 columns — yikes! Talking about administrative overhead. The logic was that data access should only be given on a need-to-know basis. The idea would be […]

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