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Cassandra NoSQL Data Modeling Snip-pet

Data modeling in Cassandra is a little tricky and requires a combination of science and art.  Think of the Cassandra column family as a map of a map: an outer map keyed by a row key, and an inner map keyed by a column key. Both maps are sorted. To maximize Cassandra’s capabilities and for long […]

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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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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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Think Better Business Intelligence

by jDevaun.Photography Everyone is guilty of falling into a rut and building reports the same way over and over again. This year, don’t just churn out the same old reports, resolve to deliver better business intelligence. Think about what business intelligence means. Resolve, at least in your world, to make business intelligence about helping organizations […]

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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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Bootstrapping Data Governance – Part I

A lot has been said and written about Data Governance (DG) and the importance of having one. However it is still a mystery for many companies to create an effective DG. Based on our experience majority of the companies in their early stages of DG fall into one of these areas: Had too many false […]

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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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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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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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One Cluster To Rule Them All!

In the Hadoop space we have a number of terms for the Hadoop File System used for data management. Data Lake is probably the most popular. I have heard it called a Data Refinery as well as some other not so mentionable names. The one that has stuck with me has been is the Data […]

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The Modern Data Warehouse Will Augment Hadoop

The data warehouse has been a part of the EIM vernacular for nearly 20 years. The vision of the single source of the truth and a single repository for reporting and analysis are two objectives that have resulted in a never-ending journey.   The data warehouse never has had enough data and the quality required for […]

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Realizing Agile Data Management …

Years of work went into building the elusive single version of truth. Despite all the attempts from IT and business, Excel reporting and Access databases were impossible to eliminate. Excel is the number one BI tool in the industry and for the following good reasons : accessibility to the tool, speed and familiarity. Almost all […]

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DevOps Considerations for Big Data

Big Data is on everyone’s mind these days. Creating an analytical environment involving Big Data technologies is exciting and complex. New technology, new ways of looking at the data which is otherwise remained dark or not available. The exciting part of implementing the Big Data solution is to make it a production ready solution. Once […]

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Virtualization – THE WHY?

  The speed in which we receive information from multiple devices and the ever-changing customer interactions providing new ways of customer experience, creates DATA! Any company that knows how to harness the data and produce actionable information is going to make a big difference to their bottom line. So Why Virtualization? The simple answer is […]

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Cloud BI use cases

Cloud BI comes in different forms and shapes, ranging from just visualization to full-blown EDW combined with visualization and Predictive Analytics. The truth of the matter is every niche product vendor offers some unique feature which other product suite does not offer. In most case you almost always need more than one suite of BI […]

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Governing the Cloud Analytics…

The new trend in the Analytics world, Cloud Analytics is slowly becoming a norm. Except for the Cloud tag, companies have used Cloud or External Analytics for a long time. Historically Campaign Management has been part outsourced, part managed by Marketing, using external data besides ‘Enterprise Data’. Traditional Data Vendors / Credit Score providers like […]

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