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Refine Your Enterprise’s Approach to AI in 2019

2019 is the year to stop letting obstacles get in the way of enterprise AI adoption. Of course implementing AI tech comes with its challenges, but addressing two big obstacles may be the key to success.  According to our AI expert, practice director and chief strategist Christine Livingston, these obstacles are perception and data. And […]

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Responsibility of Data Architecture in Data Governance

The data architecture capability will supply the components and standards necessary to implement other capabilities coherently and enable them to work together. A primary responsibility of data architecture is to define and have an accepted enterprise-wide set of models, standards, glossaries and hierarchies which allow a standard description of data across business lines, products and […]

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Driving Better Decisions with Data Governance

The business capabilities presented in our new guide demonstrates how forward-thinking financial services companies are leveraging data governance to create value for the enterprise. Accurate and timely information continues to be a key driver of enabling better decision making. Capabilities such as data principles and strategy, data architecture, organizational roles, authoritative sources, data lineage, data […]

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6 Levels Of Data Architecture

“What’s new?” is an interesting and broadening eternal question, but one which, if pursued exclusively, results only in an endless parade of trivia and fashion, the silt of tomorrow. I would like, instead, to be concerned with the question “What is best?”, a question which cuts deeply rather than broadly, a question whose answers tend […]

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5 key roles of Data Architect in Information Management

  As architects, sometimes we get caught in the trap of focusing on the most tangible aspects of our architecture solving business problems, while losing track of the aspects that truly drive our architectural decisions. Information architecture serves as that vital bridge from the business applications to technology architecture (TOGAF Architecture Development Method). Although solutions […]

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#HIMSS16 Perspective: Interview with Martin Sizemore, CDO

Today’s #HIMSS16 Perspective is from Martin Sizemore (@MartinSizemore). Martin is the Chief Data Officer (CDO) at Wake Forest Baptist Medical Center in Winston-Salem, NC. The Chief Data Officer (CDO) is the visionary executive responsible for providing technical and strategic leadership for the enterprise Business Intelligence and Data Management program. The CDO chairs the enterprise Business […]

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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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Spark Gathers More Momentum

Yesterday, IBM threw its weight behind Spark. This announcement is significant because it is a leading indicator of a transition from IT-focused Big Data efforts to business-driven analytics and Big Data investments. If you are interested in learning more about this announcement and what it means in the bigger picture, I wrote a blog entry on our […]

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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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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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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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Disruptive Scalability

The personal computer, internet, digital music players (think ipods), smart phones, tablets are just a few of the disruptive technologies that have become common place in our lifetime.   What is consistent about these technology disruptions is that they all have changed the way we work, live, and play.  Whole industries have grown up around these technologies.   […]

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How to Maximize Your Return on Your Oracle In-Memory Investment

Bill Busch, Senior Solutions Architect at Perficient, recently wrote a blog post about Oracle’s In-Memory database option: Last month Oracle announced Oracle In-Memory database option. The overall message is that once installed, you can turn this “option” on and Oracle will become an in-memory database.   I do not think it will be that simple. However, […]

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Thoughts on Oracle Database In-Memory Option

Last month Oracle announced Oracle In-Memory database option. The overall message is that once installed, you can turn this “option” on and Oracle will become an in-memory database.   I do not think it will be that simple. However, I believe Oracle is on the correct track with this capability. There are two main messages with […]

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Evaluating In-Memory DBs

This month Oracle is releasing its new in-memory database.   Essentially, it is an option that leverages and extends the existing RDBMs code base.   Now with Microsoft’s recent entry all four the mega-vendors (IBM, SAP, Microsoft, and Oracle) have in-memory database products. Which one that is a best fit for a company will depend on a […]

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Big Data: Integral Part of an Information Architecture

Forrester recently released some research titled “Reset on Big Data” and this research highlighted the lag between IT’s understanding of Big Data’s role within the enterprise data ecosystem.   In short, business leaders were 40% less likely to cite Big Data’s role as an extension to the current the current analytical environment.  This is not surprising […]

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Risks Associated with Niche Big Data Vendors

One of the not so nice parts of the conference is seeing companies that have technology that have been superseded by the new releases of Hadoop, primarily Hive. One company, boasted about the fact it did not have to do full scans and could return SQL queries in seconds on large datasets. The look on […]

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Strategic thoughts when choosing new big data storage technology

Before 2000, primary challenges for companies were to enable the systems so that transactional data could be captured faster for organizational productivity, now gear is shifted towards delivery of information to the business users through reporting, analytical system and actionable drill down dashboard etc that organization have stored in files, data, audio and video stream etc on propriety clustered and […]

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