ELT Processing on Hadoop Will Boost Confidence in Big Data Quality

Posted by Amanda Dascalakis | August 16, 2013 | Blog

In my last blog I looked at big data governance and how it produces confidence in structured and multi-structured data that data scientists want to analyse. I would like to continue that theme in this blog by looking at what is happening in the area of Big Data governance in a little more detail. Over […]


Exploratory Analytics Vs Big Data Governance – Freedom Vs Control or Freedom with Confidence?

Posted by Amanda Dascalakis | August 9, 2013 | Blog

Exploratory analytics is at the heart of most Big Data projects. It involves loading data from multi-structured sources into ‘sandboxes’ for exploration and investigative analysis, often by skilled data scientists, with the intent on producing new insights. Data being loaded into these sandboxes may include structured, modelled data from existing OLTP systems, data warehouses and […]


Big Data – Relational Opens Its Mouth – Is It Going To Consume Hadoop?

Posted by Amanda Dascalakis | February 25, 2013 | Blog

Back in September last year, I presented at BiG Data London (the largest Big Data interest group in Europe), looking at multi-platform Big data analytics. In that session I looked at stand-alone platforms for analytical workloads and asked the question “Is it going to stay that way?’. Is it that Hadoop analytical workloads would remain separate […]


Getting Started With MDM

Posted by Amanda Dascalakis | January 23, 2013 | Blog

Below are answers to 4 key questions that often get asked when starting MDM projects.  Hope you find them useful. 1. What are the factors that trigger a company’s Master data management initiative? The need to improve processes The need to shift focus from product to customer orientation The need to get control of expenditure […]


Big Data Analytics – A Rapidly Emerging Market

Posted by Amanda Dascalakis | November 14, 2011 | Blog

Last week in London I spoke at the IRM Data Warehousing and Business Intelligence conference on a variety of topics. One of these was Big Data which I looked at in the context of analytical processing. There is no question the hype around this topic is reaching fever pitch so I thought I would try […]


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