Monthly Archives: July 2014

Data preparation – Cloud or not to cloud

Both from a consumer and a producer perspective the decision to go cloud or not is an important and sometimes  one. The following are some points to consider when making the decision. Data locality – Where is the majority of … Continue reading

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Data Preparation – Make or Buy Decision

Make or Buy decision is always in the minds of the executives in any product or services areas especially when working on cutting edge products.  The key question I always ask is what is the core-competency  of the Organization – … Continue reading

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Data preparation sub-systems for Big Data

In this blog I will discuss some of the key tasks related to data preparation for Big Data. This is a general list of sub-systems that apply when doing data preparation hence not all the tasks listed will apply in all … Continue reading

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Data Preparation for Big Data

A key aspect of successfully implementing analytics for Big Data is Data Preparation.  In this post I will examine the some of the important differences between preparing data for Big Data and for structured data.  In both the scnearios data preparation … Continue reading

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Business Intelligence in the era of Big Data

Businesses have typically relied  on their highly structured transnational data to gain insights about their business and make decisions For example answering questions such as how many customers bought a particular product in third quarter in the APAC region. Using this … Continue reading

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Is your data consistent across the enterprise ?

In today’s complex IT environment, maintaining data consistency across distributed copies of data is challenging and the possibility of data discrepancy is an unfortunate reality. If not discovered and addressed, bad data can lead to incorrect decision-making; failed service-level agreements; … Continue reading

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Data management in the era of Big Data

I have spent  number of years working on platforms and framework  related to data management, data warehousing and  business intelligence.  Using these technologies enabled businesses develop and implement strategies for an effective data management and data analytics, particularly relational data. Data … Continue reading

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