How Mobile Enables Big Data

The four current biggest trends in IT are Social, Mobile, Cloud, and Big Data. In this post, I will discuss the intersection of Mobile and Big Data. Without going into too much detail, I’ll first review what Big Data is. The first aspect of Big Data is gathering and storing extreme volumes (often in petabytes) of data from databases, log files, social media, connected devices, external data marketplaces and internal systems. Data is “deep,” meaning it is transactional in nature and nothing is thrown away. Continue reading How Mobile Enables Big Data

Five Indispensable Best Practices for Communicating Your Data Governance Strategy

A comprehensive Data Governance strategy is the best way for an organization to ensure that its data is accessible, accurate, and secure. However, even the best Data Governance implementations can be derailed by misunderstandings and lack of buy-in. Continue reading Five Indispensable Best Practices for Communicating Your Data Governance Strategy

Data Warehouses, Analytic Databases and Hadoop – How are they different?

A number of people I have spoken to have a hard time differentiating between various solutions for traditional data warehousing and the upcoming big data solutions. At Knowledgent, we have a very simple way of looking at them.

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Top 10 questions for choosing the best SQL-on-Hadoop solution

More organizations are turning to Hadoop for their Big Data analytics needs, specifically storing and processing large datasets. Hadoop and its collection of components – HDFS, MapReduce, Pig, Hive, Zookeeper, etc. – provide a platform to store a large quantity of data and batch process this data for analysis. Continue reading Top 10 questions for choosing the best SQL-on-Hadoop solution

Introducing the New Knowledgent Blog

I’m very pleased to be writing our very first post for our brand new Knowledgent company blog.

Knowledgent is a company that helps organizations to maximize business results through data and analytics. As we’ve helped our clients at all phases of development, from innovation to data value realization, we’ve amassed a wealth of data-focused use cases and analytic insights.

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