This is one that slipped under my radar when it happened – back in August. Christian Prokopp, a Principal Consultant here at Big Data Partnership, was in Bangladesh on holiday, and he took the opportunity to hook up with some local Big Data activists. He quickly found a host of local enthusiasts: academics, entrepreneurs, data scientists and just…
Category Archive for: Technology
MapR recently invited BigDataPartnership’s Christian Prokopp to blog about the 6 steps to big data success. It makes interesting reading, and focuses on the business and not just the technology – which is merely the means to delivering value to the business.
The BigStep bloggers added a new entry to their Expert Interviews when they talked to Big Data Partnership Principal Consultant, Christian Prokopp. You can read what Christian shared about Hadoop, Big Data adoption challenges, alternative and future trends here: http://blog.bigstep.com/expert-interviews/expert-interview-christian-prokopp/
After dinner at a company weekend trip, I walked into the hotel bar and saw one of my colleagues pouring wine from a crystal decanter. Curiosity and my thirst drew me to ask about the wine. My colleague told me it was an expensive blend of syrah and grenache from the Languedoc region in the…
(This is the second part of the post – How to analyse your customer social profile in 24 hours – Data and Collection) Community Level After collecting the data as described in the previous post, we can look into the data and visualize some aspects of it. There are many questions we can ask of this data,…
Social profiles tell us a lot about the interest of its owner and also about people/organisations they follow and people who are following them. This blog post is a summary of what information you can get by collecting and analysing your customer profiles in 24 hours. In fact, after unlocking of the data, this process…
With the increasing popularity and the addiction of companies towards Hadoop, also Hadoop being an unanimous solution for Big data platforms makes the Hadoop development team to focus on the current architectural deficiencies and make Hadoop free from such underlying architectural issues. In that path a new Hadoop MapReduce version has taken birth MapReduce 2.0…
Joins:- ======= Joins is one of the interesting features available in MapReduce. Joins performed by Mapper are called as Map-side Joins. Joins performed by Reducer can be treated as Reduce-side joins. Frameworks like Pig, Hive, or Cascading has support for performing joins. Before diving into the implementation let us understand the problem throughly. If we…
Bloom Filter A Bloom filter is a space-efficient probabilistic data structure that is used to efficiently encode sets and perform set membership tests, whether an element is a member of a set. False positives are possible, but false negatives are strictly not possible. i.e. a query returns either “inside set (may be wrong)�? or “definitely…
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