Recently, I came across with an interesting book on the statistics which has a narration of Ugly Duckling story and correlation of this story with today's DATA or rather BIG DATA ANALYTICS world. This story originally from famous storyteller Hans Christian Andersen
Story goes like this...
The duckling was a big ugly grey bird, so ugly that even a dog would not bite him. The poor duckling…
Added by Manish Bhoge on January 31, 2016 at 12:00pm — No Comments
I am Back ! Yes, I am back (on the track) on my learning track. Sometime, it is really necessary to take a break and introspect why do we learn, before learning. Ah ! it was 9 months safe refuge to learn how Big Data & Analytics can contribute to Data Product.
Data strategy has always been expected to be revenue generation. As Big data and Hadoop entering into the enterprise data strategy it is also expected from big data infrastructure to be revenue addition.…Continue
Added by Manish Bhoge on December 12, 2015 at 9:53am — No Comments
Both R & Python should be measured based on their effectiveness in advanced analytics & data science. Initially, as a new comer in data science field we spend good amount of time to understand the pros and cons of these two. I too carried out this study solely for “self” to decide which tool should i pick to get in depth of data science. Eventually, i have started realizing that both (R & Python) has its space of mastery along with their broad support to data science. Here some…Continue
The term "Data Science" has been evolving not only as a niche skill but as a niche process as well. It is interesting to study "how" the Big data analytics/Data Science/Analytics can be efficiently implemented into the enterprise. So, along with my typical study of analytics viz. Big data analytics I have been also exploring the methodologies to bring the term "Data Science" into mainstream of existing enterprise data analysis, which we conventionally know as "Datawarehouse & BI". This…Continue
Added by Manish Bhoge on December 12, 2013 at 7:30am — No Comments
Few days back i have attended a good webinar conducted by Metascale on topic “Are You Still Moving Data? Is ETL Still Relevant in the Era of Hadoop?” This post is targeting this webinar.
In summary, this webinar had nicely explained about how enterprise can use Hadoop as a data hub along with the existing Datawarehouse set up. “Hadoop as a Data Hub” this line itself raised lot of questions in my…Continue
Practicing Data science indeed a long term effort than a learning handful of skills. We ought to be academically good enough to take up this challenge. However, if you think you came a long way from your academic rebuilding, but you still have that zeal & passion to take the oil from the data and fill the skill gap of data science then here is the warm-up tips. Below points must exercised before jumping into…Continue
Added by Manish Bhoge on October 18, 2013 at 9:26am — No Comments
Text (word) analysis and tokenized text modeling always give a chill air around ears, specially when you are new to machine learning. Thanks to Python and its extended libraries for its warm support around text analytics and machine learning. Scikit-learn is a savior and excellent support in text processing when you also understand some of the concept like "Bag of word", "Clustering" and "vectorization". Vectorization is must-to-know technique for all machine leaning learners, text miner…Continue
Added by Manish Bhoge on September 25, 2013 at 9:47am — No Comments
Data analysis echo system has grown all the way from SQL's to NoSQL and from Excel analysis to Visualization. Today, we are in scarceness of the resources to process ALL (You better understand what i mean by ALL) kind of data that is coming to enterprise. Data goes through profiling, formatting, munging or cleansing, pruning, transformation steps to analytics and predictive modeling. Interestingly, there is no one tool proved to be an effective solution to run…Continue