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Big Data Analytics |Big Data Analytics - While collection and analysis on big data hold great promise, quantity doesn't always translate to quality.
http://www.bigdatanalysis.com/
Big Data Analytics - While collection and analysis on big data hold great promise, quantity doesn't always translate to quality.
http://www.bigdatanalysis.com/
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Big Data Analytics | | bigdatanalysis.com Reviews
https://bigdatanalysis.com
Big Data Analytics - While collection and analysis on big data hold great promise, quantity doesn't always translate to quality.
bigdatanalysis.com
Artificial Intelligence speaks its mind | Big Data Analytics
http://www.bigdatanalysis.com/artificial-intelligence-speaks-its-mind
When Artificial Intelligence speaks “its” mind! Here is interesting story about technology going haywire. And, one technology that we should all worry (as rightly suggested by Hollywood's bad scripts) is Artificial Intelligence. And, i agree - this could be much worse than Google’s self-driving car going off the road into the tree. Or, should conversation be more about us, the humans? And, is in it unfair and misleading to blame piece of code? Their little girl chatbot was just like many of us humans, bo...
Large Data is getting exponentially bigger! | Big Data Analytics
http://www.bigdatanalysis.com/big-data-is-getting-exponentially-bigger
Large Data is getting exponentially bigger! It has become pattern that amount of data has been doubling every 3 years. According to Cisco forecast this year will mark passing of 1 zettabyte traffic threshold of IP traffic. By 2020, amount of data will grow to 35 trillion gigabytes - or near 50-fold. Compare that to less than million petabytes in 2010. And all that in era of economic slowdown worldwide! Written by Goran Dragosavac. View all posts by: Goran Dragosavac. Click here to cancel reply.
Skills Transfer | Big Data Analytics
http://www.bigdatanalysis.com/skills-transfer
Based on my experience as successful analytical practitioner I have put together following skill transfer modules:. MODULE1: DATA SCIENCE CLASS AND MENTORSHIP PROGRAM. To field of data science. Overview of basic principles of knowledge deduction and induction from the data. Overview of Data Science. Overview of Analytical Science. High level overview of 5 pillars of knowledge. Knowledge Pillar 1 methodologies and best practices. Best and Worst of data science practices. Knowledge Pillar 2 Data Engineering.
Importance of knowing the odds! | Big Data Analytics
http://www.bigdatanalysis.com/importance-of-knowing-the-odds
Importance of knowing the odds! Scientific study of probability is relatively new development, dating from 16th century, and mathematicians such as Cardano, Huygens and Pascal were the first to develop mathematics of probability as science of knowing what are the odds of specific event happening. To be able to estimate likelihood of an even that could hurt us or benefit us - it is vital mechanism to our development and survival as species. In fact we are born with it - it is called human brain! Can we ev...
Big data - proceed with caution! | Big Data Analytics
http://www.bigdatanalysis.com/big-data-proceed-with-caution
Big data – proceed with caution! While collection and analysis on big data hold great promise, quantity doesn't always translate to quality. Quantity of data is represented by the number of records and the number of variables, and one can argue that good old statistical sampling techniques are still relevant. If variability is captured with a random sample, there will be very little incremental benefit, if any, of doing analysis on all rows. And what makes it more challenging is that big data is characte...
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Big Data Montreal
Skip to primary content. Skip to secondary content. Qu’est-ce que le Big Data? Big Data Montréal #51. February 8, 2017. Register here: https:/ www.meetup.com/fr-FR/Big-Data-Montreal/events/237551533. Big Data Montreal would like to invite you to its 51st meeting! Join us on Monday. February 13th 2017 at 18h00 to attend a conference, as well as to network with other Big Data enthusiasts from Montreal! The meeting will take place at the Crew Collective and Cafe. 360 rue St. Jacques, Montréal, QC. Reduce th...
Big Data Montreal
Skip to primary content. Skip to secondary content. Qu’est-ce que le Big Data? Big Data Montréal #51. February 8, 2017. Register here: https:/ www.meetup.com/fr-FR/Big-Data-Montreal/events/237551533. Big Data Montreal would like to invite you to its 51st meeting! Join us on Monday. February 13th 2017 at 18h00 to attend a conference, as well as to network with other Big Data enthusiasts from Montreal! The meeting will take place at the Crew Collective and Cafe. 360 rue St. Jacques, Montréal, QC. Reduce th...
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Musings of an accidental Hadooper
Musings of an accidental Hadooper. Writing a Custom SerDe. August 20, 2014. June 12, 2015. The best argument that you can make in favor of Hive is its simplicity and ease of use. It is so much easier to use as compared to writing your own MapReduce programs. Hundreds of lines of MapReduce could could be written with a few lines of SQL(HiveQL). Hive puts a layer of abstraction on […]. Hive – Custom UDTF. July 28, 2014. June 15, 2015. Hive UDF (Generic UDF). July 22, 2014. June 15, 2015. June 13, 2014.
Big Data Analytics |
When Artificial Intelligence speaks “its” mind! Here is interesting story about technology going haywire. And, one. Big data – proceed with caution! While collection and analysis on big data hold great promise,. Tennis is not as squeaky clean as we thought! In terms of match fixing cricket has been sport of. How to choose analytical projects? Even though terms like "big data" and "data scientists" are. Unexpected use of analytics! While most common applications of analytics have been in database. The tel...
bigdatanalytics.com
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Deriving insights from Data | My tryst with Big Data Analytics!
Deriving insights from Data. My tryst with Big Data Analytics! Deriving insights from Data The R ight way. October 2, 2013. Once remarked Find me something interesting in my data is a question from hell . A lot of literature is being published today about Big Data and Predictive analytics. In this mad rush of finding insights from data, many times organization forget the basic paradigm Analysis should be guided by business goals . Huh, enough of Gyan! Let me walk the talk. If so clean the data. Given the...
Bigdata Apache Hadoop
The Hadoop platform was designed to solve problems where there is a lot of data –complex and structured. It helps to run analytics that are deep and have extensive computation, like clustering and targeting, which cannot be handled by a database engine. As Hadoop becomes the predominant platform for data management and analytics, the demand for expert developers is also on the rise. What is Big Data. Dimensions of Big Data. Big Data in Advertising. Big Data in Banking. Big Data in Telecom. Learn how to l...
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