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Latest Articles, Tutorials, Examples on PL/SQL

Big data

  1. Big Data: An emerging trend on IT sector.
    In this article, we are going to learn about big data, what is big data? Its challenges, software technology used etc?
  2. 20 Amazing Facts about Big Data.
    In this article, I will mention about 20 Amazing facts that we all should know about Big Data.
  3. Difference between BIG DATA ANALYTICS and DATA MINING, future scopes of BIG DATA.
    In this article, we are going to learn about big data analytics and data mining, future scopes of big data.
  4. How to get started with big data?
    In this article, we are going to learn about getting started with big data and Requisites for BIG DATA developer/engineer.
  5. 5 must-have skills required for big data.
    In this article, we are going to learn the 5 skills (Apache Hadoop, Sql and Nosql, Programming, Statistical and Quantitative Analysis, Creativity and Problem Solving Approach) that you must have to land on the ground of big data.
  6. PCY Algorithm in Big Data Analytics.
    In this article, I am going to discuss a very important algorithm in big data analytics i.e PCY algorithm used for the frequent itemset mining.
  7. Dimensions of Big Data.
    In this article, we will discuss about all the dimensions of big data, commonly known as Big V’s.
  8. Sources of Unstructured Big Data.
    In this article, we are going to learn about sources of unstructured big data: Machine generated unstructured data, Human generated unstructured data, Organizational generated unstructured data.
  9. Saving lives with Big Data
    In this article, we are going to learn about the saving lives with big data - how big data can help us, what makes this big data platform?
  10. 8 hats of data visualization design.
    Here, we are going to discuss about the 8 hats of the data visualization design.

Hadoop

  1. Introduction to Hadoop and its Physical Architecture.
    In this article, I have tried to explain Hadoop and its physical architecture in a very simplified way, so that even non-tech people can also understand it. We will basically discuss Hadoop, its components, its physical architecture and it’s working.
  2. Hadoop | Mapreduce’s Engine: Job Tracker and Task Tracker.
    In this article, we are going to learn about the Mapreduce’s Engine: Job Tracker and Task Tracker in Hadoop.




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