I want to get enlightened on the procedure, pros-cons of using Spark Apache programming platform for business data analysis.
Hi manalia
Spark is you for analysis large data fast and it have sql spark more easy to use than standard sql and it's used with hadoop
It can be used with tables and streamig data and graph also it's simple to transfer data into data frame to work with it and show table scheme
This link will be helpful for you
http://spark.apache.org
Apache Spark is a framework for distributed computing. A typical Spark program may run in parallel on many systems in a cluster. More information about spark can be collected from its home page http://spark.apache.org
Business Analytics need a platform that allow the vendors and customers to leverage the skill sets and other resources they already have.
The fundamental advantage of Spark is that up-to now not even a single processing framework fits all the aforementioned tasks. The advantages of using spark f are mentioned on the following link.
http://www.infoworld.com/article/2897287/big-data/5-reasons-to-turn-to-spark-for-big-data-analytics.html
Yes I have been using Apache Spark since a long time. If you need any help regarding Apache Spark you refer this link to all the Apache Spark free tutorials https://data-flair.training/blogs/category/spark/ ...
Hi All,
I am using Apache Spark in my own use cases, and it does a great job!
Recently I prepared a free tutorial about Predictive Data Analytics With Apache Spark. You can find it in the following links:
1. Introduction http://www.data-automaton.com/2019/01/03/predictive-data-analytics-with-apache-spark-part-1-introduction/
2. Data Preparation http://www.data-automaton.com/2019/01/04/predictive-data-analytics-with-apache-spark-part-2-data-preparation/
3. Feature Engineering http://www.data-automaton.com/2019/01/08/predictive-data-analytics-with-apache-spark-part-3-feature-engineering/
4. Dimensionality Reduction http://www.data-automaton.com/2019/01/10/predictive-data-analytics-with-apache-spark-part-4-principal-component-analysis/
5. Regression Analysis http://www.data-automaton.com/2019/01/15/predictive-data-analytics-with-apache-spark-part-5-regression-analysis/
6. Binary Classification http://www.data-automaton.com/2019/01/20/predictive-data-analytics-with-apache-spark-part-6-binary-classification/
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