data_analytics
€30-250 EUR
Pagado a la entrega
You are required to identify and carry out a series of analyses (i.e., at least two) of a large
dataset (or a collection of large datasets) utilising appropriate programming languages and
programming environments. Your project must incorporate the following elements:
1. Utilisation of a MapReduce environment for some part of the analysis
2. Source dataset(s) should be stored in appropriate database(s) prior to processing by
MapReduce
3. Post-MapReduce processing dataset(s) should be stored in appropriate database(s)
4. Programmatically accessing the MapReduce source data
5. Programmatically storing the MapReduce output data
6. Follow-up analysis on the MapReduce output data
For example, you may initially utilise MySQL to store a dataset and then your
MapReduce processing would utilise the MySQL database as an input source. After
processing the data through MapReduce you may then store the data in HBase or
MongoDB.
Following that you may use Python/NumPy/Pandas/Matplotlib or R/ggplot/plotly to
conduct further analysis of the MapReduce output data (e.g., statistical analysis),
and generate data visualisation plots for better presentation of results.
Nº del proyecto: #16699456
Sobre el proyecto
8 freelancers están ofertando un promedio de €242 por este trabajo
Hello There, I'm Interested , And I'd Like To Know The Details About This Project . Feel Free To Contact .
Hi there..... Warm Greetings We came along with your request for data_analytics and we reviewed your project description. We'd like to help you with confidence and satisfying results... We have professionals w Más
Hello! I am a python developer. I looked at your project and it seems interesting. I have good experience in python and I am an expert in it. I have all necessary skills required to be a good developer. I am interested Más
Hi I have total 7.5 years of experience in Java/J2EE and BIGDATA development. Last 3.5+ years working in BIGDATA/Hadoop/Spark related projects I have worked 2 analytics projects,which has successfully completed. Now Más
