Big-Data-Analytics-on-Stocks-Data

Enhanced profitability and research of stocks historical data using distributed system analytics.

Tools:

SQL, Hadoop, Hive, HBase, PySpark, SparkSQL, Sqoop, Excel, Python, Tableau, Snowflake

Creating pipelines for transferring data from source(RDBMS) to sink(HDFS)
Analysis of different stocks (batch processing and online processing)
Using Hive, PySpark batch processing and for online processing HBase, Kafka for transferring and analysing.
Transferring output data to client(RDBMS) using SQOOP
Using Tableau generating reports for easy and best decision making

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
Data files		Data files
README.md		README.md
Spark Project.ipynb		Spark Project.ipynb
Walmart Stock Analysis Report.pdf		Walmart Stock Analysis Report.pdf
project presentation.pptx		project presentation.pptx