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Introduction to Big Data Computing and
Analysis
Los Angeles City Procurement Data Analysis
Guide: Dr. Jongwook Woo
Submitted by: Akash Gandhi
Akshay Ahirrao
Hitesh Jagtap
Priyal Mistry
Table of Contents
• Overview of Project
• Big Data Life Cycle
• What is Apache Spark?
• Flowchart
• System Specifications
• Databricks
• Spark QL Queries and Visualization
• Conclusion
• References
• The act of obtaining or buying goods or services
• Dataset contains the procurement information for the city of Los
Angeles
• The dataset size is 2GB. Used 580 MB for processing.
• This analysis will help us in determining the expenses for the city in
terms of year, department and item.
Overview of Project
Big Data Life Cycle
• Fast and general cluster computing system, interoperable with
Hadoop.
• Advantages
- Improve efficiency through in-memory computing primitives
- Improves usability through rich APIs in Scala, Java and Python
What is Apache Spark?
Flow Chart
Databricks Cluster
Cluster size: 6 GB
No. of Cores: 0.88 cores
No. of nodes: 5
Spark 1.6.1
Advantages of Databricks
• Cluster creation is quick.
• Easy to terminate/ detach/ restart the cluster.
• Can configure python code in SQL notebook.
Loading Data to Table
Query
To determine the Transaction count and Expenses Year-wise
Visualization
Query
To determine the no. of transactions and amount spent Date-wise
Visualization
Visualization
Query
To determine the Expenses Department wise.
Visualization
Query
To find the expenditure on ‘General Services’
Visualization
Visualization
Query
Average amount spent on procurement items
Visualization
Query
To determine the Quantity of each Item supplied by Alhambra
Visualization
Query
To determine the Highest Selling City in terms of Item Count and
Cost
Visualization
Visualization
Visualization
Conclusion
Conclusion
• Transportation cost(Time and Money) for importing from distant cities
• If the plants are built around LA, we will save on transportation cost
and thus increase employment opportunities
References
• https://controllerdata.lacity.org/Purchasing/LA-Procurement/xxkt-eu4z
• https://community.cloud.databricks.com
• https://spark.apache.org/docs/1.3.0/sql-programming-guide.html
• GitHub : https://github.com/akashgandhi10/cis528.git
Thank You

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