Bigdata Simulation Library Of Dream By Sandman Books

Related tags

Data AnalysisSADMAN
Overview

BIGDATA SIMULATION LIBRARY OF DREAM BY SANDMAN BOOKS

=================

Solution Architecture

delta

Description


In the realm of Dreaming, its ruler SANDMAN, DREAM has a certain hobby; books. In his castle there is a Library in which they are kept, among other things, stories conceived by their authors but never written in our reality; Lucien, the person responsible for his organization, needs some help. Many people dream of published books, sales markets, stories that, in their reality, they would never imagine conceiving. And this voluminous data needs to be worked on. In order not to get lost in the information, Lucien receives all his dreams in a Non-Relational bank, MONGO. And he needs this to be organized in a relational way, that is, each author in his proper place. For that he pulled our dream and saw this Architecture where data arrives in MONGO undergo a transformation process in the STAGIN area and are populated in MYSQL. In its population, we split two final tables. One in its raw state, for complete queries, and another with metrics that informs the number of dreamers, their books and the total number of files. In this way, data is more organized, undergoing deduplication and consolidation processes.

Glossary of Data


Fields Type Description
_id long undescore ID
kind string type of book or text file
title string title of book
subtitle string subtitle of book
author array one or more authors who can dream of stories
publisher string publisher or not dreamed of by the author
publishedDate string year of published
edition string which edition does the book belong to
sample string sample of books
type string ISBN code
identifier string isbn identification number
pageCount integer number of pages
capCount integer number of chapters
wordCount integer number of words
categories string literary genre
original_price double original price
current_prefix string country currency prefix
current_sufix string country currency name
barcode string barcode
dreaming_date string the day you had the dream

image


delta

Start the Project


To run the project, you need to install the dependencies located in the "dependencies" folder and in the root of the project, run the shell_script "run_script.sh".

Sample of Payload MONGO


mongo

{
        "_id" : ObjectId("61b1fe6944dd42158674af31"),
        "kind" : "books#volume",
        "volumeInfo" : {
                "title" : "STORE VISIT",
                "Subtitle" : "GLASS IT HAIR MEMBER KEY ALMOST QUALITY. MARKET ALREADY AIR STILL ARTICLE. DECADE DECADE MEASURE PRESENT HUMAN MORNING. BIG BLOOD ECONOMIC FRONT SUCCESS AGO THEM. EVERY SON TROUBLE SIMPLE.",
                "author" : [
                        "PETER RODRIGUEZ",
                        "KELLY TORRES"
                ]
        },
        "publisher" : "FALL AWAY ABOUT INDEPENDENT",
        "publishedDate" : "1994",
        "edition" : "7º EDITION",
        "sample" : "...onto sport room audience. page dinner hundred. week statement should watch she even ball.\nour able tv break defense seek baby. employee last around music produce reach tv..",
        "industryIdentifiers" : [
                {
                        "type" : "ISBN_10",
                        "identifier" : "1-55027-208-X"
                },
                {
                        "type" : "ISBN_10",
                        "identifier" : "0-405-30324-6"
                }
        ],
        "pageCount" : 796,
        "wordCount" : 83331,
        "capCount" : 14,
        "categories" : [
                "NOVEL"
        ],
        "saleInfo" : {
                "original_price" : 78,
                "current_prefix" : "LAK",
                "current_sufix" : "Lao kip",
                "barcode" : "6747254889534"
        }
}

Sample of Payload in MYSQL


library

_id  |kind        |title                                                           |subtitle                                                                                                                                                                                                                                                       |author                                       |publisher                               |publishedDate|edition   |sample                                                                                                                                                                                                     |type   |identifier       |pageCount|wordCount|capCount|categories               |original_price|current_prefix|current_sufix              |barcode      |dreaming_date|
-----+------------+----------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------------------------------+----------------------------------------+-------------+----------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+-----------------+---------+---------+--------+-------------------------+--------------+--------------+---------------------------+-------------+-------------+
  670|csv#volume  |GOOD DETERMINE OF                                               |DON'T HAVE                                                                                                                                                                                                                                                     |KAREN ODOM                                   |DARK WAR INDEPENDENT                    |1982         |9º EDITION|...involve star apply later including truth. next while nor worry staff economic.¶condition region write college. return half offer. popular could direction above fish..                                  |ISBN_10|978-1-4340-7508-6|      479|    64333|      11|EPISTOLARY NOVEL         |          97.0|BHD           |Bahraini dinar             |3894426059691|     20211209|

resume

metric          |value|
----------------+-----+
Total of Dreamns|71395|
Total of Books  |59154|
Total of Data   |78000|
Owner
Maycon Cypriano
DATA ENGINEER | DATA SCIENCE | DATA PYTHON | DATA DRIVEN |
Maycon Cypriano
Using Python to scrape some basic player information from www.premierleague.com and then use Pandas to analyse said data.

PremiershipPlayerAnalysis Using Python to scrape some basic player information from www.premierleague.com and then use Pandas to analyse said data. No

5 Sep 06, 2021
Universal data analysis tools for atmospheric sciences

U_analysis Universal data analysis tools for atmospheric sciences Script written in python 3. This file defines multiple functions that can be used fo

Luis Ackermann 1 Oct 10, 2021
Mining the Stack Overflow Developer Survey

Mining the Stack Overflow Developer Survey A prototype data mining application to compare the accuracy of decision tree and random forest regression m

1 Nov 16, 2021
Python data processing, analysis, visualization, and data operations

Python This is a Python data processing, analysis, visualization and data operations of the source code warehouse, book ISBN: 9787115527592 Descriptio

FangWei 1 Jan 16, 2022
The repo for mlbtradetrees.com. Analyze any trade in baseball history!

The repo for mlbtradetrees.com. Analyze any trade in baseball history!

7 Nov 20, 2022
Reading streams of Twitter data, save them to Kafka, then process with Kafka Stream API and Spark Streaming

Using Streaming Twitter Data with Kafka and Spark Reading streams of Twitter data, publishing them to Kafka topic, process message using Kafka Stream

Rustam Zokirov 1 Dec 06, 2021
Bigdata Simulation Library Of Dream By Sandman Books

BIGDATA SIMULATION LIBRARY OF DREAM BY SANDMAN BOOKS ================= Solution Architecture Description In the realm of Dreaming, its ruler SANDMAN,

Maycon Cypriano 3 Jun 30, 2022
Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required)

Binomial Option Pricing Calculator Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required) Background A derivative is a fi

sammuhrai 1 Nov 29, 2021
Uses MIT/MEDSL, New York Times, and US Census datasources to analyze per-county COVID-19 deaths.

Covid County Executive summary Setup Install miniconda, then in the command line, run conda create -n covid-county conda activate covid-county conda i

Ahmed Fasih 1 Dec 22, 2021
Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

AWS Data Wrangler Pandas on AWS Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretMana

Amazon Web Services - Labs 3.3k Jan 04, 2023
A stock analysis app with streamlit

StockAnalysisApp A stock analysis app with streamlit. You select the ticker of the stock and the app makes a series of analysis by using the price cha

Antonio Catalano 50 Nov 27, 2022
Elementary is an open-source data reliability framework for modern data teams. The first module of the framework is data lineage.

Data lineage made simple, reliable, and automated. Effortlessly track the flow of data, understand dependencies and analyze impact. Features Visualiza

898 Jan 09, 2023
OpenDrift is a software for modeling the trajectories and fate of objects or substances drifting in the ocean, or even in the atmosphere.

opendrift OpenDrift is a software for modeling the trajectories and fate of objects or substances drifting in the ocean, or even in the atmosphere. Do

OpenDrift 167 Dec 13, 2022
Elasticsearch tool for easily collecting and batch inserting Python data and pandas DataFrames

ElasticBatch Elasticsearch buffer for collecting and batch inserting Python data and pandas DataFrames Overview ElasticBatch makes it easy to efficien

Dan Kaslovsky 21 Mar 16, 2022
Exploring the Top ML and DL GitHub Repositories

This repository contains my work related to my project where I scraped data on the most popular machine learning and deep learning GitHub repositories in order to further visualize and analyze it.

Nico Van den Hooff 17 Aug 21, 2022
Powerful, efficient particle trajectory analysis in scientific Python.

freud Overview The freud Python library provides a simple, flexible, powerful set of tools for analyzing trajectories obtained from molecular dynamics

Glotzer Group 195 Dec 20, 2022
A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

This tutorial's purpose is to introduce Pythonistas to methods for scaling their data science and machine learning work to larger datasets and larger models, using the tools and APIs they know and lo

Coiled 102 Nov 10, 2022
ASOUL直播间弹幕抓取&&数据分析

ASOUL直播间弹幕抓取&&数据分析(更新中) 这些文件用于爬取ASOUL直播间的弹幕(其他直播间也可以)和其他信息,以及简单的数据分析生成。

159 Dec 10, 2022
Parses data out of your Google Takeout (History, Activity, Youtube, Locations, etc...)

google_takeout_parser parses both the Historical HTML and new JSON format for Google Takeouts caches individual takeout results behind cachew merge mu

Sean Breckenridge 27 Dec 28, 2022
Python utility to extract differences between two pandas dataframes.

Python utility to extract differences between two pandas dataframes.

Jaime Valero 8 Jan 07, 2023