A flexible and powerful SQL string builder library plus a zero-config ORM.
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Updated
May 26, 2024 - Go
A flexible and powerful SQL string builder library plus a zero-config ORM.
Implement a Hive data warehouse to store meaningful data, apply Machine Learning like Clustering or Regression for dealing with business problems
SImple Note App, using Hive and Flutter
Uses tokenized query returned by python-sqlparse and generates query metadata
The repository showcases a series of exercises and projects focused on big data processing using Hadoop, HBase, Hive, and Spark with Python. Hosted on AWS EMR, these projects demonstrate efficient data handling and processing techniques, leveraging the power of cloud computing to tackle complex data challenges.
A simple note taking app with Material you theming. All your notes will be backed up by firebase also stored in offline. Notes stored are Encrypted by default.
Performed Analytics on covid data from ECDC website utilizing Azure capabilities - ADF, Databricks, HDInsights
SQL languages for monaco-editor
The objective of this project is to build a data pipeline to show and analyse the results in PowerBI from the MovieLens 25M database, using Hive and Python.
Hive & Spark SQL extension for Visual Studio Code
Created a simple web app which gives users a summary of the types of 311 requests in their Chicago neighborhood, built with Lambda Architecture principles using Apache's tech stack
Built a data pipeline by creating tables in MySQL DB, ingested tables to Hadoop for data warehousing and built HiveQL views. Hive views in Linux VM were connected to Power BI application in Windows to create visualizations.
Lecture: Big Data
This project demonstrates the process of extracting data from a MySQL database, transferring it using Apache Sqoop, storing it in Hive Data warehouse (the data actually is store in Hadoop Distributed File System (HDFS)), and performing analysis using Hive Query Language (Hive QL) (it is a language close to SQL). Then visualize the data in Power BI,
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