The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
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Updated
Jun 27, 2024 - HTML
The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
Automated Tool for Optimized Modelling
Streaming data changes to a Data Lake with Debezium and Delta Lake pipeline
Apply Data Engineering to Personal Finance
A data-pipeline for high-resolution power meter data
UC Davis Distributed Computing with Spark SQL (with Databricks) and Databricks Apache Spark SQL for Data Analysts
As a Data Engineer for a fictional E-commerce startup, this project addresses the task of analyzing the web server logs to find the number of product pages visited and the number of items in the cart.
This is the sentiment analysis on the #VisitRwanda on twitter, this is a campaign of eco tourism in Rwanda that promotes touristic places attraction in Rwanda.
Data science and Spark applied to 7 hypotheses regarding the DJIA stock ticker and daily news.
A comprehensive repository housing a collection of insightful blog posts, in-depth documentation, and resources exploring various facets of data engineering. From ETL processes and database management to orchestration tools, data quality, monitoring, and deployment strategies
A data-pipeline for high-resolution power meter data
Collect & stream data, notify user on Telegram
Developed a deep learning model utilizing TensorFlow to automate the classification of financial documents. Leveraging a Bidirectional LSTM RNN, we accurately categorize the documents. Our user-friendly Streamlit application ensures high accuracy & efficiency in document management, all deployed on the Hugging Face platform for seamless integration
Neste projeto de Análise de Recursos Humanos, temos como objetivo responder questões-chave sobre gestão de talentos e rotatividade de colaboradores em uma empresa fictícia.
Bringing you the posts that matter.
Speed comparisons for dataframe libraries
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