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Data Management
- Porto Alegre, RS, Brazil
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00:17
(UTC -03:00) - https://www.linkedin.com/in/ronaldo-bernardi/
Stars
Converting a zeppelin notebook in single programming language to respective script
AWS Glue PySpark - Apache Hudi Quick Start Guide
Simulator for circuit-switched networks with anycast traffic written in Python (Opaque WDM with datacenters is a particular use case)
code for Data Science From Scratch book
A Power BI template that provides easy to understand, actionable flow metrics and predictive analytics for your agile teams using Azure DevOps, Azure DevOps Server and/or TFS.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Um repositório simples utilizado no curso de Git.
A Data Engineering & Machine Learning Knowledge Hub
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
The leader in Customer Data Infrastructure
💲 "awslocal" - Thin wrapper around the "aws" command line interface for use with LocalStack
This repository contains the notebooks and presentations we use for our Databricks Tech Talks
CMAK is a tool for managing Apache Kafka clusters
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
IPython Parallel: Interactive Parallel Computing in Python
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
An Amazon Athena driver for Metabase 0.32 and later
Terraform module to deploy an Apache Airflow cluster on AWS, backed by RDS PostgreSQL for metadata, S3 for logs and SQS as message broker with CeleryExecutor
Desafio para Engenheiro(a) de Dados - VAGAS.com
Ready-to-run Docker images containing Jupyter applications
An Open Source Machine Learning Framework for Everyone
Machine management for a container-centric world
Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database