Name: javier ramírez
Type: User
Company: https://questdb.io
Bio: Developer Advocate at QuestDB and all around happy person. Fan of open source, tech communities, and data/ML. Ex-AWS, Ex Google Developer Expert. He/him
Twitter: supercoco9
Location: Madrid, Spain
Blog: http://javier-ramirez.com
javier ramírez's Projects
Developer story and public cv synchronised via manfred
The open source version of the Amazon DynamoDB docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.
Sample Apache Flink application that can be deployed to Kinesis Analytics for Java. It reads taxi events from a Kinesis data stream, processes and aggregates them, and ingests the result to an Amazon Elasticsearch Service cluster for visualization with Kibana.
Example Java applications for Kinesis Data Analytics, demonstrating sources, sinks, and operators.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Amplify demo. Heavily inspired (ahem) by mavi888 repo with the same name
Repo for Amplify iOS Workshop created for re:Invent 2019
Artificial Neural Network on Churn Modeling Dataset, built from scratch using Keras in Python. This Helps a bank to predict whether a particular customer would be leaving the bank in the future or not(Binary Classification)
This project contains FIS experiment templates and supporting files that you can deploy with the AWS CLI. These are demos 'Getting started with AWS Fault Injection Simulator' talk.
A Personalized 'Shop-by-Style' Experience via PyTorch on Amazon SageMaker and Amazon Neptune
Apache Beam
Automatically exported from code.google.com/p/bigquery-e2e
QR Badge Scanner for conferences
Ruby/JS GUI and Binding framework for Titanium
This is a demo of a data pipeline that collects real time ETH data from coincap's API and stores it in questDB through Kafka
sitio web con hugo para la serie comentando-con-la-comunidad
The Data Engineering Cookbook
Async Model and Controller layers
Cryptocurrency Exchange Websocket Data Feed Handler
Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.
Just some scripts to play with event deduplication and QuestDB
InfluxData Documentation that covers InfluxDB Cloud, InfluxDB OSS 2.x, InfluxDB OSS 1.x, InfluxDB Enterprise, Telegraf, Chronograf, Kapacitor, and Flux.
DuckDB-Web - Source code of duckdb.org
Demo for basic embedded (JAVA) QuestDB functionality
Analysis examples based on the ISB-CGC hosted TCGA data, using Python and IPython Notebooks.
Call for Papers for the "Fast and Streaming Data" DevRoom at FOSDEM 2023