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Come catturare le scie luminose prodotte dai dati con SingleStore

Come catturare le scie luminose prodotte dai dati con SingleStore

Prima o poi tutti i fotografi si cimentano nell’immortalare scie luminose sfruttando le luci di auto o altre fonti artificiali nella notte…
Go to the profile of Pietro La Torre
Pietro La Torre
Designing Serverless Web Applications with Amazon Web Services

Designing Serverless Web Applications with Amazon Web Services

How to design serverless Web Apps by comparing the pros and cons of serverless architectures and which AWS services can be used
Go to the profile of Stefano Stasuzzo
Stefano Stasuzzo
Solution for Cloud & Application Maintenance, Quantyca I&O

Solution for Cloud & Application Maintenance, Quantyca I&O

QUANTYCA — INFRASTRUCTURE & OPERATIONS TEAM
Go to the profile of Lorenzo Verardo
Lorenzo Verardo
Cloud infrastructures and workflows automation: a perfect marriage

Cloud infrastructures and workflows automation: a perfect marriage

A brief description of a solution to cloud infrastructure management through an automated pipeline.
Go to the profile of Federico Sala
Federico Sala
A Bird’s Eye View on GraphQL and AWS AppSync

A Bird’s Eye View on GraphQL and AWS AppSync

Software engineers must pick the right API technology. GraphQL and AWS AppSync are game-changers for rich data-intensive applications.
Go to the profile of Giulia Busnelli
Giulia Busnelli
Govern your data: it’s a tough job, but someone has to do it!

Govern your data: it’s a tough job, but someone has to do it!

Data Governance: why it cares and how Quantyca approaches it with an iterative process
Go to the profile of Daniele Uboldi
Daniele Uboldi
A gentle introduction to Time Series

A gentle introduction to Time Series

ARIMA and Prophet starter kit
Go to the profile of Roberta Pollastro
Roberta Pollastro
PyTorch tips and tricks: from tensors to Neural Networks

PyTorch tips and tricks: from tensors to Neural Networks

A deep dive into PyTorch and how to build Neural Networks from scratch.
Go to the profile of Giorgio Pilotti
Giorgio Pilotti
SaltStack Conference 2019 Recap

SaltStack Conference 2019 Recap

A brief SaltConf19 recap
Go to the profile of Giandomenico Avelluto
Giandomenico Avelluto
Oversampling and Undersampling: ADASYN vs ENN

Oversampling and Undersampling: ADASYN vs ENN

How to improve Machine Learning model performance over imbalanced datasets.
Go to the profile of Giorgio Pilotti
Giorgio Pilotti
How to handle Class Imbalance Problem

How to handle Class Imbalance Problem

Some tips and machine learning methods to deal with imbalanced dataset
Go to the profile of Roberta Pollastro
Roberta Pollastro
Removing SQL from your Spring Boot code

Removing SQL from your Spring Boot code

Some tips on dealing with static metadata, composing type-safe queries and how to handle custom query hints.
Go to the profile of Jacopo Aliprandi
Jacopo Aliprandi
Gradient Descent in deep learning

Gradient Descent in deep learning

A mountain perspective
Go to the profile of Fabio Moretti
Fabio Moretti
Reviving an e-commerce search engine using Elasticsearch

Reviving an e-commerce search engine using Elasticsearch

Appropriately designing the search function for an e-commerce site is essential for correctly retrieving items a user is looking for…
Go to the profile of Federico Sala
Federico Sala
How to Build a Business-Oriented Recommendation Systems

How to Build a Business-Oriented Recommendation Systems

How to build an effective and explainable recommendation tool combining basic statistical principles and business knowledge.
Go to the profile of Marco Andreoni
Marco Andreoni
Input Validation Made Simple in Spring Batch Applications

Input Validation Made Simple in Spring Batch Applications

How to validate the input in a Spring Batch application with JSR-380 and Hibernate Validator
Go to the profile of Stefano Stasuzzo
Stefano Stasuzzo
Monitoring ETL pipelines with the Elastic Stack

Monitoring ETL pipelines with the Elastic Stack

How to monitor data pipelines to detect deteriorations and unexpected behaviors
Go to the profile of Matteo Di Pierro
Matteo Di Pierro
Graph-based real-time recommendation systems

Graph-based real-time recommendation systems

How to build a recommendation engine that leverages the connection within data in real-time. Practical example using Neo4j and Cypher.
Go to the profile of Matteo Cimini
Matteo Cimini
One Reference to rule them all

One Reference to rule them all

As Tolkien taught us with the book of The Lord of the Rings, to put all the power in a single item is very difficult, since it requires…
Go to the profile of Pietro La Torre
Pietro La Torre
How to monitor your Kafka cluster efficiently?

How to monitor your Kafka cluster efficiently?

Kafka clusters are complex by definition, making it difficult to know at a glance if they’re healthy. It is therefore essential to have an…
Go to the profile of Marco Catalano
Marco Catalano
It’s a long way to Innovation (if you wanna rock’n’roll)

It’s a long way to Innovation (if you wanna rock’n’roll)

As AC DC sang in their immortal rock song “it’s a long way to the top”. Since the beginning of time those who “reached the top” are those…
Go to the profile of Pietro La Torre
Pietro La Torre
Automate Vertica Cluster provisioning with SaltStack

Automate Vertica Cluster provisioning with SaltStack

Check out how we’ve automated the creation of Vertica Database Clusters using SaltStack
Go to the profile of Giandomenico Avelluto
Giandomenico Avelluto
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