Sessione online via YouTube streaming - il link YouTube sarà disponibile verso le 17:45 (lo pubblicheremo via email - twitter - ecc.).
Lo stream YouTube è in ritardo di circa 10/15 secondi.
Lo spazio per le domande sarà alla fine della sessione, usando la chat YouTube dello stream - considerate il ritardo dello stream.
In collaborazione con JUG Milano.

Sessione 1 - CDC: How to make consumer test great
---

Introduzione al concetto di Consumer Driven Contract test, ed
alla sua utilità nell'ambito dei microservizi e della Continuous Deployment.

Analizzeremo come i contract test possano venire in aiuto per controllare
il rilascio in produzione dei microservizi.

Sarà mostrata una sua implementazione con il framework PACT e come questo strumento
assieme al suo broker possano essere di aiuto per lo sviluppo di tale metodologia.

Speaker bio
----
Fabrizio Catapano, appassionato di tecnologia, sviluppatore backend Java. Ho avuto l'opportunità di
mettermi alla prova in diversi ambiti IT per lo sviluppo di applicazioni web-oriented.
Attualmente faccio parte del chapter backend Java in Generali nell'ambizioso progetto
di Digital Factory.

Sessione 2 - Java 15: Le Novità
----
Java 15 è stato rilasciato il 15 Settembre 2020.

In questa sessione vedremo le novità più importanti rilasciate con Java 15

Speaker bio
----
Simone Bordet è uno dei committer di Jetty, il project leader di CometD e un Java Champion.
Simone lavora per Webtide, la società che fornisce supporto e servizi per Jetty e CometD.
Attivo nel mondo Open Source, ha fondato e contribuito a vari progetti open source come Jetty, CometD, MX4J, Foxtrot, LiveTribe e altri.
Simone è stato speaker a diverse conferenze internazionali ed è coordinatore del Java User Group di Torino.
Simone è specializzato in sviluppo server-side multi-thread, protocolli di rete web (HTTP, HTTP/2, WebSocket) e nel performance tuning della JVM.

Avete mai sentito parlare di “Startup Studio” e di come questo animale fantastico sforna cuccioli di startup ciclicamente? Vi siete mai chiesti: "sarà vero che si può testare un'idea di business senza schiantarci il TFR di tutta la famiglia e pure la pensione dei nonni?"
In questo meetup faremo un piccolo viaggio dentro uno startup studio con il racconto di come, dalla visione del mondo futuro, un’idea apparentemente bizzarra si trasforma in una startup attraverso cicli iterativi di esperimenti, apprendimento e sviluppo.
Vi racconteremo l'esperienza concreta di Mammt, il servizio di food delivery che, proprio come la mamma, sceglie il pranzo giusto per te e te lo consegna dove vuoi.
Per chi lavora nel mondo corporate e lotta quotidianamente per essere agile, sarà una ventata di leggerezza, e speranza (!), per chi lavora in una startup un momento di condivisione e confronto: non siete soli :D
Cosa c'entra tutto questo con agile? C'entra c'entra... venite a scoprirlo! Vi aspettiamo mercoledì!

Ciao a tutti! Sono molto felice di annunciare che Big Data AI Torino ritorna con un meetup in presenza, dopo due anni, il 14 Giugno, con un evento gratuito incentrato su Databricks. Emanuele Maffeo, Senior Big Data Engineer ad AgileLab, parlerà di come implementare data pipeline con Azure Databricks con un occhio di riguardo per la Data Quality , successivamente Mattia Zeni, Solutions Architect Data & AI a Databricks farà una introduzione alla Data Lakehouse Platform concentrandosi poi sulle caratteristiche tecniche di Delta. Infine avremo un rinfresco per conoscerci tutti meglio.

I talks saranno in Italiano

Per chi non potrà attendere in presenza l’evento sarà disponibile anche on-line, per favore registrati all’annuncio riguardante la versione del meetup alla quale vuoi partecipare, così da permetterci di organizzare meglio l’evento. [ON-LINE](https://www.meetup.com/it-IT/big-data-ai-torino/events/286112499/?isFirstPublish=true)

LOCATION
L’avento si terrà al toolbox coworking [https://toolboxcoworking.com/ ](https://toolboxcoworking.com/)
Facilmente raggiungibile in metro ed in zona centrale
Via Agostino da Montefeltro, 2, 10134 Torino TO

L’evento durerà approssimativamente due ore + rinfresco:
18:40-19:25 - Data Quality with Azure Databricks (45 mins)
19:25-19:35 - Q&A (10 mins)
19:35-20:20 - Databricks Data Lakehouse & Delta deep dive (45 mins)
20:20-20:30 - Q&A (10 mins)

\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-
Data Quality with Azure Databricks

Abstract: With the increasing amount of data and processes that run on data lakes, data quality is more relevant than ever since it is considered essential by the big data community. High-quality data is a precondition for analyzing and guaranteeing the value of data, so it is a practice that has to be implemented from the beginning of the data lifecycle and then progressively extended to all core processes to get the full benefit from it. Guaranteeing data quality in every step of the data lifecycle is not easy since it generally is enforced after the data has been ingested or processed and after the low-quality data is being used and did damage to the end users.

Azure Databricks is a cloud service that allows the processing of huge amounts of data, batch, and streaming, leveraging apache spark. Databricks developed delta lake, an open-source data storage layer based on parquet, with several additional features like the ability to manage ACID transactions and data time traveling.
In this talk we will explore the azure databricks architecture and the techniques that allow creating data pipelines with data quality as a first-class citizen.

Speaker Emanuele Maffeo [https://www.linkedin.com/in/emanuele-maffeo-34815817/](https://www.linkedin.com/in/emanuele-maffeo-34815817/)
\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-

Databricks Data Lakehouse & Delta deep dive

Abstract: Databricks is the Data and AI company. Headquartered in San Francisco, with offices around the world and hundreds of global partners, Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. Today, more than 7,000 organizations worldwide rely on Databricks to enable massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. As the world’s first and only Lakehouse Platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI. One of the core components of this platform is Delta, an open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs for Scala, Java, Rust, Ruby, and Python. During the meetup we will introduce you to the Lakehouse platform and we will deep dive into the technical characteristics of Delta.

Speaker bio Mattia Zeni ([https://www.linkedin.com/in/mzeni/](https://www.linkedin.com/in/mzeni/)): Mattia Zeni is a Solutions Architect in the Enterprise team of Databricks, helping Italian's biggest companies leveraging Data and AI to solve the world's toughest problems. Before this, he was a Data Engineer in world's leading navigation company TomTom, working on Big Data collected from 800 million vehicles around the globe. He received a BSc and MSc in Telecommunications Engineering and a PhD in Computer Science from the University of Trento, Italy. He presented at many conferences and co-authored more than 20 scientific papers and 3 patents on topics such as Distributed Systems, Big Data and Artificial Intelligence.

Ci vediamo il 14 Giugno!

In this talk Matteo Bovetti - Lead Data Engineer at ProntoPro - will present his experience with Apache Flink and our favourite programming language!

In his own words:
*Implement event driven architectures with stateful services is very hard. In this talk I’m going to show you how such architectures are achievable using Apache Flink Statefun and the Golang SDK (and more!) and how we can deploy and scale it all on Kubernetes.*

So join us at the MSC Technology offices for deep dive in the topic and -as usual- to meet fellow gophers and have a drink and dinner together after the talk!

Note: the talk will be given in Italian 🇮🇹

Big thanks to [MSC Technology](https://www.msc-technology.com) for hosting us and to [SIGHUP](https://www.sighup.io) for pizza and beers!

\#\# Disclamer
Almost two years ago it was the last time we could meet in person.
It's time to take a step forward, so we decided to organize an IN-PERSON event. We will pause webinars, zooms, gMeets to see face-to-face as we used to do a long time ago at the Toolbox in Torino.
I hope to see many of you there and for the pioneers and brave ones you are welcome to be checked-in at the event with [QUA](https://www.qua-app.com), a service we will start experimenting for our events.

You can get the link here:
[https://share.qua-app.com/share/events/cncf-turin-i-just-want-to-publish-my-services-1656606600000](https://share.qua-app.com/share/events/cncf-turin-i-just-want-to-publish-my-services-1656606600000)
download the app and play with it!

\-\-\-
\#\# What is CNCF? \(Cos'é CNCF?\)
CNCF is a branch of The Linux Foundation focused on Cloud Computing and modern scalable architectures. it's supporting tools like Kubernetes, Prometheus, containerd and so on. If you are using one of them or you are looking to know more about them, this is your meetup. Join us! hashtag #CNCFItaly on twitter.

\-\-\-
\#\# About the event
What happens when you struggle publishing your services in the cloud and you spend hours trying to solve and troubleshoot what is going on. In the end after getting sick and tired you remember that: "I just wanted to publish my services!".
We will try to solve the issue together. Even better, you will have a preview of something brand new that is coming from Traefik Labs ([https://traefik.io/](https://traefik.io/)). Please fasten you seatbelts!
And last but not least 🍕&& 🍻 && Networking

\-\-\-
\#\# About the speaker
Sergio Matone is a Cloud Architect, freelance at Gun.io, Traefik Ambassador and passionate for Open Source and extreme sports.
Sponsors: TraefikLabs, Toolbox, CloudNativeFoundation