There has been a lot of buzz around ChatGPT and how it may (or may not) change how we develop software. Where do we go from here? In this talk, Joel Grus will share view lay of the land, and tell us exactly when the robots will take our jobs.

Speaker biography

Joel Grus is a Principal Engineer at Flatfile and the author of "Data Science from Scratch". He lives in Boerne. Find him on Twitter @joelgrus

I love to go out for a weekend bike ride when I can, but where can I ride safely? In this talk, Jack Turek will present work he's done in creating a dashboard about bicycle and pedestrian crashes in San Antonio. Join us as he walks us through the process of collecting the data from TxDOT, processing it, and putting together a dashboard in RShiny.

About the speaker:
Jack Turek is a USMC veteran and a self-taught data scientist. He currently works in tech consulting with EY and is interested in applying data science techniques to urban planning & public transportation issues.

What do you do when you've got a bunch of data to clean and merge in your data warehouse? Do you try and just manage a bunch of SQL scripts? Do you try and set up a complex DAG tool like Airflow?

In this talk, Paul will introduce dbt (data build tool), an easy tool for coordinating work in your DWH. With just some SQL queries and a few YAML files you can quickly and easily start building out table queries and relationships for all of your data.

About the speaker

Paul Anzel is a senior data engineer with Sentry.io, where he uses dbt daily to clean and prepare customer and business data for BizOps, sales, and marketing. He has previously worked for HEB, Metromile, and Wiser. Paul is a volunteer for the NumFocus Affiliate Project Selection Committee and the SciPy conference.

N.B.: Event will be on the 6th floor.

Ever deploy new code for a 10-hour data pipeline that breaks in the middle because you forgot a close-parenthesis somewhere? I have and it hurts. Other software disciplines can write code tests - why can't we?

But wait, how do you even unit test a SQL query?

In this talk, Paul will introduce ways to approach testing your data code, looking at traditional tests, static analysis, and data quality checks. We'll discuss useful tools like pre-commit, SQLFluff, and Great Expectations. And with just a little bit of work, you too can make your data code much more robust.

About the speaker
Paul Anzel is a senior data engineer with Sentry.io, where he uses dbt daily to clean and prepare customer and business data for BizOps, sales, and marketing. He has previously worked for HEB, Metromile, and Wiser. Paul is a volunteer for the NumFocus Affiliate Project Selection Committee and the SciPy conference.

Note: Event will be on the 6th floor, not the 3rd floor.

May the 4th be with you as SATX's Data Science Meetup strikes back! That's right, we're back at Codeup in-person talking Machine Learning.

A/B testing is a great tool for running experiments, from testing different email subject lines to working on site features. But the traditional approach for handling statistics around these leaves something to be desired. Who actually understands what a P-value is, anyway? In this talk, I'll show how easy it is to try taking a Bayesian approach instead, and how doing this will give much more intuitive answers for what you're trying to understand.

Come meet Paul Anzel, the Lead Data Engineer at Codecov as he takes you through what you need to know to be a DS Jedi. He's previously done work as a data scientist and data engineer for H-E-B, Metromile, and Wiser.

Spark AI Summit is next week, June 22nd - 26th, and this year... (drum roll please).... it's Virtual and FREE!!! So if you fancy yourself a Data Scientist maybe you can stream the talks during the day and soak up all the knowledge from the world's premier data professionals.

Obviously this is like an entire week-long conference but here are the details to get your FREE access to Spark AI Summit (did I mention FREE?)... of course, I would love to see some conversations in our DS Meetup Slack channel. Here are the details below:

How Do I Get My FREE Ticket?:
https://myeventi.events/sparkaisummit20/na/register/?_ga=2.115739334.1344135.1580942244-1555737229.1574127226

Who is on the Agenda?
https://databricks.com/sparkaisummit/north-america-2020/speakers

If you happen to be around -- one of our own, Justin Hoffman, will also be presenting at the conference!!!
https://databricks.com/session_na20/apache-spark-vs-apache-spark-an-on-prem-comparison-of-databricks-and-open-source-spark

Big Data and AI is not trained on one computer, that's why Data Scientists need to know an assortment of technologies to train their AI models.

If you are curious to learn how to get started on AWS (Amazon Web Services) or curious about Cloud technologies, please join us as Andrei Koenig gives a beginner-oriented talk “Intro to AWS & Cloud Technologies"!

No previous AWS knowledge required, you will also get a FREE one-year AWS account.

Andrei Koenig is an Integrations Engineer at Crowdskout and a self-taught developer. In this talk, Andrei will help you get started with AWS and give a step-by-step introduction to core AWS services for compute, storage and databases.

Come join us to get a survey of how companies and organizations leverage Elastic's capabilities to solve lots of challenges: logs, security analytics, business metrics, alerting, anomaly detection, speed layers for data lakes, and yes application search!

Having reviewed some of these use cases: we will take a look deeper into security analytics with demos for going outside the playbook to figure out the bad actor behavior, as well as identifying great machine learning jobs which can help to identify incidents and anomaly detection.

Geoff Bernard is a solution architect at Elastic. Based in Dallas, he supports efforts in Texas and nearby - usually centered around (but not limited to) (1) search use cases, (2) operational logs, and (3) and security analytics - all of which benefit by support from the Elastic Stack.

"Everything you Wanted to Know about Kafka and Streaming Platforms But You Were Too Afraid to Ask!"

In the last few years, Apache Kafka has been used extensively in enterprises for real-time data collecting, delivering, and processing. In this talk, we’ll dive into some of the key internals that help make Kafka popular. Companies like LinkedIn are now sending more than 1 trillion messages per day to Kafka. Learn about the underlying design in Kafka that leads to such high throughput.

Many companies (e.g., financial institutions) are now storing mission critical data in Kafka. Learn how Kafka supports high availability and durability through its built-in replication mechanism.

Ricardo is a Developer Advocate at Confluent, the company founded by the creators of Apache Kafka. He has +21 years of experience working with Software Engineering, where he specialized in different types of Distributed Systems architectures such as Integration, SOA, NoSQL, Messaging, In-Memory Caching, and Cloud Computing. Prior to Confluent, he worked for other vendors such as Oracle, Red Hat and IONA Technologies, as well as several consulting firms.

While not working and like any good Brazilian — he loves doing Churrasco’s (i.e.: Brazilian Barbecue) with his friends & family, where he gets the chance to talk about anything that is not geek related. Currently, he lives in Apex, North Carolina, with his wife, son and two dogs.