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Title & Speakers Event
Weekly Meeten en Drinken 2026-01-28 · 18:00

Ahoy, fellow Appsterdammers! If you feel like it's time to start slowly getting used to being social again, maybe you'd like to warm up with your fellow makers, nerds, and other technology enthusiasts, who might better understand your specific interests and social style. Join us in the cozy cafe where Appsterdam was born, at an earlier than usual time, to enjoy their legendary terrace and its ongoing attempts to comply with an ever-shifting landscape of rules — something many App Makers will understand! Yes, even after ten long years and a pandemic, this is still the place for you to meet your fellow Appsterdammers, get to know members of the community, meet a potential business partner, bring your app to share with others, exchange ideas with like-minded people... No talks are ever scheduled and everyone is always welcome to join. Be sure to ask the waitress/waiter about their seasonal beers and grab a snack to share with your friends. All Appsterdammers get 10% off the entire bill, so order whatever you want to eat/drink. Then sit back and enjoy the company of your peers. The day is always Wednesday. The place is always Café Bax. The time, for now, is 19:00. Please note: It's a very casual event so people often don't RSVP or show up exactly on time. But don't fear, you can always find Appsterdammers at this event! Not sure you're in the right place? Just ask the staff!

Weekly Meeten en Drinken
Weekly Meeten en Drinken 2026-01-21 · 18:00

Ahoy, fellow Appsterdammers! If you feel like it's time to start slowly getting used to being social again, maybe you'd like to warm up with your fellow makers, nerds, and other technology enthusiasts, who might better understand your specific interests and social style. Join us in the cozy cafe where Appsterdam was born, at an earlier than usual time, to enjoy their legendary terrace and its ongoing attempts to comply with an ever-shifting landscape of rules — something many App Makers will understand! Yes, even after ten long years and a pandemic, this is still the place for you to meet your fellow Appsterdammers, get to know members of the community, meet a potential business partner, bring your app to share with others, exchange ideas with like-minded people... No talks are ever scheduled and everyone is always welcome to join. Be sure to ask the waitress/waiter about their seasonal beers and grab a snack to share with your friends. All Appsterdammers get 10% off the entire bill, so order whatever you want to eat/drink. Then sit back and enjoy the company of your peers. The day is always Wednesday. The place is always Café Bax. The time, for now, is 19:00. Please note: It's a very casual event so people often don't RSVP or show up exactly on time. But don't fear, you can always find Appsterdammers at this event! Not sure you're in the right place? Just ask the staff!

Weekly Meeten en Drinken
Weekly Meeten en Drinken 2026-01-14 · 18:00

Ahoy, fellow Appsterdammers! If you feel like it's time to start slowly getting used to being social again, maybe you'd like to warm up with your fellow makers, nerds, and other technology enthusiasts, who might better understand your specific interests and social style. Join us in the cozy cafe where Appsterdam was born, at an earlier than usual time, to enjoy their legendary terrace and its ongoing attempts to comply with an ever-shifting landscape of rules — something many App Makers will understand! Yes, even after ten long years and a pandemic, this is still the place for you to meet your fellow Appsterdammers, get to know members of the community, meet a potential business partner, bring your app to share with others, exchange ideas with like-minded people... No talks are ever scheduled and everyone is always welcome to join. Be sure to ask the waitress/waiter about their seasonal beers and grab a snack to share with your friends. All Appsterdammers get 10% off the entire bill, so order whatever you want to eat/drink. Then sit back and enjoy the company of your peers. The day is always Wednesday. The place is always Café Bax. The time, for now, is 19:00. Please note: It's a very casual event so people often don't RSVP or show up exactly on time. But don't fear, you can always find Appsterdammers at this event! Not sure you're in the right place? Just ask the staff!

Weekly Meeten en Drinken
Weekly Meeten en Drinken 2026-01-07 · 18:00

Ahoy, fellow Appsterdammers! If you feel like it's time to start slowly getting used to being social again, maybe you'd like to warm up with your fellow makers, nerds, and other technology enthusiasts, who might better understand your specific interests and social style. Join us in the cozy cafe where Appsterdam was born, at an earlier than usual time, to enjoy their legendary terrace and its ongoing attempts to comply with an ever-shifting landscape of rules — something many App Makers will understand! Yes, even after ten long years and a pandemic, this is still the place for you to meet your fellow Appsterdammers, get to know members of the community, meet a potential business partner, bring your app to share with others, exchange ideas with like-minded people... No talks are ever scheduled and everyone is always welcome to join. Be sure to ask the waitress/waiter about their seasonal beers and grab a snack to share with your friends. All Appsterdammers get 10% off the entire bill, so order whatever you want to eat/drink. Then sit back and enjoy the company of your peers. The day is always Wednesday. The place is always Café Bax. The time, for now, is 19:00. Please note: It's a very casual event so people often don't RSVP or show up exactly on time. But don't fear, you can always find Appsterdammers at this event! Not sure you're in the right place? Just ask the staff!

Weekly Meeten en Drinken
Weekly Meeten en Drinken 2025-12-31 · 18:00

Ahoy, fellow Appsterdammers! If you feel like it's time to start slowly getting used to being social again, maybe you'd like to warm up with your fellow makers, nerds, and other technology enthusiasts, who might better understand your specific interests and social style. Join us in the cozy cafe where Appsterdam was born, at an earlier than usual time, to enjoy their legendary terrace and its ongoing attempts to comply with an ever-shifting landscape of rules — something many App Makers will understand! Yes, even after ten long years and a pandemic, this is still the place for you to meet your fellow Appsterdammers, get to know members of the community, meet a potential business partner, bring your app to share with others, exchange ideas with like-minded people... No talks are ever scheduled and everyone is always welcome to join. Be sure to ask the waitress/waiter about their seasonal beers and grab a snack to share with your friends. All Appsterdammers get 10% off the entire bill, so order whatever you want to eat/drink. Then sit back and enjoy the company of your peers. The day is always Wednesday. The place is always Café Bax. The time, for now, is 19:00. Please note: It's a very casual event so people often don't RSVP or show up exactly on time. But don't fear, you can always find Appsterdammers at this event! Not sure you're in the right place? Just ask the staff!

Weekly Meeten en Drinken
Weekly Meeten en Drinken 2025-12-24 · 18:00

Ahoy, fellow Appsterdammers! If you feel like it's time to start slowly getting used to being social again, maybe you'd like to warm up with your fellow makers, nerds, and other technology enthusiasts, who might better understand your specific interests and social style. Join us in the cozy cafe where Appsterdam was born, at an earlier than usual time, to enjoy their legendary terrace and its ongoing attempts to comply with an ever-shifting landscape of rules — something many App Makers will understand! Yes, even after ten long years and a pandemic, this is still the place for you to meet your fellow Appsterdammers, get to know members of the community, meet a potential business partner, bring your app to share with others, exchange ideas with like-minded people... No talks are ever scheduled and everyone is always welcome to join. Be sure to ask the waitress/waiter about their seasonal beers and grab a snack to share with your friends. All Appsterdammers get 10% off the entire bill, so order whatever you want to eat/drink. Then sit back and enjoy the company of your peers. The day is always Wednesday. The place is always Café Bax. The time, for now, is 19:00. Please note: It's a very casual event so people often don't RSVP or show up exactly on time. But don't fear, you can always find Appsterdammers at this event! Not sure you're in the right place? Just ask the staff!

Weekly Meeten en Drinken
Weekly Meeten en Drinken 2025-12-17 · 18:00

Ahoy, fellow Appsterdammers! If you feel like it's time to start slowly getting used to being social again, maybe you'd like to warm up with your fellow makers, nerds, and other technology enthusiasts, who might better understand your specific interests and social style. Join us in the cozy cafe where Appsterdam was born, at an earlier than usual time, to enjoy their legendary terrace and its ongoing attempts to comply with an ever-shifting landscape of rules — something many App Makers will understand! Yes, even after ten long years and a pandemic, this is still the place for you to meet your fellow Appsterdammers, get to know members of the community, meet a potential business partner, bring your app to share with others, exchange ideas with like-minded people... No talks are ever scheduled and everyone is always welcome to join. Be sure to ask the waitress/waiter about their seasonal beers and grab a snack to share with your friends. All Appsterdammers get 10% off the entire bill, so order whatever you want to eat/drink. Then sit back and enjoy the company of your peers. The day is always Wednesday. The place is always Café Bax. The time, for now, is 19:00. Please note: It's a very casual event so people often don't RSVP or show up exactly on time. But don't fear, you can always find Appsterdammers at this event! Not sure you're in the right place? Just ask the staff!

Weekly Meeten en Drinken
Weekly Meeten en Drinken 2025-12-10 · 18:00

Ahoy, fellow Appsterdammers! If you feel like it's time to start slowly getting used to being social again, maybe you'd like to warm up with your fellow makers, nerds, and other technology enthusiasts, who might better understand your specific interests and social style. Join us in the cozy cafe where Appsterdam was born, at an earlier than usual time, to enjoy their legendary terrace and its ongoing attempts to comply with an ever-shifting landscape of rules — something many App Makers will understand! Yes, even after ten long years and a pandemic, this is still the place for you to meet your fellow Appsterdammers, get to know members of the community, meet a potential business partner, bring your app to share with others, exchange ideas with like-minded people... No talks are ever scheduled and everyone is always welcome to join. Be sure to ask the waitress/waiter about their seasonal beers and grab a snack to share with your friends. All Appsterdammers get 10% off the entire bill, so order whatever you want to eat/drink. Then sit back and enjoy the company of your peers. The day is always Wednesday. The place is always Café Bax. The time, for now, is 19:00. Please note: It's a very casual event so people often don't RSVP or show up exactly on time. But don't fear, you can always find Appsterdammers at this event! Not sure you're in the right place? Just ask the staff!

Weekly Meeten en Drinken
Weekly Meeten en Drinken 2025-12-03 · 18:00

Ahoy, fellow Appsterdammers! If you feel like it's time to start slowly getting used to being social again, maybe you'd like to warm up with your fellow makers, nerds, and other technology enthusiasts, who might better understand your specific interests and social style. Join us in the cozy cafe where Appsterdam was born, at an earlier than usual time, to enjoy their legendary terrace and its ongoing attempts to comply with an ever-shifting landscape of rules — something many App Makers will understand! Yes, even after ten long years and a pandemic, this is still the place for you to meet your fellow Appsterdammers, get to know members of the community, meet a potential business partner, bring your app to share with others, exchange ideas with like-minded people... No talks are ever scheduled and everyone is always welcome to join. Be sure to ask the waitress/waiter about their seasonal beers and grab a snack to share with your friends. All Appsterdammers get 10% off the entire bill, so order whatever you want to eat/drink. Then sit back and enjoy the company of your peers. The day is always Wednesday. The place is always Café Bax. The time, for now, is 19:00. Please note: It's a very casual event so people often don't RSVP or show up exactly on time. But don't fear, you can always find Appsterdammers at this event! Not sure you're in the right place? Just ask the staff!

Weekly Meeten en Drinken
Richie – host @ DataCamp , Bill Canady – CEO @ Arrowhead Engineered Products

Data-driven turnarounds are transforming how struggling businesses find their path back to profitability. When companies falter, the key to recovery can often lies in understanding which 20% of customers and products generate 80% of profits. But how do you quickly identify these critical assets when time is running out? What metrics should you prioritize when cash flow is tight? For data professionals, the challenge extends beyond analysis to implementation—balancing the need for automation of routine tasks while reskilling employees for higher-value work. The intersection of empathy and analytics becomes crucial as teams navigate the emotional journey of organizational change while making tough decisions based on hard numbers. Bill Canady is CEO at Arrowhead Engineered Products and a global business executive with over 30 years of experience across a range of industries. Bill is known for aligning with stakeholders to establish clear, growth-oriented strategies, as well as leading global public, private, and private equity-owned companies by building strong leadership teams and fostering deep relationships. As the former CEO of OTC Industrial Technologies, he oversaw $1 billion in annual sales. Under his leadership, OTC achieved over 43% revenue growth and a 78% increase in earnings. Throughout his career, Bill has guided organizations through complex challenges in regulatory, investor, and media landscapes. Drawing on his extensive experience, he developed the Profitable Growth Operating System (PGOS) to help business leaders worldwide drive sustainable, profitable growth. In the episode, Richie and Bill explore the journey from panic to profit in failing companies, the 100-day turnaround process, leveraging data for decision-making, the Pareto principle in business, automation's role in efficiency, and the importance of empathy and continuous learning in leadership, and much more. Links Mentioned in the Show: Bill’s new book: From Panic to ProfitThe 80/20 CEO by Bill CanadyConnect with BillBill’s websiteSkill Track: AI LeadershipRelated Episode: Leadership in the AI Era with Dana Maor, Senior Partner at McKinsey & CompanySign up to attend RADAR: Skills Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

AI/ML Analytics
DataFramed
Michael Simons – author , Mark Needham – author , Michael Hunger – author

Dive into DuckDB and start processing gigabytes of data with ease—all with no data warehouse. DuckDB is a cutting-edge SQL database that makes it incredibly easy to analyze big data sets right from your laptop. In DuckDB in Action you’ll learn everything you need to know to get the most out of this awesome tool, keep your data secure on prem, and save you hundreds on your cloud bill. From data ingestion to advanced data pipelines, you’ll learn everything you need to get the most out of DuckDB—all through hands-on examples. Open up DuckDB in Action and learn how to: Read and process data from CSV, JSON and Parquet sources both locally and remote Write analytical SQL queries, including aggregations, common table expressions, window functions, special types of joins, and pivot tables Use DuckDB from Python, both with SQL and its "Relational"-API, interacting with databases but also data frames Prepare, ingest and query large datasets Build cloud data pipelines Extend DuckDB with custom functionality Pragmatic and comprehensive, DuckDB in Action introduces the DuckDB database and shows you how to use it to solve common data workflow problems. You won’t need to read through pages of documentation—you’ll learn as you work. Get to grips with DuckDB's unique SQL dialect, learning to seamlessly load, prepare, and analyze data using SQL queries. Extend DuckDB with both Python and built-in tools such as MotherDuck, and gain practical insights into building robust and automated data pipelines. About the Technology DuckDB makes data analytics fast and fun! You don’t need to set up a Spark or run a cloud data warehouse just to process a few hundred gigabytes of data. DuckDB is easily embeddable in any data analytics application, runs on a laptop, and processes data from almost any source, including JSON, CSV, Parquet, SQLite and Postgres. About the Book DuckDB in Action guides you example-by-example from setup, through your first SQL query, to advanced topics like building data pipelines and embedding DuckDB as a local data store for a Streamlit web app. You’ll explore DuckDB’s handy SQL extensions, get to grips with aggregation, analysis, and data without persistence, and use Python to customize DuckDB. A hands-on project accompanies each new topic, so you can see DuckDB in action. What's Inside Prepare, ingest and query large datasets Build cloud data pipelines Extend DuckDB with custom functionality Fast-paced SQL recap: From simple queries to advanced analytics About the Reader For data pros comfortable with Python and CLI tools. About the Authors Mark Needham is a blogger and video creator at @‌LearnDataWithMark. Michael Hunger leads product innovation for the Neo4j graph database. Michael Simons is a Java Champion, author, and Engineer at Neo4j. Quotes I use DuckDB every day, and I still learned a lot about how DuckDB makes things that are hard in most databases easy! - Jordan Tigani, Founder, MotherDuck An excellent resource! Unlocks possibilities for storing, processing, analyzing, and summarizing data at the edge using DuckDB. - Pramod Sadalage, Director, Thoughtworks Clear and accessible. A comprehensive resource for harnessing the power of DuckDB for both novices and experienced professionals. - Qiusheng Wu, Associate Professor, University of Tennessee Excellent! The book all we ducklings have been waiting for! - Gunnar Morling, Decodable

data data-science data-science-tools Pandas Analytics API Big Data Cloud Computing CSV Data Analytics DuckDB DWH Java JSON Motherduck Neo4j Parquet postgresql Python Spark SQL
O'Reilly Data Science Books
Moulay Zaidane Al Bahi Draidia – Sr Data Scientist at Laurel , Jim Howard – Principal Machine Learning Engineer at Laurel , Vincent La – Principal Data Scientist, Laurel

Laurel provides an AI-driven timekeeping solution tailored for accounting and legal firms, automating timesheet creation by capturing digital work activities. This session highlights two notable AI projects: UTBMS Code Prediction: Leveraging small language models, this system builds new embeddings to predict work codes for legal bills with high accuracy. More details are available in our case study: https://www.laurel.ai/resources-post/enhancing-legal-and-accounting-workflows-with-ai-insights-into-work-code-prediction . Bill Creation and Narrative Generation: Utilizing Retrieval-Augmented Generation (RAG), this approach transforms users’ digital activities into fully billable entries. Additionally, we will discuss how we use Airflow for model management in these AI projects: Daily Model Retraining: We retrain our models daily Model (Re)deployment: Our Airflow DAG evaluates model performance, redeploying it if improvements are detected Cost Management: To avoid high costs associated with querying large language models frequently, our DAG utilizes RAG to efficiently summarize daily activities into a billable timesheet at day’s end.

AI/ML Airflow GenAI LLM RAG
Airflow Summit 2024
Bill Bejeck – author

Everything you need to implement stream processing on Apache KafkaⓇ using Kafka Streams and the kqsIDB event streaming database. Kafka Streams in Action, Second Edition guides you through setting up and maintaining your streaming processing with Kafka. Inside, you’ll find comprehensive coverage of not only Kafka Streams, but the entire toolbox you’ll need for effective streaming—from the components of the Kafka ecosystem, to Producer and Consumer clients, Connect, and Schema Registry. In Kafka Streams in Action, Second Edition you’ll learn how to: Design streaming applications in Kafka Streams with the KStream and the Processor API Integrate external systems with Kafka Connect Enforce data compatibility with Schema Registry Build applications that respond immediately to events in either Kafka Streams or ksqlDB Craft materialized views over streams with ksqlDB This totally revised new edition of Kafka Streams in Action has been expanded to cover more of the Kafka platform used for building event-based applications. You’ll also find full coverage of ksqlDB, an event streaming database that makes it a snap to create applications that respond immediately to events, such as real-time push and pull updates. About the Technology Enterprise applications need to handle thousands—even millions—of data events every day. With an intuitive API and flawless reliability, the lightweight Kafka Streams library has earned a spot at the center of these systems. Kafka Streams provides exactly the power and simplicity you need to manage real-time event processing or microservices messaging. About the Book Kafka Streams in Action, Second Edition teaches you how to create event streaming applications on the amazing Apache Kafka platform. This thoroughly revised new edition now covers a wider range of streaming architectures and includes data integration with Kafka Connect. As you go, you’ll explore real-world examples that introduce components and brokers, schema management, and the other essentials. Along the way, you’ll pick up practical techniques for blending Kafka with Spring, low-level control of processors and state stores, storing event data with ksqlDB, and testing streaming applications. What's Inside Design efficient streaming applications Integrate external systems with Kafka Connect Enforce data compatibility with Schema Registry About the Reader For Java developers. No knowledge of Kafka or streaming applications required. About the Author Bill Bejeck is a Confluent engineer and a Kafka Streams contributor with over 15 years of software development experience. Bill is also a committer on the Apache KafkaⓇ project. Quotes Comprehensive streaming data applications are only a few years away from becoming the reality, and this book is the guide the industry has been waiting for to move beyond the hype. - Adi Polak, Director, Developer Experience Engineering, Confluent Covers all the key aspects of building applications with Kafka Streams. Whether you are getting started with stream processing or have already built Kafka Streams applications, it is an essential resource. - Mickael Maison, Principal Software Engineer, Red Hat Serves as both a learning and a resource guide, offering a perfect blend of ‘how-to’ and ‘why-to.’ Even if you have been using Kafka Streams for many years, I highly recommend this book. - Neil Buesing, CTO & Co-founder, Kinetic Edge

data data-engineering streaming-messaging Kafka API Java Data Streaming
O'Reilly Data Engineering Books

The team scrambles to find an AI to support them. Meanwhile, the industry faces a dilemma. This second episode of The Testing Planet will focus on the hot testing topic of AI (artificial intelligence), ML (machine learning) and LLMs (large language models). We will be multi-streaming to LinkedIn and YouTube.

Schedule (UK Timezone)

👋 See you at the next The Testing Planet episode, The Toolsmith 🛠️


The Testing Planet is a free monthly virtual community gathering produced by Ministry of Testing. Each monthly episode brings important news to the testing planet, where individuals share their epic learning stories. How we tell the story will vary. It could be a report. An interview. News roundups. Challenges. AMAs. Workshops. Talk. And more. There are several ways you can get involved with The Testing Planet 2024:

  • Presenter: share your insights and knowledge with the community by presenting a talk.
  • Leader: Guide and direct participants through an activity or challenge, providing leadership and support.
  • Anchor: Host or present a news broadcast, delivering updates and information.
  • Navigator: Assist community members in joining The Testing Planet, offering support and guidance before, during, and after each episode.
  • Expert: Participate as a guest in an Ask Me Anything (AMA) or Panel Discussion, sharing your expertise and insights on any topic.
  • Teacher: Instruct participants through a short workshop, providing valuable insights and hands-on learning experiences to boost their skills and knowledge.

Which role could you take on? Contribute to The Testing Planet


Registration is open to all, yet how about joining the community? Sign up for free today.

The Testing Planet Episode Two: The Machine

Please join PyData Pittsburgh for the talk The emerging AI regulatory landscape: What technology practitioners need to know from patent attorney, space lawyer, and technology transfer maven Steven Wood. Steven's talk will touch on major developments in the legal and regulatory landscape affecting the development and use of AI technology, including the EU AI Act, the US Executive Order on the "Safe, Secure, and Trustworthy Development and Use of AI", export controls, concerns around intellectual property and copyright, and more.

We'll be gathering in person at the Code & Supply Workspace.

How to find us

Attendees are welcome to use the parking lot associated with the Code & Supply building off St. Clair Street. The front door on Friendship Avenue will be open but is stairs-only. There's an elevator by the parking lot entrance. Head to the third floor and look for signs pointing to the presentation room, where the event will be held. All doors should be unlocked and open, so you're welcome to come right in!

About the talk

Current advances in artificial intelligence (AI) have created much excitement and concern with experts across industry, academia, and government considering both the present and future capabilities of and potential existential threats posed by AI. AI experts, politicians, policymakers, and others have called for regulation and controls on the development and proliferation of AI, some going so far as to suggest that AI represents an extinction-level threat to humanity.

Currently, various regulatory regimes relating to the development and standardization of AI technologies exist and need to be considered. The specific laws depend in part on geographic location, as jurisdictions such as the European Union (EU) already have their own legislation (EU AI Act) and more than 30 US States have started regulating AI, enacting over 50 state-level laws in the absence of broad federal legislation. Further, international efforts between the EU and US seek to provide support and leadership in international standardization efforts by collaborating on development of technical AI standards, some currently underway before the International Organization for Standardization. These standards impact the design, operation, measurement, evaluation, and risk management of trustworthy AI.

In January 2023, the White House Office of Science and Technology Policy published its Blueprint for an AI Bill of Rights and the National Institute of Standards and Technology released an AI Risk Management Framework. On October 30, 2023, building on earlier work, including an executive order directing agencies to combat algorithmic discrimination and obtaining voluntary commitments from major US companies (such as Amazon, Google, Meta, Microsoft and OpenAI) to engage in safe, secure, and trustworthy AI development, US President Joe Biden issued an executive order (EO) on the "Safe, Secure, and Trustworthy Development and Use of AI". In early February 2024, the White House announced that the tasked executive agencies had completed all 90-day actions mandated by this order.

Additional regulatory landscape considerations important to AI include export controls under International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR), as well as patentability considerations before the US Patent & Trademark Office. Further critical developments at the intersection with Intellectual Property include the various lawsuits alleging copyright infringement in the training of Large Language Models like Chat-GPT, etc.

With so much action around AI technologies development and regulation, it can be challenging to closely track and understand the implications of everything as it continues to evolve so dynamically. Nevertheless, this academic review will endeavor to provide an accurate snapshot of the current legal regimes and regulatory landscapes impacting AI and its use as a practical guide for AI developers and entrepreneurs.

Help us spread the word!

Share these posts about Steven's talk on your favorite platforms:

The emerging AI regulatory landscape: What tech practitioners need to know

Attention all CryptoMondays enthusiasts!

In honor of Martin Luther King, Jr we're taking January 15th off.

Martin Luther King Jr. Day (this year), the federal holiday, falls on the actual birthday of the celebrated civil rights leader who was assassinated more than half a century ago. As the US commemorates the Rev. Martin Luther King Jr.'s legacy, here are a few things to know about the holiday honoring the slain activist and his fight against inequality and racial injustice.

From subversive to hero

This year marks 56 years since the activist was assassinated.

Today, King is widely lauded as a hero who led a nonviolent crusade against racist segregation policies.

It's been said... "He had to push himself really out of his comfort zone to argue, to debate, to really challenge some of the leaders of this country."

Arizona opposed the holiday until a referendum was passed in 1992, after the state lost an estimated $500 million in revenue when the NFL moved the 1993 Super Bowl game to California in protest.

The timing is also in line with the Uniform Holiday Act of 1968, which ensures a long weekend for workers.

In 1994, under then-President Bill Clinton, it became the only federal holiday dedicated to volunteerism after Congress passed the King Holiday and Service Act. Americans are encouraged to observe the day "with acts of civic work and community service" in honor of King's legacy.

We're excited to share with our community what we've been building. See you next week!!!!

Interested in speaking, sponsoring, or volunteer opportunities? Email [email protected]

We're taking the Martin Luther King, Jr Holiday off See you Next week (Jan 22nd)

Details

DON'T MISS DSC'S COLLIDE DATA CONFERENCE ON OCTOBER 3-4 IN ATLANTA! REGISTER HERE WITH DSATL'S VIP PROMO CODE Get ready to witness the collision of data and industry at Data Science Connect's COLLIDE Data Science Conference IN-PERSON on October 3-4, 2023 in Atlanta, Georgia. This event will showcase the latest trends and advancements in data-driven decision making and how it is revolutionizing every industry. As the field of data science continues to rapidly evolve, COLLIDE will offer insights into how data is transforming the way businesses operate and make decisions. Attendees will hear from leading experts in the field and have the opportunity to engage in lively discussions and networking opportunities. Join us at COLLIDE and discover how the collision of data and industry is shaping our present and revolutionizing our future. Get ready to COLLIDE with the future of data-driven industry!

AGENDA CONFERENCE PRESENTATIONS, INDUSTRY PANELS, AND HANDS-ON WORKSHOPS DAY 1 - Wednesday, October 3 from 9AM - 5PM EST DAY 2 - Thursday, October 4 from 9AM - 5PM EST 2023 SPEAKERS TO BE ANNOUNCED PAST DSC SPEAKERS INCLUDE: Melvin Greer\, PhD \| Chief Data Scientist @ Intel 🖥️ Juan Gorricho \| Former Chief Data Officer @ Visa 💳 Lo Li \| CTO @ Spanx 👠 Inderpal Bhandari\, PhD \| Global Chief Data Officer @ IBM 👩🏽‍💻 Charles Duze \| Analytics Leadership @ Meta 🌐 Eric Schmidt \| Global Director - Data & Advanced Analytics @ The Coca-Cola Company 🥤 Sol Rashidi \| Chief Analytics Officer @ Estee Lauder 💄 Ben Dundee \| Lead Director Data Science and Experimentation @ CVS Health ⚕️ Hua Ai \| General Manager Predictive Modeling @ Delta ✈️ Bharath Varma Sagi \| Senior Data Scientist @ Starbucks 🍵 Anshul Agarwal \| Director of Decision Science @ The Walt Disney Company 🎥 Francisco Rius \| Head of Data Science @ Minecraft ⛏️ Doug Wynne \| Director of Strategic Analytics @ Comcast 📡 Faizan Javed \| Senior Director of Data Science & Engineering @ Kaiser Permanente 🏥 Leondra Gonzalez \| Senior Data & Applied Scientist @ Microsoft 🧑‍💻 Meet Patel \| Senior Director\, Global Advanced Analytics @ Kellogg Company 🥣 Nechama Katan \| Director of Data Science @ Pfizer 💊 Bill Franks \| Director\, Center for Data Science and Analytics @ KSU🎓 Joel Amick CISSP\, MBA\, MSIT \| Director\, Cyber Automation\, Analytics & Data Science @ TIAA 📈 Selma Dogic \| Sr. Manager\, Analytics COE @ Carter's 👶

DSC COLLIDE Data Conference 2023 - IN-PERSON | ATLANTA, GA
Cris deRitis – host , Bernard Yaros – Economist @ Moody's Analytics , Mark Zandi – Chief Economist @ Moody's Analytics , Marisa DiNatale – Senior Director @ Moody's Analytics

Colleague, Bernard Yaros joins the podcast to help unpack the January CPI Report (which just happened to be released on Valentine's Day) and discuss their biggest inflation concerns, including Marisa's shockingly high gas bill. Bernard gives a rundown of the U.S. Treasury outlook with regards to the debt limit. Follow Mark Zandi @MarkZandi, Cris deRitis @MiddleWayEcon, and Marisa DiNatale on LinkedIn for additional insight

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

Analytics
Moody's Talks - Inside Economics
Vishal Singh – Head of Products @ Starburst , Tobias Macey – host

Summary

With all of the messaging about treating data as a product it is becoming difficult to know what that even means. Vishal Singh is the head of products at Starburst which means that he has to spend all of his time thinking and talking about the details of product thinking and its application to data. In this episode he shares his thoughts on the strategic and tactical elements of moving your work as a data professional from being task-oriented to being product-oriented and the long term improvements in your productivity that it provides.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you're ready to build your next pipeline, or want to test out the projects you hear about on the show, you'll need somewhere to deploy it, so check out our friends at Linode. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Go to dataengineeringpodcast.com/linode today and get a $100 credit to launch a database, create a Kubernetes cluster, or take advantage of all of their other services. And don't forget to thank them for their continued support of this show! Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. By the time errors have made their way into production, it’s often too late and damage is done. Datafold built automated regression testing to help data and analytics engineers deal with data quality in their pull requests. Datafold shows how a change in SQL code affects your data, both on a statistical level and down to individual rows and values before it gets merged to production. No more shipping and praying, you can now know exactly what will change in your database! Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. Sign up free at dataengineeringpodcast.com/rudder Build Data Pipelines. Not DAGs. That’s the spirit behind Upsolver SQLake, a new self-service data pipeline platform that lets you build batch and streaming pipelines without falling into the black hole of DAG-based orchestration. All you do is write a query in SQL to declare your transformation, and SQLake will turn it into a continuous pipeline that scales to petabytes and delivers up to the minute fresh data. SQLake supports a broad set of transformations, including high-cardinality joins, aggregations, upserts and window operations. Output data can be streamed into a data lake for query engines like Presto, Trino or Spark SQL, a data warehouse like Snowflake or Redshift., or any other destination you choose. Pricing for SQLake is simple. You pay $99 per terabyte ingested into your data lake using SQLake, and run unlimited transformation pipelines for free. That way data engineers and data users can process to their heart’s content without worrying about their cloud bill. For data engineering podcast listeners, we’re offering a 30 day trial with unlimited data, so go to dataengineeringpodcast.com/upsolver today and see for yourself how to avoid DAG hell. Your host is Tobias Macey and today I'm interviewing Vishal Singh about his experience

Airflow Analytics CDP CI/CD Cloud Computing Data Engineering Data Lake Data Management Data Quality Datafold dbt DWH Kubernetes MongoDB MySQL postgresql Presto Redshift Snowflake Spark SQL Data Streaming Trino
Rishabh Poddar – guest @ Opaque Systems , Tobias Macey – host

Summary

Encryption and security are critical elements in data analytics and machine learning applications. We have well developed protocols and practices around data that is at rest and in motion, but security around data in use is still severely lacking. Recognizing this shortcoming and the capabilities that could be unlocked by a robust solution Rishabh Poddar helped to create Opaque Systems as an outgrowth of his PhD studies. In this episode he shares the work that he and his team have done to simplify integration of secure enclaves and trusted computing environments into analytical workflows and how you can start using it without re-engineering your existing systems.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you're ready to build your next pipeline, or want to test out the projects you hear about on the show, you'll need somewhere to deploy it, so check out our friends at Linode. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Go to dataengineeringpodcast.com/linode today and get a $100 credit to launch a database, create a Kubernetes cluster, or take advantage of all of their other services. And don't forget to thank them for their continued support of this show! Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. By the time errors have made their way into production, it’s often too late and damage is done. Datafold built automated regression testing to help data and analytics engineers deal with data quality in their pull requests. Datafold shows how a change in SQL code affects your data, both on a statistical level and down to individual rows and values before it gets merged to production. No more shipping and praying, you can now know exactly what will change in your database! Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. Sign up free at dataengineeringpodcast.com/rudder Build Data Pipelines. Not DAGs. That’s the spirit behind Upsolver SQLake, a new self-service data pipeline platform that lets you build batch and streaming pipelines without falling into the black hole of DAG-based orchestration. All you do is write a query in SQL to declare your transformation, and SQLake will turn it into a continuous pipeline that scales to petabytes and delivers up to the minute fresh data. SQLake supports a broad set of transformations, including high-cardinality joins, aggregations, upserts and window operations. Output data can be streamed into a data lake for query engines like Presto, Trino or Spark SQL, a data warehouse like Snowflake or Redshift., or any other destination you choose. Pricing for SQLake is simple. You pay $99 per terabyte ingested into your data lake using SQLake, and run unlimited transformation pipelines for free. That way data engineers and data users can process to their heart’s content without worrying about their cloud bill. For data engineering podcast listeners, we’re offering a 30 day trial with unlimited data, so go to dataengineeringpodcast.com/upsolver today an

AI/ML Airflow Analytics CDP CI/CD Cloud Computing Data Analytics Data Engineering Data Lake Data Management Data Quality Datafold dbt DWH Kubernetes MongoDB MySQL postgresql Presto Redshift Cyber Security Snowflake Spark SQL Data Streaming Trino