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Topic: Building an AI-Ready Data Stack: Integrating Lakehouse and Catalog for Unified Intelligence

Description: In todays AI-driven world, data fragmentation is the biggest barrier to building intelligent systems. Join VeloDB and Datastrato for an in-depth session on how modern data architectures are evolving to support unified, AI-ready analytics.

In this session, Rayner Chen (VP of Engineering, VeloDB) will explore how catalogs break down data silos and enable truly unified analytics across lakehouse environmentssharing best practices for integrating structured and streaming data into a single, high-performance stack. Then, Jerry Shao (Co-founder & CTO, Datastrato) will dive into the role of metadata catalogs as context, showing how rich metadata and governance frameworks can power and control the next generation of AI applications.

Whether youre building large-scale analytics platforms or preparing your organization for AI, this session will give you the architectural insights and practical frameworks to build a cohesive, AI-ready data stack.

  • Breaking Data Silos with Catalogs: How to Build Unified Analytics (Speaker: Rayner Chen, VP of Engineering@VeloDB)
  • Catalogs as Context: Using metadata to power and govern the next wave of AI development (Speaker: Jerry Shao, Co-founder and CTO@Datastrato)

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Discover More About WeCloudData


ABOUT US

WeCloudData is the leading accredited education institute in North America that focuses on Data Science, Data Engineering, DevOps, Artificial Intelligence, and Business Intelligence.

Developed by industry experts, and hiring managers, and highly recognized by our hiring partners,WeCloudDatas learning paths have helped many students make successful transitions into data and DevOps roles that fit their backgrounds and passions.WeCloudData provides a different and more practical teaching methodology, so that students not only learn the technical skills but also acquire the soft skills that will make them stand out in a work environment.

WeCloudData has also partnered with many big companies to help them adopt the latest tech in Data, AI, and DevOps. Visit our website for more information: https://weclouddata.com

Building an AI-Ready Data Stack: Integrating Lakehouse & Catalog

Are you ready to meet, connect with, and have fun with like-minded people who share the same passion for digital currency and blockchain technology?

Whether you're an industry professional looking to expand your horizons or a beginner just starting out, this event provides a platform to connect with other like-minded individuals. You'll have the chance to share your thoughts and ideas on cryptocurrency, blockchain, and other related topics. You can also find potential business partners, collaborative opportunities, potential investors, trading partners, and support relationships.

If so, then the upcoming New York City's Largest CryptoMondaysNY

As always, there's plenty of time for networking before and after the fireside chat.

Special Guest Edward Sullivan CEO and Founder \| Trust Exchange. A successful technology executive with over 20 years of experience building and managing early-stage companies, Ed is a serial entrepreneur and investor, having started five companies where he has raised over $70 million in venture capital and created $700 million in exits for investors and shareholders. Also, Ed was the founder and CEO of Aria Systems, an on-demand billing and customer management platform, and LaserLink.net, the world’s first and largest virtual internet service provider. He has worked closely with many large companies as either a customer or partner, including Apple, HP, IBM, Dell, Disney, Dreamworks, Sony, Cisco, CSC, VMware, and EMC.

Moderated by Lou Kerner Founder \| CRYPTOMONDAYS & CryptoORACLE Collective Lou has been focused on crypto 24/7 since seeing the crypto light on June 29, 2017. Partner at Blockchain Coinvestors, a crypto fund-of-funds, and CEO of Blockchain Coinvestors Acquisition Corp., a SPAC focused on merging with a rapidly growing crypto company. We also do 30+ one-off crypto investments a year. Lou has built crypto communities, including CryptoMondays, the largest crypto Meetup group in the world. An active crypto blogger via Medium, now as part of Quantum Economics. The CryptoOracle Collective is a decentralized Web3 advisory service. With over 220 web3 experts and 20 clients, the Collective is solving the major problems of the burgeoning web3 industry:

Digital Information Gateways Organized by CrytpoOracle Collective & NFT VIP

If you've RSVP'd for a CryptoMondays NYC event, You have a wallet with at least one ticket (maybe more) in that wallet. When you get scanned, you're more than a member; you're part of the team and will get extra benefits. Fun fact: over half of you have checked in at least once by scanning the QR code, and this has entered you into our Utility Bonus Club: CryptoMondays T-Shirts, Art Basel VIP Event Tickets, and so much more.

Here's the leaderboard of the top scanned tickets

  • Anh Pham
  • Anny Weng
  • Artura Gonzalez
  • Craig Allen
  • David Chen
  • Decho Valev
  • Delphine Tinkman
  • Ellen Oppenheim
  • Emil Skulski
  • Ibrahim Soifoine
  • Jenn Dao
  • Jeremy Rich
  • Jordan White
  • Jude Poku
  • Kensley Junior St Fleur
  • Ko-Yang Wang
  • Kofi K
  • Lane Lytle
  • Lilia Ruso
  • Manny Alicandro
  • Ko-Yang Wang
  • Kofi K
  • Lane Lytle
  • Lilia Ruso
  • Manny Alicandro
  • Sonni Ali Cox
  • Trent Williams
  • ZT Wong

Each of you on the list above will receive a CryptoMondays T-shirt and have the opportunity to meet us in Miami during our Art Basel VIP event. Please share best shirt size to order and If you'll be in Miami December 4–8, 2023

This week, YOU have the opportunity to claim your collectible ticket and scan it at entry.

Most of you already have a wallet and know the deal!

Here's this weeks collectible to claim here

You already have enough VIP Tech Tokens in your wallet to use to claim this week's FREE!!! collectible

If you don’t, click here and sign up for one.

Be on the lookout for an email from [email protected] with a link to your wallet and ticket

Don’t forget to have your ticket ready to be scanned at the entrance. If you don’t know how to do that, ask at the door, and we'll show you on Monday.

Make sure you RSVP with your email to reserve your space. Interested in speaking, sponsoring, or volunteer opportunities? Email [email protected]

Digital Information Gateways with Ed Sullivan Founder of Trust Exchange

Attention all CryptoMondays enthusiasts!

Are you ready to meet, connect, and have fun with like-minded people who share the same passion for digital currency and blockchain technology?

If so, then the upcoming New York City's Largest CryptoMondaysNY Nov 13th, 6:30 - 9 pm At MargaritaVille Times Square Chill Bar 40th & 7th Ave 7th Floor Lobby Bar

Organized by CrytpoOracle Collective & NFT VIP

NFT VIP has curated NFT collectible tickets for the past 18 weeks for CryptoMondaysNY and CryptoMondays Singapore

If you've RSVP'd for a CryptoMondays NYC event, you have a wallet with at least one ticket (maybe more) in that wallet.

When you get scanned, you're more than a member; you're part of the team and will get extra benefits. Fun fact: over half of you have checked in at least once by scanning the QR code, and this has entered you into our Utility Bonus Club: CryptoMondays T-Shirts, Art Basel VIP Event Tickets, and so much more.

Here's the leaderboard of the top scanned tickets

  • Lou Kerner
  • Max Smotritskiy
  • Julie Lamb
  • Alessandro Patti
  • Peter Schwinge
  • Anh Pham
  • Anny Weng
  • Artura Gonzalez
  • Craig Allen
  • David Chen
  • Decho Valev
  • Delphine Tinkman
  • Ellen Oppenheim
  • Ellen Oppenheim
  • Emil Skulski
  • Ibrahim Soifoine
  • Jenn Dao
  • Jeremy Rich
  • Jordan White
  • Jude Poku
  • Kensley Junior St Fleur
  • Ko-Yang Wang
  • Kofi K
  • Lane Lytle
  • Lilia Ruso
  • Manny Alicandro
  • Ko-Yang Wang
  • Kofi K
  • Lane Lytle
  • Lilia Ruso
  • Manny Alicandro
  • Sonni Ali Cox
  • Trent Williams
  • ZT Wong

Each of you on the list above will receive a CryptoMondays T-shirt and have the opportunity to meet us in Miami during our Art Basel VIP event. Please share best shirt size to order and If you'll be in Miami December 4–8, 2023 This week, YOU have the opportunity to claim your collectible ticket and scan it at entry. Most of you already have a wallet and know the deal!

Here's this weeks collectible to claim here

You already have enough VIP Tech Tokens in your wallet to use to claim this week's FREE!!! collectible

If you don’t, click here and sign up for one. Be on the lookout for an email from [email protected] with a link to your wallet and ticket Don’t forget to have your ticket ready to be scanned at the entrance. If you don’t know how to do that, ask at the door, and we'll show you on Monday. Whether you're an industry professional looking to expand your horizons or a beginner just starting out, this event provides a platform to connect with other like-minded individuals. You'll have the chance to share your thoughts and ideas on cryptocurrency, blockchain, and other related topics. You can also find potential business partners, collaborative opportunities, potential investors, trading partners, and support relationships. Make sure you RSVP with your email to reserve your space. Interested in speaking, sponsoring or volunteer opportunities Email [email protected]

NYCs Largest Crypto Meetup @Margaritaville Times Sq 7th Floor

Attention all CryptoMondays enthusiasts!

Are you ready to meet, connect, and have fun with like-minded people who share the same passion for digital currency and blockchain technology?

If so, then the upcoming New York City's Largest CryptoMondaysNY October 30th, 6:30 - 9 pm At MargaritaVille Times Square Chill Bar 40th & 7th Ave 7th Floor Lobby Bar

Organized by CrytpoOracle Collective & NFT VIP

NFT VIP has curated NFT collectible tickets for the past 18 weeks for CryptoMondaysNY and CryptoMondays Singapore

If you've RSVP'd for a CryptoMondays NYC event, you have a wallet with at least one ticket (maybe more) in that wallet.

When you get scanned, you're more than a member; you're part of the team and will get extra benefits. Fun fact: over half of you have checked in at least once by scanning the QR code, and this has entered you into our Utility Bonus Club: CryptoMondays T-Shirts, Art Basel VIP Event Tickets, and so much more.

Here's the leaderboard of the top scanned tickets

  • Lou Kerner
  • Max Smotritskiy
  • Julie Lamb
  • Alessandro Patti
  • Peter Schwinge
  • Anh Pham
  • Anny Weng
  • Artura Gonzalez
  • Craig Allen
  • David Chen
  • Decho Valev
  • Delphine Tinkman
  • Ellen Oppenheim
  • Ellen Oppenheim
  • Emil Skulski
  • Ibrahim Soifoine
  • Jenn Dao
  • Jeremy Rich
  • Jordan White
  • Jude Poku
  • Kensley Junior St Fleur
  • Ko-Yang Wang
  • Kofi K
  • Lane Lytle
  • Lilia Ruso
  • Manny Alicandro
  • Ko-Yang Wang
  • Kofi K
  • Lane Lytle
  • Lilia Ruso
  • Manny Alicandro
  • Sonni Ali Cox
  • Trent Williams
  • ZT Wong

Each of you on the list above will receive a CryptoMondays T-shirt and have the opportunity to meet us in Miami during our Art Basel VIP event. Please share best shirt size to order and If you'll be in Miami December 4–8, 2023 This week, YOU have the opportunity to claim your collectible ticket and scan it at entry. Most of you already have a wallet and know the deal!

Here's this weeks collectible to claim here

You already have enough VIP Tech Tokens in your wallet to use to claim this week's FREE!!! collectible

If you don’t, click here and sign up for one. Be on the lookout for an email from [email protected] with a link to your wallet and ticket Don’t forget to have your ticket ready to be scanned at the entrance. If you don’t know how to do that, ask at the door, and we'll show you on Monday. Whether you're an industry professional looking to expand your horizons or a beginner just starting out, this event provides a platform to connect with other like-minded individuals. You'll have the chance to share your thoughts and ideas on cryptocurrency, blockchain, and other related topics. You can also find potential business partners, collaborative opportunities, potential investors, trading partners, and support relationships. Make sure you RSVP with your email to reserve your space. Interested in speaking, sponsoring or volunteer opportunities Email [email protected]

NYCs Largest Crypto Meetup @Margaritaville Times Sq 7th Floor
Daniel Y. Chen – author

The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Pandas for Everyone Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful data cleaning techniques, from basic string manipulation to applying functions simultaneously across dataframes. Once your data is ready, Chen guides you through fitting models for prediction, clustering, inference, and exploration. He provides tips on performance and scalability, and introduces you to the wider Python data analysis ecosystem. Work with DataFrames and Series, and import or export data Create plots with matplotlib, seaborn, and pandas Combine datasets and handle missing data Reshape, tidy, and clean datasets so they’re easier to work with Convert data types and manipulate text strings Apply functions to scale data manipulations Aggregate, transform, and filter large datasets with groupby Leverage Pandas’ advanced date and time capabilities Fit linear models using statsmodels and scikit-learn libraries Use generalized linear modeling to fit models with different response variables Compare multiple models to select the “best” Regularize to overcome overfitting and improve performance Use clustering in unsupervised machine learning Register your product at informit.com/register for convenient access to downloads, updates, and/or corrections as they become available.

data data-science data-science-tools Pandas AI/ML Matplotlib Python Scikit-learn Seaborn
O'Reilly Data Science Books
Showing 5 results