Worum es bei uns geht

The NYC NoSQL & NewSQL Group
(formerly known as The NYC MySQL Group)
is the world’s largest database Meetup!

Official URL: http://www.NYCSQL.com

HD-Video of our previous events is regularly posted to our YouTube channel http://goo.gl/Y0MHCL and published to the Database Month website http://www.DBMonth.com

https://youtu.be/kSkenFWcY68

Learn amazing new data tech from technology creators, founders & tech execs CEO / CTO / CIO / VP.

All of our presentations are geared for a general-audience of people interested in database technologies; many events go into deep-tech but always include prerequisite knowledge so that all attendees (beginners to advanced) can expect to be able to grasp the concepts and leave much more knowledgeable.

SQL NYC is the world's largest database community on Meetup, focusing on NoSQL, NewSQL & Big Data.

Prior speakers have included:
- Creator of MySQL
- Both founders, CEO and CTO, of MongoDB
- Inventor of PHP
- Chief Technical Officer of the City of New York
- Founder of Microsoft Azure DocumentDB
- CEO of Couchbase
...and the list goes on...

About our SQL NYC community, written by Edward Oates:
(Ed Oates co-founded Oracle Corporation with Larry Ellison)

Data is at the center of our technological revolution: acquiring it, accessing it, searching it, analyzing it, and securing it. Nearly everything else we do is to provide a user friendly window for those activities.

Gathering to learn about data management and security is a vital activity to motivate the innovators who will sustain our technological progress and who will make the break through inventions that advance us by leaps rather than steps.

Database Month Festival (http://www.DatabaseMonth.com)
To remain cutting-edge, we host the biannual Database Month (http://www.DBMonth.com) festival, focusing on:

MySQL & SQL

NoSQL including MongoDB, Couchbase, Aerospike, CouchDB, Redis, Riak, Cloudant

NewSQL such as NuoDB, VoltDB, MemSQL

MySQL forks & alternatives like Clustrix, MariaDB, Percona, Drizzle

Big data technologies like Hadoop, Cassandra, MarkLogic, HPCC

Did you know that Techie Youth (http://www.TechieYouth.org) is the ONE-AND-ONLY organization providing career-opportunities to severely-at-risk foster-youth in New York?

Techie Youth (http://www.TechieYouth.org) is a 501c3 not-for-profit charity of NYC that provides technology-education, followed by assistance beginning an IT-career, to at-risk youth in NYC & Long Island who are in foster-care and classified as being severely-at-risk of becoming homeless and/or incarcerated in the next 18-24 months.

These kids need YOU, they have nobody else. Please help them. Learn how at https://www.TechieYouth.org

Bevorstehende Events (3)

Machine Learning SPECIAL: 🤖 MLOps NYC Conference - Where Science Meets Reality!

MLOps NYC conference is a full day about managing and automating machine learning pipelines, in order to bring data science into business applications. Presentations will be about bringing data science into business applications through a wide range of related topics such as AI in business apps, ML model training at scale, Kubeflow, MLSpec, MLflow, serverless in machine learning and using GPUs to accelerate training. MLOps NYC will bring industry leaders together from companies like Netflix, Twitter, Uber, Spotify, Google, Microsoft and Walmart, as well as international data scientists and engineers. Get 10% off by registering through this Meetup group. Check out the conference program for more info at https://www.mlopsnyc.com/agenda - use this link if you’re registering through Eventbrite to benefit from the discount https://www.eventbrite.com/e/mlops-nyc-conference-tickets-62500417431?discount=SQL_NYC0924

⛈️ Cloud Data Warehouse Security Lessons from the Trenches + BEER, FOOD & SWAG!

‣ Free beer, delicious food, fun swag + win a Polaroid Cube 2 action camera! Presented by: ‣ Christopher Hane, Principle Software Engineer, Actian Are you looking to move your analytics data to the cloud but worried about security and access? In this informative presentation, we will share lessons learned while deploying the multi-cloud Avalanche Cloud Data Warehouse. You will learn about AWS security groups for your virtual private cloud, Azure virtual network security, data encryption, AWS S3 and Azure Data Lake security for raw data files and examples of access for data loading into Avalanche. ⁃⁃⁃ Christopher Hane, Principle Software Engineer, Actian ⁃⁃⁃ Christopher Hane is a Principle Software Engineer at Actian (http://www.Actian.com) He has held various development roles within Ingres, Vector and now the Cloud Services team. Chris has led a number of cutting edge projects, immersing himself in new technologies with vast success. Chris has 24 years of experience developing database products and is now pioneering efforts to provide the fastest database in the world as a cloud-based service solution. Born and raised on Long Island, Chris earned his Bachelor's degree in Computer Science from SUNY Stony Brook. • Swag giveaway + food/drinks at 6:30pm • Power-Networking at 6:35pm • Presentation starts at 6:40pm •••> You can help a foster-child without parents or family redirect their life using technology-education! Learn how now: https://www.TechieYouth.org

👉MMMLM 🧠💥 Multi-Model for Machine Learning Metadata + FREE T-shirts & food...

‣ Free T-shirts, hard drinks & epicure delights: cheese, chocolate, caviar & more! Presented by: ‣ Jörg Schad, Head of Engineering and Machine Learning, ArangoDB With the rapid and recent rise of data science, the machine learning platforms being built are becoming more complex. You might be aware of the importance of high quality training data for machine learning, but for a production setup the metadata is equally important, including: different versions/datasets, varying versions of jupyter notebooks, different training parameters, test/training accuracy, different features, model serving statistics and many others. It is critical that we have a common view across all the metadata in a production setup as we need to determine which jupyter notebook has been used to build the model that is currently running in production, if there is new data for a given dataset, and if the models that are currently serving in production need to be updated. One particular challenge with metadata is choosing the data model. Individual data entities are typically unstructured and would be a perfect fit for a document database, such as the statistics of a training run. As opposed to a scenario where you need to capture the relations between different entities and need to determine which models have been derived from a dataset. We will explore in this presentation how a multi-model approach can help us to manage ML pipelines at scale, in particular machine learning meta data (MLMD) as part of the TensorFlow ecosystem. We will also propose a first draft of an MLMD-compatible universal Metadata API and demo the first implementation of this API using ArangoDB. ⁃⁃⁃ Jörg Schad, Head of Engineering and Machine Learning, ArangoDB ⁃⁃⁃ Jörg Schad is Head of Machine Learning at ArangoDB. In a previous life, he has worked on and built machine learning pipelines in healthcare, distributed systems at Mesosphere, and in-memory databases. He received his Ph.D. for research around distributed databases and data analytics. Jörg is a frequent speaker at Meetups, international conferences and lecture halls. • Swag giveaway + food/drinks at 6:30pm • Power-Networking at 6:35pm • Presentation starts at 6:40pm •••> You can help a foster-child without parents or family redirect their life using technology-education! Learn how now: https://www.TechieYouth.org

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Fotos (6.597)