What we're about

Local community-ran meetup for developers interested in learning and practicing on AI, Machine Learning, Deep Learning, Data Science, and Cloud topics.

Our goal is to congregate with AI enthusiasts from all over Hyderabad to learn and practice AI tech, through tech talks, workshops, bootcamps, etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, ML, Cloud, Data.

Upcoming events (2)

Data talk: Apache Iceberg: An Architectural Look Under the Covers

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Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2022062809

Description:
Data Lakes have been built with a desire to democratize data - to allow more and more people, tools, and applications to make use of data. A key capability needed to achieve it is hiding the complexity of underlying data structures and physical data storage from users. The de-facto standard has been the Hive table format, released by Facebook in 2009 that addresses some of these problems, but falls short at data, user, and application scale.

Apache Iceberg table format is now in use and contributed to by many leading tech companies like Netflix, Apple, Airbnb, LinkedIn, Dremio, Expedia, and AWS.

Join Jason Hughes, Director of Product Management at Dremio, for this webinar to learn the architectural details of why the Hive table format falls short and why the Iceberg table format resolves them, as well as the benefits that stem from Iceberg’s approach.
You will learn:
- The issues that arise when using the Hive table format at scale, and why we need a new table format
- How a straightforward, elegant change in table format structure has enormous positive effects
- The underlying architecture of an Apache Iceberg table, how a query against an Iceberg table works, and how the table’s underlying structure changes as CRUD operations are done on it
- The resulting benefits of this architectural design

More AI/ML/Data tech events up coming (free join from anywhere):
🔷 Jun 20, Webinar: Run Spark In Large Scale On Kubernetes
🔷 Jun 29, Workshop: Migrating to Apache Kafka
🔷 Jun 30, Webinar: Accelerate AI Impact with a Feature Store
🔷 July 7, Webinar: Getting The Most From Your Data With Open Metadata
🔷 Aug 23, Conference: Ray ML Summit (San Francisco)

Hands-on Workshop on Apache Kafka

Needs a location

Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2022062910

We are hosting a series of tech talks on Kafka, data layers, you can join us online from anywhere:

  • June 2: Benefits of Insourcing vs Outsourcing Data Layer Operations.
  • June 16: Open-Source Software Vs. Open-Core Software
  • July 14: PostgreSQL Enterprise Features.
    RSVP: https://www.aicamp.ai/event/eventdetails/W2022071410

Description:
Recently there has been a huge interest with clients who are interested in moving from Confluent Kafka to open source Apache Kafka®. We have put together a webinar with very easy steps to move from Confluent Kafka to Apache Kafka. Is your organization currently using Confluent Kafka and looking for an easy step to migrating to Apache Kafka without losing a single message and impact on your application? Then this webinar will address all your questions.

In this webinar we will address:
- Difference between Confluent Kafka and Apache Kafka
- Why migrate from the Confluent Kafka to Apache Kafka?
- Different approaches to migrating from Confluent Kafka to Opensource Kafka.
- Introduction to Instaclustr Managed Apache Kafka
- Factors to consider before migrating to Instaclustr Managed Apache Kafka
- Detailed migration steps and migration walkthrough
- Live demo to migrate from Confluent Kafka to Instaclustr Managed Kafka

What will you get out of this webinar?
This webinar is intended to provide insight on the specific challenges commonly faced by companies who are running Confluent Kafka cluster and interested in migrating to open source Apache Kafka.

Who should attend?
This webinar is geared towards Kafka business and technology users, specifically those who consider migrating from Confluent Kafka to open source Apache Kafka.

More AI/ML/Data tech events up coming (free join from anywhere):
🔷 Jun 15, Conference: MLOps Summit (San Francisco)
🔷 Jun 16, Workshop: Build End-to-End Deep Learning Models
🔷 Jun 20, Webinar: Run Spark In Large Scale On Kubernetes
🔷 Jun 29, Webinar: Accelerate AI Impact with a Feature Store
🔷 July 7, Getting The Most From Your Data With Open Metadata
🔷 Aug 23, Conference: Ray ML Summit (San Francisco)

Past events (71)

Data talk: Open-Source Software Vs. Open-Core Software

Needs a location

Photos (73)