Community

Join the conversations and learn more about data ingestion.

Slack Channel

Post your questions on the Upsolver Community Slack channel.

Social Media

• Connect with Upsolver on LinkedIn.

• Watch our data ingestion videos on YouTube.

• Follow us on Twitter @Upsolver.

• Engage with Upsolver on Facebook.

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Online Events

📆 April 2024

How to Build and Query Your First Iceberg Lakehouse on AWS: Hands-on Tutorial

Live Webinar | April 30th | 10am PT / 1pm ET / 5pm GMT

Data and AI-driven companies are increasingly turning to iceberg-based lakehouses for their cost-efficiency in storing large datasets and supporting a wide range of data access tools. By choosing Amazon Web Services (AWS) as the cloud platform for deploying these lakehouses, companies benefit from AWS’s robust, scalable, and secure infrastructure, along with its comprehensive suite of integrated services, like Amazon S3, AWS Glue Data Catalog, and Amazon Athena.

In this hands-on tutorial, we will guide you through the essentials of setting up, ingesting, and querying an iceberg-based lakehouse on AWS.

We’ll cover:

• Key components and principles behind iceberg-based lakehouses.

• Step-by-step walkthrough to configure your lakehouse storage and catalog.

• Use Upsolver to configure and run an ingestion job to stream events from Amazon Kinesis into the lakehouse.

• Observe the data as it flows in real-time, including volume, schema, and value distribution.

• Learn how to evaluate the health and performance of Iceberg tables using the Upsolver table analyzer.

• Query the lakehouse using Amazon Athena.

Join us for this practical session and take the first step towards building your own lakehouse in AWS.

📢 Limited Seats Alert! 📢

This virtual event has limited seating. Don't miss your chance to join in this workshop to learn how to build your first data lakehouse. Register today for your place.

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Event Replays

• Building Iceberg Lakehouse with Spark and Upsolver: Technical Deep Dive

• Product Insights at Scale: ZeroETL ingestion from PostgreSQL to Iceberg Lakehouse

• Lakehouse vs. Data Lake: Ideal Uses Cases and Architectural Considerations

• Data Lake to Snowflake Migration: A Hands-On Walkthrough

• Is Real-Time Data a Fad?

• MongoDB to Snowflake: Ingesting Document-Based Application Data Using CDC

• CDC Replication from SQL Server into Snowflake: 3 Modern Techniques

• Production-Grade Database Replication to Snowflake in Less Than Ten Minutes

• How to Handle the 5 Data Quality Problems that Can Pollute Your Snowflake Architecture

• Architect your AWS Lakehouse for Streaming Data

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E-Learning

Lakehouse vs. Data Lake

In these recorded videos we will provide an in-depth look at data lakes and lakehouses, highlighting their goals, architectural differences, and use cases.

It covers everything from the basics and common applications to detailed discussions on architecture, file vs. table formats, and transactions.

The module also addresses:

• Schema and partition management

• Scalability

• Performance challenges

• And offers guidance on selecting the appropriate technology for your data needs.

In his role as VP of Product, Roy Hasson contributes extensive knowledge from his previous position as a product manager for AWS Glue and AWS Lake Formation.

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Conferences & Meetups

⭐⭐ Upsolver Chill Data Summit, February 2024 ⭐⭐

Did you miss our Chill Data Summit in New York City? We hosted some of the best speakers in the data industry for this special one-day event devoted to educating content around Apache Iceberg and data lakehouses.

Register here to watch the replay on demand.

In-person attendees at the Chill Data Summit NYC 2024 learning about Apache Iceberg and data lakehouses.