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

📆 May 2024

Details coming soon!

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Event Replays

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

• 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 Modules

🎓 Iceberg Tables Optimization Techniques

This eLearning module is designed for data engineers, architects, and anyone working with Iceberg Tables. We will cover essential optimization techniques crucial for maintaining a healthy Iceberg architecture according to best practices.

What will be covered?

• Effective Data Ordering: Learn how to optimize data retrieval through strategic ordering techniques to enhance query performance.

• Efficient Partitioning Strategies: Discover methods to partition Iceberg tables efficiently to ensure data is organized for optimal access and processing speed.

• Managing Small Files: Address the common challenge of small file management in Iceberg tables, which can degrade performance and increase costs.

• Sharing Iceberg Tables Externally: Explore best practices for sharing Iceberg tables across different environments and platforms, ensuring compatibility and maintaining data integrity.

This module is presented Jason Hall, Senior Solutions Architect at Upsolver.

🎓 Lakehouse vs. Data Lake

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

The learning covers everything from the basics and common applications to detailed discussions on architecture, file versus 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

Snowflake Summit, June 3-6, 2024

Snowflake is coming home to San Francisco. Join Upsolver team members, Roy Hasson and Santona Tuli, at Snowflake Summit 2024 to explore all the cutting-edge innovation the Data Cloud has to offer. Discover the latest in AI, genAI, Apache Iceberg, streaming, privacy-preserving collaboration, flexible programmability, application development and much more.

Hear valuable insights from data and AI experts and business leaders, while discovering the limitless possibilities of data, AI and application collaboration for your organization.

Register here.

⭐⭐ 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.

Watch the replays on demand.

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