WEBINAR: The Life of an Apache Iceberg Query - 13 September 2022

The Life of an Apache Iceberg Query       REGISTER

Tuesday, September 13, 2022   10 AM PT / 1 PM ET

Hi there, Apache Iceberg offers the tools for query engines to make fast and efficient query plans on your data lakehouse. In this webinar, we’ll learn how Iceberg queries play out through planning and execution. In this webinar we will learn: The step-by-step process of an INSERT query The step-by-step process of a DELETE query The step-by-step process of an UPSERT/MERGE query The step-by-step process of a SELECT query Understanding of Iceberg delete files Register for this webinar to gain a deeper understanding of how Iceberg brings to you fast queries on your data lakehouse.

Speaker

Alex Merced Developer Advocate Dremio

WEBINAR: Apache Iceberg: An Architectural Look Under the Covers - 28 June 2022

 

Apache Iceberg: An Architectural Look Under the Covers       REGISTER

Tuesday, June 28, 2022   9:00 AM PT | 12:00 PM ET

Speaker

Jason Hughes Director of Product Management Dremio

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. So what is the answer? Apache Iceberg. 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, Technical Director 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