Webinar: Introducing MySQL HeatWave Lakehouse – processing data in object store with record performance  
This is mock-up module. DO NOT edit or modify any content. Actual content will be fetched from the automation script
Date
(do not edit)
Time
(do not edit)
NOTE: This content block is mandatory and should not be edited or deleted. Deleting this block will affect webinar registration form associated automations. You can add other content blocks/layouts as required for your campaign.
MySQL HeatWave has been enhanced to allow users to process hundreds of terabytes of data in the object store in a variety of file formats like CSV, Parquet, export files from other databases like Aurora and Redshift. Customers can query data in the object store and combine it with data in the database in a single query using standard MySQL syntax. 

HeatWave Lakehouse offers the best performance and price performance in the industry compared to Snowflake, Databricks, Redshift and Google Big Query both for loading data and running queries on several hundred terabytes of data.  

MySQL Autopilot has been enhanced to provide differentiated capabilities for files in object store including automatic schema mapping, predicting the time to load data, adaptive data flow and automatic query plan improvement. The data in the object store remains in the object store, yet the performance of querying data in object store is identical to querying data in the database. 

Join this webinar to gain first-hand insights and discover the latest advancements of MySQL HeatWave Lakehouse.

Featured speaker
Nipun Agarwal

Senior Vice President, MySQL HeatWave Development, Oracle
Oracle kite illustration
Call
chat icon
Chat
Do not edit
star fave icon
Follow
Do not edit
share icon
Share
Do not edit