When you create, delete or update new table items, Iceberg automatically create snapshots and replace the old data with the snapshot data, this snapshot can be used to do run time travel queries and rollback any data table at any point of the time. Iceberg make possible time travel queries and rollback data. Iceberg also support partition columns by month, days, hours, minutes and seconds. Cost effective and secure way to store dataįor this case you can use Iceberg tables as your open-source table format, this type of tables fully supports SQL commands and allow to create partition columns, Iceberg can partition the data by time and store the data in different folders, just as an example supposed we have a column in the data tables that show the item year, if you pass that column as partition column Iceberg store the data by year in different s3 bucket folders, using time column partitions Iceberg can query the data tables faster, because the query is going to retry only certain items by certain time. Allow Rollback data at any point in the time.Data tables should allow time travel queries.Create tables that can support partition columns.Build a data warehouse tables that support SQL commands.Suppose you have a new data warehouse project in which the client wants to development a new data acquisition system to save their data with the next requirements: Finally, this blog discusses about the Iceberg tables advantages as a conclusion. This blog shows a complete demo to explain how to create a table schema using AWS Glue, what is the correct configuration to create a new Iceberg table using AWS Athena, and how the time-queries stored Iceberg data in AWS S3. Iceberg is an open table format created by Apache that can manage large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Apache Iceberg is a key piece to achieving an open lake house architecture so you can reduce the cost of data warehouses. Team members: Alex Guerrero, Clyo Ramirez, Gabriel Rodriguez, Jeremy Williams Introductionĭata storage and data lake are topics often discussed in the IT industry.
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