article thumbnail

Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

Apache Iceberg manages these schema changes in a backward-compatible way through its innovative metadata table evolution architecture. With Lake Formation, you can manage fine-grained access control for your data lake data on Amazon S3 and its metadata in the Data Catalog. Iceberg maintains the table state in metadata files.

Snapshot 108
article thumbnail

Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. By using these statistics, CBO improves query run plans and boosts the performance of queries run in Athena.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

DAMA International Community Corner: August 2021 – A Wrap for Now

TDAN

With this column, DAMA International’s streak of quarterly columns since mid-2001 is coming to an end. It has been an incredible run. I hope it is just “see you soon” rather than “goodbye.” The columns have featured the activities and incredible work of DAMA International over the past two decades. Thank you, DAMA, and I […].

IT 105
article thumbnail

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI. Allows metadata repositories to share and exchange.

article thumbnail

Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day. This data contains metadata information like organization names for their respective organization IDs, agent names, and more. client("s3") S3_BUCKET = ' ' kinesis_client = boto3.client("kinesis")

article thumbnail

Data Science, Past & Future

Domino Data Lab

I can point to the year 2001. It was also the year, 2001, when “ Agile Manifesto ” was published. We had Julia Lane talking about Coleridge Initiative and the work on Project Jupyter to support metadata and data governance and lineage. All righty. Where did this happen? Where did this gap start to emerge?

article thumbnail

Generate security insights from Amazon Security Lake data using Amazon OpenSearch Ingestion

AWS Big Data

An example is provided below ocsf-cuid-${/class_uid}-${/metadata/product/name}-${/class_name}-%{yyyy.MM.dd} Complete the following steps to install the index templates and dashboards for your data: Download the component_templates.zip and index_templates.zip files and unzip them on your local device. Set region as us-east-1.