Remove tag
article thumbnail

Enriching metadata for accurate text-to-SQL generation for Amazon Athena

AWS Big Data

athena_sql_generating_instructions = """ Read database schema inside the tags which contains a list of table names and their schemas to do the following: 1. These SQL generating instructions specify which compute engine the SQL query should run on and other instructions to guide the model in generating the SQL query.

Metadata 105
article thumbnail

Amazon OpenSearch Service launches flow builder to empower rapid AI search innovation

AWS Big Data

This middleware consists of custom code that runs data flows to stitch data transformations, search queries, and AI enrichments in varying combinations tailored to use cases, datasets, and requirements. Ingest flows are created to enrich data as its added to an index. Flows are a pipeline of processor resources.

Insiders

Sign Up for our Newsletter

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

article thumbnail

How to Implement Data Lineage Mapping Techniques

Octopai

In other words, kind of like Hansel and Gretel in the forest, your data leaves a trail of breadcrumbs – the metadata – to record where it came from and who it really is. So the first step in any data lineage mapping project is to ensure that all of your data transformation processes do in fact accurately record metadata.

Metadata 133
article thumbnail

Ensuring Data Transformation Quality with dbt Core

Wayne Yaddow

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

article thumbnail

How CFM built a well-governed and scalable data-engineering platform using Amazon EMR for financial features generation

AWS Big Data

Governance – At CFM, our Data teams are split into autonomous teams that can use different technologies based on their requirements and skills. To share data to our internal consumers, we use AWS Lake Formation with LF-Tags to streamline the process of managing access rights across the organization.

article thumbnail

How Chime Financial uses AWS to build a serverless stream analytics platform and defeat fraudsters

AWS Big Data

We choose AWS Glue mainly due to its serverless nature, which simplifies infrastructure management with automatic provisioning and worker management, and the ability to perform complex data transformations at scale. The data infrastructure team built an abstraction layer on top of Spark and integrated services.

Analytics 110
article thumbnail

How Your Finance Team Can Lead Your Enterprise Data Transformation

Alation

Building a Data Culture Within a Finance Department. Our finance users tell us that their first exposure to the Alation Data Catalog often comes soon after the launch of organization-wide data transformation efforts. After all, finance is one of the greatest consumers of data within a business.

Finance 52