Remove metadata-management-best-practices
article thumbnail

Best Practices for Metadata Management

Alation

What Is Metadata? Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata.

article thumbnail

The Basics of Python Packaging in Early 2023

DrivenData Labs

There are now several popular and shiny modern tools for managing your packaging projects. What are the recommended best practices when creating a Python package? What is the minimal amount that you need to do in order to follow the best practices? What are the standards? How do I use these standards?

Python 246
professionals

Sign Up for our Newsletter

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

article thumbnail

Bring light to the black box

IBM Journey to AI blog

There are 3 main reasons why organizations struggle with adopting AI: a lack of confidence in operationalizing AI, challenges around managing risk and reputation, and scaling with growing AI regulations. This solution is designed to include everything needed to develop a consistent transparent model management process.

AI 79
article thumbnail

Where Do Data Catalogs Fit in Metadata Management?

Alation

In an earlier blog, I defined a data catalog as “a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses.”.

article thumbnail

Secure your Amazon Kendra indexes with the ACL using a JWT shared secret key

AWS Machine Learning Blog

When an Amazon Kendra index receives a query API call with a user access token, it validates the token using a shared secret key (stored securely in AWS Secrets Manager ) and gets parameters such as username and groups in the payload. An AWS account with access to Amazon Simple Storage Service (Amazon S3), Amazon Kendra, and Secrets Manager.

AWS 88
article thumbnail

How to Create Iceberg Tables in Snowflake

phData

Snowflake-managed Iceberg table’s performance is at par with Snowflake native tables while storing the data in public cloud storage. In this blog, we will review the steps to create Snowflake-managed Iceberg tables with AWS S3 as external storage and read them from a Spark or Databricks environment. metadata.json").show()

SQL 52
article thumbnail

What Are the Best Data Modeling Methodologies & Processes for My Data Lake?

phData

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. Check out our Data Governance on Snowflake blog! What is a Data Lake?