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Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

If you opt to run the generator script, you need to install the Pandas and Mimesis packages in your Python environment: pip install pandas mimesis The dataset schema is a combination of numerical, categorical, and string variables in order to have enough attributes to use a combination of built-in AWS Glue Data Quality rule types.

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Federate IAM-based single sign-on to Amazon Redshift role-based access control with Okta

AWS Big Data

You can define the mapped database roles as a principal tag for the IdP groups or IAM role, so Redshift database roles and users who are members of those IdP groups are granted to the database roles automatically. This API uses the principal tags to determine the user and database roles that the user belongs to.

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Building a Named Entity Recognition model using a BiLSTM-CRF network

Domino Data Lab

This dataset is based on the GMB ( Groningen Meaning Bank ) corpus, and has been tagged, annotated and built specifically to train a classifier to predict named entities such as name, location, etc. The tags used in the dataset follow the IOB format, which we cover in the next section. The IOB format. a noun group, a verb group etc.)

Modeling 111
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Spark on AWS Lambda: An Apache Spark runtime for AWS Lambda

AWS Big Data

Although Apache Spark’s cluster-based engines are commonly used for data processing, especially with ACID frameworks, they exhibit high resource overhead and slower performance for payloads under 50 MB compared to the more efficient Pandas framework for smaller datasets.

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Single sign-on with Amazon Redshift Serverless with Okta using Amazon Redshift Query Editor v2 and third-party SQL clients

AWS Big Data

You can define the mapped database roles as a principal tag for the IdP groups or IAM role, so Amazon Redshift database roles and users who are members of those IdP groups are granted to the database roles automatically. The API uses the principal tags to determine the user and database roles that the user belongs to.

Finance 79
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Use the Amazon Redshift Data API to interact with Amazon Redshift Serverless

AWS Big Data

If you want to provide specific database privileges to your users with this API, you can use an IAM role with the tag name RedshiftDBRoles with a list of roles separated by colons. Fetch and format results For this post, we demonstrate how to format the results with the Pandas framework.

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How Encored Technologies built serverless event-driven data pipelines with AWS

AWS Big Data

The customer has a Python script (for example, app.py ) that performs these tasks as follows: import os import tempfile import boto3 import numpy as np import pandas as pd import pygrib s3_client = boto3.client('s3') northeast-2.amazonaws.com ap-northeast-2.amazonaws.com/hello-world:latest ap-northeast-2.amazonaws.com/hello-world:latest