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Create a Word Cloud or Tag Cloud in Python

Analytics Vidhya

The post Create a Word Cloud or Tag Cloud in Python appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction I have always been in love with Data Visualization since the.

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Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

You can download the dataset or recreate it locally using the Python script provided in the repository. Each job also has an associated user-defined cost allocation tag that we use to create a data quality cost report in AWS Cost Explorer later on. In the Tags section, define dqjob tag as rs5. Choose Save. Choose Apply.

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Introducing enhanced support for tagging, cross-account access, and network security in AWS Glue interactive sessions

AWS Big Data

In this post, we discuss the following new management features recently added and how can they give you more control over the configurations and security of your AWS Glue interactive sessions: Tags magic – You can use this new cell magic to tag the session for administration or billing purposes. worker_type G.1X worker_type G.1X

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

AWS Big Data

The function uses the AWS SDK for Python (Boto3) APIs to provision the resources. Lake Formation tag-based access control (LF-TBAC) is an authorization strategy that defines permissions based on attributes. In Lake Formation, these attributes are called LF-Tags. You can see the associated database LF-Tags.

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6 Exciting Announcements Made at Snowflake Summit 2022

CDW Research Hub

Tag-Based Data Masking. Snowflake’s new tag-based masking policies add a much-needed functionality change that enables easier use, future capabilities, and less overall code to maintain. Policy administrators can create a policy for each data type and assign all of those policies to a single tag. Snowpark for Python.

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Implement tag-based access control for your data lake and Amazon Redshift data sharing with AWS Lake Formation

AWS Big Data

With this feature, Amazon Redshift customers can now manage sharing, apply access policies centrally, and effectively scale the permission using LF-Tags. Lake Formation also provides tag-based access control (TBAC), which can be used to simplify and scale governance of data catalog objects such as databases and tables.

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Use IAM runtime roles with Amazon EMR Studio Workspaces and AWS Lake Formation for cross-account fine-grained access control

AWS Big Data

Amazon EMR Studio is an integrated development environment (IDE) that makes it straightforward for data scientists and data engineers to develop, visualize, and debug data engineering and data science applications written in R, Python, Scala, and PySpark. We register Amazon EMR as the session tag value. Choose Save.