Remove 2012 Remove Data Analytics Remove Data Governance
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Apply enterprise data governance and management using AWS Lake Formation and AWS IAM Identity Center

AWS Big Data

If the text specifies “You” to perform this step, then it assumes that you are a Data Lake administrator with admin level access. In this solution you move your historical data into Amazon Simple Storage Service (Amazon S3) and apply data governance using Lake Formation. Locate the URL for the AWS access portal.

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Build a secure data visualization application using the Amazon Redshift Data API with AWS IAM Identity Center

AWS Big Data

In todays data-driven world, securely accessing, visualizing, and analyzing data is essential for making informed business decisions. The Amazon Redshift Data API simplifies access to your Amazon Redshift data warehouse by removing the need to manage database drivers, connections, network configurations, data buffering, and more.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

In a sense, there have been three phases of network analytics: the first was an appliance based monitoring phase; the second was an open-source expansion phase; and the third – that we are in right now – is a hybrid-data-cloud and governance phase. The Dawn of Telco Big Data: 2007-2012.

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Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation

AWS Big Data

In this post, we delve into the key aspects of using Amazon EMR for modern data management, covering topics such as data governance, data mesh deployment, and streamlined data discovery. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated.

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How The Explosive Growth Of Data Access Affects Your Engineer’s Team Efficiency

Smart Data Collective

In fact, you may have even heard about IDC’s new Global DataSphere Forecast, 2021-2025 , which projects that global data production and replication will expand at a compound annual growth rate of 23% during the projection period, reaching 181 zettabytes in 2025. zettabytes of data in 2020, a tenfold increase from 6.5

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Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

This approach allows the team to process the raw data extracted from Account A to Account B, which is dedicated for data handling tasks. This makes sure the raw and processed data can be maintained securely separated across multiple accounts, if required, for enhanced data governance and security.

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Amazon DataZone announces custom blueprints for AWS services

AWS Big Data

Administrators can customize Amazon DataZone to use existing AWS resources, enabling Amazon DataZone portal users to have federated access to those AWS services to catalog, share, and subscribe to data, thereby establishing data governance across the platform.

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