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The DataOps Vendor Landscape, 2021

DataKitchen

Testing and Data Observability. Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Testing and Data Observability.

Testing 300
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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

Test access to the producer cataloged Amazon S3 data using EMR Serverless in the consumer account. Test access using Athena queries in the consumer account. Test access using SageMaker Studio in the consumer account. It is recommended to use test accounts. The catalog account will host Lake Formation and AWS Glue.

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Introducing Amazon MWAA support for the Airflow REST API and web server auto scaling

AWS Big Data

Args: region (str): AWS region where the MWAA environment is hosted. Args: region (str): AWS region where the MWAA environment is hosted. Trigger auto scaling programmatically After you configure auto scaling, you might want to test how it behaves under simulated conditions. env_name (str): Name of the MWAA environment.

Testing 89
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NLP Isn’t Enough. Leading Financial Services Companies Are Now Moving to Conversational AI.

CIO Business Intelligence

The very best conversational AI systems come close to passing the Turing test , that is, they are very difficult to distinguish from a human being. . In some parts of the world, companies are required to host conversational AI applications and store the related data on self-managed servers rather than subscribing to a cloud-based service.

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Join a streaming data source with CDC data for real-time serverless data analytics using AWS Glue, AWS DMS, and Amazon DynamoDB

AWS Big Data

A host with the installed MySQL utility, such as an Amazon Elastic Compute Cloud (Amazon EC2) instance, AWS Cloud9 , your laptop, and so on. The host is used to access an Amazon Aurora MySQL-Compatible Edition cluster that you create and to run a Python script that sends sample records to the Kinesis data stream.

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Modernize your ETL platform with AWS Glue Studio: A case study from BMS

AWS Big Data

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

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Break data silos and stream your CDC data with Amazon Redshift streaming and Amazon MSK

AWS Big Data

Using Amazon MSK, we securely stream data with a fully managed, highly available Apache Kafka service. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.