Remove 2012 Remove Data Processing Remove Optimization Remove Testing
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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

Additionally, it enables cost optimization by aligning resources with specific use cases, making sure that expenses are well controlled. In the second account, Amazon MWAA is hosted in one VPC and Redshift Serverless in a different VPC, which are connected through VPC peering.

Metadata 101
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Introducing Amazon MSK as a source for Amazon OpenSearch Ingestion

AWS Big Data

arn: " arn:aws:kafka:us-west-2:XXXXXXXXXXXX:cluster/msk-prov-1/id " sink: - opensearch: # Provide an AWS OpenSearch Service domain endpoint # hosts: [ " [link] " ] aws: # Provide a Role ARN with access to the domain. OpenSearch host and index – Specifies the OpenSearch domain URL and where the index should write.

Testing 103
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The mainframe is dying: Long live the mainframe application!

CIO Business Intelligence

Fujitsu remains very much interested in the mainframe market, with a new model still on its roadmap for 2024, and a move under way to “shift its mainframes and UNIX servers to the cloud, gradually enhancing its existing business systems to optimize the experience for its end-users.”

Sales 128
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Use Snowflake with Amazon MWAA to orchestrate data pipelines

AWS Big Data

Customers rely on data from different sources such as mobile applications, clickstream events from websites, historical data, and more to deduce meaningful patterns to optimize their products, services, and processes. If you’re testing on a different Amazon MWAA version, update the requirements file accordingly.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

This method uses GZIP compression to optimize storage consumption and query performance. You can test this solution yourself using the AWS Samples GitHub repository. Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted.

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Run Spark SQL on Amazon Athena Spark

AWS Big Data

Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer. With support in Athena for Apache Spark, you can use both Spark SQL and PySpark in a single notebook to generate application insights or build models.

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Dresner’s Point: Are You Ready for the Mobile BI Diamond?

Howard Dresner

Before the perfect storm, our tweetchat tribe (comprised of customers, vendors and consultants/analysts) were of the opinion that the growing “app” mentality for “cool stuff” among consumers and the easy-to-consume info in mobile apps could end up increasing trust and thus lead to less testing and faster releases.