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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

Data Firehose uses an AWS Lambda function to transform data and ingest the transformed records into an Amazon Simple Storage Service (Amazon S3) bucket. An AWS Glue crawler scans data on the S3 bucket and populates table metadata on the AWS Glue Data Catalog. For now, let’s filter with the job name multistage-demo.

Metrics 104
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How Data Governance Protects Sensitive Data

erwin

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business. erwin Data Intelligence. Request Demo.

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Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS

AWS Big Data

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. OutputValue" --output text) Connect to the demo EKS cluster: echo `aws cloudformation describe-stacks --stack-name $stack_name --query "Stacks[0].Outputs[?starts_with(OutputKey,'eksclusterEKSConfig')].OutputValue"

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Fivetran Modern Data Stack Conference 2023: Key Takeaways

Alation

In “The modern data stack is dead, long live the modern data stack!” the presenters elaborated on the common pain points of the cloud data warehouse today and predicted what it may look like in the future. So, how can a data catalog support the critical project of building data pipelines?

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. Less data gets decompressed, deserialized, loaded into memory, run through the processing, etc.

Metadata 105
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What is Data Mapping?

Jet Global

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format.

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What Is Embedded Analytics?

Jet Global

Show how embedded analytics will enhance sales and marketing through better demos and shorter sales cycles. Discuss how embedded analytics help their team to deliver better sales demos, decrease sales cycles, box out the competition, and drive new revenue. Explain how embedded analytics can deliver the capabilities customers need.