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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

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. QuickSight periodically runs Amazon Athena queries to load query results to SPICE and then visualize the latest metric data. You can deploy the end-to-end solution to visualize and analyze trends of the observability metrics.

Metrics 110
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Using Text Mining on Reviews Data to Generate Business Insights!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. There is a host of useful information in such unstructured data that we can discover. Introduction Textual data from social media posts, customer feedback, and reviews are valuable resources for any business.

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How I Won My First Public Data Science Competition?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. It was sponsored by Google Developers and hosted on Kaggle. Source: Author About the Competition The competition was to predict the likelihood of having Autism. The data was collected from people that filled out an app form.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

We have already given you our top data visualization books , top business intelligence books , and best data analytics books. A host of notable brands and retailers with colossal inventories and multiple site pages use SQL to enhance their site’s structure functionality and MySQL reporting processes.

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Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight

AWS Big Data

A database replication service such as AWS Database Migration Service (AWS DMS) can replicate the data from your source systems to Amazon Simple Storage Service (Amazon S3), which commonly hosts the storage layer of the data lake. Then we can query the data with Amazon Athena visualize it in Amazon QuickSight. Choose Visualize.

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Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

For example, you can build visualizations on top of Amazon Redshift and embed them within applications to provide outstanding analytics experiences for end-users. BYOR model In cases where the customer hosts a Redshift data warehouse and wants to run analytics in their own data platform without moving data out, you use the BYOR model.

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Enable cost-efficient operational analytics with Amazon OpenSearch Ingestion

AWS Big Data

The raw data stored in Amazon S3 can be inexpensively retained for an extended period of time using tiered storage and queried using the Athena query engine, and also visualized using Amazon QuickSight or other data visualization services. Set up the VPC flow logs to publish logs to an S3 bucket in text format.

Analytics 125