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Unlock innovation in data and AI at AWS re:Invent 2023

AWS Big Data

For organizations seeking to unlock innovation with data and AI, AWS re:Invent 2023 offers several opportunities. Attendees will discover services, strategies, and solutions for tackling any data challenge. re:Invent offers a close look at how organizations can use these data services to transform their business.

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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. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. Looking at the Skewness Job per Job visualization, there was spike on November 1, 2023.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

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Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 2: AWS Glue Studio Visual Editor

AWS Big Data

Expanding on the functionality we announced at AWS re:Invent 2022, AWS Glue now natively supports Hudi, Delta Lake and Iceberg through the AWS Glue Studio visual editor. In this post, we demonstrate how to ingest data stored in Hudi using the AWS Glue Studio visual editor. Choose Visual with a source and target.

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics

AWS Big Data

For any modern data-driven company, having smooth data integration pipelines is crucial. These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. The following is a visual representation of an example job where the number of workers is 10.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

Having visually appealing graphics can also increase user adoption. Advanced analytics capabilities : The tool should be able to analyze data and identify patterns, as well as forecast future events with complex forecasting algorithms, going beyond simple mathematical calculations.

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Load data incrementally from transactional data lakes to data warehouses

AWS Big Data

In this post, we discuss different architecture patterns to keep data in sync and up to date between data lakes built on open table formats and data warehouses such as Amazon Redshift. Various data stores are supported in AWS Glue; for example, AWS Glue 4.0 The data is publicly accessible through an S3 bucket.

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