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Simplify data integration with AWS Glue and zero-ETL to Amazon SageMaker Lakehouse

AWS Big Data

With the growing emphasis on data, organizations are constantly seeking more efficient and agile ways to integrate their data, especially from a wide variety of applications. We take care of the ETL for you by automating the creation and management of data replication. Glue ETL offers customer-managed data ingestion.

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Companies to shift AI goals in 2025 — with setbacks inevitable, Forrester predicts

CIO Business Intelligence

Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Forrester said most technology executives expect their IT budgets to increase in 2025. Others won’t — and will come up against the limits of quick fixes.”

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Author visual ETL flows on Amazon SageMaker Unified Studio (preview)

AWS Big Data

From the Unified Studio, you can collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics. This experience includes visual ETL, a new visual interface that makes it simple for data engineers to author, run, and monitor extract, transform, load (ETL) data integration flow.

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Introducing generative AI upgrades for Apache Spark in AWS Glue (preview)

AWS Big Data

Keerthi Chadalavada is a Senior Software Development Engineer at AWS Glue, focusing on combining generative AI and data integration technologies to design and build comprehensive solutions for customers’ data and analytics needs. option("recursiveFileLookup", "true").option("path", option("path", books_input_path).parquet(books_input_path)

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A Guide to the Six Types of Data Quality Dashboards

DataKitchen

However, not all data quality dashboards are created equal. Their design and focus vary significantly depending on an organization’s unique goals, challenges, and data landscape. This blog delves into the six distinct types of data quality dashboards, examining how each fulfills a specific role in ensuring data excellence.

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Recap of Amazon Redshift key product announcements in 2024

AWS Big Data

To generate accurate SQL queries, Amazon Bedrock Knowledge Bases uses database schema, previous query history, and other contextual information that is provided about the data sources. Launch summary Following is the launch summary which provides the announcement links and reference blogs for the key announcements.

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The next generation of Amazon SageMaker: The center for all your data, analytics, and AI

AWS Big Data

In doing so, a unified view across all their data is required—one that breaks down data silos and simplifies data usage for teams, without sacrificing the depth and breadth of capabilities that make AWS tools unbelievably valuable. We’re excited to see what you’ll build next!