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

AWS Big Data

spark.sql.adaptive.enabled is enabled by default. .*) spark.sql.adaptive.enabled is enabled by default. 1X workers, and selecting an appropriate number of workers for processing your sample data. Enabling Glue auto scaling when applicable to automatically adjust resources based on workload.

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Compaction support for Avro and ORC file formats in Apache Iceberg tables in Amazon S3

AWS Big Data

Amazon S3 stores exabytes of Parquet data, and averages over 15 million requests per second to this data. While S3 Tables initially supported Parquet file type, as discussed in the S3 Tables AWS News Blog , the Iceberg specification extends to Avro, and ORC file formats for managing large analytic tables.

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Advance top 2025 data initiatives with analyst firm-recognized erwin by Quest

erwin

From increasing the strategic use of high-value data across organizations to advancing data and governance efforts to an AI-ready state, expectations are high for the contributions of data professionals in the year ahead. Thankfully, technology can help. and/or its affiliates in the U.S. All rights reserved.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Winkenbach said that his data showed that “deliveries in big cities are almost always improved by creating multi-tiered systems with smaller distribution centers spread out in several neighborhoods, or simply pre-designated parking spots in garages or lots where smaller vehicles can take packages the rest of the way.”

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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

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Accelerating Drug Discovery and Development with DataOps

DataKitchen

A typical R&D organization has many independent teams, and each team chooses a different technology platform. – Kurt Zimmer, AstraZeneca, Head of Data Engineering inside Data Enablement (CDO Summit 2021). Figure 1: A pharmaceutical company tests 50,000 compounds just to find one that reaches the market.

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Eight Top DataOps Trends for 2022

DataKitchen

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. As a result, enterprises will examine their end-to-end data operations and analytics creation workflows. The Hub-Spoke architecture is part of a data enablement trend in IT.