Remove 2024 Remove Data Lake Remove Data Transformation
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Introducing simplified interaction with the Airflow REST API in Amazon MWAA

AWS Big Data

123} ▶ Pre task execution logs [2024-10-21, 16:56:12 UTC] {subprocess.py:63} 63} INFO - Tmp dir root location: /tmp [2024-10-21, 16:56:12 UTC] {subprocess.py:75} 123} ▶ Pre task execution logs [2024-10-21, 16:56:12 UTC] {subprocess.py:63} 63} INFO - Tmp dir root location: /tmp [2024-10-21, 16:56:12 UTC] {subprocess.py:75}

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Enriching metadata for accurate text-to-SQL generation for Amazon Athena

AWS Big Data

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. Then, invoke the model.

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Amazon Q data integration adds DataFrame support and in-prompt context-aware job creation

AWS Big Data

Amazon Q data integration , introduced in January 2024, allows you to use natural language to author extract, transform, load (ETL) jobs and operations in AWS Glue specific data abstraction DynamicFrame. In this post, we discuss how Amazon Q data integration transforms ETL workflow development.

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Amazon Redshift data ingestion options

AWS Big Data

Amazon Redshift , a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. If storing operational data in a data warehouse is a requirement, synchronization of tables between operational data stores and Amazon Redshift tables is supported.

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Optimize data layout by bucketing with Amazon Athena and AWS Glue to accelerate downstream queries

AWS Big Data

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

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CIO 100 Award winners drive business results with IT

CIO Business Intelligence

The following 10 award-winning projects showcase the impressive power of IT in the enterprise today and the ingenuity of modern CIOs and their teams, serving as representatives for the cohort of 2024 honorees. The end result, completed in early 2024 and now fully operational, is the data center EMR mirrored in cloud infrastructure.

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Melting the ice — How Natural Intelligence simplified a data lake migration to Apache Iceberg

AWS Big Data

Many organizations turn to data lakes for the flexibility and scale needed to manage large volumes of structured and unstructured data. Recently, NI embarked on a journey to transition their legacy data lake from Apache Hive to Apache Iceberg. NIs leading brands, Top10.com