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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. This is critical for fast-moving enterprises to augment data structures to support new use cases. This hampers agility and time to insight.

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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. Analytics Architect on Amazon Athena. He has been working on query optimizers for over a decade.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2002: Microsoft launches the.NET initiative. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. Data management solutions will need to keep up with the data demands of the next few years. More on Kubernetes soon.

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Why Easier Governance Is Superior Governance

Alation

Ventana found that the most time-consuming part of an organization’s analytic efforts is accessing and preparing data; this is the case for more than one-half (55%) of respondents. 1 Data catalogs can significantly reduce this burden by making it easier for analysts to find and access relevant information.