Remove 2022 Remove Big Data Remove Data Architecture Remove Data Governance
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AWS Lake Formation 2022 year in review

AWS Big Data

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

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Join us at the Iceberg Summit 2024

Cloudera

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

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IBM named a leader in the 2022 Gartner® Magic Quadrant™ for Data Integration Tools

IBM Big Data Hub

Whether it be batch (ETL or ELT), virtualization, replication, data preparation, real-time or event driven, you need flexible and augmented data pipelines to create and deliver data processes across your organization. Remote runtime data integration as-a-service execution capabilities for on-premises and multi-cloud execution.

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The hidden history of Db2

IBM Big Data Hub

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. When we look ahead, that same architectural foundation we have spent decades perfecting and innovating is also bringing Db2 into future. Data security & governance .

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Peloton embraces Amazon Redshift to unlock the power of data during changing times

AWS Big Data

million at the end of 2022. As Peloton’s business continued to evolve amid a changing macroeconomic environment, it was essential that it could make smart business decisions quickly, and one of the best ways to do that was to harness insights from the huge amount of data that it had been gathering over recent years.

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Build a transactional data lake using Apache Iceberg, AWS Glue, and cross-account data shares using AWS Lake Formation and Amazon Athena

AWS Big Data

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture.