Remove 2012 Remove Data Governance Remove Data Integration
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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Use ML to unlock new data types—e.g., Consider deep learning, a specific form of machine learning that resurfaced in 2011/2012 due to record-setting models in speech and computer vision. Not surprisingly, data integration and ETL were among the top responses, with 60% currently building or evaluating solutions in this area.

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Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation

AWS Big Data

In this post, we delve into the key aspects of using Amazon EMR for modern data management, covering topics such as data governance, data mesh deployment, and streamlined data discovery. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated.

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Seamless integration of data lake and data warehouse using Amazon Redshift Spectrum and Amazon DataZone

AWS Big Data

With Amazon DataZone, individual business units can discover and directly consume these new data assets, gaining insights to a holistic view of the data (360-degree insights) across the organization. The Central IT team manages a unified Redshift data warehouse, handling all data integration, processing, and maintenance.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

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10 Years Later: Who’s the GOAT of Data Catalogs?

Alation

December 2012: Alation forms and goes to work creating the first enterprise data catalog. Later, in its inaugural report on data catalogs, Forrester Research recognizes that “Alation started the MLDC trend.”. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report.

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Handle UPSERT data operations using open-source Delta Lake and AWS Glue

AWS Big Data

On the AWS Glue console, under Data Integration and ETL in the navigation pane, choose Jobs. load("s3://"+ args['s3_bucket']+"/fullload/") sdf.printSchema() # Write data as DELTA TABLE sdf.write.format("delta").mode("overwrite").save("s3://"+ Vivek Singh is Senior Solutions Architect with the AWS Data Lab team.

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Enrich your AWS Glue Data Catalog with generative AI metadata using Amazon Bedrock

AWS Big Data

By harnessing the capabilities of generative AI, you can automate the generation of comprehensive metadata descriptions for your data assets based on their documentation, enhancing discoverability, understanding, and the overall data governance within your AWS Cloud environment. The following is an example policy.

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