Remove 2022 Remove Data Analytics Remove Data Governance Remove Data Lake
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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

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

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Choosing an open table format for your transactional data lake on AWS

AWS Big Data

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 109
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Pillars of Knowledge, Best Practices for Data Governance

Cloudera

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy.

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2021 Gift Giving Guide for Data Nerds

DataKitchen

Data Mesh: Delivering Data-Driven Value at Scale , by Zhamak Dehghani. This book is not available until January 2022, but considering all the hype around the data mesh, we expect it to be a best seller. the data scientist, the engineer, and the operations engineer). Author Laura B.

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UAB IT helps fuel genomic breakthroughs

CIO Business Intelligence

Next up: AI and data lake decisions. To that end, UAB’s next step is to tackle big decisions around expanding its AI and data analytics platforms, says Carver, who is not handling the long-term planning alone. But the work in support of the university’s research endeavors is rewarding.

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How data stores and governance impact your AI initiatives

IBM Big Data Hub

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. And that makes sense. Learn more about IBM watsonx 1.

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Augmented data management: Data fabric versus data mesh

IBM Big Data Hub

The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. Read: The first capability of a data fabric is a semantic knowledge data catalog, but what are the other 5 core capabilities of a data fabric? 3 March 2022.