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Maximize your data dividends with active metadata

IBM Big Data Hub

Metadata management performs a critical role within the modern data management stack. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities. This puts into perspective the role of active metadata management. What is Active Metadata management?

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AWS Lake Formation 2022 year in review

AWS Big Data

In this post, we are excited to summarize the features that the AWS Glue Data Catalog, AWS Glue crawler, and Lake Formation teams delivered in 2022. In the rest of this post, we are happy to share the progress we made in 2022. In November 2022, Lake Formation introduced version 3 of its cross-account sharing feature.

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Cloudera Named a Leader in the 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems (DBMS)

Cloudera

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Cloudera’s platform enables teams to burst compute intensive machine learning workloads to the cloud. Get a complimentary copy of the Gartner 2022 Magic Quadrant for Cloud DBMS .

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IBM named a leader in The Forrester Wave™: Enterprise Data Fabric, Q2 2022

IBM Big Data Hub

Data governance – Some of the most exciting governance capabilities of the IBM Data fabric include automatically applying metadata to new datasets using machine learning as well as auto-generated data quality assessments and scoring and AI-based dataset recommendations. Providing the semantic. Providing the semantic.

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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Iceberg tables maintain metadata to abstract large collections of files, providing data management features including time travel, rollback, data compaction, and full schema evolution, reducing management overhead. Snowflake writes Iceberg tables to Amazon S3 and updates metadata automatically with every transaction.

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Achieve your AI goals with an open data lakehouse approach

IBM Big Data Hub

from 2022 to 2026. In fact, according in an IDC DataSphere study, IDC estimated that 10,628 exabytes (EB) of data was determined to be useful if analyzed, while only 5,063 exabytes (EB) of data (47.6%) was analyzed in 2022. Why does AI need an open data lakehouse architecture? All of this supports the use of AI.

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

CIO Business Intelligence

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.