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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

In-place data upgrade In an in-place data migration strategy, existing datasets are upgraded to Apache Iceberg format without first reprocessing or restating existing data. In this method, the metadata are recreated in an isolated environment and colocated with the existing data files. This method shadows the source dataset in batches.

Data Lake 100
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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

However, Data Fabric is not an application or software package but a set of design principles and strategies to deal with the very real and concrete truth that centralized data storage and control is gone. This means having the ability to define and relate all types of metadata. Data Fabric hit the Gartner top ten in 2019.

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Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS

AWS Big Data

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. These datasets are distributed across the world and hosted for public use. Data scientists have access to the Jupyter notebook hosted on SageMaker. The OpenSearch Service domain stores metadata on the datasets connected at the Regions.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

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Foote Partners: bonus disparities reveal tech skills most in demand in Q3

CIO Business Intelligence

There were also a host of other non-certified technical skills attracting pay premiums of 17% or more, way above those offered for certifications, and many of them centered on management, methodologies and processes or broad technology categories rather than on particular tools.

Testing 98
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Data Governance Maturity and Tracking Progress

erwin

erwin recently hosted the third in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Beginning strategy processes. This webinar will discuss how to answer critical questions through data catalogs and business glossaries, powered by effective metadata management.

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Business Intelligence for Fairs, Congresses and Exhibitions

Smart Data Collective

This eliminates guesswork when coming up with business strategies. This way, you can make appropriate and accurate changes to your strategy and product based on the findings. it offers data connectors, visualization layers, and hosting all in one package, making it ideal for teams that are data-driven with limited resources.