Remove Cost-Benefit Remove Data Architecture Remove Data Processing Remove Unstructured Data
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5 misconceptions about cloud data warehouses

IBM Big Data Hub

The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery. However, a more detailed analysis is needed to make an informed decision.

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

Ontotext

Sumit started his talk by laying out the problems in today’s data landscapes. One of the major challenges, he pointed out, was costly and inefficient data integration projects. Most organisations are missing this ability to connect all the data together. He shared their approach to knowledge graph building and architecture.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Components of a Data Mesh. How CDF enables successful Data Mesh Architectures.

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