Remove Cost-Benefit Remove Metadata Remove Structured Data Remove Unstructured Data
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Do I Need a Data Catalog?

erwin

The data catalog is a searchable asset that enables all data – including even formerly siloed tribal knowledge – to be cataloged and more quickly exposed to users for analysis. Three Types of Metadata in a Data Catalog. Technical Metadata. Operational Metadata. for analysis and integration purposes).

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Data Lakes on Cloud & it’s Usage in Healthcare

BizAcuity

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. It is not just about data storage but also about data management too.

Data Lake 102
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Throwing Your Data Into the Ocean

Ontotext

According to this article , it costs $54,500 for every kilogram you want into space. It has been suggested that their Falcon 9 rocket has lowered the cost per kilo to $2,720. That means removing errors, filling in missing information and harmonizing the various data sources so that there is consistency.

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Ontotext Knowledge Graph Platform: The Modern Way of Building Smart Enterprise Applications

Ontotext

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

Streaming jobs constantly ingest new data to synchronize across systems and can perform enrichment, transformations, joins, and aggregations across windows of time more efficiently. For building such a data store, an unstructured data store would be best.

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Why Spreadsheets Are Your Secret Weapon for Efficient Data Governance

Alation

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. This blog focuses on governing spreadsheets that contain data, information, and metadata, and must themselves be governed. Data catalogs and spreadsheets are related in many ways.

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How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

AWS Big Data

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. We also discuss the benefits Ruparupa gained after the implementation. Let’s look at each main component in more detail.