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When A Data Catalog Is Not Just a Data Catalog

Data Virtualization

These are the elements that, followed in sequence, enables the use of data and information to generate value, value that can be realized in accordance with the. The post When A Data Catalog Is Not Just a Data Catalog appeared first on Data Virtualization blog.

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Governing data in relational databases using Amazon DataZone

AWS Big Data

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Plus, AI can also help find key insights encoded in data.

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

Do not close the door on me when I am so close to giving you an explanation. Do not close the door on me when I am so close to giving you an explanation. What you have just experienced is a plethora of heteronyms. Heteronyms are words that are spelled identically but have different meanings when pronounced differently.

Strategy 266
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3 commandments that should drive every API strategy

CIO Business Intelligence

According to secondary sources, this mandate included two strategic requirements that any IT leader should consider when seeking to maximize the value of their development teams’ efforts. After all, just as with APIs, when one group of people provides a service to other groups, promises must be clear, and boundaries respected.

Strategy 134
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Run Spark SQL on Amazon Athena Spark

AWS Big Data

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data. An Athena Spark workgroup configured for use.

Data Lake 101
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Best Practices for Data Catalog Implementation

Octopai

In an era where data is often referred to as the new oil, having a well-organized and easily accessible data catalog is no longer a luxury but a necessity as organizations deal with the deluge of too much data (data bloatedness) coming from every system and landscape.