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New Data Horizons: Data Prep, Data Visualization, and Data Catalogs Are Ready for Prime Time

DataKitchen

The post New Data Horizons: Data Prep, Data Visualization, and Data Catalogs Are Ready for Prime Time first appeared on DataKitchen.

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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.

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Enhancing Data Catalog with AI

David Menninger's Analyst Perspectives

Organizations are collecting data from multiple data sources and a variety of systems to enrich their analytics and business intelligence (BI). But collecting data is only half of the equation. As the data grows, it becomes challenging to find the right data at the right time.

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Enhance query performance using AWS Glue Data Catalog column-level statistics

AWS Big Data

Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams.

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The Forrester Wave™: Machine Learning Data Catalogs, Q4 2020

When it comes to data catalogs, what separates the leaders from the laggards? Machine learning, according to Forrester Research, gives top catalogs an edge. This report compares the top 10 catalogs, demonstrating how machine learning drives efficiency.

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Amazon DataZone announces integration with AWS Lake Formation hybrid access mode for the AWS Glue Data Catalog

AWS Big Data

In this post, we share how this new feature helps you simplify the way you use Amazon DataZone to enable secure and governed sharing of your data in the AWS Glue Data Catalog. We also delve into how data producers can share their AWS Glue tables through Amazon DataZone without needing to register them in Lake Formation first.

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Do I Need a Data Catalog?

erwin

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. Three Types of Metadata in a Data Catalog.

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Dresner Advisory Services’ 2019 Wisdom of Crowds Data Catalog Market Study

The third annual Dresner Advisory Services’ 2019 Wisdom of Crowds® Data Catalog Market Study explores the strong link between data catalogs and successful BI usage. In the report, learn about the core set of capabilities that make data catalogs critical for self-service analytics.

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How to Foster Data Culture (with Data Intelligence Technology!)

Speaker: Aaron Kalb, Co-Founder and CDAO at Alation

Given that, it probably sounds like Silicon Valley-hubris to suggest that technology can create data culture. Throughout history, however, technology has sparked cultural change, and today, data intelligence technology, like data catalog software, is helping enterprises develop data cultures.

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How to Foster Data Culture (with Data Intelligence Technology!)

Speaker: Aaron Kalb, Co-Founder and CDAO at Alation

Given that, it probably sounds like Silicon Valley hubris to suggest that technology can create data culture. Throughout history, however, technology has sparked cultural change, and today, data intelligence technology, like data catalog software, is helping enterprises develop data cultures.

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How to Evaluate a Data Catalog

More data, more problems. Do you struggle to find, understand, and trust data in your daily work? A data catalog will make your work life easier -- and more productive. This guide offers handy tips for evaluating data catalogs. But where do you start?

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Using a Machine Learning Data Catalog to Reboot Data Governance

Speaker: David Loshin, President, Knowledge Integrity, Inc, and Sharon Graves, Enterprise Data - BI Tools Evangelist, GoDaddy

Traditional data governance fails to address how data is consumed and how information gets used. As a result, organizations are failing to effectively share and leverage data assets. To meet the needs of the business and the growing number of data consumers, many organizations like GoDaddy are rebooting data governance.

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Why Modern Data Challenges Require a New Approach to Governance

A healthy data-driven culture minimizes knowledge debt while maximizing analytics productivity. Agile Data Governance is the process of creating and improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit.