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Enterprise data warehouse management News
September 03, 2020
New no-code data modeling and new text mining capabilities are featured in the latest platform update from Alteryx, which the vendor unveiled for general availability on Sept. 1.
August 26, 2020
The cloud data warehouse services vendor files for an IPO as it looks to build out and expand its data portfolio to help organizations manage and analyze data assets.
August 04, 2020
Startup launches with the general availability of a converged platform that offers the promise of integrating multiple data management and analysis steps into a single offering.
July 28, 2020
Naveego's latest platform update introduces a new user interface that looks to make it easier for users to integrate different data sources while ensuring data quality.
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Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework. Continue Reading
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Ensuring quality data management and analytics comes from following best practices, proper commitment from your organization and sticking with the plan. Continue Reading
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Investing in training employees on proper data gathering and management practices is crucial for healthcare organizations seeking to ensuring data quality and patient care. Continue Reading
There's been a surge of movement to the cloud in recent years, but there are still some benefits to an on-site database. Read on for a comparison of on-site and cloud platforms. Continue Reading
From understanding a model's expected goal to factoring in subject matter expertise, experts talk about the best ways to improve your feature engineering. Continue Reading
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There are many issues enterprises face in their data privacy programs. Read on for how to address the most common three found across organizations. Continue Reading
Managing the data contained in your enterprise data lake presents many challenges. From the amount of data to data inconsistencies, here are some solutions to common issues. Continue Reading
Consultant Anne Marie Smith details five challenges that an organization may face in applying data governance policies to data lakes and offers advice on how to overcome them. Continue Reading