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Trends in Data Governance and Security: What to Prepare for in 2024

Dataversity

Organizations learned a valuable lesson in 2023: It isn’t sufficient to rely on securing data once it has landed in a cloud data warehouse or analytical store. As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems.

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How Today’s Digital-Native Businesses Are Securing the Open Data Lakehouse

Dataversity

An underlying architectural pattern is the leveraging of an open data lakehouse. That is no surprise – open data lakehouses can easily handle digital-era data types that traditional data warehouses were not designed for. Data warehouses are great at both analyzing and storing […].

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Data Vault 2.0: What You Need to Know

Astera

With its foundation rooted in scalable hub-and-spoke architecture, Data Vault 1.0 provided a framework for traceable, auditable, and flexible data management in complex business environments. Building upon the strengths of its predecessor, Data Vault 2.0 Aspect Data Vault 1.0 Data Vault 2.0 Data Vault 2.0

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Why CIOs Should Weave Data Fabrics Into Their Orgs

Domo

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access. The bottom line.

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 Top 5 Data Preparation Tools In 2023

Astera

Built-in connectivity for these sources allows for easier data extraction and integration, as users will be able to retrieve complex data with only a few clicks. Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. This was up 2.6%

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The Dangers of a Data Swamp (and How to Avoid Them)

Dataversity

Data is the currency of the future,” many experts have predicted. The 21st century has been characterized by the astounding amount of data we’ve gained access to. But what happens if this data isn’t properly stored? A data swamp begins to develop, and accessing that data becomes difficult and sometimes impossible.

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10 Key Data Mining Challenges in NLP and Their Solutions

Dataversity

Even as we grow in our ability to extract vital information from big data, the scientific community still faces roadblocks that pose major data mining challenges. In this article, we will discuss 10 key issues that we face in modern data mining and their possible solutions.