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2024 Data Management Crystal Ball: Top 4 Emerging Trends
These are my predictions based on my personal experiences, recent research and reports from leading platforms.
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Data Masking: The Core of Ensuring GDPR and other Regulatory Compliance Strategies
This article has provided an overview of data masking and its importance in ensuring compliance with GDPR and other global regulations.
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Tapping into the Potential of Data Products in 2023
Learn how data can be treated as a product and how it can be used to derive value.
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Data Mesh Architecture: Reimagining Data Management
The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.
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Data Mesh & Its Distributed Data Architecture
Going forward, data professionals have found a new way to address the scalability of sources through data mesh.
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Four Big Data Trends for 2018
Curious about the future of Big Data and AI? Here’s what the trends have it in 2018 for innovations.
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How will Big Data companies monetize data in 2018?
In today’s data driven economy, Data is a strategic asset to a company and data monetization is prime focus of many companies. Let’s see how data monetization will be achieved in 2018.
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How HR Managers Use Data Science to Manage Talent for Their Companies
Data sciences can also be used by HR manager to create several estimates like the investment on talent pool, cost per hire, cost on training, and cost per employee. It provides better techniques for optimization, forecasting, and reporting.
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Importance of Data Science for IoT business
Here, we have explored how IoT businesses can leverage data science for IT strategies, service analysis stack, capacity planning, hardware maintenance, competitive advantages and anomaly detection. Along with, the different application in multiple IoT industries.
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