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5 Considerations for Choosing the Right Data Center

Smart Data Collective

Security is also an essential consideration for data centers. For example, healthcare providers who handle sensitive patient data require data centers that are explicitly HIPAA-compliant. PCI-DSS compliance, on the other hand, is required for any organization that handles the transfer of credit card details.

Big Data 268
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Big Data Security: Protecting Your Valuable Assets

Astera

Big Data Security: Protecting Your Valuable Assets In today’s digital age, we generate an unprecedented amount of data every day through our interactions with various technologies. The sheer volume, velocity, and variety of big data make it difficult to manage and extract meaningful insights from.

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A Guide to Building Better Data Products

Juice Analytics

One of our clients has data on the learning activities of more than 60% of all healthcare workers. But before getting down to designing the data product, you'll want to get the right people in place. Ask yourself: Is IT on board to provide development support, data access and data security resources and sign-off?

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How to Build a Data Pipeline: A Step-by-Step Guide

Astera

Therefore, it is imperative for your organization to invest in appropriate tools and technologies to streamline the process of building a data pipeline. This blog details how to build a data pipeline effectively step by step, offering insights and best practices for a seamless and efficient development process.

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The Top 7 Data Aggregation Tools in 2024

Astera

They gather, process, and analyze data from diverse sources. From handling modest data processing tasks to managing large and complex datasets, these tools bolster an organization’s data infrastructure. What are Data Aggregation Tools? Best for: Data analysts and businesses needing a robust data aggregation tool.

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Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

Astera

It ensures that data from different departments, like patient records, lab results, and billing, can be securely collected and accessed when needed. Selecting the right data architecture depends on the specific needs of a business. Requires domain-specific governance frameworks to maintain data quality and standards.