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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Businesses are constantly evolving, and data leaders are challenged every day to meet new requirements. Customers are using AWS and Snowflake to develop purpose-built data architectures that provide the performance required for modern analytics and artificial intelligence (AI) use cases.

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The Wide World of Data: Enter the Datasphere

Sisense

Data’s more influential than ever, but just how much data is there? In The Wide World of Data , we dig into astonishing facts and trends about the size and growth of the datasphere, how data is being used, and how it truly makes up the entire world around us. But just how significant is the data revolution, really?

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Key Considerations When Managing a Multivendor IT Environment

CIO Business Intelligence

It’s no longer driven by hardware technology, which had a predictable life cycle to it. Now that rate of change is driven more by software. This is especially true with the rapid explosion of “Edge Computing” and “Edge Data.” . Are their teams up to the task? It can be done. About Marianne Talbot.

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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Failure to share data and results from randomized clinical trials means a missed opportunity to contribute to systematic reviews and meta-analyses as well as a lack of lesson-sharing with the biopharma community. AI can also empower trial managers and executives with the data to make strategic decisions.

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Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability

Sisense

Especially when dealing with business data, trust in the figures is an essential element of every transaction. A reputation for stability and accuracy is critical in the fintech industry, dealing as it does with sensitive, high-impact data and security challenges. For analytics teams, trust is hard to gain and easy to lose.

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What Is DataOps? Definition, Principles, and Benefits

Alation

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively. What exactly is DataOps ?