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Batch data ingestion into Amazon OpenSearch Service using AWS Glue

AWS Big Data

Organizations constantly work to process and analyze vast volumes of data to derive actionable insights. Effective data ingestion and search capabilities have become essential for use cases like log analytics, application search, and enterprise search. Each implementation is independent of the others.

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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

As regulatory scrutiny, investor expectations, and consumer demand for environmental, social and governance (ESG) accountability intensify, organizations must leverage data to drive their sustainability initiatives. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

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Amazon OpenSearch Service 101: Create your first search application with OpenSearch

AWS Big Data

Organizations today face the challenge of managing and deriving insights from an ever-expanding universe of data in real time. As data volumes grow, organizations increasingly struggle with fragmented monitoring tools that create critical visibility gaps and slow incident response times.

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Why Build a Data-Driven Culture?

Juice Analytics

Of these pillars, perhaps the most foundational and critical is the data culture. Research suggests that many organizations struggle to create this data culture and a healthy data culture is tied to overall performance. What does the data say? Another survey from NewVantage Partners underscores this point: Only 7.5%

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Utilize The Effectiveness Of Professional Executive Dashboards & Reports

datapine

Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway. We are indeed living in a time rich in invaluable digital data. Exclusive Bonus Content: Executive Dashboards & Reports: A Summary. What Is Executive Dashboard Reporting?

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How Novanta’s CIO mobilized its data-driven transformation

CIO Business Intelligence

When I joined, there was a lot of silo data everywhere throughout the organization, and everyone was doing their own reporting. It was also a lot of churning for the different groups to come up with those data on the weekly, monthly and quarterly basis.” But where to begin? “We That’s the first level of a cultural shift.

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9 Habits of Data Fluent Organizations — and How to Learn Them

Juice Analytics

With our book , resources and workshops, we’ve shared guidance about what it takes to become a data fluent organization. Most of all, it starts with cultural habits that get people focused on using data in their decision-making. Habit 2: Create a shared vocabulary for your data What is an “active user”?

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