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Data Integration: Strategies for Efficient ETL Processes

Analytics Vidhya

Introduction In today’s data-driven landscape, businesses must integrate data from various sources to derive actionable insights and make informed decisions. With data volumes growing at an […] The post Data Integration: Strategies for Efficient ETL Processes appeared first on Analytics Vidhya.

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Introducing Precisely for Data Integrity

David Menninger's Analyst Perspectives

At the same time, organizations have become more disciplined about the data on which they rely to ensure it is robust, accurate and governed properly.

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DataOps: Managing the Process and Technology

David Menninger's Analyst Perspectives

For decades, data integration was a rigid process. Data was processed in batches once a month, once a week or once a day. Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to make informed business decisions.

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Embedded Data and Information Builders Summit 2019

David Menninger's Analyst Perspectives

Summit 2019, Information Builders' annual user conference, drew about 1000 attendees this year, including customers, partners and prospects all working with Information Builders' technologies. Under new leadership, Summit 2019 showcased the direction Information Builders is moving in the next couple of years.

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How AI and ML Can Transform Data Integration

Smart Data Collective

The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. Why is Data Integration a Challenge for Enterprises?

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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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How to manage data integration during an acquisition

CIO Business Intelligence

IT teams hold a lot of innovation power, as effective use of emerging technologies is crucial for informed decision-making and is key to staying a beat ahead of the competition. But adopting modern-day, cutting-edge technology is only as good as the data that feeds it. Innovation is crucial for business growth.