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Ensure Success with Trusted Data When Moving To The Cloud

Precisely

As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum. Forbes reports that 84% of CEOs are concerned about the integrity of the data they use to make important decisions every day.

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The power of remote engine execution for ETL/ELT data pipelines

IBM Journey to AI blog

According to International Data Corporation (IDC), stored data is set to increase by 250% by 2025 , with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. Organizations can harness the full potential of their data while reducing risk and lowering costs.

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How to Build ETL Data Pipeline in ML

The MLOps Blog

We also discuss different types of ETL pipelines for ML use cases and provide real-world examples of their use to help data engineers choose the right one. What is an ETL data pipeline in ML? Moreover, ETL pipelines play a crucial role in breaking down data silos and establishing a single source of truth.

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A Look Inside the Modern Analytics Stack

Dataversity

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

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What is the Snowflake Data Cloud and How Much Does it Cost?

phData

Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. As a fundamental piece of the modern data stack , Snowflake is helping thousands of businesses store, transform, and derive insights from their data easier, faster, and more efficiently than ever before.

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What Is Data Modernization? 5 Benefits Worth Knowing

Alation

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. Data Pipeline Automation. Advanced Tooling.