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Cloud Data Warehouse: A Comprehensive Guide

Astera

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

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Finance Data Warehouse for Reporting and Analytics

Astera

It serves as the foundation of modern finance operations and enables data-driven analysis and efficient processes to enhance customer service and investment strategies. This data about customers, financial products, transactions, and market trends often comes in different formats and is stored in separate systems.

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The Need for Speed: Faster Data Access as Competitive Edge

Sisense

They want data in the moment, on the go, and personalized. As a result, IDC predicts that nearly 30% of the global datasphere will be real-time by 2025. What’s concerning is that, despite recognizing this, just 1% of data center engineers believe their data centers are updated ahead of current needs.

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Breaking Down Data Silos: From Fragmented Data to Consolidated Insights

Astera

Did you know that the amount of data generated worldwide is predicted to reach a staggering 180 zettabytes by 2025? While this wealth of data can help uncover valuable insights and trends that help businesses make better decisions and become more agile, it can also be a problem. Ready to unlock the true value of your data?

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ETL Batch Processing: A Comprehensive Guide

Astera

Did you know that the world is creating more data than ever before? If you want to know the exact figures, data is estimated to grow beyond a staggering 180 zettabytes by 2025! ETL refers to a process used in data integration and warehousing. Transform: Clean, validate, and reformat the data for consistency and quality.

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ETL Batch Processing: A Comprehensive Guide

Astera

Did you know that the world is creating more data than ever before? If you want to know the exact figures, data is estimated to grow beyond a staggering 180 zettabytes by 2025! ETL refers to a process used in data warehousing and integration. Transform: Clean, validate, and reformat the data for consistency and quality.

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Unstructured Data Challenges for 2023 and their Solutions

Astera

Challenge # 1: Inability to Process Growing Data Volumes. The volume of global data is projected to rise to 175 Zettabytes by 2025. This presents the challenge of accurately capturing this data in a timely manner. Enterprises need to capture and store unstructured data to extract valuable insights.