Remove 2025 Remove Data Modelling Remove Data Warehouse
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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 Benefits of Using a Data Warehouse for Healthcare Data Management

Astera

In the world of medical services, large volumes of healthcare data are generated every day. Currently, around 30% of the world’s data is produced by the healthcare industry and this percentage is expected to reach 35% by 2025. The sheer amount of health-related data presents countless opportunities.

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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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6 Benefits of Adopting a Cloud Data Warehouse for Your Organization

Astera

For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker. What is a cloud data warehouse? Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

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The Rise of the Data Team

Sisense

You know data is growing quickly every day, but did you know that 90% of all existing data has been generated in the last two years alone, and it’s anticipated that the global datasphere will expand from about 44 zettabytes (ZB) in 2020 to 175 ZB by 2025 ? Everyone wins!

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Structured Vs. Unstructured Data

The BAWorld

Variety in Data. IDC predicts that the Global Data sphere will grow from 33 Zettabytes (ZB) in 2018 to 175 ZB by 2025! We generate enormous amounts of a variety of data every day. Non-technical users can also work easily with structured data. Structured Data Example. Unstructured Data.

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Unstructured Data Challenges for 2023 and their Solutions

Astera

It’s one of the three core data types, along with structured and semi-structured formats. Examples of unstructured data include call logs, chat transcripts, contracts, and sensor data, as these datasets are not arranged according to a preset data model. This makes managing unstructured data difficult.