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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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What Is Change Data Capture (CDC): Methods, Benefits, and Challenges

Astera

For instance, a database (SQL Server) of an e-commerce website contains information about customers who place orders on the website. Without CDC, periodic updates to the customer information will involve extracting the entire dataset, processing it, and reloading it into the database. How C hange D ata C apture Works?

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 Top 5 Data Preparation Tools In 2023

Astera

An agile tool that can easily adopt various data architecture types and integrate with different providers will increase the efficiency of data workflows and ensure that data-driven insights can be derived from all relevant sources. Adaptability is another important requirement.

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Build Data Warehouse with Concentrated Teams

Astera

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Res ource Requirements .

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Data Warehouse vs. Database: Understanding the Differences

Astera

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. While both are meant for storing and retrieving data, they serve different purposes and have distinct characteristics.

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What is Streaming ETL?

Astera

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.

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ETL Batch Processing: A Comprehensive Guide

Astera

If you want to know the exact figures, data is estimated to grow beyond a staggering 180 zettabytes by 2025! Handling all that information needs robust and efficient processes. ETL—Extract, Transform, Load— is a pivotal mechanism for managing vast amounts of information. That’s where ETL comes in.