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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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Enabling Agility with Real-Time Data

Actian

Historical reports and batch data from last night or last week don’t provide leaders with the information and actionable insights they need to lead the company effectively – they need real-time data (and plenty of it!). Agility requires real-time data. What it means to be agile.

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

Furthermore, it has been estimated that by 2025, the cumulative data generated will triple to reach nearly 175 zettabytes. Demands from business decision makers for real-time data access is also seeing an unprecedented rise at present, in order to facilitate well-informed, educated business decisions.

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ETL vs. ELT: A Comprehensive Comparison and Guide to Modern Data Integration Strategies

Analysts Corner

In today’s data-driven world, organizations increasingly rely on large volumes of data from various sources to make informed decisions. This article will provide an in-depth and up-to-date comparison of ETL and ELT, their advantages and disadvantages, and guidance for choosing the right data integration strategy in 2023.

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Real-Time Connected Data Warehouse – Operational Analytics made easy

Actian

Your users are happy, but management is starting to ask questions about what’s next and how they can pull together the data from across different systems to drive real-time decision making across your operations. You need a real-time connected data warehouse. To learn more, visit www.actian.com.

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Best Azure ETL Tools For 2024

Astera

Azure SQL Data Warehouse, now called Azure Synapse Analytics, is a powerful analytics and BI platform that enables organizations to process and analyze large volumes of data in a centralized place. However, this data is often scattered across different systems, making it difficult to consolidate and utilize effectively.

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Big Data Sets New Standards In Stream Processing For Emerging Markets

Smart Data Collective

Stream processing is a platform allowing organizations to enforce rules and procedures to examine and analyze real-time data. In other words, it enables your business to review the data in all stages, such as where it has been, in motion, and where it’s going. How Can Big Data Stream Processing Help Emerging Markets?

Big Data 203