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Data Science Increases E-Commerce Profitability

The Data Administration Newsletter

Data science is no longer a cryptic term that has nothing to do with your industry. It is now widely applied across fields ranging from medicine and security to sales and e-commerce.

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The Complete Guide to Reverse ETL

Astera

This facilitates the real-time flow of data from data warehouse to reporting dashboards and operational analytics tools, accelerating data processing and providing business leaders with timely information. It establishes a data pipeline that extracts relevant data from the centralized data warehouse.

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

They tell you how big data helped them create a mark in today’s world. Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights.

Big Data 130
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SQL vs NoSQL: 5 Main Differences

Astera

Companies actively utilize NoSQL for various purposes such as storing unstructured data from user posts quickly and efficiently on social media websites, managing huge customer orders on online e-commerce stores, and enabling fast real-time analytics in AI applications.

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SQL vs NoSQL: 5 Main Differences

Astera

Companies actively utilize NoSQL for various purposes such as storing unstructured data from user posts quickly and efficiently on social media websites, managing huge customer orders on online e-commerce stores, and enabling fast real-time analytics in AI applications.

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The Change Data Capture (CDC) Guide for PostgreSQL

Astera

These are some of the major reasons for its impressive longevity—PostgreSQL has been around for over two decades and continues to rank among the most widely used relational databases for data management today. Your Master Data Management (MDM) System will operate more smoothly with Postgres CDC in effect.

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The Top 7 Data Aggregation Tools in 2024

Astera

The platform leverages a high-performing ETL engine for efficient data movement and transformation, including mapping, cleansing, and enrichment. Key Features: AI-Driven Data Management : Streamlines data extraction, preparation, and data processing through AI and automated workflows.