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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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The 4 Common Challenges of Predictive Analytics Solutions

Insight Software

Predictive analytics is a branch of analytics that uses historical data, machine learning, and Artificial Intelligence (AI) to help users act preemptively. Predictive analytics answers this question: “What is most likely to happen based on my current data, and what can I do to change that outcome?”

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A Complete Guide to Data Analytics

Astera

Data analytics has several components: Data Aggregation : Collecting data from various sources. Data Mining : Sifting through data to find relevant information. Statistical Analysis : Using statistics to interpret data and identify trends. What are the 4 Types of Data Analytics?

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

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Data Science vs Data Analytics: Key Differences

Astera

Data Analytics is generally more focused and tends to answer specific questions based on past data. It’s about parsing data sets to provide actionable insights to help businesses make informed decisions. Data integration combines data from many sources into a unified view.

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Customer 360: What It Is and How to Implement It?

Astera

Predictive Analytics Using a holistic view provides a wealth of data that can be analyzed to predict future customer behavior and trends. Netflix , for example, uses predictive analytics to recommend shows and movies based on a user’s viewing history and preferences.

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What is a Data Pipeline?

Astera

Machine Learning and AI Data pipelines provide a seamless flow of data for training machine learning models. This enables organizations to develop predictive analytics, automate processes, and unlock the power of artificial intelligence to drive their business forward.