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Why Good Data Management Is Essential to Data Analytics

Insight Software

Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models. JSMITH01”).

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The Complete Guide to Reverse ETL

Astera

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

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OLTP and OLAP: Two Sides of the Same Data Coin?

Astera

These transactions typically involve inserting, updating, or deleting small amounts of data. Normalized data structure: OLTP databases have a normalized data structure. This means that they use a data model that minimizes redundancy and ensures data consistency. through a built-in OData service.

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What is a Cloud Database? Types & Benefits Explained

Astera

his setup allows users to access and manage their data remotely, using a range of tools and applications provided by the cloud service. Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses. There are several types of NoSQL databases, including document stores (e.g.,

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What is a database?

Astera

The documents can vary in structure within the same collection, allowing for easy unstructured or semi-structured data storage. These databases are ideal for management systems, such as e-commerce applications, and scenarios that require the storage of complex, nested data structures for easy and fast updates.

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A Complete Guide to Data Analytics

Astera

Variability: The inconsistency of data over time, which can affect the accuracy of data models and analyses. This includes changes in data meaning, data usage patterns, and context. Visualization: The ability to represent data visually, making it easier to understand, interpret, and derive insights.