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Data Model Development Using Jinja

Sisense

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data modeling organizes and transforms data.

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

Astera

In today’s data-driven world, businesses and organizations rely on databases to manage their operations and make strategic decisions. In this blog, we will explore the differences between the OLTP and OLAP systems and how they are used in various industries. Two popular database management systems are OLTP and OLAP systems.

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Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

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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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The Top 7 Data Aggregation Tools in 2024

Astera

They gather, process, and analyze data from diverse sources. From handling modest data processing tasks to managing large and complex datasets, these tools bolster an organization’s data infrastructure. What are Data Aggregation Tools? Assess Connectivity Evaluate the tool’s ability to connect with listed data sources.

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Build Data Warehouse with Concentrated Teams

Astera

Data Architects : Define a data architecture framework, including metadata, reference data, and master data. . DW Analysts : Identify data requirements and help design databases for storing information from disparate sources. . Using a cloud architecture, you can integrate data from multiple sources and systems.

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Finance Data Warehouse for Reporting and Analytics

Astera

Read More: The Cost of Building a Data Warehouse How a Finance Data Warehouse can Help with Risk Management The biggest functional area benefit of a Data Warehouse (DW) in finance is typically related to risk management.