Sun.Jul 10, 2022

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Data Modelling Techniques in Modern Data Warehouse

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hello, data-enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for analytics and advanced analytics. Yes! Of course, last 40+ years we all worked for OLTP, and followed by […].

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Harnessing Data for Your Retail Advantage

Data Insight

Living in the digital era. We are now living in a digital era of smartphone users and instant information, with approximately 6.6 billion smartphone users globally. In the last decade alone, almost every generation has either adapted or grown up with digital way of life.

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Apache Pig Architecture and Execution Modes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. The Apache Pig is built on top of Hadoop. Provides a stream of data processing for large data sets. Apache Pork offers a high-quality language. It is another way of quoting more than Reduce Map (MR). The pig system supports the simulation method. […]. The post Apache Pig Architecture and Execution Modes appeared first on Analytics Vidhya.

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All About Data Pipeline and Its Components

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the development of data-driven applications, the complexity of integrating data from multiple simple decision-making sources is often considered a significant challenge. Although data forms the basis for effective and efficient analysis, large-scale data processing requires complete data-driven import and processing techniques […].

IT 240
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.