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Data Warehouse Interview Questions

Analytics Vidhya

source: svitla.com Introduction Before jumping to the data warehouse interview questions, let’s first understand the overview of a data warehouse. The data is then organized and structured […] The post Data Warehouse Interview Questions appeared first on Analytics Vidhya.

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Data Warehouse for the Beginners!

Analytics Vidhya

DHW, short for Data Warehouse, was presented first by great IBM researchers Barry Devlin and Paul […]. The post Data Warehouse for the Beginners! IBM is one name that easily enters the picture whenever long history in computer science is involved. appeared first on Analytics Vidhya.

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An Introduction to Data Warehouse

Analytics Vidhya

Introduction The following is an in-depth article explaining what data warehousing is as well as its types, characteristics, benefits, and disadvantages. What is a data warehouse? The post An Introduction to Data Warehouse appeared first on Analytics Vidhya. Why is […].

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Data Warehouses, Data Marts and Data Lakes

Analytics Vidhya

By their definition, the types of data it stores and how it can be accessible to users differ. This article will discuss some of the features and applications of data warehouses, data marts, and data […]. The post Data Warehouses, Data Marts and Data Lakes appeared first on Analytics Vidhya.

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Checklist Report: Preparing for the Next-Generation Cloud Data Architecture

Data architectures to support reporting, business intelligence, and analytics have evolved dramatically over the past 10 years.

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Most Frequently Asked Data Warehouse Interview Questions

Analytics Vidhya

Data and analytics have become critical for firms to remain competitive. The post Most Frequently Asked Data Warehouse Interview Questions appeared first on Analytics Vidhya. Reports, dashboards, and analytics tools are used by business users to derive insights […].

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Data Lake or Data Warehouse- Which is Better?

Analytics Vidhya

Data collection is critical for businesses to make informed decisions, understand customers’ […]. The post Data Lake or Data Warehouse- Which is Better? We can use it to represent facts, figures, and other information that we can use to make decisions. appeared first on Analytics Vidhya.

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The Unexpected Cost of Data Copies

An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies, and building BI extracts for analysis.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs. This new open data architecture is built to maximize data access with minimal data movement and no data copies.

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Top Considerations for Building an Open Cloud Data Lake

The key prerequisites for meeting the needs of non-technical users while adhering to data governance policies. How cloud data lake engines enable a better balance between data warehouse investments versus those in the cloud data lake

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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.