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The Data Analysis Process | Lifecycle Of a Data Analytics Project

ProjectPro

Table of Contents The Motivation Behind Data Analysis Process What is Data Analysis? Let's apply the complete data analysis process to the following real-time data analytic project for better understanding. Insurance Data List of documents required for processing auto insurance requests.

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Top 10 AWS Services for Data Engineering Projects

ProjectPro

Data engineering is the foundation for data science and analytics by integrating in-depth knowledge of data technology, reliable data governance and security, and a solid grasp of data processing. Data engineers need to meet various requirements to build data pipelines.

AWS 52
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How To Use Airbyte, dbt-teradata, Dagster, and Teradata Vantage™ for Seamless Data Integration

Teradata

Setting up the dbt project dbt (data build tool) allows you to transform your data by writing, documenting, and executing SQL workflows. The sample dbt project included converts raw data from an app database into a dimensional model, preparing customer and purchase data for analytics. dbt-core dagster==1.7.9

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Microsoft Fabric Architecture Explained: Core Components & Benefit

Edureka

Synapse Data Warehouse Fabric’s enterprise-class data warehouse facilitates deep integration with OneLake, distributed processing, and massive parallelism. For workloads involving structured data, it offers governed SQL-based analytics with excellent performance.

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Mastering the Art of ETL on AWS for Data Management

ProjectPro

Data integration with ETL has evolved from structured data stores with high computing costs to natural state storage with read operation alterations thanks to the agility of the cloud. Data integration with ETL has changed in the last three decades.

AWS 40
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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. ETL is the acronym for Extract, Transform, and Load.

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Business Intelligence vs Artificial Intelligence-Battle of the Brains

ProjectPro

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.