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What Are the Best Data Modeling Methodologies & Processes for My Data Lake?

phData: Data Engineering

With many data modeling methodologies and processes available, choosing the right approach can be daunting. This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. What is a Data Lake?

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What is Data Extraction? Examples, Tools & Techniques

Knowledge Hut

Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

If your organization fits into one of these categories and you’re considering implementing advanced data management and analytics solutions, keep reading to learn how data lakes work and how they can benefit your business. Data sources can be broadly classified into three categories. Structured data sources.

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A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

In an ETL-based architecture, data is first extracted from source systems, then transformed into a structured format, and finally loaded into data stores, typically data warehouses. This method is advantageous when dealing with structured data that requires pre-processing before storage.

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The Future of Database Management in 2023

Knowledge Hut

Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data. Disruptive database technologies are on them. With these technologies, businesses and organizations enhance their data management procedures, upgrade their knowledge, and make better decisions using data.

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Most important Data Engineering Concepts and Tools for Data Scientists

DareData

AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS). Talend Data Fabric: A comprehensive data management platform that includes a range of tools for data integration, data quality, and data governance. Introduction to Designing Data Lakes in AWS.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Data integration , on the other hand, happens later in the data management flow.