Remove Data Cleanse Remove Media Remove Raw Data Remove Unstructured Data
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What is Data Extraction? Examples, Tools & Techniques

Knowledge Hut

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

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

AltexSoft

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Unstructured data sources.

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What is data processing analyst?

Edureka

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

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Real-World Use Cases of Big Data That Drive Business Success

Knowledge Hut

Big Data Use Cases in Customization and the Customer Experience Enhancing Customer Journeys and Experiences: Big data analytics examines data from several touchpoints, including websites, mobile applications, customer care, and social media, to assist firms in understanding the whole customer experience.

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What is ELT (Extract, Load, Transform)? A Beginner’s Guide [SQ]

Databand.ai

In this phase, data is collected from various sources. These sources could be databases, CRM systems, social media platforms, or any other place where data is stored. The extracted data is often raw and unstructured and may come in various formats such as text, images, audio, or video.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc. Data cleansing.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. A data engineer interacts with this warehouse almost on an everyday basis.