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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. Data sources can be broadly classified into three categories.

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Case Study: The Path to Better Pollution Forecasting Goes Through Nested JSON

Rockset

With increased regulation and the decline of the steel industry, Pittsburgh has gotten much cleaner since its darkest, smokiest days in the 1940s, but it still hasn’t shed all the vestiges of steel-related pollution. Coke, one of the raw materials in steelmaking, is manufactured by heating coal at high temperatures.

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

The information is utilized for analysis and reporting, and it is made accessible to the higher-ups in the organization using relational databases. By keeping all of the data linked together, the database management system also makes room for fresh updates.

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Top Hadoop Projects and Spark Projects for Beginners 2021

ProjectPro

As we step into the latter half of the present decade, we can’t help but notice the way Big Data has entered all crucial technology-powered domains such as banking and financial services, telecom, manufacturing, information technology, operations, and logistics. To this group, we add a storage account and move the raw data.

Hadoop 52
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How to Become a Data Engineer in 2024?

Knowledge Hut

Businesses benefit at large with these data collection and analysis as they allow organizations to make predictions and give insights about products so that they can make informed decisions, backed by inferences from existing data, which, in turn, helps in huge profit returns to such businesses. What is the role of a Data Engineer?

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The Good and the Bad of Hadoop Big Data Framework

AltexSoft

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Hadoop 59
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Understanding the 4 Fundamental Components of Big Data Ecosystem

U-Next

Here are some more instances of how businesses use Big Data: Big data assists oil and gas businesses in identifying potential drilling locations and monitoring pipeline operations; similarly, utilities use it to track power networks. . It is not as simple as converting data into insights. Ingestion .