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Data-lake
A Data Lake is a centralized repository designed to store vast amounts of structured and unstructured data at any scale. Unlike traditional data warehouses, which require data to be processed and structured before storage, Data Lakes allow data to be ingested in its raw form. This flexibility enables organizations to perform various analytics, from real-time processing to machine learning, facilitating better decision-making. Data Lakes play a crucial role in digital transformation and data-driven initiatives, offering a cost-effective solution for managing diverse data types while supporting advanced analytics and business intelligence applications.
Data Lake: an asset or a liability?
A Data Lake, as its name suggests, is a central repository of enterprise data that stores structured and unstructured data. The promise of a Data Lake is “to gain more visibility or put an end to…
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What is a Data Lake?
Both, Data Lakes and Data Warehouses are established terms when it comes to storing Big Data, but the two terms are not synonymous. A data lake is a large pool of raw data for which no use has yet…
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Data Lake And Quality Assurance
A data lake is a centralized repository of data that allows you to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the…
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Do you really need a data lake?
Data lake is an important component of any Data Strategy. What kind of problems will a data lake solve and how would it address Business Intelligence and Advanced Analytics issues?
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Benefits of a Hybrid Data Lake
Both, data lakes and data warehouses are established terms when it comes to storing Big Data, but the two terms are not synonymous. A data lake is a large pool of raw data for which no use has yet…
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Building a Modern Data lake on Oracle Cloud Infrastructure
A Datalake is the evolution of the Data Warehouse from both an etymological and functional sense. In the past the Enterprise companies had relational databases as data sources where data was extracted...
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The New Generation Data Lake
The volumes of data used for Machine Learning projects are relentlessly growing. Data scientists and data engineers have turned to Data Lakes to store vast volumes of data and find meaningful…
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How to monitor Data Lake health status at scale
Companion GitHub repository: Hands-on Great Expectations with Spark Build a Data Quality workflow with Great Expectations and Spark Photo by Markus Winkler on Unsplash Introduction At Mediaset, the D...
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My Definition of Data Lake
Unlike most of the similar articles, I’ll focus on explanation about this concept and obviously my subject: “my definition of data lake”. Not to mention about technology details. Please understand…
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Data Lake Design Patterns on AWS — Simple, Just Right & The Sophisticated
There are varying definitions of a Data Lake on the internet. Some sites define it as a centralized repository to store structured and unstructured data, others talk about storing data in raw formats…...
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What is a Data Lake? It is not a Data Swamp
At work, I am currently building a data lake on the Google Cloud Platform. While working, you really realize how much data a medium-sized company can already have. I work in the energy sector. In…
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Datalake — An understanding and approach to extracting value
A decade of Big data & Hadoop and questions are similar, Can Hadoop replace RDBMS? Can Big Data technologies replace DataWarehouse systems? Is datalake the best answer for breaking data silos and…
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