Dataversity

MARCH 21, 2022

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.

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Data Lakes Data Warehouse Data Governance Data Quality 98

Data Science Dojo

JANUARY 12, 2023

When it comes to data, there are two main types: data lakes and data warehouses. What is a data lake? An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. Which one is right for your business?

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Data Lakes Data Warehouse Hadoop Machine Learning 221

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Data Science Analytics Analytics Data Scientist 86

Pickl AI

FEBRUARY 21, 2023

Business organisations worldwide depend on massive volumes of data that require Data Scientists and analysts to interpret to make efficient decisions. Understanding the appropriate ways to use data remains critical to success in finance, education and commerce. What is Data Mining and how is it related to Data Science ?

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Data Mining Data Mining Data Mining Data Scientist 52

phData

MAY 10, 2023

This blog was co-written by Ayush Kumar Singh and Mayank Singh When it comes to data management, one question that often arises is whether to lift and shift or modernize. In this context, ‘lift and shift’ refers to the process of moving data from one platform to another without making any changes to the data or how it is structured.

Data Lakes 52

Data Lakes Data Warehouse Machine Learning Machine Learning 52

phData

DECEMBER 4, 2023

We’ll explore the options available to you and how they impact: Operating costs and complexity Security Performance This will allow you to get the most out of the Snowflake Data Cloud and deliver results back to the business. You can set this value for each database and choose to have non-production data stored for fewer days.

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Clustering Database SQL Data Pipeline 98

Alation

OCTOBER 21, 2021

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. I’ll take the lake, thank you very much. And so will your data. Benefits of a Data Lake.

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Data Lakes Data Governance Data Warehouse Business Intelligence 52