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Data Lakes vs Data Warehouses

Towards Data Science

Understanding the difference between data lake and data warehouse, their benefits and how to decide which approach and strategy to use

The Fundamentals of Data Warehouse + Data Lake = Lake House

Towards Data Science

With the evolution of Data Warehouses and Data Lakes, they have certainly become more specialized yet siloed in their respective landscapes over the last few years. Both data management technologies…

From Data Warehouse to Data Lake to Data Lakehouse

Towards Data Science

What’s for what, what you need, and what are the advantages and limitations Before we go to Data Lake we need to go through the other Data Store technologies, to see the full picture and to understan...

Data Lake And Quality Assurance

Analytics Vidhya

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…

Getting Started with Data Lakes

Towards Data Science

Ideas and Explanations behind the complement to Data Warehouses Continue reading on Towards Data Science

Data Lake VS Data Warehouse

Towards Data Science

Data Lakes and Data Warehouses are used widely to store large amounts of data. However, they are not interchangeable terms. You will be surprised to know that both of these approaches are…

Building a Modern Data lake on Oracle Cloud Infrastructure

Oracle Developers

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...

Data Warehouse vs Data Lake vs Data Lakehouse

Level Up Coding

Important concepts explained in a simple way Continue reading on Level Up Coding

The New Generation Data Lake

Towards Data Science

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…

Data Lake vs. Warehouse: How to Choose the Right Solution for Your Stack

Towards Data Science

With the announcement of Databricks’ SQL Analytics, Snowflake’s avalanche of new product features, and various other advancements in the data engineering space, it’s clear that cloud data warehouses…

What Is a Data Warehouse

Towards AI

Understanding the concept of data warehouses and how they differ from data lakes and databases Continue reading on Towards AI

Data Lakes, and SQL???

Towards Data Science

With greater data volumes, the push is toward newer technologies and paradigm changes. SQL meanwhile has remained the mainstay. Here, I explore how SQL is used with Data Lakes and the new data…

Comprehensive Guide to Data Warehouses

Towards Data Science

Everything you need to know including a comparison to Data Lakes Continue reading on Towards Data Science

Moving from a database mindset to a Data Lake mindset

Towards Data Science

There are several key conceptual differences between working with databases and Data Lakes. In this post, let’s identify some of these differences which may not be intuitive at first sight…

Benefits of a Hybrid Data Lake

Towards Data Science

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…

Data Discovery: The Future of Data Catalogs for Data Lakes

Towards Data Science

Over the past few years, data lakes have emerged as a must-have for the modern data stack. But while the technologies powering our access and analysis of data have matured, the mechanics behind…

How to build a data lake from scratch — Part 1: The setup

Towards Data Science

The complete tutorial of how to make use of popular technology to build a data lake and data engineering sandbox with docker-compose.

Data Lake: an asset or a liability?

Towards Data Science

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…

My Definition of Data Lake

Analytics Vidhya

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…

From Data Lakes to Data Reservoirs

Towards Data Science

It is amusing that when we talk about data the best analogy is typically rooted in water. This makes sense in order to fathom the idea of data — which comes in all shapes and sizes— people tend to…

Real-World Best Practices for Building Modern Cloud Data Lakes

Towards Data Science

This past July Dremio sponsored Subsurface, the industry’s first cloud data lake conference. The event explored the future of cloud data lakes and included discussions with open source and technology…...

Build An Enterprise Data Lake On Cloud — Introduction

Analytics Vidhya

This blog is part 1 of a blog series which covers how to create a data lake on the cloud. The first , most important part to understand for every solution / design architect is that building the data…...

Data Lake vs. Structured Data Store for strategic decision

Javarevisited

Businesses today are confronted with a crucial decision — where to store their invaluable data.The advent of big data has given rise to innovative solutions, and two prominent contenders for housing d...

A Gentle Introduction to Data Lakehouse

Towards Data Science

Data Lakehouse is a new data architecture that has been mentioned a lot in the past few years. It has been proposed in order to solve the pain points that old and well-established data architectures…