Real-World Best Practices for Building Modern Cloud Data Lakes

Real-World Best Practices for Building Modern Cloud Data Lakes

Real-World Best Practices for Building Modern Cloud Data Lakes. Fundamental principles like simplicity, scalability and data accessibility, coupled with best practices such as leveraging open source technologies, will ensure success and magnify the value of a cloud data lake in your organization.

Lessons learned from real-world cloud data lake deployments.

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 leaders at companies such as Netflix, Expedia, Preset, Exelon, Microsoft and AWS about their real-world experiences spearheading open source projects and building modern data lakes.

During the event, speakers shared details about their journey of building modern cloud data lakes. They talked about their challenges, what worked and what didn’t and, most importantly, how they succeeded. The following are the key takeaways.

cloud data-lake cloud-computing

What is Geek Coin

What is GeekCash, Geek Token

Best Visual Studio Code Themes of 2021

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Getting Started With Data Lakes

In this post, we'll learn Getting Started With Data Lakes.<br><br> This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that's designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You'll also explore key benefits and common use cases.

Data Lakes Are Not Just For Big Data - DZone Big Data

A data expert discusses the three different types of data lakes and how data lakes can be used with data sets not considered 'big data.'

Multi-cloud Spending: 8 Tips To Lower Cost

Mismanagement of multi-cloud expense costs an arm and leg to business and its management has become a major pain point. Here we break down some crucial tips to take some of the management challenges off your plate and help you optimize your cloud spend.

Database Vs Data Warehouse Vs Data Lake: A Simple Explanation

A data lake is totally different from a data warehouse in terms of structure and function. Here is a truly quick explanation of "Data Lake vs Data Warehouse".

Your Data Architecture: Simple Best Practices for Your Data Strategy

Your Data Architecture: Simple Best Practices for Your Data Strategy. Don't miss this helpful article.