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Top Data Lake Vendors (Quick Reference Guide)

Monte Carlo

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. This was largely overcome when Databricks announced their Unity Catalog feature which fully integrates those metastores along with other partnering data catalog and data security technologies.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This structure is made efficient by data engineering practices that include object storage. What is a data lake? A data lake allows to store data before a specific use case has been identified. This will simplify further reading.

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How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice. Also, the role of an Azure Data Engineer is highly relevant and in demand. In the post, we will investigate how to become an Azure data engineer, the skills required, the roles and responsibilities of an Azure data engineer, and much more.

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The Top 25 Data Engineering Influencers and Content Creators on LinkedIn

Databand.ai

Whether you’re a data engineering pro looking to stay up to date on the latest trends or new to the space and want to learn more, following the right leaders and joining the right conversations can make all the difference when it comes to plugging into the data engineering community. You’ve come to the right place.

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Moving Past ETL and ELT: Understanding the EtLT Approach

Ascend.io

First, the unmatched scalability of cloud databases which maintains classic table structures while separating storage and compute. First, the unmatched scalability of cloud databases which maintains classic table structures while separating storage and compute. Central to this transformation are two shifts. Let’s take a closer look.

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Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. A data warehouse tool should be optimized for analytical queries, with features such as columnar storage, that make it much faster to process common ad-hoc questions.

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Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

Monte Carlo

That’s why it’s essential for teams to choose the right architecture for the storage layer of their data stack. That’s why it’s essential for teams to choose the right architecture for the storage layer of their data stack. But, the options for data storage are evolving quickly. Let’s dive in.