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Going From Data Lakes to Oceans

Written by @Shahar | Published on 2019/11/12

TL;DR
Data lakes are a popular solution for uniting insights from ALL the organization’s data sources. Federated Sources approach generates the same output with a fraction of the effort and cost. The main resource of the organization — data — is distributed, duplicated, and cannot be aggregated for global insights in a clean, unified manner. Google is investing in the direction of federated sources, with a caveat — only three-only services like BigQuery and Amazon's BigQuery. The data lake solution is to build a data lake, where it can be queried using a single query engine.

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Written by
@Shahar
Technical Writer on HackerNoon.

Topics and
tags
datasets|data-lakes|nosql|architecture|latest-tech-stories|google-bigquery|aws|database
This story on HackerNoon has a decentralized backup on Sia.
Transaction ID: CMV_nG6ZKGeLdlo15jetkGgx5eHZmey9sgc5rCx0iZI