Data Lake

A Data Lake is a central repository from various data sources where the emphasis is put on storing data rapidly and for a low cost, at the expense of a well defined structure. A wide variety of data can be stored in data lakes such as structured data (like columns and rows in classical RDBMS), semi-structured data (CSV, XML and JSON files), and unstructured data (images, videos, emails, web pages…). In a data lake, the data is stored in a raw format, untouched, making it flexible for later usage. In practice, data lakes are often based on the Hadoop framework.

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Creating a Data Lake requires rigor and experience. Here are some good practices around data ingestion both for batch and stream architectures that we recommend and implement with our customers…

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Oracle and Hive, how data are published?

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In the past few days, I’ve published 3 related articles: a first one covering the option to integrate Oracle and Hadoop, a second one explaining how to install and use the Oracle SQL Connector with…

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