https://medium.com/data-engineer-things/apache-iceberg-the-hadoop-of-the-modern-data-stack-c83f63a4ebb9

Apache Spark est un puissant système informatique distribué open source, excellent dans le traitement du Big Data. Reconnu pour sa rapidité et sa simplicité d'utilisation, il est plébiscité par les ingénieurs logiciels et les data scientists.

Several years ago, I started a side project that I thought would be fun: collecting and loading SEC filings for ETF and Mutual Fund Holdings on a monthly basis. I wanted to essentially automate the collection of the SEC filings

Data processing and statistics gathering are essential tasks in today's data-driven world. Engineers frequently find themselves choosing between tools like PySpark and Scala when embarking on these tasks.

If you're a software engineer, there are various SDK's and connectors available. On the other hand if you just want to look at document content, either the built-in "Query" section on the Couchbase console, or a third-party tool that has a driver to connect.

In today's data-driven world, organizations are generating vast amounts of data every second. This data can be a goldmine for insights when processed and analyzed effectively. One of the most powerful tools in this realm is Apache Spark.

Data architecture refers to the design and organization of data structures and systems within an organization. It defines how data is collected, stored, and used, serving as a blueprint for managing data assets.

The analytics console looks very much like the query console with the exception of the panels on the right. This is where you can map data structures from the local or remote Couchbase collections as sources. The analytics service makes a copy of the original data, and provides the ability to index it separately from the original source.

Dask is a flexible library for parallel computing in Python. It is designed to scale from a single machine to a cluster of machines seamlessly. By using Dask, you can manage and manipulate large datasets that are too big to fit into memory on a single machine.