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The Rise of the Data Engineer

Maxime Beauchemin

Like data scientists, data engineers write code. There’s a multitude of reasons why complex pieces of software are not developed using drag and drop tools: it’s that ultimately code is the best abstraction there is for software. blobs: modern databases have a growing support for blobs through native types and functions.

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Toward a Data Mesh (part 2) : Architecture & Technologies

François Nguyen

To illustrate that, let’s take Cloud SQL from the Google Cloud Platform that is a “Fully managed relational database service for MySQL, PostgreSQL, and SQL Server” It looks like this when you want to create an instance. You are starting to be an operation or technology centric data team.

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A Guide to the Confluent Verified Integrations Program

Confluent

When it comes to writing a connector, there are two things you need to know how to do: how to write the code itself, and helping the world know about your new connector. In a nutshell, the document states that sources and sinks are verified as Gold if they’re functionally equivalent to Kafka Connect connectors.

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The Rise of Unstructured Data

Cloudera

Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. Examples of unstructured data, on the other hand, include media (video, images, audio), text files (email, tweets), business productivity files (Microsoft Office documents, Github code repositories, etc.) .

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Top 10 Automation Testing Tools used in Software Industry

Knowledge Hut

Ranorex Webtestit: A lightweight IDE optimized for building UI web tests with Selenium or Protractor It generates native Selenium and Protractor code in Java and Typescript respectively. Despite the technical coding knowledge and relevant experience, around 20% of professionals use this automation testing tool.

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Building a maintainable and modular LLM application stack with Hamilton

Towards Data Science

In this post, we’re going to share how Hamilton , an open source framework, can help you write modular and maintainable code for your large language model (LLM) application stack. The example we’ll walk you through will mirror a typical LLM application workflow you’d run to populate a vector database with some text knowledge.

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RDBMS vs NoSQL: Key Differences and Similarities

Knowledge Hut

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. Come with me on this adventure to learn the main differences and parallels between two well-known database solutions, i.e., RDBMS vs NoSQL. What is RDBMS? What is NoSQL?

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