August 25, 2022
Industry insights

The Stream — August 2022 edition

The August 2022 edition of The Stream: covering this month in stream processing on the internet.

The Stream August 2022 banner.
Quix brings DataFrames and the Python ecosystem to stream processing. Stateful, scalable and fault tolerant. No wrappers. No JVM. No cross-language debugging.

Our library is open source—support the project by starring the repo.

People-first, passionate, data-driven and adventurous

At Quix, we believe that great companies depend on passionate and adventurous people making data-based decisions within the safety of supportive teams. Our passion for supporting the streaming community and helping Quix users drives our energy and pursuit of excellence. This passion moves us forward when grounded in real-world data; we collect and evaluate data at the beginning, middle and end of every project and automate this process when possible to ensure effectiveness. Learning happens best on the edge of a comfort zone, where adventure and curiosity bring us, and failure occurs regularly. Quixers share their passion, data and experience with their teams to create a supportive and stimulating atmosphere for failures and triumphs. When teams function in this cohesive and empowering way, they produce more than the sum of their parts.

Success originates with the people involved. Quix focuses on equipping people with the technologies they love and home offices that fit them. We value flexibility, vacations, and bringing people together to form working and social relationships. We know we’re on the right track when people exceed their own expectations.

We’re hiring for open positions across the company. Join us.

Three women and drinks on the table.

The Stream community is busy meeting up this fall (in person!)

You’ll find developers, engineers and data scientists talking about stream processing applications at events in Munich, Berlin, London and Austin. Our next meetup is in London on September 20!

Join in

Understanding streams in Redis and Kafka banner.

A visual guide to understanding streams in Redis and Kafka

Streaming is complicated. Let these fifty illustrations accompanied by code snippets clarify the depths of Kafka and Redis Streams.

Take a look →

Wet kid playing with hose and water.

Unbundling the modern streaming stack

Why is the modern streaming stack replacing classic streaming architecture? What’s the composition, and what values does it bring? Hear answers from Dunith Dhanushka, a developer advocate at StarTree.

Let’s go →

Black background with colorful lines.

The best-kept secret in data engineering

Statistician Josh Wills gives it away: If you control the upstream systems that generate the data you’re sending to your data warehouse, everything in your life gets better.

Find out more →

More insights

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

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