MDS Newsletter #63
There's something special about this week's edition. Can you spot it? (Hint: The whole world is talking about it!) IYKYK 😉, Answer at the end of this newsletter!
Welcome to the latest edition of the Modern Data Stack newsletter, your source for the latest news and updates in the data industry. This week, we're featuring Decodable and Kausa as our featured tools of the week. Some must-read articles and upcoming events in the data community.
So sit back, grab a cup of coffee, and enjoy this week's edition of the Modern Data Stack newsletter.
Featured tools of the week
- Decodable’s mission is to make streaming data engineering easy. Decodable delivers the first self-service real-time data platform — that anyone can run. As a serverless platform for real-time data ingestion, integration, analysis, and event-driven service development, Decodable eliminates the need for a large data team, clusters to set up, or code to write.
Decodable has raised a total of $25.5M in funding over 2 rounds. Their latest funding was raised on Feb 22, 2022 from a Series A round.
- Kausa is a decision intelligence platform that provides you with a thorough understanding of why your metrics are changing. With Kausa, you can answer complex diagnostic questions and improve business performance, by augmenting analytics using machine learning.'
Featured data stack of the week
- Hubla is a technology company leading the passion economy in brazil. launched in 2020, it allows creators to run their own paid community using a smart and fast management platform.
Good reads and resources
- Data Systems Tend Towards Production: The article discusses three trends that have emerged in the field of data over the last five years. The first trend is that data systems tend towards production, meaning that the outputs of data teams are being used in increasingly important and production-grade use cases. The second trend is that data systems tend towards blind federation, where data outputs that were initially intended for a specific purpose are unknowingly adopted by many teams and use cases. The third trend is that data systems tend towards layerinitis, where data can be transformed at multiple steps throughout its journey and business logic lives in a variety of tools. These trends present both opportunities and challenges for data teams, and the article provides solutions for addressing the associated problems.
By -Ian Macomber
- What’s Next for Data Engineering in 2023? 7 Predictions: The article discusses predictions for the future of data engineering in 2023 and beyond. The first prediction is that data engineering teams will spend more time on finops and data cloud cost optimization, as data becomes a larger portion of a company's spending and draws more scrutiny from finance. The second prediction is that data team roles will further specialize, with additional segmentation by business value or objective. The third prediction is that the data engineering ecosystem will continue to consolidate, with larger companies acquiring smaller ones to gain a competitive edge. The fourth prediction is that open source will continue to be a driving force in the data engineering world. The fifth prediction is that data engineering will become increasingly abstracted, with data engineers focusing on higher-level concepts and relying more on managed services.
By- Barr Moses
Upcoming data events, webinars and summits
- "From Hadoop to the Modern Data Stack" meetup will take place on Tuesday, December 13, 2022 at 7:00 p.m. at Criteo. The meetup will consist of three sessions, followed by a networking aperitif.
The first session will be presented by Anthony Rabier, Miguel Liroz and William Montaz from Criteo, and will discuss the daily operation of one of Europe's largest Hadoop clusters. The second session will be presented by Victor Coustenoble from Starburst and will introduce the Iceberg technology.
The third session will be presented by Arnaud de Turckheim, CPO and co-founder of Castor, and will discuss the topic of data documentation in business.
Registration for the event closes 24 hours before the event.
- Ebury is hiring an 'Analytics Engineer'
Location: Spain, UK
Stack: dbt, Airflow, Looker
- Mammoth Growth is hiring a 'Senior Analytics Engineer '
Stack: Redshift, Snowflake, dbt
- Coinlist is hiring a 'Senior Data Engineer'
Location: Remote / SF / NYC
Stack: DBT, Prefect, AWS
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