Modern Data Stack Discussion
Share all these things data
Striim released the latest version 4.1.2The new version offers users tools to help with their streaming use cases, management tasks, and configurations, seeking to increase team collaboration with automation.Take a look at what is new in this version:New Features in Striim 4.1.2. New Features in Striim Cloud 4.1.2. Enjoy!
A discussion with Abhi Sivasailam – a Growth & Analytics leader (Flexport, Hustle, Keap, Honeybook) – on "The Modern Data Team" shortly before his talk at dbt Labs' Coalesce conference in New Orleans. Abhi dives into real world data leadership and engineering management topics such as applying Domain-driven design on data teams, producer-defined models (plus why he thinks they're better than consumer-led), and adhering to SLAs across the business. Abhi also provides a future-facing view of the data industry: eliminating arbitrary uniqueness in analytics engineering. Can we all align on common data models? Is this what 'modern data teams' will look like? Tune in to learn more!About Abhi Sivasailam:Abhi Sivasailam is a Growth & Analytics leader who previously led those functions at Flexport, Hustle, Keap, and Honeybook. He currently invests in and advises companies on their data strategies and coaches operators. Follow Abhi on Twitter for more insights.
Striim is crossing the pond this year for Big Data London!Join the networking reception at Big Data London that focuses on creating a complete customer 360 view. Chat with the industry’s leading voices about the need for data stack operationalization and unification; the democratization of data, and the importance of making your data lakehouse your single source of truth for your reliable data. Connect with your data peers Enjoy food, drinks and a nice reprieve from the conference floor Mingle with industry leaders from across the Modern Data Stack Hosted by Databricks, dbt, Monte Carlo, Striim and SnowplowWednesday, September 21st | 5:00 – 7:30pm BST@ The Albion, 121 Hammersmith Rd (4 minutes from the Olympia) RSVP Link: https://snowplow.io/events/beers-with-data-peers/?BigData_LDN_Source=Striim
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