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Data Engineering & Data Science

Data Engineering

  • Data Pipelines (ETL/ELT)

  • Big Data Technologies

  • Cloud Computing for Data

  • Data Governance & Quality

Data Science

  • Machine Learning (ML)

  • Statistical Analysis

  • Data Visualization

  • Natural Language Processing (NLP)

  1. Salesforce’s Customer Data Platform, Genie, relies on open data sharing with Snowflake. Does this signal a paradigm shift for the Customer 360? View the full article

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  2. Learn how to successfully plan and instrument event tracking for your websites and applications to improve data quality at the source.View the full article

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  3. A headless customer data platform architecture is the connective tissue between customer data, the cloud data warehouse, and the rest of the stack.View the full article

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  4. Why do so many companies still struggle with building a complete view of their customer? In short, it's the data—user identities, metadata and ops.View the full article

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  5. Dimensional data modeling is a way to structure data in a warehouse to mitigate data granularity loss and allow people to do data work in a performant way. View the full article

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  6. In this guide, you’ll learn how to extend your Flutter mobile app or plugin to support web for browser-based delivery.View the full article

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  7. These five key steps will help you create a strong foundation for scale while rapidly driving business impact with your customer data. View the full article

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  8. Track sessions on web and mobile with RudderStack to get complete control over how session data is tracked.View the full article

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  9. Get the details of the new configuration flow that clarifies and streamlines the destination setup process in RudderStack.View the full article

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  10. Optimizing marketing efforts comes down to data. Here’s how intern Henry Lassa tackled a project to improve campaign management and tracking at RudderStack. View the full article

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  11. Reverse ETL definition and guide. Learn everything you need to know about reverse-ETL, data activation and operational analytics. View the full article

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  12. What has Twilio done with Segment over the last two years and where are they steering it over the next two years? View the full article

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  13. The top 6 things data teams are doing to navigate 2023View the full article

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  14. Why are companies leaving Google Analytics? Learn how data and marketing teams are using the data warehouse to future-proof web analytics. View the full article

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  15. Learn how RudderStack helps make your data stack more flexible, secure, and cost-efficientView the full article

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  16. Started by RudderStack,

    Reverse ETL Audiences empowers business teams to leverage warehouse data through a no-code audience builder. View the full article

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  17. RudderStack is hosting its first ever community challenge for Transformations month!View the full article

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  18. Turn customer data into competitive advantage while optimizing warehouse spend. Reduce compute costs by ingesting via append and skip compute-intensive tables.View the full article

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  19. We're excited to announce that Databricks has been honored with the 2024 Google Cloud Technology Partner of the Year award for Data -... View the full article

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  20. Introduction The ability for organizations to adopt machine learning, AI, and large language models (LLMs) has accelerated in recent years thanks to the... View the full article

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  21. RudderStack Transformations gives you the power and flexibility to ship projects faster, secure and build trust in data, and quickly adapt to business needsView the full article

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  22. QuickStart Packages make it easy to work directly with RudderStack’s partners at a pre-set cost to help you maximize ROI across your data stack. View the full article

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  23. With the Braze Currents integration, you can stream continuous, near real-time event data to RudderStack and route it across your entire stack.View the full article

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  24. Learn how the Warehouse Native CDP overcomes the limitations of legacy CDPs and custom built solutions.View the full article

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  25. Check out the Transformations challenge winners, why we love their submissions, and get a sneak peek of even more Transformations features coming soonView the full article

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  26. To performantly meet new product requirements for point-in-time correctness, RudderStack’s team had to make two major optimizations to an existing algorithm.View the full article

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  27. Started by RudderStack,

    A composable customer data platform architecture is the connective tissue between customer data, the cloud data warehouse, and the rest of the stack.View the full article

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  28. When migrating from Universal Analytics, learning about GA4’s server-side capabilities is just as important as learning GA4’s event model.View the full article

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  29. RudderStack is available in AWS Marketplace, a digital catalog with listings from vendors that make it easy to find and deploy software that runs on AWS. View the full article

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  30. Find out why companies are leaving Google Analytics, and learn how to replace it with a warehouse-native analytics architecture.View the full article

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  31. Get an overview of RudderStack profiles, a product designed to make building a complete customer view accessible for every data team.View the full article

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  32. Started by RudderStack,

    The customer data platform origin story: How SaaS made a data silo mess and the CDP sought to solve it and deliver a complete customer view.View the full article

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  33. A look at today’s prevailing customer data platform approaches and its next evolution – The Warehouse Native Customer Data Platform.View the full article

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  34. An overview of the building blocks of a RudderStack Profiles project – models. Learn the different types of models and how they fit into the Profiles ecosystem.View the full article

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  35. Started by RudderStack,

    The data activation lifecycle is a continuous, 3-stage cycle that enables you to progressively harness the power of your data to enhance business outcomes.View the full article

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  36. Introducing RudderStack Profiles. Accelerate time-to-value by automating identity resolution and building complete customer profiles in your warehouse.View the full article

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  37. A breakdown of event streaming approaches comparing RudderStack to Apache Kafka, detailing when to use each tool and when to use both.View the full article

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  38. Started by RudderStack,

    An overview of the process of creating a customer 360 and how RudderStack simplifies technical challenges at each step.View the full article

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  39. With RudderStack’s Kafka Source, you can combine the power of Kafka with RudderStack’s CDP to easily extract business value from your Kafka data.View the full article

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  40. Started by RudderStack,

    How Customer 360 is applied across various industries and how every business team can utilize a customer 360 to drive better business outcomes. View the full article

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  41. With Braze Deduplication, you can automatically prevent sending duplicate data to Braze to avoid overages. View the full article

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  42. RudderStack's Activation API enables dev and product teams to access customer 360 profiles in real-time, in any platform.View the full article

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  43. Send data from your Databricks lakehouse to your entire stack with RudderStack’s Databricks reverse ETL source. View the full article

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  44. RudderStack Predictions makes it easy for you to build predictive features in Snowflake without additional MLOps and infrastructure.View the full article

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  45. Modeling for customer 360 involves unique complexities that make a SQL based approach painful. A declarative approach handles these complexities for you. View the full article

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  46. In this piece, we explore how RudderStack makes rapid experimentation possible for every data science team.View the full article

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  47. The RudderStack User Suppression API simplifies compliance by automating user preference updates across the entire stack.View the full article

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  48. The RudderStack User Suppression API simplifies compliance by automating user preference updates across the entire stack.View the full article

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  49. With cookieless tracking, you control what user information you collect and where you store it so you can adapt to fast-changing regulatory environments.View the full article

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  50. Our compliance toolkit for customer data simplifies compliance across the data lifecycle so you can implement compliance measures with full confidence, faster. View the full article

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