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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. Data democratization may sound like just another technology buzzword, but with organizations collecting more and more data every day, the accuracy, trustworthiness, and... View the full article

  2. We're thrilled to announce the General Availability (GA) of Databricks Asset Bundles (DABs) . With DABs you can easily bundle resources like jobs... View the full article

  3. For a limited time, we're offering 50% off training and certification at Data + AI Summit with the following code: TRAIN50FOTY. This offer... View the full article

  4. Learn why your Shopify success demands data engineering expertise and how to start doing more with your Shopify data. View the full article

  5. Solr is an open-source, highly scalable search platform built on top of Apache Lucene. It provides powerful capabilities for searching, indexing, and faceting large amounts of data. Here are 10 real use cases of Solr: Apache Solr is an open-source search platform built on Apache Lucene, which is a high-performance, full-text search engine library. Solr is widely used for enterprise search and analytics purposes because it provides robust full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (like Word and PDF) handling capabilities. It is designed to handle large volumes of text-centric data and provides distribute…

  6. In today’s data-driven world, developer productivity is essential for organizations to build effective and reliable products, accelerate time to value, and fuel ongoing innovation. To deliver on these goals, developers must have the ability to manipulate and analyze information efficiently. Yet while SQL applications have long served as the gateway to access and manage data, Python has become the language of choice for most data teams, creating a disconnect. Recognizing this shift, Snowflake is taking a Python-first approach to bridge the gap and help users leverage the power of both worlds... The post Snowflake’s New Python API Empowers Data Engineers to Build Modern Da…

  7. The next generation of Databricks SQL (DBSQL) dashboards, also known as Lakeview Dashboards, is now generally available on AWS and Azure. This new... View the full article

  8. We recently made significant improvements to the underlying algorithms supporting AI-generated comments in Unity Catalog and we’re excited to share our results. Through... View the full article

  9. RudderStack isn't just an alternative to Segment, but a different approach for businesses who want to turn their customer data into a competitive advantage.View the full article

  10. Introduction In this blog post we dive into inference with DBRX, the open state-of-the-art large language model (LLM) created by Databricks (see Introducing... View the full article

  11. We released Ray support public preview last year and since then, hundreds of Databricks customers have been using it for variety of use... View the full article

  12. Are you ready to discover how one of the world's leading tech giants is transforming its data analytics to stay ahead of the... View the full article

  13. The only data engineering roadmap you need for an introduction to concepts, tools, and techniques to collect, store, transform, analyze, and model data. View the full article

  14. RudderStack builds a Customer Data Platform on the Data Warehouse. Where one can join all the customer data into a program & get a personalized UI encounter.View the full article

  15. RudderStack launches its Video library. A set of detailed, informative videos that will help developers gain knowledge about the product’s features.View the full article

  16. Take charge of your data with RudderStack. It centers on privacy & security to aid an open-source option to Segment for enterprises, printed in Go & React.View the full article

  17. Why Single Platform analytics tools do not scale well? RuddertStack responds based on setups and power of insights causing future problems at the early stage.View the full article

  18. To create the Data Silos, RudderStack reveals the reason that why the Cloud SaaS tools were in use and managed by the Marketing, Sales and Product Teams.View the full article

  19. Started by RudderStack,

    Data control consists of three parts: data access aperture, data security control, and data privacy control. This article explains how they work together. View the full article

  20. This blog exposes ten companies that collect consumer data but do not appear to collect data. Read on to know more.View the full article

  21. Launching Reverse ETL and ETL - work with data to and from your warehouse and cloud sources with RudderStack. View the full article

  22. A thoughtful look at why Data and Engineering teams are best suited to own customer data platform implementation & management. View the full article

  23. Know everything about CDPs and the problems they solve. Also, know in which cases you should not go for a Customer Data Platform.View the full article

  24. RudderStack presented a webinar to NSHM, an Engineering college, and explained various open-source technologies in action. View the full article

  25. Partnered with GitHub Rudderstack is making the OS more sustainable for developers. This helps the developers to compensate at better channels & supports OS.View the full article

  26. RudderStack Transformations allow you to transform data in-flight with custom JavaScript so you can customize integrations, fix bad data, and enrich events.View the full article

  27. A typical example of a Data-Intensive Application. RudderStack briefly tells CDI and its core & the infrastructure for seizing, processing, and routing events.View the full article

  28. Started by RudderStack,

    RudderStack examines why Twilio acquired Segment and explores how the acquisition will impact Segment. View the full article

  29. Learn why you need to track in-app events, what to track and what not to track, and get a few pro tips on designing your event data.View the full article

  30. RudderStack is in a chat with founder Soumyadeb Mitra to discuss the Open-source Data Infrastructure especially focusing on data privacy, safety, & reliability.View the full article

  31. Finally RudderStack keys "Why they did not prefer Apache Kafka over PostgreSQL for building RudderStack?". Focuses on the challenges using Apache KafkaView the full article

  32. In this article, we will dive into what Clickstream Analytics is, what it does, and why it is so useful for eCommerce businesses. View the full article

  33. RudderStack explains how to churn prediction can happen using Google’s BigQueryML together with the clickstream data gathered and delivered using the stage.View the full article

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  34. RudderStack now explains to optimize mobile game analytics and presents a complete guide for the amazing casino game & how Wynn Casino Game used RudderStack.View the full article

  35. Started by RudderStack,

    In this article, we break down the ideal architecture for “the complete customer data stack” from the perspective of the data engineer. Learn all about it.View the full article

  36. Started by RudderStack,

    We bring you a complete introduction to RudderStack, an open-source CDP for handling and routing customer event data and focusing on privacy & security.View the full article

  37. RudderStack breaks down 1mg’s data stack which allows harness unlimited data securely. Also explains the tools they use to activate this data for analytics.View the full article

  38. Learn about how configuring your warehouse as a data source can fully unlock your data’s value, how Reverse ETL works, and how to set it up in RudderStackView the full article

  39. RudderStack declares the most capable, affordable and advanced customer data product for developers RudderStack Cloud. Get, Verify & Modify the data easily.View the full article

  40. RudderStack helps to secure the not-so-well-protected data from third-party vendors. With the open-source, Rudder data plane control over the event data.View the full article

  41. RudderStack allows building CDP free of cost. They aim to eliminate the customer data cribs that are always created through the sales & product technologies.View the full article

  42. Learn how to use two key clickstream data mining techniques: Markov Chain and the cSPADE algorithm, to better understand customer journeys (with code!) View the full article

  43. RudderStack shows the concept behind the queueing System and how it is implemented. Which one is better the Kafka or PostgreSQL for the implementation.View the full article

  44. Rudderstack explains the detailed history of the Data Engineering and the Megatrends. Also tells the modifications in the data design philosophy and tooling.View the full article

  45. Why you should use open-source software to build your analytics stack and the types of tools you need along with some popular open-source examples of each.View the full article

  46. This article summarizes what RudderStack CEO Soumyadeb Mitra learned in both building and buying customer data pipelines over the last ten years.View the full article

  47. In part one of this two part series on data collection, you'll learn how to collect event data. View the full article

  48. Reverse ETL is nothing but just another data pipeline that carries data from one end to another, & Single Pipe Simplifies Your Stack, Security & Data governanceView the full article

  49. The Mattermost Data Stack finally explained by the RudderStack. Also tells the open-source and values along with strict data privacy & security requirement.View the full article

  50. How to collect relational data from both cloud applications and databases, plus two other lesser, but still important, sources of data.View the full article