When and When Not to Use Apache Kafka as a Database

Data Science Tech Brief By HackerNoon

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Dreaming Up Barbara with Old Dominion 21:07

14 روز پیش21:07

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21:07

The members of Old Dominion spent years in Nashville crafting a sound and trying to break through. After another label passed, their manager asked if they wanted to keep going. The guys had one answer: “If they don’t like it, that’s fine.” Country Thunder CEO Troy Vollhoffer welcomes one of his favorite country bands, Old Dominion, to the show. The members of Old Dominion detail their origin story and how they played in different bands on the same circuit before teaming up. Troy recalls the first time he booked them for a festival and how tenacious OD was from the start. The bandmates share how shocking it was to discover so many fans in Canada, and reveal how Barbra came to be.…

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This story was originally published on HackerNoon at: https://hackernoon.com/when-and-when-not-to-use-apache-kafka-as-a-database.
Discover how Apache Kafka’s data retention and querying capabilities make it similar to a database and learn when to use Kafka for database-like use cases.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #apache-kafka, #kafka-vs-database, #kafka-as-a-database, #real-time-data-processing, #database-management, #kafka-querying-capabilities, #open-source-event-streaming, #apache-kafka-for-data-storage, and more.
This story was written by: @aahil. Learn more about this writer by checking @aahil's about page, and for more stories, please visit hackernoon.com.
Apache Kafka, while not a traditional database, has database-like properties such as data retention and querying capabilities. This article explores when Kafka can be used for database-like purposes and when it is best suited as a streaming platform.

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Data Science Tech Brief By HackerNoon

When and When Not to Use Apache Kafka as a Database

Data Science Tech Brief By HackerNoon

published حدود یک سال پیش

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Data Science Tech Brief By HackerNoon

1
From Data Fragmentation to Billion-Dollar Insights: The Vision of Manish Ravindra Sharath 7:19

14 روز پیش7:19

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This story was originally published on HackerNoon at: https://hackernoon.com/from-data-fragmentation-to-billion-dollar-insights-the-vision-of-manish-ravindra-sharath . Manish Ravindra Sharath unified fragmented enterprise data using PySpark & cloud-native systems,boosting efficiency 99% and driving multimillion-dollar growth. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #enterprise-data-engineering , #manish-ravindra-sharath , #pyspark-data-pipeline , #cloud-data-architecture , #data-modernization-strategy , #hybrid-data-infrastructure , #enterprise-analytics , #good-company , and more. This story was written by: @sanya_kapoor . Learn more about this writer by checking @sanya_kapoor's about page, and for more stories, please visit hackernoon.com . Manish Ravindra Sharath transformed enterprise decision-making by architecting a unified PySpark-powered data pipeline that cut reporting time from 30+ hours to 30 minutes. His system achieved 99% efficiency, 40% cost reduction, and 30% faster deal closures—turning fragmented data into billion-dollar insights driving global business performance.…

Data Science Tech Brief By HackerNoon

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Building a Layered Defense Against Web Scraping 8:43

14 روز پیش8:43

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This story was originally published on HackerNoon at: https://hackernoon.com/building-a-layered-defense-against-web-scraping . Discover how a three-layer data-protection model blends AI, risk-based gating, and legal context to stop web scraping while preserving user trust. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #web-scraping , #data-protection , #ai-security , #product-strategy , #web-scraping-protection , #bot-mitigation , #risk-based-gating , #data-security-strategy , and more. This story was written by: @areejit1 . Learn more about this writer by checking @areejit1's about page, and for more stories, please visit hackernoon.com . The web-scraping industry is no longer niche. Valued at USD 1.03 billion in 2025, it is projected to nearly double by 2030. Traditional defenses rate limiting, CAPTCHAs, IP bans are brittle against modern toolkits. A layered defense acknowledges this tension.…

Data Science Tech Brief By HackerNoon

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Cosmo: The Graph Visualization Tool Built for Your Terminal 2:56

21 روز پیش2:56

2:56

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Data Science Tech Brief By HackerNoon

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How Businesses Are Turning Space Data into a Tool for Risk, Resilience, and Sustainability 6:06

29 روز پیش6:06

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Data Science Tech Brief By HackerNoon

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How Data Innovation Changed a State’s Infrastructure Engine 7:44

۵ weeks پیش7:44

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Data Science Tech Brief By HackerNoon

1
How to Optimize Your Marketing Budget Using Just Three Letters: MMM 7:26

۷ weeks پیش7:26

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This story was originally published on HackerNoon at: https://hackernoon.com/how-to-optimize-your-marketing-budget-using-just-three-letters-mmm . Marketing Mix Modeling is a statistical analysis method used in marketing to determine the optimal allocation of resources. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-science , #marketing-analytics , #machine-learning , #marketing , #marketing-budget , #marketing-mix-modeling , #media-mix-modelling , #adstock-and-saturation , and more. This story was written by: @radiokocmoc_l45iej08 . Learn more about this writer by checking @radiokocmoc_l45iej08's about page, and for more stories, please visit hackernoon.com . Marketing Mix Modeling is a statistical analysis method used in marketing to determine the optimal allocation of resources. The goal of media mix modelling is to understand the impact of different marketing channels on the overall campaign effectiveness. Join me to discover how to optimise the marketing budget by implementing Robyn MMM.…

Data Science Tech Brief By HackerNoon

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۷ weeks پیش12:42

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Data Science Tech Brief By HackerNoon

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۷ weeks پیش13:23

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Data Science Tech Brief By HackerNoon

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From "Decentralized" to "Unified": SUPCON Uses SeaTunnel to Build an Efficient Data Collection Frame 16:17

۷ weeks پیش16:17

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Data Science Tech Brief By HackerNoon

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Enterprise Data Pipeline Revolution: Suresh Palli's Metadata-Driven Automation Success 7:50

۸ weeks پیش7:50

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This story was originally published on HackerNoon at: https://hackernoon.com/enterprise-data-pipeline-revolution-suresh-pallis-metadata-driven-automation-success . Suresh Palli revolutionized enterprise data pipelines with metadata-driven automation, cutting dev time 40% and boosting scalability 5x. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #suresh-palli , #metadata-driven-automation , #enterprise-data-pipelines , #data-pipeline-automation , #metadata-governance , #enterprise-data-architecture , #scalable-data-processing , #good-company , and more. This story was written by: @sanya_kapoor . Learn more about this writer by checking @sanya_kapoor's about page, and for more stories, please visit hackernoon.com . Suresh Palli led a metadata-driven automation project that cut pipeline development time by 40% and scaled data processing 5x. His centralized metadata governance enabled dynamic adaptation, seamless orchestration, and cross-unit alignment. The success earned industry recognition, consulting opportunities, and set new benchmarks for enterprise data automation.…

Data Science Tech Brief By HackerNoon

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۸ weeks پیش7:51

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Data Science Tech Brief By HackerNoon

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Data-Driven Decisions at Scale: A/B Testing Best Practices for Engineering & Data Science Teams 5:59

۸ weeks پیش5:59

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Data Science Tech Brief By HackerNoon

1
Why You Should (Almost) Always Choose Sync Gunicorn Workers 6:09

۸ weeks پیش6:09

6:09

This story was originally published on HackerNoon at: https://hackernoon.com/why-you-should-almost-always-choose-sync-gunicorn-over-workers-ze9c32wj . Anyone working on a WSGI web application frameworks like Flask would know that as a best practice it is very important to use a WSGI HTTP Server like Gunicorn to deploy the app outside your development servers. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #python-programming , #gevent , #gunicorn , #python-web-development , #flask , #flask-deployment , #latest-tech-stories , #what-are-gunicorn-worker-types , and more. This story was written by: @shamik-ray . Learn more about this writer by checking @shamik-ray's about page, and for more stories, please visit hackernoon.com . Gunicorn is a widely popular WSGI Server and its popularity is because it is lightweight, fast, simple yet can support most of the requirements you would have to host an app on production. The default worker type is Sync and I will be arguing for it. Async workers like Gevent create new greenlets (lightweight pseudo threads) Every time a new request comes they are handled by greenlets spawned by the worker threads. At the same time, the resources needed to serve the requests will be less.…

Data Science Tech Brief By HackerNoon

1
Beyond the Ten Blue Links: How Generative AI Rewires Our Brains for Search 7:26

۸ weeks پیش7:26

7:26

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Data Science Tech Brief By HackerNoon

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Need Web Data? Here Are the 3 Methods Everyone’s Using 10:09

۸ weeks پیش10:09

10:09

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Data Science Tech Brief By HackerNoon

1
Applying Transitive Closure to Sort Products Into Categories, Considering Nesting and Overlaps 15:50

۸ weeks پیش15:50

15:50

This story was originally published on HackerNoon at: https://hackernoon.com/applying-transitive-closure-to-sort-products-into-categories-considering-nesting-and-overlaps . A guide to efficiently managing nested categories and overlapping products, ensuring fast retrieval without duplicates in e-commerce systems. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-management , #software-architecture , #product-categorization , #graph-theory , #microservices , #optimize-data-storage , #transitive-closure , #advanced-indexing , and more. This story was written by: @egorgrushin . Learn more about this writer by checking @egorgrushin's about page, and for more stories, please visit hackernoon.com . Handling product categorization in e-commerce can be quite the task, especially when nested categories and overlapping products make efficient retrieval without duplicates a real challenge. The method I found has a major impact on performance: setting up proper data storage, separating data for reading and modification, using relational and NoSQL databases, and applying graph theory to handle complex category nesting. The step-by-step guide shows how to sort out efficient data storage, use transitive closure for advanced indexing, build a service to maintain and update the graph, and take advantage of database indexing to avoid unnecessary sorting in RAM.…

Data Science Tech Brief By HackerNoon

1
98% of Data Strategies Fail: Let's Fix It 11:24

1 year پیش11:24

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This story was originally published on HackerNoon at: https://hackernoon.com/98percent-of-data-strategies-fail-lets-fix-it . Learn how to fix failing data strategies using the '5 W's' framework. Transform your approach to KPIs and drive real business value with actionable insights. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-strategy , #kpi-management , #business-intelligence , #data-driven-decisions , #executive-leadership , #analytics-roi , #data-roi , #data-governance , and more. This story was written by: @liorb . Learn more about this writer by checking @liorb's about page, and for more stories, please visit hackernoon.com . Even the most well-equipped organizations can find themselves serving up a mess instead of actionable insights. Here's a step-by-step process of fixing your data strategy, ensuring that you're serving up actionable data instead of a recipe for disaster. In the following sections, we'll dive into the common data strategy nightmares.…

Data Science Tech Brief By HackerNoon

1
How To Measure The Results Of In-App Events When Onelinks Don’t Work 5:59

1 year پیش5:59

5:59

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-measure-the-results-of-in-app-events-when-onelinks-dont-work . How To Measure The Results Of In-App Events When Onelinks Don’t Work Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #analytics , #onelink , #inapp-events , #marketing , #app-store , #mobile-apps , #digital-marketing , #good-company , and more. This story was written by: @socialdiscoverygroup . Learn more about this writer by checking @socialdiscoverygroup's about page, and for more stories, please visit hackernoon.com . Many app developers and marketing managers face the challenge of accurately measuring the impact of In-App Events (IAEs) on the App Store. While IAEs have proven effective for re-engaging users, attracting new downloads, and increasing revenue, traditional tracking methods like OneLink don’t actually include IAEs. Major mobile attribution platforms confirm that currently there is no way to track IAEs properly. At Social Discovery Group, our portfolio of 60+ dating and entertainment brands is supported by a team of over 100 marketers dedicated to app growth and development. We’re used to measuring all our marketing efforts in terms of financial value. Eventually, we’ve managed to develop our own composite way to evaluate IAEs, and are going to share it with you.…

Data Science Tech Brief By HackerNoon

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How AI-Powered Data Mapping is Democratizing Data Management 8:10

1 year پیش8:10

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This story was originally published on HackerNoon at: https://hackernoon.com/how-ai-powered-data-mapping-is-democratizing-data-management . Learn how AI-powered data mapping is transforming data management, making it more accessible and efficient for everyone. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-mapping , #data-management , #big-data , #ai-powered , #ai-powered-data-management , #democratizing-data-management , #data-science , #ai-powered-data-mapping , and more. This story was written by: @kristenburke . Learn more about this writer by checking @kristenburke's about page, and for more stories, please visit hackernoon.com . AI is revolutionizing data mapping by automating and simplifying the process, making data management more efficient and accessible for businesses and non-technical users alike.…

Data Science Tech Brief By HackerNoon

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Data Engineering: What’s the Value of API Security in the Generative AI Era? 5:47

1 year پیش5:47

5:47

This story was originally published on HackerNoon at: https://hackernoon.com/data-engineering-whats-the-value-of-api-security-in-the-generative-ai-era . Discover the importance of API security in the age of Generative AI. Learn how robust API protection ensures data integrity. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-engineering , #generative-ai , #ai-regulation , #api-security , #data-security , #data-privacy , #threat-detection , #cybersecurity-best-practices , and more. This story was written by: @karthikrajashekaran . Learn more about this writer by checking @karthikrajashekaran's about page, and for more stories, please visit hackernoon.com . API security is crucial in the era of Generative AI, ensuring data integrity, protecting user privacy, and enabling secure and efficient AI integration. Robust API protection helps prevent unauthorized access, data breaches, and potential misuse of AI capabilities.…

Data Science Tech Brief By HackerNoon

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1 year پیش7:15

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This story was originally published on HackerNoon at: https://hackernoon.com/say-goodbye-to-outdated-diagrams-automate-your-infrastructure-visualization . Automate your infrastructure diagrams. Guide helps you maintain fresh, accurate visuals with minimal effort, perfect for managing Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #visualization , #cloud-infrastructure , #terraform , #diagram , #infrastructure-as-code , #cloud , #aws , #infrastructure-visualization , and more. This story was written by: @vladimirf . Learn more about this writer by checking @vladimirf's about page, and for more stories, please visit hackernoon.com . Tired of making awesome infrastructure diagrams that become outdated as soon as you save them? Yeah, me too. Luckily, there are tools out there to help.…

Data Science Tech Brief By HackerNoon

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1 year پیش6:45

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This story was originally published on HackerNoon at: https://hackernoon.com/why-c-suite-executives-wont-cut-it-without-data-skills-anymore . Modern executives must master data skills to navigate data privacy, cybersecurity, and strategic decisions. Learn why C-suite leaders can't afford to lag behind Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-literacy , #thought-leadership , #leadership-skills , #data-skills , #data-governance , #data-visualization-tools , #cybersecurity-executives , #hackernoon-top-story , and more. This story was written by: @znenad079 . Learn more about this writer by checking @znenad079's about page, and for more stories, please visit hackernoon.com . Every industry generates massive amounts of data, which is now being used for better decision-making. One of today’s most pressing challenges for executives is data privacy concerns and cybersecurity. Modern executives must have data skills to understand the flow of valuable data in their company and know how to make it work for them.…

Data Science Tech Brief By HackerNoon

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Meet New & Improved BigQuery: Single, Unified AI-Ready Data Platform 10:20

1 year پیش10:20

10:20

This story was originally published on HackerNoon at: https://hackernoon.com/meet-new-and-improved-bigquery-single-unified-ai-ready-data-platform . Google has gone a step further and unified key data Google Cloud analytics capabilities under BigQuery - now the single, AI-ready data analytics platform. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analytics , #google-bigquery , #bigquery-and-google-cloud , #ai-integration , #big-query-and-gemini , #good-company , #hackernoon-top-story , #real-time-data-analytics , and more. This story was written by: @googlecloud . Learn more about this writer by checking @googlecloud's about page, and for more stories, please visit hackernoon.com . We’ve gone a step further and unified key data Google Cloud analytics capabilities under BigQuery, which is now the single, AI-ready data analytics platform. BigQuery incorporates key capabilities from multiple Google Cloud analytics services into a single product experience that offers the simplicity and scale you need to manage structured data in BigQuery tables, unstructured data like images, audience and documents, and streaming workloads, all with the best price-performance.…

Data Science Tech Brief By HackerNoon

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Decoding Transformers' Superiority over RNNs in NLP Tasks 9:38

1 year پیش9:38

9:38

This story was originally published on HackerNoon at: https://hackernoon.com/decoding-transformers-superiority-over-rnns-in-nlp-tasks . Explore the intriguing journey from Recurrent Neural Networks (RNNs) to Transformers in the world of Natural Language Processing in our latest piece: 'The Trans Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #nlp , #transformers , #llms , #natural-language-processing , #large-language-models , #rnn , #machine-learning , #neural-networks , and more. This story was written by: @artemborin . Learn more about this writer by checking @artemborin's about page, and for more stories, please visit hackernoon.com . Despite Recurrent Neural Networks (RNNs) designed to mirror certain aspects of human cognition, they've been surpassed by Transformers in Natural Language Processing tasks. The primary reasons include RNNs' issues with the vanishing gradient problem, difficulty in capturing long-range dependencies, and training inefficiencies. The hypothesis that larger RNNs could mitigate these issues falls short in practice due to computational inefficiencies and memory constraints. On the other hand, Transformers leverage their parallel processing ability and self-attention mechanism to efficiently handle sequences and train larger models. Thus, the evolution of AI architectures is driven not only by biological plausibility but also by practical considerations such as computational efficiency and scalability.…

Data Science Tech Brief By HackerNoon

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How to Enable Auto-Start for Apache DolphinScheduler 4:18

1 year پیش4:18

4:18

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-enable-auto-start-for-apache-dolphinscheduler . To set DolphinScheduler to start automatically upon system boot, you typically need to configure it as a system service. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #bigdata , #data-science , #workflow-automation , #linux , #how-to-enable-auto-start , #apache-dolphinscheduler , #apache-dolphinscheduler-guide , and more. This story was written by: @williamguo . Learn more about this writer by checking @williamguo's about page, and for more stories, please visit hackernoon.com . To set DolphinScheduler to start automatically upon system boot, you typically need to configure it as a system service. The following are general steps, which may vary depending on your operating system.…

Data Science Tech Brief By HackerNoon

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Benchmarking Apache Kafka: Performance-per-price 13:11

1 year پیش13:11

13:11

This story was originally published on HackerNoon at: https://hackernoon.com/benchmarking-apache-kafka-performance-per-price . This is a study comparing environments for Apache Kafka. The ultimate goal is to find the most effective setup and achieve the best price-performance ratio. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #apache-kafka , #amd , #arm , #aws , #gcp , #kafka-performance , #benchmarking-apache-kafka , #hackernoon-top-story , and more. This story was written by: @mishaepikhin . Learn more about this writer by checking @mishaepikhin's about page, and for more stories, please visit hackernoon.com . ARM rocks. Modern expensive architecture does not always mean “better”.…

Data Science Tech Brief By HackerNoon

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When and When Not to Use Apache Kafka as a Database 9:26

1 year پیش9:26

9:26

This story was originally published on HackerNoon at: https://hackernoon.com/when-and-when-not-to-use-apache-kafka-as-a-database . Discover how Apache Kafka’s data retention and querying capabilities make it similar to a database and learn when to use Kafka for database-like use cases. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #apache-kafka , #kafka-vs-database , #kafka-as-a-database , #real-time-data-processing , #database-management , #kafka-querying-capabilities , #open-source-event-streaming , #apache-kafka-for-data-storage , and more. This story was written by: @aahil . Learn more about this writer by checking @aahil's about page, and for more stories, please visit hackernoon.com . Apache Kafka, while not a traditional database, has database-like properties such as data retention and querying capabilities. This article explores when Kafka can be used for database-like purposes and when it is best suited as a streaming platform.…

Data Science Tech Brief By HackerNoon

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A Leader's Guide to Data-Driven Success 7:35

1 year پیش7:35

7:35

This story was originally published on HackerNoon at: https://hackernoon.com/a-leaders-guide-to-data-driven-success . Transform data from a source of frustration into a powerful business tool with this practical guide for executives. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-strategy , #business-insights , #data-management , #data-literacy , #data-analytics , #business-growth , #information-overload , #business-strategy , and more. This story was written by: @liorb . Learn more about this writer by checking @liorb's about page, and for more stories, please visit hackernoon.com . Despite having more information than ever, making informed decisions seems increasingly challenging. This guide is designed to help you transform data from a source of frustration into a powerful tool for driving business growth. From my own experience, I've seen professionals dedicating up to 50% of their workweek to validating data.…

Data Science Tech Brief By HackerNoon

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Seamlessly Migrate Your On-Premise Data Pipeline to Azure with These Key Steps 12:35

1 year پیش12:35

12:35

This story was originally published on HackerNoon at: https://hackernoon.com/seamlessly-migrate-your-on-premise-data-pipeline-to-azure-with-these-key-steps . Scaling AI/ML Data Needs: Migrating On-Premise Data Engineering Workloads to Azure Cloud Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-engineering , #azure-data-factory , #data-pipeline-migration , #azure-migration , #azure-data-integration , #cloud-data-transfer , #cloudera-to-azure , #azure-security-compliance , and more. This story was written by: @amlanpatnaik . Learn more about this writer by checking @amlanpatnaik's about page, and for more stories, please visit hackernoon.com . This guide details the process of migrating an on-premise Cloudera data system to Azure, covering key considerations, challenges, and best practices to ensure a smooth and secure transition.…

Data Science Tech Brief By HackerNoon

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Data Collection for Product Managers 7:55

1 year پیش7:55

7:55

This story was originally published on HackerNoon at: https://hackernoon.com/data-collection-for-product-managers . Discover how product managers can bridge the gap between intuition and data to optimize product improvement with best practices and real-world examples. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-collection , #startups , #data-product-management , #data-driven-insights , #data-driven-decision-making , #product-manager , #product-management-tips , #how-to-collect-data , and more. This story was written by: @carolinagarcia . Learn more about this writer by checking @carolinagarcia's about page, and for more stories, please visit hackernoon.com . Discover how product managers can bridge the gap between intuition and data to optimize product improvement. This guide explores the importance of data-driven decision-making, offering best practices and real-world examples from companies like NuBank, Monzo, Deliveroo, and Booking.com. Learn how to acquire insights from customer feedback, track performance metrics, monitor market trends, and refine product roadmaps through iterative experimentation. Become a data-driven PM and create products that users will love.…

Data Science Tech Brief By HackerNoon

1 year پیش10:50

10:50

This story was originally published on HackerNoon at: https://hackernoon.com/the-linkedin-nanotargeting-experiment-that-broke-all-the-rules . Discover how a groundbreaking nanotargeting experiment on LinkedIn defies audience size restrictions, unlocking new ad campaign strategies. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #nanotargeting , #online-advertising , #user-privacy , #user-data-security , #hyper-personalized-ads , #public-data-risks , #linkedin-advertising , #hackernoon-top-story , and more. This story was written by: @netizenship . Learn more about this writer by checking @netizenship's about page, and for more stories, please visit hackernoon.com . A study demonstrates the feasibility of nanotargeting on LinkedIn, bypassing audience size restrictions and achieving successful campaigns by employing JavaScript code to reactivate campaign launch buttons, employing various targeting strategies, and verifying success through campaign metrics and user interaction.…

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When and When Not to Use Apache Kafka as a Database

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When and When Not to Use Apache Kafka as a Database