Deep.BI (@_deepbi) 's Twitter Profile
Deep.BI

@_deepbi

Enterprise data pipelines powered by Apache Druid, Flink and Kafka.

ID: 3537360077

linkhttps://deep.bi calendar_today03-09-2015 20:09:58

811 Tweet

966 Followers

901 Following

INMA (@inmaorg) 's Twitter Profile Photo

Being a registered user to a news site is found to be universally the most predictive feature indicated by five propensity to buy models. ow.ly/UMP350zXkEW Deep.BI Grzegorz Piechota

Being a registered user to a news site is found to be universally the most predictive feature indicated by five propensity to buy models. ow.ly/UMP350zXkEW <a href="/_DeepBI/">Deep.BI</a> <a href="/g_piechota/">Grzegorz Piechota</a>
INMA (@inmaorg) 's Twitter Profile Photo

Two experiments carried by mid-sized publishers in Europe and in Asia show the promise of propensity models when applied to paywall targeting. ow.ly/Ignv50zXkEi Deep.BI Grzegorz Piechota

Two experiments carried by mid-sized publishers in Europe and in Asia show the promise of propensity models when applied to paywall targeting. ow.ly/Ignv50zXkEi <a href="/_DeepBI/">Deep.BI</a> <a href="/g_piechota/">Grzegorz Piechota</a>
INMA (@inmaorg) 's Twitter Profile Photo

Targeted paywalls stop readers selected with advanced analytics techniques, such as data mining, statistics, modelling, and machine learning. ow.ly/7cEU50zXkEt Deep.BI Grzegorz Piechota

Targeted paywalls stop readers selected with advanced analytics techniques, such as data mining, statistics, modelling, and machine learning. ow.ly/7cEU50zXkEt <a href="/_DeepBI/">Deep.BI</a> <a href="/g_piechota/">Grzegorz Piechota</a>
Hisham Itani-Kleinschmidt (@hishamitani) 's Twitter Profile Photo

Make sure to join us in 30 mins at INMA's Digital Subscriber Retention Master Class today organized by Grzegorz Piechota where our Head of AI Engineering Michał will be presenting how #publishers can use data and #AI to build models which predict and prevent #churn! #subscriptions

Make sure to join us in 30 mins at <a href="/INMAorg/">INMA</a>'s Digital Subscriber Retention Master Class today organized by <a href="/g_piechota/">Grzegorz Piechota</a> where our Head of AI Engineering Michał will be presenting how #publishers can use data and #AI to build models which predict and prevent #churn! #subscriptions
Hisham Itani-Kleinschmidt (@hishamitani) 's Twitter Profile Photo

.Jaguar, Land Rover Discovery and BMW all launch subscription services for their vehicles, citing extra features their customers can enjoy. Some early signs showing that people do NOT like this approach, more to be seen in the future. #subscriptions autoblog.com/2020/07/03/jag…

Hisham Itani-Kleinschmidt (@hishamitani) 's Twitter Profile Photo

A reader's Loyalty Score is the biggest determining factor of that reader's propensity to churn according to Deep.BI, followed by long-term RFV (recency, frequency, volume) change and visit frequency. Get in touch to find out more! #churn #retention #subscriptions

A reader's Loyalty Score is the biggest determining factor of that reader's propensity to churn according to <a href="/_DeepBI/">Deep.BI</a>, followed by long-term RFV (recency, frequency, volume) change and visit frequency. Get in touch to find out more! #churn #retention #subscriptions
INMA (@inmaorg) 's Twitter Profile Photo

.Deep.BI insight: The most predictive machine learning algorithm was the time since the first visit ever by a reader, or the tenure, measured by days and then translated into a loyalty score. ow.ly/RfFM50Aqb6c Grzegorz Piechota

.<a href="/_DeepBI/">Deep.BI</a> insight: The most predictive machine learning algorithm was the time since the first visit ever by a reader, or the tenure, measured by days and then translated into a loyalty score. ow.ly/RfFM50Aqb6c <a href="/g_piechota/">Grzegorz Piechota</a>
Deep.BI (@_deepbi) 's Twitter Profile Photo

Make sure to get in touch with us, Ahmad Eldefrawy or Sebastian Zontek if you'd like to learn more! If you miss the meetup make sure to check out DataOps Polska's YouTube channel for the upload.

Flink Forward (@flinkforward) 's Twitter Profile Photo

In this #flinkforward talk, Michal Ciesielczyk from Deep.BI discusses how their team built a data pipeline with Apache Flink for use cases such as fraud detection, A/B test control, content scoring, and user engagement modelling. 👀📺: bit.ly/2KPqGVL

In this #flinkforward talk, Michal Ciesielczyk from <a href="/_DeepBI/">Deep.BI</a> discusses how their team built a data pipeline with <a href="/ApacheFlink/">Apache Flink</a> for use cases such as fraud detection, A/B test control, content scoring, and user engagement modelling.

👀📺: bit.ly/2KPqGVL
Deep.BI (@_deepbi) 's Twitter Profile Photo

#ApacheDruid for #AI? Watch our talk at #DruidSummit about our open-source Spark Druid Connector that we've built to help data scientist make use of Apache Druid data. Dec 6, register for free! Imply

Deep.BI (@_deepbi) 's Twitter Profile Photo

🔐Enhance the security of your #ApacheDruid deployment with Basic Role-Based Access Control (#RBAC). Learn how to implement RBAC in this comprehensive tutorial: deep.bi/blog/implement…. Follow us for updates & stay tuned for more insights on optimizing your Apache Druid setup.

Deep.BI (@_deepbi) 's Twitter Profile Photo

Are you looking for a reliable open-source visualization tool for Apache Druid? 📊🔗 Then Grafana is the one to consider. Check out our comprehensive step-by-step tutorial on integrating with Grafana: 👉 deep.bi/blog/integrati… Discover how to create informative dashboards and

Deep.BI (@_deepbi) 's Twitter Profile Photo

📊Monitoring Apache Druid in Grafana: Learn how to track essential metrics like query performance, indexing, and system health with easy-to-follow steps and sample dashboards in our latest tutorial: deep.bi/blog/monitorin… #DataAnalytics #Grafana #ApacheDruid #SystemMonitoring

Deep.BI (@_deepbi) 's Twitter Profile Photo

📘 Learn how to integrate Apache Druid with Cube.js to implement fine-grained access control for secure multi-tenant data management with our new guide: deep.bi/blog/integrati… #DataSecurity #ApacheDruid #CubeJS #FGAC #ITSecurity #DataManagement #MultiTenancy #TechTutorial

Deep.BI (@_deepbi) 's Twitter Profile Photo

Simplifying Druid monitoring just got easier! 🚀 Our team developed a solution using Druid, Kafka, and Grafana - no Prometheus needed. Streamline your data workflows and overcome monitoring challenges. Learn more in our latest blog post: deep.bi/blog/monitorin… #DataScience

Deep.BI (@_deepbi) 's Twitter Profile Photo

New tutorial! Unlock real-time business insights with Apache Druid + Apache Superset — connect, visualize, and explore data at scale. 👉 deep.bi/blog/real-time… #RealTimeBI #ApacheDruid #ApacheSuperset #DeepBI

Deep.BI (@_deepbi) 's Twitter Profile Photo

Data vanished in Apache Druid after ingestion? It might just be overshadowed. Learn how segment versioning works + how to restore older segments: deep.bi/blog/managing-… #ApacheDruid #DataEngineering #StreamingData #RealTimeAnalytics

Deep.BI (@_deepbi) 's Twitter Profile Photo

StarRocks is fast. Backups at scale are not trivial. We’re introducing starrocks-backup-and-restore – a production-grade approach to incremental, partition-level backups with full metadata tracking. Why it matters 👇 deep.bi/blog/introduci… #StarRocks #DataEngineering #OLAP

Deep.BI (@_deepbi) 's Twitter Profile Photo

Following up on our earlier blog post on production-grade backups for StarRocks, this article is a hands-on guide to running full & incremental backups and safely restoring tables with starrocks-backup-and-restore. 👉deep.bi/blog/productio… #StarRocks #DataEngineering