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[ONLINE] Big data meetup (Apache Druid) hosted by Imply

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Hosted By
Srikanth S. and Abhishek A.
[ONLINE] Big data meetup (Apache Druid) hosted by Imply

Details

Zoom link - https://imply-io.zoom.us/j/9046278839

Agenda

3:05 - Opening remarks
3:10 - Apache Druid - Road ahead, Eric Tschetter
3:50 - Real Time, High Concurrency Use Case in Fraud Detection, Kundhan Jha
4:30 - Break
4:40 - Realtime Classroom Analytics Powered By Apache Druid, Karthik Deivasigamani
5:20 - Clickstream Analytics @ Flipkart, Robin KC

Title : Apache Druid - Road ahead
Abstract: We will discuss the latest developments in Druid in the 0.22 release as well as talk about our hopes and aspirations for the project and community going forward.
Speaker: Eric Tschetter, Field CTO at Imply
Eric Tschetter has the honor of writing the first line of code on Apache Druid. Eric currently holds a position with Imply as Field CTO. He has a varied career working with data in the Valley spanning work at startups like Metamarkets and Ning to work at larger enterprises like Yahoo!, LinkedIn, and Splunk. His primary interests are in building and connecting technology with value-accretive products.

Title: Real Time, High Concurrency Use Case in Fraud Detection
Abstract: Games24x7 offers multiple casual as well as real money cash games to its users. To maintain a healthy environment for our players onboard we constantly lookout for any elements who would try to win by unethical means in the game. One of our teams works dedicatedly to
identifying the pattern in which these frauds are performed. We are using druid to identify those users who follow this set of patterns, and we mark them as fraud users.
Speaker: Kundan Jha, Senior Data Engineer at PlayGames24x7
Kundan Jha has experience in building data pipelines, ETL, and reports for more than 8 years. He has mostly worked with Spark, Impala and Hive-like tools, but since last year, he has been using Druid for his real-time use cases and finds it very useful.

Title : Realtime Classroom Analytics Powered By Apache Druid
Abstract : At Noon – The Social Learning Platform, on a daily basis we process close to 100M audio, sketch samples from more than 80K students to help measure the voice & sketch quality of our online classrooms. This talk explores the need for real time analytics in EdTech, how we built a real time analytics platform on Apache Druid & Apache Flink to provide realtime feedback on classroom quality & engagement metrics. We will also share some of the lessons we learnt along the way.
Speaker: Karthik Deivasigamani, Chief Architect at Noon
Karthik Deivasigamani is Chief Architect at Noon Academy, leading their efforts to build a social learning platform. Earlier at Walmart Labs, he was instrumental in developing a product knowledge graph for Walmart eCommerce to help customers discover products easily. He has also spent considerable time at Yahoo! working on their homepage and content recommendation systems.

Title: Clickstream Analytics @ Flipkart
Abstract: At Flipkart, business and analytics teams need constant visibility into how the users are interacting with the platform across all channels - Website, Mobile Apps and M-Site. Real-time clickstream analytics reports enable our business teams to make critical decisions based on current traffic patterns and plan automated as well as manual interventions for traffic shaping.

Clickstream Analytics @ Flipkart is supported by our homegrown platform Euclid This talk explores the functional and non-functionalchallenges of solving clickstream analytics at scale and how Druid fits into the architecture as a keystone infrastructure piece. We also discuss certain challenges we faced and how we have worked around them in our end-to-end architecture.
Speaker: Robin KC
Robin KC is working as Senior Architect @ Flipkart with the Flipkart Data Platform team. Deeply plugged into Stream Processing architectures at scale along with reporting and analytics. Mostly working on open source tech stacks in the Big Data domain like Spark, Flink, Kafka, Hbase, Druid, ElasticSearch

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