Kaniska Mandal

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Active participant in the design and development of scalable, high-impact in-house/ global products like Walmart Labs ~ Data Pipeline Tools, Data Analytics Apps, Dell Kitenga Predictive Analytics and Big Data Search Tool, Dell Cloud Business Analytics SaaS Platform, eBay Platform Diagnostics Tool, Tibco ActiveMatrix SOA Studio, Tibco Rules Engine Designer, JackBe Presto Mashup Studio, Stagirus S2 Asset Manager, Progress OpenEdge Architect, Oracle iSetup ALM tool, JnJ Centocor Clinical tools, CHOiCE eGovernance System. Specialties: Extensive experience in designing and implementing : -- High-Volume , Low-latency Data Analysis Tools (highly paralleled, large vol data ingestion - patented ...

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Kaniska Mandal

Breaking Through The Challenges of Scalable Deep Learning for Video Analytics

ORC Improvement & Roadmap in Apache Spark 2.3 and 2.4

Use r tutorial part1, introduction to sparkr

RedisConf17 - Distributed Java Map Structures and Services with Redisson

Building Streaming Applications with Apache Storm 1.1

Achieving Real-time Ingestion and Analysis of Security Events through Kafka and Storm

Uber's data science workbench

The Columnar Era: Leveraging Parquet, Arrow and Kudu for High-Performance Analytics

Integrating Apache Spark and NiFi for Data Lakes

DC Spark Users Group March 15 2016 - Spark and Netflix Recommendations

From stream to recommendation using apache beam with cloud pubsub and cloud dataflow

Apache Flink at Strata San Jose 2016

Moon soo Lee – Data Science Lifecycle with Apache Flink and Apache Zeppelin

Stateful Stream Processing at In-Memory Speed

Extending the Yahoo Streaming Benchmark

High cardinality time series search: A new level of scale - Data Day Texas 2016

Hadoop at aadhaar

E commerce data migration in moving systems across data centres

Arno candel scalabledatascienceanddeeplearningwithh2o_reworkboston2015

(BDT303) Running Spark and Presto on the Netflix Big Data Platform