Ravi kant Gupta
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Personal Information
Organization / Workplace
New Delhi Area, India India
Occupation
Engineering Manager at Paytm
Industry
Technology / Software / Internet
Website
http://communities.siliconindia.com/ReshDoll4u
About
devotee of human engineering  Strong product development and R&D experience of eBay-CSC, SAP labs, Xebia, Talentica(Vuclip), Gramvaani, peopleStrong  Visionary in Product conceptualisation, analysing market trends and strategic product planning, creative thinking.  Product-process-productivity enrichment and optimization.  People management, client engagement and partnership, time-bound quality delivery of products.  Expertise in design, development of algorithms and their various types of analysis and optimization through various techniques.  Software performance engineering and scalability.  Confident of Java, data structures, design patterns, OOPs concept, having well exposure...
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Likes (122)
See all
Stateful on Stateless - The Future of Applications in the Cloud
Markus Eisele • 3 years ago
Saturn 2018: Managing data consistency in a microservice architecture using Sagas
Chris Richardson • 4 years ago
CommunityOneEast 09 - Running Java On Amazon EC2
Chris Richardson • 13 years ago
Artificial neural network_tutorial
HarikaReddy115 • 4 years ago
Big data analytics_tutorial
HarikaReddy115 • 4 years ago
Bootstrap tutorial
HarikaReddy115 • 4 years ago
Java8 tutorial
HarikaReddy115 • 4 years ago
Jquery mobile tutorial
HarikaReddy115 • 4 years ago
Jquery tutorial
HarikaReddy115 • 4 years ago
Gwt tutorial
HarikaReddy115 • 4 years ago
Hibernate tutorial
HarikaReddy115 • 4 years ago
Agile testing tutorial
HarikaReddy115 • 4 years ago
Consul tutorial
HarikaReddy115 • 4 years ago
Git tutorial
HarikaReddy115 • 4 years ago
Kubernetes tutorial
HarikaReddy115 • 4 years ago
Logstash tutorial
HarikaReddy115 • 4 years ago
Scrapy tutorial
HarikaReddy115 • 4 years ago
Software testing tutorial
HarikaReddy115 • 4 years ago
Unix tutorial
HarikaReddy115 • 4 years ago
Lua tutorial
HarikaReddy115 • 3 years ago
Oauth2.0 tutorial
HarikaReddy115 • 3 years ago
Objective c tutorial
HarikaReddy115 • 3 years ago
Pyspark tutorial
HarikaReddy115 • 3 years ago
Python pandas tutorial
HarikaReddy115 • 3 years ago
Python3 tutorial
HarikaReddy115 • 3 years ago
Artificial intelligence tutorial
HarikaReddy115 • 3 years ago
Artificial neural network_tutorial
HarikaReddy115 • 3 years ago
Communication technologies tutorial
HarikaReddy115 • 3 years ago
Wireless communication tutorial
HarikaReddy115 • 3 years ago
Android tutorial
HarikaReddy115 • 4 years ago
Cassandra tutorial
HarikaReddy115 • 4 years ago
Docker tutorial
HarikaReddy115 • 4 years ago
Dynamodb tutorial
HarikaReddy115 • 4 years ago
Hadoop tutorial
HarikaReddy115 • 4 years ago
Http tutorial
HarikaReddy115 • 4 years ago
Html5 tutorial
HarikaReddy115 • 4 years ago
Ipv6 tutorial
HarikaReddy115 • 4 years ago
Amazon web services_tutorial
HarikaReddy115 • 4 years ago
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HarikaReddy115 • 4 years ago
Docker tutorial
HarikaReddy115 • 4 years ago
Jenkins tutorial
HarikaReddy115 • 4 years ago
Puppet tutorial
HarikaReddy115 • 4 years ago
Security testing tutorial
HarikaReddy115 • 3 years ago
Erlang tutorial
HarikaReddy115 • 3 years ago
Agile tutorial
HarikaReddy115 • 3 years ago
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Nico Meisenzahl • 1 year ago
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Simplilearn • 3 years ago
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Edureka! • 4 years ago
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Edureka! • 4 years ago
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MongoDB • 6 years ago
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MongoDB • 7 years ago
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MongoDB • 5 years ago
Fast Data with Apache Ignite and Apache Spark with Christos Erotocritou
Spark Summit • 5 years ago
Storage Engine Considerations for Your Apache Spark Applications with Mladen Kovacevic
Spark Summit • 5 years ago
How to Share State Across Multiple Apache Spark Jobs using Apache Ignite with Akmal Chaudri
Spark Summit • 5 years ago
Improving Traffic Prediction Using Weather Data with Ramya Raghavendra
Spark Summit • 5 years ago
Tagging Text in Money Transfers: A Use Case of Apache Spark in Production for Banking with Jose Roriguez Serrano
Spark Summit • 5 years ago
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Spark Summit • 7 years ago
Deep Dive: Memory Management in Apache Spark
Databricks • 6 years ago
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Eran Levy • 3 years ago
Microservices event-driven-saga
Vijay Redkar • 1 year ago
Why your Spark job is failing
Sandy Ryza • 8 years ago
Tuning and Debugging in Apache Spark
Patrick Wendell • 7 years ago
Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015
Databricks • 7 years ago
Top 5 Mistakes When Writing Spark Applications
Spark Summit • 6 years ago
Hadoop Internals
Pietro Michiardi • 7 years ago
Cluster Schedulers
Pietro Michiardi • 6 years ago
Scalable Algorithm Design with MapReduce
Pietro Michiardi • 7 years ago
Introduction to Spark Internals
Pietro Michiardi • 7 years ago
Meetup Mesos : Mesos, Chronos and Marathon in CI/CD factory
Laurent Grangeau • 7 years ago
SMACK Stack 1.1
Joe Stein • 6 years ago
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Joe Stein • 7 years ago
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Nitin Pande • 13 years ago
Kafka Tutorial - Introduction to Apache Kafka (Part 1)
Jean-Paul Azar • 5 years ago
KAILASH TEMPLE
Aditya kumar • 7 years ago
APPLYING DMAIC TO PROCESS IMPROVEMENT’S.
Kaustav Lahiri • 5 years ago
Project Quality Planning and KickOff
kaushikanirudh • 10 years ago
Chap 5.6 Control Scope
Anand Bobade • 3 years ago
Notification Framework
Sokna Ly • 6 years ago
Advanced rich push notifications
Erdem Yılmaz • 9 years ago
Performance Tuning Cheat Sheet for MongoDB
Severalnines • 4 years ago
Recsys 2016 tutorial: Lessons learned from building real-life recommender systems
Xavier Amatriain • 6 years ago
Recommendations with Neo4j
Michal Bachman • 8 years ago
Converting Relational to Graph Databases
Antonio Maccioni • 9 years ago
Relational to Graph - Import
Neo4j • 7 years ago
Designing and Building a Graph Database Application – Architectural Choices, Data Modeling, and Testing - Ian Robinson @ GraphConnect NY 2013
Neo4j • 9 years ago
Hadoop Summit Europe 2014: Apache Storm Architecture
P. Taylor Goetz • 8 years ago
Architect as Strategist
ebenhewitt • 4 years ago
Cassandra Data Model
ebenhewitt • 12 years ago
understand Storm in pictures
zqhxuyuan • 6 years ago
Cassandra model
zqhxuyuan • 6 years ago
Cassandra basic
zqhxuyuan • 6 years ago
Tombstones and Compaction
DataStax Academy • 7 years ago
Cassandra compaction
zqhxuyuan • 6 years ago
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NYC Predictive Analytics • 12 years ago
Back to Basics Webinar 4: Advanced Indexing, Text and Geospatial Indexes
MongoDB • 6 years ago
Azure from scratch Part 1 By Girish Kalamati
Girish Kalamati • 5 years ago
Distributed Stream Processing on Fluentd / #fluentd
SATOSHI TAGOMORI • 11 years ago
Introduction to the Disruptor
Trisha Gee • 10 years ago
Techniques for Scaling the Netflix API - QCon SF
Daniel Jacobson • 11 years ago
How Netflix Directs 1/3rd of Internet Traffic
C4Media • 7 years ago
How Uber scaled its Real Time Infrastructure to Trillion events per day
DataWorks Summit • 5 years ago
Mobile Architecture at Scale
Gergely Orosz • 4 years ago
Payments Integration at Uber: a (Short) Case Study
Gergely Orosz • 4 years ago
Stream Computing & Analytics at Uber
Sudhir Tonse • 6 years ago
A Solution for Leveraging Kafka to Provide End-to-End ACID Transactions
confluent • 4 years ago
Multi-Tenancy Kafka cluster for LINE services with 250 billion daily messages
LINE Corporation • 4 years ago
Apache Kafka, and the Rise of Stream Processing
Guozhang Wang • 6 years ago
Building Stream Infrastructure across Multiple Data Centers with Apache Kafka
Guozhang Wang • 6 years ago
Building a Replicated Logging System with Apache Kafka
Guozhang Wang • 7 years ago
Apache Kafka at LinkedIn
Guozhang Wang • 8 years ago
Introduction to Kafka Streams
Guozhang Wang • 6 years ago
Exactly-once Stream Processing with Kafka Streams
Guozhang Wang • 5 years ago
Apache Kafka from 0.7 to 1.0, History and Lesson Learned
Guozhang Wang • 4 years ago
Large scale stream processing with Apache Flink
Nikolay Stoitsev • 4 years ago
Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and Scala
Helena Edelson • 7 years ago
10 more lessons learned from building Machine Learning systems - MLConf
Xavier Amatriain • 7 years ago
Scalability, Availability & Stability Patterns
Jonas Bonér • 12 years ago
RedisDay London 2018 - How Redis Powers BBC Online's Biggest Pages
Redis Labs • 4 years ago
RedisDay London 2018 - How to Count at Scale
Redis Labs • 4 years ago
Digests for the book "Scalability Rules: 50 Principles for Scaling Web Sites"
Cyril Wang • 9 years ago
Top k string similarity search
Chiao-Meng Huang • 8 years ago
Personal Information
Organization / Workplace
New Delhi Area, India India
Occupation
Engineering Manager at Paytm
Industry
Technology / Software / Internet
Website
http://communities.siliconindia.com/ReshDoll4u
About
devotee of human engineering  Strong product development and R&D experience of eBay-CSC, SAP labs, Xebia, Talentica(Vuclip), Gramvaani, peopleStrong  Visionary in Product conceptualisation, analysing market trends and strategic product planning, creative thinking.  Product-process-productivity enrichment and optimization.  People management, client engagement and partnership, time-bound quality delivery of products.  Expertise in design, development of algorithms and their various types of analysis and optimization through various techniques.  Software performance engineering and scalability.  Confident of Java, data structures, design patterns, OOPs concept, having well exposure...
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