Sigmoid

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SIGMOID We help companies identify use cases to address their big data challenges and help them to realize value from it. This encompasses end-to-end consultancy from data strategy to technology implementation. Our Consultants are certified industry experts and have worked extensively with Big Data technologies and tool sets including Hadoop and its ecosystem to provide scalable and reliable data solutions. We’re a smart, diverse, agile, hard-working (duh!), collaborative young bunch, but we’re also creative, passionate, thoughtful, and undeniably obsessed with what we work on. There’s a lot of talent behind Sigmoid Analytics… and it all begins here. Join Us! Be a part of something EXCI...

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Sigmoid

Présentations

Graph x pregel

Sigmoid akka stream

Datacenter Computing and Resource Management Using Apache Mesos

Recommendation Engine using Spark's MLlib

Pig on spark

Real Time search using Spark and Elasticsearch

Real-time Supply Chain Analytics

Productionizing spark

Spark and spark streaming internals

Composing and scaling data platforms

Sparkstreaming with kafka and h base at scale (1)

Tale of Kafka Consumer for Spark Streaming

Spark Dataframe - Mr. Jyotiska

Introduction to Spark R with R studio - Mr. Pragith

Dashboard design By Anu Vijayan

Time series database by Harshil Ambagade

Using spark for timeseries graph analytics

Graph Analytics for big data

Graph computation

Approaches to text analysis

Introduction to apache nutch

Equation solving-at-scale-using-apache-spark

Building high scalable distributed framework on apache mesos

Angular js performance improvements

WEBSOCKETS AND WEBWORKERS

Failsafe Hadoop Infrastructure and the way they work

Building bots to automate common developer tasks - Writing your first smart chatbot

Joining Large data at Scale

ML on Big Data: Real-Time Analysis on Time Series

SORT & JOIN IN SPARK 2.0

Documents

Real-Time Stock Market Analysis using Spark Streaming