Sarang Anajwala

65 Abonné

Business focused technical leader, driven to enable data as transformational edge for business. Extensive experience in Architecture, Design and Development of BigData Analytics, Cloud, JEE(J2EE) and SOA systems. Expertise in building large scale distributed systems to process huge amount of structured and unstructured data using Hadoop stack and NoSql solutions. Proven ability to innovate and lead data strategy. Thought Leadership: • 2 Patents filed in BigData Analytics space • Speaker at Public Conferences and Technical Summits Technical Skills: ---------------------- • BigData - Architecture, design and development of BigData Analytics systems based on Hadoop ecosystem, Spark, Cassan...

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Sarang Anajwala

Avoiding big data antipatterns

Spark on yarn

How to Build a Recommendation Engine on Spark

Introduction to Spark Internals

Big Data visualization with Apache Spark and Zeppelin

Spark Job Server and Spark as a Query Engine (Spark Meetup 5/14)

Introduction to Apache Spark

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

Anomaly Detection - New York Machine Learning

Device status anomaly detection

A More Scaleable Way of Making Recommendations with MLlib-(Xiangrui Meng, Databricks)

New Developments in Spark

Migrating Complex Data Aggregation from Hadoop to Spark-(Ashish Singh andPuneet Kumar, PubMatic)

DC Spark bake off - Realtime TCP Packet Analysis using Spark and Azure Event Hubs

Introduction to Spark SQL & Catalyst

Spark SQL Deep Dive @ Melbourne Spark Meetup

Transitioning Compute Models: Hadoop MapReduce to Spark

Productionizing Spark and the Spark Job Server

Hive Now Sparks

DTCC '14 Spark Runtime Internals