Jack Mundi

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Specialties: Microservices Cloud Evangelist: Amazon Web Services. Helping clients navigate cloud migrations. Transforming businesses into centers of innovation. Migrating clients from batch analytics to real-time analytics. Polyglot programmer: Python, Ruby, R, Java, Scala, and Go Data Collection: Data Pipeline Engineering (Nifi, RabbitMQ, Kafka, Flink, Flume, Kinesis, Data Storage: Search (Solr & ElasticSearch), DynamoDB, HDFS, S3, Cassandra, HBase Analysis: MapReduce, Spark, Storm, Drill, AtScale, Tez Analytical Methods: Supervised and Unsupervised learning. Visualization: Tableau, d3, Look, Qlik, PowerView, MicroStrategy, Grafana Data Security: various encryption frameworks (SSL, A...

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Jack Mundi

Kafka at Peak Performance

Putting Kafka Into Overdrive

How Much Kafka?

Migration to Redshift from SQL Server

Lessons Learned From Running Spark On Docker

A Simple Introduction to Word Embeddings

AWS Security Best Practices (March 2017)

Encryption and Key Management in AWS

Advanced Security Best Practices Masterclass

Integrating Security into DevOps and CI / CD Environments - Pop-up Loft TLV 2017

Build Features, Not Apps

Autoscaling Best Practices

AWS re:Invent 2016: DNS Demystified: Getting Started with Amazon Route 53, featuring Warner Bros. Entertainment (NET202)

AWS re:Invent 2016: Tableau Rules of Engagement in the Cloud (STG306)

Embedding with Tableau Server

Top 5 Mistakes to Avoid When Writing Apache Spark Applications

A Visual Introduction to Event Sourcing and CQRS by Lorenzo Nicora

Best Practices for Building a Data Lake with Amazon S3 - August 2016 Monthly Webinar Series

Implementing a Data Lake with Enterprise Grade Data Governance

AWS re:Invent 2016: How to Build a Big Data Analytics Data Lake (LFS303)