Ricardo Gaspar

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I'm a young student of Computer Science and I'm passionate about computers and networks! Since I concluded my vocational course I've been working as an IT Technician... and I've learned a lot! As I build up my career I can confirm that: with great power comes great responsibility! My power results from my experience and hard work! I look forward to work where I can develop my skills and learn new things. I'm a savvy engineer who likes working with a team to solve problems. I like to be continually challenged. One of my life goals is to contribute to the human knowledge and the scientific community by working as a computer scientist in a place like ESA or CERN where there are huge compu...

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Ricardo Gaspar

Beyond Parallelize and Collect by Holden Karau

ABD201-Big Data Architectural Patterns and Best Practices on AWS

Efficient Data Storage for Analytics with Apache Parquet 2.0

Parquet performance tuning: the missing guide

File Format Benchmarks - Avro, JSON, ORC, & Parquet

Apache spark - Spark's distributed programming model

Deep Learning with Apache Spark and GPUs with Pierce Spitler

Cassandra Day SV 2014: Spark, Shark, and Apache Cassandra

IoT Architecture - are traditional architectures good enough or do we need new approaches?

Data Scientist vs Data Analyst vs Data Engineer - Role & Responsibility, Skills, Salary |Simplilearn

Bridging the Gap Between Data Science & Engineer: Building High-Performance Teams

Evolving Hadoop into an Operational Platform with Data Applications

A timeline view of Evolution of Analytics

Big Data pipeline with Scala by Rohit Rai, Tuplejump - presented at Pune Scala Symposium 2014, ThoughtWorks

What's new in hadoop 3.0

Evolution of Big Data Messaging

Introduction to Hadoop - The Essentials

Building a Data Pipeline using Apache Airflow (on AWS / GCP)

Testing batch and streaming Spark applications

Unit testing of spark applications