Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Senior Staff Data Engineer at Udemy
Webseite
www.linkedin.com/in/accavdar
Info
Big Data Architecture, Cluster Computing, Data ETL pipelines, Service Oriented Architecture, Cloud Computing, Agile Methodologies, Continuous Deployment/Delivery, Software Engineering/Architecture
Specialties:
- Hadoop, Pig, Hive, Presto, Apache Spark
- AWS (Certified Solution Architect), Elastic MapReduce, Redshift, S3
- Kinesis, Kafka
- NoSQL Technologies (Redis, MongoDB, Cassandra, Elastic Search)
- Spring Boot, Spring Security, Spring XD, Spring Data
- Python, Django
- Docker, Ansible, Vagrant, Packer
Tags
big data
apache spark
data analytics
software architecture
hadoop
12-factor app
the twelve-factor app
cloud computing
12factor.net
saas
microservices
patterns
tips
best practices
django
tricks
python
internet of things
iot
google
amazon redshift
redshift
aws
amazon
amazon web services
mobile
devfestankara
ux
design
ui
android
Mehr anzeigen
- Präsentationen
- Dokumente
- Infografiken
Introduction To Streaming Data and Stream Processing with Apache Kafka
confluent
•
Vor 7 Jahren
Kafka Tutorial - Introduction to Apache Kafka (Part 1)
Jean-Paul Azar
•
Vor 6 Jahren
Scalability, Availability & Stability Patterns
Jonas Bonér
•
Vor 13 Jahren
A Deep Dive into Stateful Stream Processing in Structured Streaming with Tathagata Das
Databricks
•
Vor 5 Jahren
HDFS on Kubernetes—Lessons Learned with Kimoon Kim
Databricks
•
Vor 6 Jahren
Introducing DataFrames in Spark for Large Scale Data Science
Databricks
•
Vor 9 Jahren
What's New in Apache Spark 2.3 & Why Should You Care
Databricks
•
Vor 5 Jahren
Apache Ignite vs Alluxio: Memory Speed Big Data Analytics
DataWorks Summit
•
Vor 6 Jahren
Operationalizing Machine Learning: Serving ML Models
Lightbend
•
Vor 6 Jahren
Data ops: Machine Learning in production
Stepan Pushkarev
•
Vor 6 Jahren
High Performance TensorFlow in Production - Big Data Spain - Madrid - Nov 15 2017
Chris Fregly
•
Vor 6 Jahren
Jolt: Distributed, fault-tolerant test running at scale using Mesos
Mesosphere Inc.
•
Vor 6 Jahren
Deploying Kong with Mesosphere DC/OS
Mesosphere Inc.
•
Vor 6 Jahren
DevOps for DataScience
Stepan Pushkarev
•
Vor 7 Jahren
Spark ML Pipeline serving
Stepan Pushkarev
•
Vor 6 Jahren
Spark and machine learning in microservices architecture
Stepan Pushkarev
•
Vor 6 Jahren
Apache Kafka Best Practices
DataWorks Summit/Hadoop Summit
•
Vor 7 Jahren
Interactive Analytics using Apache Spark
Sachin Aggarwal
•
Vor 8 Jahren
Scala Data Pipelines for Music Recommendations
Chris Johnson
•
Vor 9 Jahren
Productionizing Spark and the REST Job Server- Evan Chan
Spark Summit
•
Vor 8 Jahren